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ORCID16th ISBI 2019: Venice, Italy
- 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019. IEEE 2019, ISBN 978-1-5386-3641-1
- Kristofer Pomiecko, Carson Sestili, Kate Fissell, Sudhir K. Pathak, David O. Okonkwo, Walter Schneider:
3D Convolutional Neural Network Segmentation of White Matter Tract Masks from MR Diffusion Anisotropy Maps. 1-5 - Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer:
Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. 6-10 - Yue Zhang, Jiong Wu
, Wanli Chen, Yifan Chen, Xiaoying Tang:
Prostate Segmentation Using Z-Net. 11-14 - Thorbjørn Louring Koch, Mathias Perslev, Christian Igel, Sami Sebastian Brandt:
Accurate Segmentation of Dental Panoramic Radiographs with U-NETS. 15-19 - Li Liu, Da Chen, Laurent D. Cohen, Huazhong Shu, Michel Pâques:
Vessel Extraction Using Crossing-Adaptive Minimal Path Model With Anisotropic Enhancement And Curvature Constraint. 20-23 - Xiaoyuan Guo, Fusheng Wang, George Teodoro, Alton B. Farris, Jun Kong:
Liver Steatosis Segmentation With Deep Learning Methods. 24-27 - Jingxin Liu, Libo Liu, Bolei Xu, Xianxu Hou, Bozhi Liu, Xin Chen, Linlin Shen, Guoping Qiu:
Bladder Cancer Multi-Class Segmentation in MRI With Pyramid-In-Pyramid Network. 28-31 - Yitian Zhou, Laurent Launay, Julien Bert, Renaud de Crevoisier, Oscar Acosta:
Optimized Multi-Atlas Prostate Segmentation From 3D CT Images. 32-35 - Pierre-Henri Conze, Christelle Pons, Valérie Burdin, Frances T. Sheehan, Sylvain Brochard:
Deep convolutional encoder-decoders for deltoid segmentation using healthy versus pathological learning transferability. 36-39 - Alexander Tack, Stefan Zachow:
Accurate Automated Volumetry of Cartilage of the Knee Using Convolutional Neural Networks: Data From the Osteoarthritis Initiative. 40-43 - Zhaoyang Xu, Faranak Sobhani, Carlos Fernández Moro, Qianni Zhang:
US-Net for Robust and Efficient Nuclei Instance Segmentation. 44-47 - Ibraheem Al-Dhamari, Sabine Bauer, Eva Keller, Dietrich Paulus:
Automatic Detection of Cervical Spine Ligaments Origin and Insertion Points. 48-51 - Matvey Ezhov, Adel Zakirov, Maxim Gusarev:
Coarse-to-fine volumetric segmentation of teeth in cone-beam ct. 52-56 - Suraj Mishra, Peixian Liang, Adam Czajka, Danny Z. Chen, Xiaobo Sharon Hu:
CC-NET: Image Complexity Guided Network Compression for Biomedical Image Segmentation. 57-60 - Jian Kang, Gihan Samarasinghe, Upul Senanayake, Sailesh Conjeti, Arcot Sowmya:
Deep Learning for Volumetric Segmentation in Spatio-Temporal Data: Application to Segmentation of Prostate in DCE-MRI. 61-65 - Deepak Roy Chittajallu, Bo Dong, Paul Tunison, Roddy Collins, Katerina O. Wells, James W. Fleshman, Ganesh Sankaranarayanan, Steven D. Schwaitzberg, Lora Cavuoto, Andinet Enquobahrie:
XAI-CBIR: Explainable AI System for Content based Retrieval of Video Frames from Minimally Invasive Surgery Videos. 66-69 - Yu Tian, Leonardo Z. C. T. Pu, Rajvinder Singh, Alastair D. Burt, Gustavo Carneiro:
One-Stage Five-Class Polyp Detection and Classification. 70-73 - Roger Fonollá, Fons van der Sommen, Ramon-Michel Schreuder, Erik J. Schoon, Peter H. N. de With:
Multi-Modal Classification of Polyp Malignancy using CNN Features with Balanced Class Augmentation. 74-78 - He Zheng, Hanbo Chen, Junzhou Huang, Xuzhi Li, Xiao Han, Jianhua Yao:
Polyp Tracking in Video Colonoscopy Using Optical Flow With an On-The-Fly Trained CNN. 79-82 - Gil Pinheiro, Paulo Jorge Simões Coelho, Mariana Mourão, Marta Salgado, Hélder P. Oliveira, António Cunha:
Small Bowel Mucosa Segmentation for Frame Characterization in Videos of Endoscopic Capsules. 83-86 - Adrian Galdran, Pedro Costa, Aurélio Campilho:
Real-Time Informative Laryngoscopic Frame Classification with Pre-Trained Convolutional Neural Networks. 87-90 - Sharib Ali, Jens Rittscher:
Efficient Video Indexing for Monitoring Disease Activity and Progression in the Upper Gastrointestinal Tract. 91-95 - Vinu Sankar Sadasivan, Chandra Sekhar Seelamantula:
High Accuracy Patch-Level Classification of Wireless Capsule Endoscopy Images Using a Convolutional Neural Network. 96-99 - Changhoo Lee, Junki Min, Jaemyung Cha, Seungkyu Lee:
Feature Space Extrapolation for Ulcer Classification in Wireless Capsule Endoscopy Images. 100-103 - Xiaohan Xing, Yixuan Yuan, Xiao Jia, Max Q.-H. Meng:
A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images. 104-107 - Xu Gao, Weining Shen, Chee-Ming Ting, Steven C. Cramer, Ramesh Srinivasan, Hernando C. Ombao:
Estimating Brain Connectivity Using Copula Gaussian Graphical Models. 108-112 - Moo K. Chung, Shih-Gu Huang, Andrey Gritsenko, Li Shen, Hyekyoung Lee:
Statistical Inference on the Number of Cycles in Brain Networks. 113-116 - Xuejiao Dou, Hongxiang Yao, Dan Jin, Feng Feng, Pan Wang, Bo Zhou, Bing Liu, Zhengyi Yang, Ningyu An, Xi Zhang, Yong Liu:
Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification. 117-121 - Alessandro Crimi, E. Kara:
Spreading Model for Patients with Parkinson's Disease Based on Connectivity Differences. 122-125 - Emily L. Dennis, Ananya Singh, Conor K. Corbin, Neda Jahanshad, Tiffany C. Ho, Lucy S. King, Lauren R. Borchers, Kathryn L. Humphreys, Paul M. Thompson, Ian H. Gotlib:
Associations Between Maternal Depression and Infant Fronto-Limbic Connectivity. 126-130 - Tomasz Pieciak, Fabian Bogusz, Antonio Tristán-Vega, Rodrigo de Luis García, Santiago Aja-Fernández:
Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise. 131-134 - Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti:
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. 135-138 - Yoshitaka Masutani:
Noise Level Matching Improves Robustness of Diffusion Mri Parameter Inference by Synthetic Q-Space Learning. 139-142 - Omar D. Domingues, Philippe Ciuciu, Daria La Rocca, Patrice Abry, Herwig Wendt:
Multifractal Analysis for Cumulant-Based Epileptic Seizure Detection in Eeg Time Series. 143-146 - Silvia Francesca Storti, Emanuela Formaggio, Lucio Pastena, Massimo Melucci, Lucio Ricciardi, Fabio Faralli, R. Gagliardi, Gloria Menegaz:
Expertise-Related Global Efficiency of Functional Brain Networks in Professional and new Divers Under Simulated Deep-Water. 147-150 - Julie Coloigner, Anne-Claire Binter, Elise Bannier, Jean-Christophe Ferré, Cécile Chevrier, Christian Barillot, Fabienne Pelé:
Effect of Prenatal Organic Solvent Exposure on Structural Connectivity at Childhood. 151-154 - Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu D. Santin, Anne-Charlotte Philippe, Stéphane Lehéricy, Rachid Deriche, Demian Wassermann:
Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI. 155-158 - Anjali Tarun, David Abramian, Hamid Behjat, Dimitri Van De Ville:
Graph Spectral Analysis of Voxel-Wise Brain Graphs from Diffusion-Weighted Mri. 159-163 - Li Wang, Lu Zhang, Dajiang Zhu:
Accessing Latent Connectome of Mild Cognitive Impairment via Discriminant Structure Learning. 164-168 - Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan:
Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. 169-172 - Talia M. Nir, Sophia I. Thomopoulos, Julio E. Villalon-Reina, Artemis Zavaliangos-Petropulu, Emily L. Dennis, Robert I. Reid, Matt A. Bernstein, Bret J. Borowski, Clifford R. Jack, Michael W. Weiner, Neda Jahanshad, Paul M. Thompson:
Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3. 173-177 - Andrea Vázquez, Narciso López-López, Nicole Labra, Miguel E. Figueroa, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Parallel Optimization of Fiber Bundle Segmentation for Massive Tractography Datasets. 178-181 - Lorenza Brusini, Federica Cruciani, Ilaria Boscolo Galazzo, Alberto Galbusera, Mirta Borin, Giovanna Paolone, Giovanni Diana, Mario Buffelli, Alessandro Gozzi, Gloria Menegaz:
Can Single Shell Diffusion MRI Detect Synaptic Plasticity in Mice? 182-185 - Vishwesh Nath, Kurt G. Schilling, Samuel Remedios, Roza G. Bayrak, Yurui Gao, Justin A. Blaber, Yuankai Huo, Bennett A. Landman, Adam W. Anderson:
Learning 3D White Matter Microstructure from 2D Histology. 186-190 - Youyi Song, Jing Qin, Baiying Lei, Shengfeng He, Kup-Sze Choi:
JOint Shape Matching for Overlapping Cytoplasm Segmentation in Cervical Smear Images. 191-194 - Kévin Giulietti, Guillaume Lavisse, Aurélie Charazac, Stephan Clavel, Frédéric Bost, Xavier Descombes:
An Adaptative Threshold Operator Taking Shape into Account: Application to Mitochondrial Network Segmentation. 195-198 - Birgit Möller, Katharina Bürstenbinder:
Semi-Automatic Cell Segmentation from Noisy Image Data for Quantification of Microtubule Organization on Single Cell Level. 199-203 - Ertunc Erdil, Ali Ozgur Argunsah, Tolga Tasdizen, Devrim Ünay, Müjdat Çetin:
Combining Nonparametric Spatial Context Priors With Nonparametric Shape Priors for Dendritic Spine Segmentation in 2-Photon Microscopy Images. 204-207 - Aarno Oskar Vuola, Saad Ullah Akram, Juho Kannala:
Mask-RCNN and U-Net Ensembled for Nuclei Segmentation. 208-212 - Greg M. Fleishman, Miaomiao Zhang, Nicholas J. Tustison, Isabel Espinosa-Medina, Yu Mu, Khaled Khairy, Misha B. Ahrens:
Deformable Registration of Whole Brain Zebrafish Microscopy Using an Implementation of the Flash Algorithm Within Ants. 213-217 - James Gornet, Kannan Umadevi Venkataraju, Arun Narasimhan, Nicholas L. Turner, Kisuk Lee, H. Sebastian Seung, Pavel Osten, Uygar Sümbül:
Reconstructing Neuronal Anatomy from Whole-Brain Images. 218-222 - Dennis Eschweiler, Thiago Vallin Spina, Rohan C. Choudhury, Elliot Meyerowitz, Alexandre Cunha, Johannes Stegmaier:
CNN-Based Preprocessing to Optimize Watershed-Based Cell Segmentation in 3D Confocal Microscopy Images. 223-227 - Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Yue Wang, Dagan Feng, Hanchuan Peng, Weidong Cai:
Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network. 228-231 - Herman Bergwerf, Malik Bechakra, Ihor Smal, Joost L. M. Jongen, Erik Meijering:
Nerve Fiber Segmentation in Bright-Field Microscopy Images of Skin Biopsies Using Deep Learning. 232-235 - Filip Lux, Petr Matula:
DIC Image Segmentation of Dense Cell Populations by Combining Deep Learning and Watershed. 236-239 - Ha Tran Hong Phan, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Optimizing Contextual Feature Learning for Mitosis Detection with Convolutional Recurrent Neural Networks. 240-243 - Kyle Luther, H. Sebastian Seung:
Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images. 244-248 - Santiago Silva, Boris A. Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. 270-274 - André Altmann, Janaina Mourão Miranda:
Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI. 275-279 - Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports. 285-288 - Jie Yang, Thomas Vetterli, Pallavi P. Balte, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study. 289-293 - P. M. Gordaliza, Juan José Vaquero, Sally Sharpe, Fergus Gleeson, Arrate Muñoz-Barrutia:
Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning. 294-297 - Mario Zusag, Sujal R. Desai, Marcello Di Paolo, Thomas Semple, Anand Shah, Elsa D. Angelini:
SAPSAM - Sparsely Annotated Pathological Sign Activation Maps - A Novel Approach To Train Convolutional Neural Networks On Lung CT Scans Using Binary Labels Only. 298-302 - David Bermejo-Peláez, Yuka Okajima, George R. Washko, María-Jesus Ledesma-Carbayo, Raúl San José Estépar:
A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation. 303-306 - Laurène Donati, Emmanuel Soubies, Michael Unser:
Inner-Loop-Free Admm For Cryo-Em. 307-311 - Olivia Mariani, Kevin G. Chan, Alexander Ernst, Nadia Mercader, Michael Liebling:
Virtual High-Framerate Microscopy Of The Beating Heart Via Sorting Of Still Images. 312-315 - Emmanuel Soubies, Laure Blanc-Féraud, Sébastien Schaub, Ellen Van Obberghen-Schilling:
Improving 3D MA-TIRF Reconstruction with Deconvolution and Background Estimation. 316-320 - Thanh-An Pham, Emmanuel Soubies, Daniel Sage, Michael Unser:
Closed-Form Expression Of The Fourier Ring-Correlation For Single-Molecule Localization Microscopy. 321-324 - Hesam Mazidi, Eshan S. King, Oumeng Zhang, Arye Nehorai, Matthew D. Lew:
Dense Super-Resolution Imaging of Molecular Orientation Via Joint Sparse Basis Deconvolution and Spatial Pooling. 325-329 - Timothy L. Kline:
Segmenting New Image Acquisitions Without Labels. 330-333 - Iman Aganj, Bruce Fischl:
Expected Label Value Computation for Atlas-Based Image Segmentation. 334-338 - Peixian Liang, Jianxu Chen, Hao Zheng, Lin Yang, Yizhe Zhang, Danny Z. Chen:
Cascade Decoder: A Universal Decoding Method For Biomedical Image Segmentation. 339-342 - Anton Böhm, Maxim Tatarchenko, Thorsten Falk:
ISOOV2 DL - Semantic Instance Segmentation of Touching and Overlapping Objects. 343-347 - John A. Onofrey, Dana I. Casetti-Dinescu, Andreas D. Lauritzen, Saradwata Sarkar, Rajesh Venkataraman, Richard E. Fan, Geoffrey A. Sonn, Preston C. Sprenkle, Lawrence H. Staib, Xenophon Papademetris:
Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization. 348-351 - Mengting Liu, Claude Lepage, Seun Jeon, Trevor Flynn, Shiyu Yuan, Justin Kim, Arthur W. Toga, A. James Barkovich, Duan Xu, Alan C. Evans, Hosung Kim:
A Skeleton and Deformation Based Model for Neonatal Pial Surface Reconstruction in Preterm Newborns. 352-355 - Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo, Andrew J. Saykin, Li Shen:
Diagnosis Status Guided Brain Imaging Genetics Via Integrated Regression And Sparse Canonical Correlation Analysis. 356-359 - Zhe Sun, Ji Won Seo, Jee Yeon Lee, Min Young Kwak, Yehree Kim, Je Yeon Lee, Arthur W. Toga, Hong Ju Park, Hosung Kim:
Random Forest Regression Combined with MRI Brain Morphometry Predicts Surgical Outcome of Cochlear Implantation. 360-363 - Wouter M. Kouw, Marco Loog, Lambertus W. Bartels, Adriënne M. Mendrik:
Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. 364-367 - Hongming Li, Yong Fan:
Early Prediction Of Alzheimer's Disease Dementia Based On Baseline Hippocampal MRI and 1-Year Follow-Up Cognitive Measures Using Deep Recurrent Neural Networks. 368-371 - Adnan Ahmad, Srinjay Sarkar, Apurva Shah, Sonal Gore, Vani Santosh, Jitender Saini, Madhura Ingalhalikar:
Predictive and discriminative localization of IDH genotype in high grade gliomas using deep convolutional neural nets. 372-375 - Matteo Tonietto, Francesca Zanderigo, Alessandra Bertoldo, Davangere P. Devanand, J. John Mann, Benedetta Bodini, Bruno Stankoff:
Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [18F]Fdg Metabolic Rate. 376-379 - Masaru Ueda, Koichi Ito, Kai Wu, Kazunori Sato, Yasuyuki Taki, Hiroshi Fukuda, Takafumi Aoki:
An Age Estimation Method Using 3D-CNN From Brain MRI Images. 380-383 - Shiqi Li, Haijun Lei, Feng Zhou, Jamal Gardezi, Baiying Lei:
Longitudinal and Multi-modal Data Learning for Parkinson's Disease Diagnosis via Stacked Sparse Auto-encoder. 384-387 - Monami Banerjee, Rudrasis Chakraborty, Derek B. Archer, David E. Vaillancourt, Baba C. Vemuri:
DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification. 388-391 - Slim Karkar, Arnaud Gloaguen, Yann Le Guen, Morgane Pierre-Jean, Claire Dandine-Roulland, Edith Le Floch, Cathy Philippe, Arthur Tenenhaus, Vincent Frouin:
Multivariate Haplotype Analysis Of 96 Sulci Opening For 15, 612 UK-Biobank Sujects. 392-395 - Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Cortical Foldingprints for Infant Identification. 396-399 - Hassna Irzan, Helen O'Reilly, Sébastien Ourselin, Neil Marlow, Andrew Melbourne:
A Framework For Memory Performance Prediction From Brain Volume In Preterm-Born Adolescents. 400-403 - Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. 404-408 - Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui:
Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. 409-413 - Tzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Heidi I. L. Jacobs, Georges El Fakhri, Quanzheng Li, Keith A. Johnson, Joyita Dutta:
Graph Convolutional Neural Networks For Alzheimer's Disease Classification. 414-417 - Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu:
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. 418-421 - Jing Xia, Fan Wang, Zhengwang Wu, Li Wang, Yaping Wang, Caiming Zhang, Weili Lin, Dinggang Shen, Gang Li:
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy. 422-425 - Cindy Rolland, Jessica Lebenberg, François Leroy, Eric Moulton, Parvaneh Adibpour, Denis Rivière, Cyril Poupon, Lucie Hertz-Pannier, Jean-François Mangin, Ghislaine Dehaene-Lambertz, Jessica Dubois:
Exploring Microstructure Asymmetries in the Infant Brain Cortex: A Methodological Framework Combining Structural and Diffusion Mri. 426-429 - Xueying Chen, Rong Zhang, Pingkun Yan:
Feature Fusion Encoder Decoder Network for Automatic Liver Lesion Segmentation. 430-433 - Yixuan Yuan, Wenjian Qin, Xiaoqing Guo, Mark Buyyounouski, Steve Hancock, Bin Han, Lei Xing:
Prostate Segmentation with Encoder-Decoder Densely Connected Convolutional Network (Ed-Densenet). 434-437 - Yuchong Gu, Yaoming Lai, Peiliang Xie, Jun Wei, Yao Lu:
Multi-Scale Prediction Network for Lung Segmentation. 438-442 - Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra:
Towards Continuous Domain Adaptation For Medical Imaging. 443-446 - Feng Jiang, Feng Zhou, Jing Qin, Tianfu Wang, Baiying Lei:
Decision-Augmented Generative Adversarial Network for Skin Lesion Segmentation. 447-450 - Ahmed H. Shahin, Karim Amer, Mustafa A. Elattar:
Deep Convolutional Encoder-Decoders with Aggregated Multi-Resolution Skip Connections for Skin Lesion Segmentation. 451-454 - Chaitanya Kaul, Suresh Manandhar, Nick E. Pears:
Focusnet: An Attention-Based Fully Convolutional Network for Medical Image Segmentation. 455-458 - Alessandro Delmonte, Corentin Mercier, Johan Pallud, Isabelle Bloch, Pietro Gori:
White Matter Multi-Resolution Segmentation Using Fuzzy Set Theory. 459-462 - Zhewei Wang, Weizhen Cai, Charles D. Smith, Noriko Kantake, Thomas J. Rosol, Jundong Liu:
Residual Pyramid Fcn for Robust Follicle Segmentation. 463-467 - Huitong Pan, Yushan Feng, Quan Chen, Craig H. Meyer, Xue Feng:
Prostate Segmentation From 3D Mri Using A Two-Stage Model and Variable-Input Based Uncertainty Measure. 468-471 - Yushan Feng, Huitong Pan, Craig H. Meyer, Xue Feng:
A Self-Adaptive Network for Multiple Sclerosis Lesion Segmentation From Multi-Contrast MRI With Various Imaging Sequences. 472-475 - Yuchen Pei, Wenjin Xia, Xiuying Wang, Jieyu Li, Hongwei Ye, Lisheng Wang:
3D Structure Surface Modelling From Volumetric CT Images. 476-479 - Nassim Guerroumi, Clément Playout, Catherine Laporte, Farida Cheriet:
Automatic Segmentation of the Scoliotic Spine from Mr Images. 480-484 - Eric Z. Chen, Xu Dong, Xiaoxiao Li, Hongda Jiang, Ruichen Rong, Junyan Wu:
Lesion Attributes Segmentation for Melanoma Detection with Multi-Task U-Net. 485-488 - Qian Zhang, Yuan Xue, Xiaolei Huang:
Online Training for Body Part Segmentation in Infant Movement Videos. 489-492 - Sarun Gulyanon, Liping He, W. Dan Tracey, Gavriil Tsechpenakis:
Neuron Tracking in Calcium Image Stacks Using Accordion Articulations. 493-496 - Nicolas Courilleau, Yannick Rémion, Laurent Lucas:
Simulating Depth Perception in Virtual Microscopy. 497-501 - Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino, Florian Jug:
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data. 502-506 - Veronica C. Torres, Lagnojita Sinha, Chengyue Li, Kenneth M. Tichauer, Jovan G. Brankov:
Excised Whole Lymph Node Imaging for Cancer Staging with Angular Restriction Dual Fluorescent Optical Projection Tomography. 507-511 - Abdullah Nazib, Clinton Fookes, Dimitri Perrin:
Towards Extreme-Resolution Image Registration with Deep Learning. 512-516 - Thomas Wollmann, Christian Ritter, Jan-Niklas Dohrke, Ji Young Lee, Ralf Bartenschlager, Karl Rohr:
Detnet: Deep Neural Network For Particle Detection In Fluorescence Microscopy Images. 517-520 - Minh Son Phan, Katherine Matho, Lamiae Abdeladim, Jean Livet, Emmanuel Beaurepaire, Anatole Chessel:
Automated Quantification With Sub-Micrometer Scale Precision In Volumetric Multicolor Multiphoton Microscopy Images. 521-525 - Sunil Kumar Gaire, Chaoyi Zhang, Hongyu Li, Peizhou Huang, Ruiying Liu, Haifeng Wang, Dong Liang, Leslie Ying:
Accelerated 3D Localization Microscopy Using Blind Sparse Inpainting. 526-529 - Mahmoud Abdolhoseini, Murielle G. Kluge, Frederick Rohan Walker, Sarah J. Johnson:
Neuron Image Synthesizer Via Gaussian Mixture Model and Perlin Noise. 530-533 - Yi Yin, Stéphanie Prigent, Joan Torrent, Human Rezaei, Dirk Drasdo, Marie Doumic:
Automated Quantification of Amyloid Fibrils Morphological Features by Image Processing Techniques. 534-537 - Soonam Lee, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three Dimensional Blind Image Deconvolution for Fluorescence Microscopy using Generative Adversarial Networks. 538-542 - Thyagarajan Radhakrishnan, Suyash P. Awate:
A Unified Bayesian MRF-Based Poissonian Deconvolution And Segmentation Algorithm For Quantitative Colocalization Analysis In Dual-Color Fluorescence Microscopy. 543-547 - Amit Suveer, Anindya Gupta, Gustaf Kylberg, Ida-Maria Sintorn:
Super-Resolution Reconstruction of Transmission Electron Microscopy Images Using Deep Learning. 548-551 - Hasti Shabani, Simon Labouesse, Anne Sentenac, Chrysanthe Preza:
Three-dimensional deconvolution based on axial-scanning model for structured illumination microscopy. 552-555 - Adrian Galdran, Maria Inês Meyer, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho:
Uncertainty-Aware Artery/Vein Classification on Retinal Images. 556-560 - Guillaume Noyel, Rebecca Thomas, Simon Iles, Gavin Bhakta, Andrew Crowder, David R. Owens, Peter Boyle:
Registration Of Retinal Images From Public Health By Minimising An Error Between Vessels Using An Affine Model With Radial Distortions. 561-564 - Yuhan Zhang, Zexuan Ji, Sijie Niu, Theodore Leng, Daniel L. Rubin, Qiang Chen:
A Multi-Scale Deep Convolutional Neural Network For Joint Segmentation And Prediction Of Geographic Atrophy In SD-OCT Images. 565-568 - Sukesh Adiga V, Jayanthi Sivaswamy:
Matching The Characteristics Of Fundus And Smartphone Camera Images. 569-572 - Maroof Ahmad, Nikhil Kasukurthi, Harshit Pande:
Deep Learning for Weak Supervision of Diabetic Retinopathy Abnormalities. 573-577 - Shivam Shah, Nikhil Kasukurthi, Harshit Pande:
Dynamic Region Proposal Networks For Semantic Segmentation In Automated Glaucoma Screening. 578-582 - Anurag Deshmukh, Jayanthi Sivaswamy:
Synthesis of Optical Nerve Head Region of Fundus Image. 583-586 - Nabila Eladawi, Ahmed ElTanboly, Mohammed Elmogy, Mohammed Ghazal, Luay Fraiwan, Ahmed Aboelfetouh, Alaa Eldin M. Riad, Robert Keynton, Magdi El-Azab, Shlomit Schaal, Ayman El-Baz:
Diabetic Retinopathy Early Detection Based on OCT and OCTA Feature Fusion. 587-591 - Yihao Liu, Aaron Carass, Angeliki Filippatou, Yufan He, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Projection Artifact Suppression For Inner Retina In Oct Angiography. 592-596 - Zizheng Yan, Xiaoguang Han, Changmiao Wang, Yuda Qiu, Zixiang Xiong, Shuguang Cui:
Learning Mutually Local-Global U-Nets For High-Resolution Retinal Lesion Segmentation In Fundus Images. 597-600 - Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing:
Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. 601-604 - Philipp Seeböck, David Romo-Bucheli, Sebastian M. Waldstein, Hrvoje Bogunovic, José Ignacio Orlando, Bianca S. Gerendas, Georg Langs, Ursula Schmidt-Erfurth:
Using Cyclegans for Effectively Reducing Image Variability Across OCT Devices and Improving Retinal Fluid Segmentation. 605-609 - Lin Fang, Huafeng Liu:
Non-Invasive Locating Of Premature Ventricular Contraction Origin With Low Rank/Tv Regularization. 636-639 - Irem Cetin, Steffen E. Petersen, Sandy Napel, Oscar Camara, Miguel Ángel González Ballester, Karim Lekadir:
A Radiomics Approach to Analyze Cardiac Alterations in Hypertension. 640-643 - Daniela O. Medley, Carlos Santiago, Jacinto C. Nascimento:
Segmenting The Left Ventricle In Cardiac In Cardiac MRI: From Handcrafted To Deep Region Based Descriptors. 644-648 - Mohammad H. Jafari, Hany Girgis, Amir H. Abdi, Zhibin Liao, Mehran Pesteie, Robert Rohling, Ken Gin, Terasa Tsang, Purang Abolmaesumi:
Semi-Supervised Learning For Cardiac Left Ventricle Segmentation Using Conditional Deep Generative Models as Prior. 649-652 - Chao Song, Yongyi Yang, Miles N. Wernick, P. Hendrik Pretorius, Michael A. King:
Low-Dose Cardiac-Gated Spect Studies Using a Residual Convolutional Neural Network. 653-656 - Ahmed Karam Eldaly, Yoann Altmann, Ahsan R. Akram, Antonios Perperidis, Kevin Dhaliwal, Steve McLaughlin:
Patch-Based Sparse Representation For Bacterial Detection. 657-661 - Mohamed Oughou, Eric Cunha, Eric Biot, Nicolas Arnaud, Patrick Laufs, Philippe Andrey, Jasmine Burguet:
Dynamic Atlasing Of Gene Expression Domains From Individual Images. 662-665 - Matteo Mancini, Shauna Crampsie, David L. Thomas, Zane Jaunmuktane, Janice L. Holton, Juan Eugenio Iglesias:
Hierarchical Joint Registration of Tissue Blocks With Soft Shape Constraints For Large-Scale Histology of The Human Brain. 666-669 - Thanh Nguyen-Duc, Inwan Yoo, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Lee, Won-Ki Jeong:
Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation. 670-673 - Farhad Ghazvinian Zanjani, Andreas Panteli, Svitlana Zinger, Fons van der Sommen, Tao Tan, Benjamin Balluff, D. R. Naomi Vos, Shane R. Ellis, Ron M. A. Heeren, Marit Lucas, Henk A. Marquering, Ivo G. H. Jansen, C. D. Savci-Heijink, Daniel M. de Bruin, Peter H. N. de With:
Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks. 674-678 - Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Localizing Image-Based Biomarker Regression Without Training Masks: A New Approach to Biomarker Discovery. 679-682 - Nabila Abraham, Naimul Mefraz Khan:
A Novel Focal Tversky Loss Function With Improved Attention U-Net for Lesion Segmentation. 683-687 - Shahin Ebrahimi, Laurent Gajny, Wafa Skalli, Elsa D. Angelini:
Automatic Segmentation and Identification of Spinous Processes on Sagittal X-Rays Based on Random Forest Classification and Dedicated Contextual Features. 688-691 - Min Jin Lee, Helen Hong, Kyu Won Shim, Seongeun Park:
MGB-NET: Orbital Bone Segmentation from Head and Neck CT Images Using Multi-Graylevel-Bone Convolutional Networks. 692-695 - Anneke Meyer, Marko Rak, Daniel Schindele, Simon Blaschke, Martin Schostak, Andriy Fedorov, Christian Hansen:
Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI. 696-700 - Jeremy Beaumont, Hervé Saint-Jalmes, Oscar Acosta, Tobias Kober, Mark Tanner, Jean-Christophe Ferré, Olivier Salvado, Jurgen Fripp, Giulio Gambarota:
High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage. 701-704 - Jiong Wu, Yue Zhang, Xiaoying Tang:
A Multi-Atlas Guided 3D Fully Convolutional Network for MRI-Based Subcortical Segmentation. 705-708 - Dwarikanath Mahapatra, Zongyuan Ge:
Training Data Independent Image Registration with Gans Using Transfer Learning and Segmentation Information. 709-713 - Sadhana Ravikumar, Laura E. M. Wisse, Yang Gao, Guido Gerig, Paul A. Yushkevich:
Facilitating Manual Segmentation of 3D Datasets Using Contour And Intensity Guided Interpolation. 714-718 - Sang-il Ahn, Toan Duc Bui, Jitae Shin:
Compression And Intensity Modules For Brain MRI Segmentation. 719-722 - Xianli Liu, Haifeng Zhao, Shaojie Zhang, Zhenyu Tan:
Brain Image Parcellation Using Multi-Atlas Guided Adversarial Fully Convolutional Network. 723-726 - Chandan Ganesh Bangalore Yogananda, Benjamin C. Wagner, Gowtham Krishnan Murugesan, Ananth J. Madhuranthakam, Joseph A. Maldjian:
A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation. 727-731 - Ezequiel de la Rosa, Diana Maria Sima, Thijs Vande Vyvere, Jan S. Kirschke, Björn H. Menze:
A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans. 732-735 - Xu Zhang, Zhuowei Li, Pei-Jie Wang, Katelyn Y. Liao, Shen-Ju Chou, Shih-Fu Chang, Jung-Chi Liao:
One-Shot Learning for Function-Specific Region Segmentation in Mouse Brain. 736-740 - Changchun Yang, Hengrong Lan, Hongtao Zhong, Fei Gao:
Quantitative Photoacoustic Blood Oxygenation Imaging Using Deep Residual And Recurrent Neural Network. 741-744 - Md Ashikuzzaman, Clyde J. Belasso, Claudine Joëlle Gauthier, Hassan Rivaz:
Suppressing Clutter Components In Ultrasound Color Flow Imaging Using Robust Matrix Completion Algorithm: Simulation And Phantom Study. 745-749 - Barbara Santangelo, Joel T. Dunn, Katherine Beck, Colm J. McGinnity, Matteo Tonietto, Federico E. Turkheimer, Oliver D. Howes, Mattia Veronese:
Modelling Continuous Arterial Blood Data from MR-Compatible Sampler in Simultenous Pet-MRI Experiments. 750-753 - Premal A. Patel, Dimitra Flouri, Adam Rennie, Fergus Robertson, Lauren Davies, Vijeya Ganesan, Sanjay Bhate, Paolo De Coppi, Tom Vercauteren, Andrew Melbourne:
Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen Malformations. 754-758 - Sage Hahn, Christopher S. Morris, Daniel J. Bertges, Safwan Wshah:
Deep Learning for Recognition of Endoleak After Endovascular Abdominal Aortic Aneurysm Repair. 759-763 - Mingqiang Chen, Lin Fang, Huafeng Liu:
FR-NET: Focal Loss Constrained Deep Residual Networks for Segmentation of Cardiac MRI. 764-767 - Pedro Sanches, Cyril Meyer, Vincent Vigon, Benoît Naegel:
Cerebrovascular Network Segmentation of MRA Images With Deep Learning. 768-771 - Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, Elisenda Eixarch, Mario Ceresa, Miguel Ángel González Ballester:
Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery. 772-775 - Nicolas Courtial, Antoine Simon, Erwan Donal, Mathieu Lederlin, Mireille Garreau:
Cardiac Cine-MRI/CT Registration for Interventions Planning. 776-779 - Jiamin Liu, Jianhua Yao, Mohammadhadi Bagheri, Veit Sandfort, Ronald M. Summers:
A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection. 780-783 - Caizi Li, Qianqian Tong, Xiangyun Liao, Weixin Si, Shu Chen, Qiong Wang, Zhiyong Yuan:
APCP-NET: Aggregated Parallel Cross-Scale Pyramid Network for CMR Segmentation. 784-788 - Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, Quanzheng Li:
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification. 789-792 - Zhongyu Li, Yixuan Lou, Zhennan Yan, Subhi Al'Aref, James K. Min, Leon Axel, Dimitris N. Metaxas:
Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation. 793-797 - Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks. 798-801 - Gerard Snaauw, Dong Gong, Gabriel Maicas, Anton van den Hengel, Wiro J. Niessen, Johan Verjans, Gustavo Carneiro:
End-To-End Diagnosis And Segmentation Learning From Cardiac Magnetic Resonance Imaging. 802-805 - Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet:
Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. 806-809 - Shaoyang Men, Hanqiu Ju, Lijuan Zhang, Wu Zhou:
Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM. 810-813 - Hong Shang, Zhongqian Sun, Xinghui Fu, Zijian Zhang, Wei Yang:
What And How Other Datasets Can Be Leveraged For Medical Imaging Classification. 814-818 - Akila Pemasiri, David Ahmedt-Aristizabal, Kien Nguyen, Sridha Sridharan, Sasha Dionisio, Clinton Fookes:
Semantic Segmentation Of Hands In Multimodal Images: A Region New-Based CNN Approach. 819-823 - Manna E. Philip, Arcot Sowmya, Hagai Avnet, Ana Ferreira, Gordon N. Stevenson, Alec Welsh:
Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode Ultrasound. 824-828 - Paras Mehta, Veit Sandfort, Daan Gheysens, Gert-Jan Braeckevelt, Jonathan Berte, Ronald M. Summers:
Segmenting The Kidney On CT Scans Via Crowdsourcing. 829-832 - Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers:
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining. 833-836 - Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li:
Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks. 837-840 - Catarina Barata, Jorge S. Marques:
Deep Learning For Skin Cancer Diagnosis With Hierarchical Architectures. 841-845 - Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Deep Convolutional Neural Networks For Imaging Data Based Survival Analysis Of Rectal Cancer. 846-849 - Tommaso Favaron, Dean Y. Huang, Kirsten Christensen-Jeffries, Robert E. Eckersley, Paul S. Sidhu, Enrico Grisan:
Building A Reduced Dictionary Of Relevant Perfusion Patterns From Ceus Data For The Classification Of Testis Lesions. 850-854 - Islam Reda, Mohammed Ghazal, Ahmed Shalaby, Mohammed Elmogy, Ahmed Aboulfotouh, Mohamed Abou El-Ghar, Adel Elmaghraby, Robert Keynton, Ayman El-Baz:
Detecting Prostate Cancer Using A CNN-Based System Without Segmentation. 855-858 - Hao Tang, Xingwei Liu, Xiaohui Xie:
An End-to-End Framework for Integrated Pulmonary Nodule Detection and False Positive Reduction. 859-862 - Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. 863-867 - Jiahong Qian, Ming Cheng, Yubo Tao, Jun Lin, Hai Lin:
CephaNet: An Improved Faster R-CNN for Cephalometric Landmark Detection. 868-871 - Yun Chen, Junxuan Chen, Bo Xiao, Zhengfang Wu, Ying Chi, Xuansong Xie, Xian-Sheng Hua:
Volume R-CNN: Unified Framework for CT Object Detection and Instance Segmentation. 872-876 - Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. 877-881 - Samuel Botter Martins, Guilherme C. S. Ruppert, Fabiano Reis, Clarissa L. Yasuda, Alexandre X. Falcão:
A Supervoxel-Based Approach for Unsupervised Abnormal Asymmetry Detection in Mr Images of the Brain. 882-885 - Yang Xiao, Etienne Decencière, Santiago Velasco-Forero, Hélène Burdin, Thomas Bornschlögl, Françoise Bernerd, Emilie Warrick, Thérèse Baldeweck:
A New Color Augmentation Method for Deep Learning Segmentation of Histological Images. 886-890 - Shan E Ahmed Raza, Khalid AbdulJabbar, Mariam Jamal-Hanjani, Selvaraju Veeriah, John Le Quesne, Charles Swanton, Yinyin Yuan:
Deconvolving Convolutional Neural Network for Cell Detection. 891-894 - Hongming Xu, Tae-Hyun Hwang:
Statistical Local Binary Patterns (SLBP): Application To Prostate Cancer Gleason Score Prediction From whole Slide Pathology Images. 895-899 - Hui Qu, Gregory M. Riedlinger, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Subhajyoti De, Dimitris N. Metaxas:
Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images. 900-904 - Thomas Andrew Lampert, Odyssée Merveille, Jessica Schmitz, Germain Forestier, Friedrich Feuerhake, Cédric Wemmert:
Strategies for Training Stain Invariant CNNS. 905-909 - Germán Corredor, Juan D. García-Arteaga, Viviana Arias, Eduardo Romero:
Learning Basal Cell Carcinoma Patterns by Fusing Pathologists' WSI Navigations and Graph-Based Centrality Features. 910-913 - Bolei Xu, Jingxin Liu, Xianxu Hou, Bozhi Liu, Jon Garibaldi, Ian O. Ellis, Andy Green, Linlin Shen, Guoping Qiu:
Look, Investigate, and Classify: A Deep Hybrid Attention Method for Breast Cancer Classification. 914-918 - De Cai, Xianhe Sun, Niyun Zhou, Xiao Han, Jianhua Yao:
Efficient Mitosis Detection in Breast Cancer Histology Images by RCNN. 919-922 - Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden:
Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading. 923-927 - Sharib Ali, Nasullah Khalid Alham, Clare Verrill, Jens Rittscher:
Ink Removal from Histopathology Whole Slide Images by Combining Classification, Detection and Image Generation Models. 928-932 - Peter Naylor, Joseph Boyd, Marick Laé, Fabien Reyal, Thomas Walter:
Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort. 933-937 - Arnaud Abreu, Camille Franchet, François-Xavier Frenois, Pierre Brousset, Jean-Philippe Girard, Patrice Denéfle, Benoît Naegel, Cédric Wemmert:
Ensemble Of Neural Networks For High Endothelial Venules Detection In Meca-79 Immunohistochemistry Images. 938-942 - Katerina Lomanov, Jesús Martínez del Rincón, Paul Miller, Hugh Gribben:
Cell Detection With Deep Convolutional Networks Trained With Minimal Annotations. 943-947 - Andrea Chatrian, Korsuk Sirinukunwattana, Clare Verrill, Jens Rittscher:
Towards the Identification of Histology Based Subtypes in Prostate Cancer. 948-952 - M. Tarek Shaban, Christoph Baur, Nassir Navab, Shadi Albarqouni:
Staingan: Stain Style Transfer for Digital Histological Images. 953-956 - Safoora Yousefi, Yao Nie:
Transfer Learning from Nucleus Detection to Classification in Histopathology Images. 957-960 - Harshita Sharma, Richard Droste, Pierre Chatelain, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Spatio-Temporal Partitioning And Description Of Full-Length Routine Fetal Anomaly Ultrasound Scans. 987-990 - Chi-Hieu Pham, Carlos Tor-Díez, Hélène Meunier, Nathalie Bednarek, Ronan Fablet, Nicolas Passat, François Rousseau:
Simultaneous Super-Resolution and Segmentation Using a Generative Adversarial Network: Application to Neonatal Brain MRI. 991-994 - Zengsi Chen, Zhengwang Wu, Liang Sun, Fan Wang, Li Wang, Fenqiang Zhao, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance. 995-998 - Qian Zhang, Li Wang, Xiaopeng Zong, Weili Lin, Gang Li, Dinggang Shen:
Frnet: Flattened Residual Network for Infant MRI Skull Stripping. 999-1002 - Lin Zhang, Valeriy Vishnevskiy, András Jakab, Orcun Goksel:
Implicit Modeling With Uncertainty Estimation For Intravoxel Incoherent Motion Imaging. 1003-1007 - Assaf Arbelle, Tammy Riklin Raviv:
Microscopy Cell Segmentation Via Convolutional LSTM Networks. 1008-1012 - Anais Badoual, Aymeric Galan, Daniel Sage, Michael Unser:
Deforming Tessellations For The Segmentation Of Cell Aggregates. 1013-1017 - Savinien Bonheur, Ahmed Karam Eldaly, Jody Westerfeld, David Wilson, Kevin Dhaliwal, Steve McLaughlin, Antonios Perperidis:
Segmentation And Quantification Of Cellular Load In Pulmonary Endomicroscopic Images Using Convolutional Neural Networks. 1018-1022 - Pol del Aguila Pla, Vidit Saxena, Joakim Jaldén:
Spotnet-Learned Iterations For Cell Detection In Image-Based Immunoassays. 1023-1027 - Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Context-Refined Neural Cell Instance Segmentation. 1028-1032 - Raphaël Couronné, Marie Vidailhet, Jean-Christophe Corvol, Stéphane Lehéricy, Stanley Durrleman:
Learning Disease Progression Models With Longitudinal Data and Missing Values. 1033-1037 - Antoine Legouhy, Olivier Commowick, François Rousseau, Christian Barillot:
Unbiased Longitudinal Brain Atlas Creation Using Robust Linear Registration And Log-Euclidean Framework For Diffeomorphisms. 1038-1041 - Viktor Wegmayr, Maurice Hörold, Joachim M. Buhmann:
Generative Aging Of Brain MRI For Early Prediction Of MCI-AD Conversion. 1042-1046 - Dan Jin, Jian Xu, Kun Zhao, Fangzhou Hu, Zhengyi Yang, Bing Liu, Tianzi Jiang, Yong Liu:
Attention-based 3D Convolutional Network for Alzheimer's Disease Diagnosis and Biomarkers Exploration. 1047-1051 - Guannan Li, Meng-Hsiang Chen, Gang Li, Di Wu, Quan-Sen Sun, Dinggang Shen, Li Wang:
A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy. 1052-1056 - Gabriel Maicas, Gerard Snaauw, Andrew P. Bradley, Ian D. Reid, Gustavo Carneiro:
Model Agnostic Saliency For Weakly Supervised Lesion Detection From Breast DCE-MRI. 1057-1060 - María V. Sainz de Cea, Robert M. Nishikawa, Yongyi Yang:
Limiting Level of False-Positive Detections in Classification of Microcalcification Clusters in Mammograms. 1061-1064 - Yaniv Shachor, Hayit Greenspan, Jacob Goldberger:
A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications. 1065-1069 - Ruben Sánchez de la Rosa, Ann-Katherine Carton, Pablo Milioni de Carvalho, Isabelle Bloch, Serge Muller:
Analysis of Cedbt and CESM Performance Using a Realistic X-Ray Simulation Platform. 1070-1073 - Sílvia Bessa, Pedro H. Carvalho, Hélder P. Oliveira:
Registration of Breast MRI and 3D Scan Data Based on Surface Matching. 1074-1077 - Hang Li, Jie-Zhi Cheng, Yi-Hong Chou, Jing Qin, Shan Huang, Baiying Lei:
AttentionNet: Learning Where to Focus via Attention Mechanism for Anatomical Segmentation of Whole Breast Ultrasound Images. 1078-1081 - Wilson Silva, Eduardo Castro, Maria João Cardoso, Florian Fitzal, Jaime S. Cardoso:
Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes. 1082-1086 - Mickael Tardy, Bruno Scheffer, Diana Mateus:
Breast Density Quantification Using Weakly Annotated Dataset. 1087-1091 - Francisco Perdigón Romero, An Tang, Samuel Kadoury:
Multi-Level Batch Normalization in Deep Networks for Invasive Ductal Carcinoma Cell Discrimination in Histopathology Images. 1092-1095 - Yunhao Ge, Dongming Wei, Zhong Xue, Qian Wang, Xiang Zhou, Yiqiang Zhan, Shu Liao:
Unpaired Mr to CT Synthesis with Explicit Structural Constrained Adversarial Learning. 1096-1099 - Lei Bi, Dagan Feng, Michael J. Fulham, Jinman Kim:
Improving Skin Lesion Segmentation via Stacked Adversarial Learning. 1100-1103 - David Abramian, Anders Eklund:
Refacing: Reconstructing Anonymized Facial Features Using GANS. 1104-1108 - Axel Largent, Jean-Claude Nunes, Hervé Saint-Jalmes, John S. H. Baxter, Peter B. Greer, Jason Dowling, Renaud de Crevoisier, Oscar Acosta:
Pseudo-CT Generation for Mri-only Radiotherapy: Comparative Study Between A Generative Adversarial Network, A U-Net Network, A Patch-Based, and an Atlas Based Methods. 1109-1113 - Vishwa S. Parekh, Michael A. Jacobs:
Radiomic Synthesis Using Deep Convolutional Neural Networks. 1114-1117 - Sobhan Goudarzi, Amir Asif, Hassan Rivaz:
Multi-Focus Ultrasound Imaging Using Generative Adversarial Networks. 1118-1121 - Hongxu Yang, Caifeng Shan, Alexander F. Kolen, Peter H. N. de With:
Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused Fcn. 1122-1126 - Joost van der Putten, Rogier R. Wildeboer, Jeroen de Groof, Ruud van Sloun, Maarten R. Struyvenberg, Fons van der Sommen, Svitlana Zinger, Wouter L. Curvers, Erik J. Schoon, Jacques J. Bergman, Peter H. N. de With:
Deep Learning Biopsy Marking of Early Neoplasia in Barrett's Esophagus by Combining WLE and BLI Modalities. 1127-1131 - Wei Wei, Haishan Xu, Julian Alpers, Zhang Tianbao, Lei Wang, Marko Rak, Christian Hansen:
Fast Registration for Liver Motion Compensation in Ultrasound-Guided Navigation. 1132-1136 - Muhammad Zubair, Robert J. Dickinson:
Simulation of a Modified Multielement Random Phased Array for Image Guidance and Therapy. 1137-1140 - Yujie Chi, Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant:
A Deep-Learning-Based Method for the Localization of Cochlear Implant Electrodes in CT Images. 1141-1145 - Yoko Kurabuchi, Kazuya Nakano, Takashi Ohnishi, Toshiya Nakaguchi, Hideaki Haneishi:
Surgical Illuminant Design for Enhancement of Organ Microstructure. 1146-1149 - Felicia Alfano, Juan Enrique Ortuño Fisac, Mónica García-Sevilla, Mercedes Herrero Conde, Oscar Bueno Zamora, Serafín Lizarraga, Andrés Santos, Javier Pascau, María-Jesus Ledesma-Carbayo:
Prone to Supine Surface Based Registration Workflow for Breast Tumor Localization in Surgical Planning. 1150-1153 - Cristina Oyarzun Laura, Patrick Hofmann, Klaus Drechsler, Stefan Wesarg:
Automatic Detection of the Nasal Cavities and Paranasal Sinuses Using Deep Neural Networks. 1154-1157 - Eric Wu, Bin Kong, Xin Wang, Junjie Bai, Yi Lu, Feng Gao, Shaoting Zhang, Kunlin Cao, Qi Song, Siwei Lyu, Youbing Yin:
Residual Attention Based Network for Hand Bone Age Assessment. 1158-1161 - Christine Bakhous, Carlos Vázquez, Thierry Cresson, Stefan Parent, Jacques A. de Guise:
A Fully Automatic 3D Reconstruction of Scoliotic Spine from Biplanar Radiographs in a Suspension Framework. 1162-1165 - Duc Duy Pham, Gurbandurdy Dovletov, Sebastian Warwas, Stefan Landgräber, Marcus Jäger, Josef Pauli:
Deep Learning With Anatomical Priors: Imitating Enhanced Autoencoders In Latent Space For Improved Pelvic Bone Segmentation In MRI. 1166-1169 - Suzanne Bussod, Juan Felipe Pérez-Juste Abascal, Nicolas Ducros, Cécile Olivier, Salim Si-Mohamed, Philippe Douek, Christine Chappard, Françoise Peyrin:
Human Knee Phantom for Spectral CT: Validation of a Material Decomposition Algorithm. 1170-1173 - Roseline Olory Agomma, Carlos Vázquez, Thierry Cresson, Jacques A. de Guise:
Detection And Identification Of Lower-Limb Bones In Biplanar X-RAY Images With Arbitrary Field Of View And Various Patient Orientations. 1174-1177 - Tom van Sonsbeek, Pardiss Danaei, Delaram Behnami, Mohammad Hossein Jafari, Parisa Asgharzadeh, Robert Rohling, Purang Abolmaesumi:
End-To-End Vertebra Localization and Level Detection in Weakly Labelled 3D Spinal Mr using Cascaded Neural Networks. 1178-1182 - Yafei Ou, Prasoon Ambalathankandy, Takeshi Shimada, Tamotsu Kamishima, Masayuki Ikebe:
Automatic Radiographic Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis Using POC. 1183-1187 - Yungeng Zhang, Yuru Pei, Haifang Qin, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Masseter Muscle Segmentation from Cone-Beam CT Images using Generative Adversarial Network. 1188-1192 - Awais Mansoor, Antonio R. Porras, Marius George Linguraru:
Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection. 1193-1196 - Christoph Haarburger, Philippe Weitz, Oliver Rippel, Dorit Merhof:
Image-Based Survival Prediction for Lung Cancer Patients Using CNNS. 1197-1201 - Patrick Sousa, Adrian Galdran, Pedro Costa, Aurélio Campilho:
Learning to Segment the Lung Volume from CT Scans Based on Semi-Automatic Ground-Truth. 1202-1206 - Sarah E. Gerard, Joseph M. Reinhardt:
Pulmonary Lobe Segmentation Using A Sequence of Convolutional Neural Networks For Marginal Learning. 1207-1211 - Yu Gan, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, Christine P. Hendon, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. 1212-1215 - Ilyas Sirazitdinov, Maksym Kholiavchenko, Ramil Kuleev, Bulat Ibragimov:
Data Augmentation for Chest Pathologies Classification. 1216-1219 - Wiem Safta, Mohammad Mehdi Farhangi, Benjamin Veasey, Amir A. Amini, Hichem Frigui:
Multiple Instance Learning for Malignant vs. Benign Classification of Lung Nodules in Thoracic Screening Ct Data. 1220-1224 - Hao Tang, Chupeng Zhang, Xiaohui Xie:
Automatic Pulmonary Lobe Segmentation Using Deep Learning. 1225-1228 - Diego de los Ojos Araúzo, Pietro Nardelli, Raúl San José Estépar:
Regression of The Navier-Stokes Equation Solutions For Pulmonary Airway Flow Using Neural Networks. 1229-1233 - Zhanyu Wang, Zhe Wang, Guoxiang Qu, Fei Li, Ye Yuan, Dennis S. C. Lam, Xiulan Zhang, Yue Zhang, Yu Qiao:
Intelligent Glaucoma Diagnosis Via Active Learning And Adversarial Data Augmentation. 1234-1237 - Wenming Yang, Yaxing Cao, Qian Zhao, Yong Ren, Qingmin Liao:
Lesion Classification of Wireless Capsule Endoscopy Images. 1238-1242 - Francisco Perdigón Romero, Andre Diler, Gabriel Bisson-Gregoire, Simon Turcotte, Real Lapointe, Franck Vandenbroucke-Menu, An Tang, Samuel Kadoury:
End-To-End Discriminative Deep Network For Liver Lesion Classification. 1243-1246 - Hao-Yu Yang, Lawrence H. Staib:
Dual Adversarial Autoencoder for Dermoscopic image Generative Modeling. 1247-1250 - Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding:
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. 1251-1255 - Pim Jan Christiaan Weijtmans, Caifeng Shan, Tao Tan, Susan G. Brouwer de Koning, Theodoor Jacques Marie Ruers:
A Dual Stream Network for Tumor Detection in Hyperspectral Images. 1256-1259 - Mazhar Shaikh, Varghese Alex Kollerathu, Ganapathy Krishnamurthi:
Recurrent Attention Mechanism Networks for Enhanced Classification of Biomedical Images. 1260-1264 - Dongren Yao, Hailun Sun, Xiaojie Guo, Vince D. Calhoun, Li Sun, Jing Sui:
ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. 1265-1269 - Zachary A. Daniels, Dimitris N. Metaxas:
Exploiting Visual and Report-Based Information for Chest X-RAY Analysis by Jointly Learning Visual Classifiers and Topic Models. 1270-1274 - William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Lyle J. Palmer, Andrew P. Bradley:
Producing Radiologist-Quality Reports for Interpretable Deep Learning. 1275-1279 - Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. 1280-1283 - Daniel S. Ferreira, Geraldo Luis Bezerra Ramalho, Fátima N. S. de Medeiros, Andrea G. C. Bianchi, Cláudia M. Carneiro, Daniela Mayumi Ushizima:
Saliency-Driven System With Deep Learning for Cell Image Classification. 1284-1287 - Zhi-Cheng Li, Guangyu Wu, Jinheng Zhang, Zhongqiu Wang, Guiqin Liu, Dong Liang:
Towards an Interpretable Radiomics Model for Classifying Renal Cell Carcinomas Subtypes: A Radiogenomics Assessment. 1288-1292 - Ahmed Shaffie, Ahmed Soliman, Hadil Abu Khalifeh, Mohammed Ghazal, Fatma Taher, Adel Elmaghraby, Robert Keynton, Ayman El-Baz:
Radiomic-Based Framework for Early Diagnosis of Lung Cancer. 1293-1297 - Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Horst-Michael Groß:
Deep Metamemory - A Generic Framework for Stabilized One-Shot Confidence Estimation in Deep Neural Networks and its Application on Colorectal Cancer Liver Metastases Growth Prediction. 1298-1302 - Hangfan Liu, Hongming Li, Pamela Boimel, James Janopaul-Naylor, Haoyu Zhong, Ying Xiao, Edgar Ben-Josef, Yong Fan:
Collaborative Clustering Of Subjects And Radiomic Features For Predicting Clinical Outcomes Of Rectal Cancer Patients. 1303-1306 - Elijah Bolluyt, Alexandra Comaniciu, Bogdan Georgescu:
Tumor Burden Assessment In Lymphoma Patients: Hierarchical Analysis Of Whole Body CT. 1307-1310 - Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li:
Novel Radiomic Features Based on Graph Theory for PET Image Analysis. 1311-1314 - Shiv Gehlot, Akanksha Farswan, Anubha Gupta, Ritu Gupta:
CT-NNBI: Method to Impute Gene Expression Data using DCT Based Sparsity and Nuclear Norm Constraint with Split Bregman Iteration. 1315-1318 - Jose M. Castillo T, Martijn P. A. Starmans, Wiro J. Niessen, Ivo Schoots, Stefan Klein, Jifke F. Veenland:
Classification Of Prostate Cancer: High Grade Versus Low Grade Using A Radiomics Approach. 1319-1322 - Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis In CT Images. 1348-1352 - Wenjia Wang, Junxuan Chen, Jie Zhao, Ying Chi, Xuansong Xie, Li Zhang, Xian-Sheng Hua:
Automated Segmentation Of Pulmonary Lobes Using Coordination-Guided Deep Neural Networks. 1353-1357 - Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. 1358-1361 - Ivo M. Baltruschat, Leonhard Steinmeister, Harald Ittrich, Gerhard Adam, Hannes Nickisch, Axel Saalbach, Jens von Berg, Michael Grass, Tobias Knopp:
When Does Bone Suppression And Lung Field Segmentation Improve Chest X-Ray Disease Classification? 1362-1366 - Pablo Alvarez, Saramati Narasimhan, Simon Rouzé, Jean-Louis Dillenseger, Yohan Payan, Michael I. Miga, Matthieu Chabanas:
Biphasic Model Of Lung Deformations For Video-Assisted Thoracoscopic Surgery (VATS). 1367-1371 - Uddeshya Upadhyay, Suyash P. Awate:
Robust Super-Resolution Gan, with Manifold-Based and Perception Loss. 1372-1376 - Arne Bechensteen, Laure Blanc-Féraud, Gilles Aubert:
New Methods for l2-l0 Minimization and their Applications to 2D Single-Molecule Localization Microscopy. 1377-1381 - Christian Jaques, Linda Bapst-Wicht, Daniel F. Schorderet, Michael Liebling:
Multi-Spectral Widefield Microscopy of the Beating Heart Through Post-Acquisition Synchronization and Unmixing. 1382-1385 - Rémy Dubois, Arthur Imbert, Aubin Samacoïts, Marion Peter, Edouard Bertrand, Florian Müller, Thomas Walter:
A Deep Learning Approach To Identify MRNA Localization Patterns. 1386-1390 - Francis Tom, Himanshu Sharma, Dheeraj Mundhra, Tathagato Rai Dastidar, Debdoot Sheet:
Learning A Deep Convolution Network with Turing Test Adversaries for Microscopy Image Super Resolution. 1391-1394 - Aniket Pramanik, Hemant Kumar Aggarwal, Mathews Jacob:
Off-The-Grid Model Based Deep Learning (O-Modl). 1395-1398 - Kasper Marstal, Floris F. Berendsen, Niels Dekker, Marius Staring, Stefan Klein:
The Continuous Registration Challenge: Evaluation-as-a-Service for Medical Image Registration Algorithms. 1399-1402 - Nicolas Guigui, Cathy Philippe, Arnaud Gloaguen, Slim Karkar, Vincent Guillemot, Tommy Löfstedt, Vincent Frouin:
Network Regularization in Imaging Genetics Improves Prediction Performances and Model Interpretability on Alzheimer's Disease. 1403-1406 - Yujiao Tang, Feng Yang, Shaofeng Yuan, Chang'an A. Zhan:
A Multi-Stage Framework With Context Information Fusion Structure For Skin Lesion Segmentation. 1407-1410 - Ryo Kikkawa, Hiroyuki Sekiguchi, Itaru Tsuge, Susumu Saito, Ryoma Bise:
Semi-Supervised Learning With Structured Knowledge For Body Hair Detection In Photoacoustic Image. 1411-1415 - Charlems Álvarez Jimenez, Germán Corredor, Diana Giraldo, Eduardo Romero:
Tele-Pathology: A Use Case In Colombia. 1417-1421 - Jun Cheng, Yitian Zhao, Yan Hu, Jiang Liu:
Pixel Reconstruction For Speckle Reduction In 3D Optical Coherence Tomography Of Retina. 1424-1427 - Julie Rivet, Guillaume Tochon, Serge Meimon, Michel Pâques, Thierry Géraud, Michael Atlan:
Motion Compensation In Digital Holography For Retinal Imaging. 1428-1431 - Tejas Sudharshan Mathai, Kira L. Lathrop, John M. Galeotti:
Learning To Segment Corneal Tissue Interfaces In Oct Images. 1432-1436 - Timo Kepp, Jan Ehrhardt, Mattias P. Heinrich, Gereon Hüttmann, Heinz Handels:
Topology-Preserving Shape-Based Regression Of Retinal Layers In Oct Image Data Using Convolutional Neural Networks. 1437-1440 - José Ignacio Orlando, Philipp Seeböck, Hrvoje Bogunovic, Sophie Klimscha, Christoph Grechenig, Sebastian M. Waldstein, Bianca S. Gerendas, Ursula Schmidt-Erfurth:
U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans. 1441-1445 - Peng Bao, Wenjun Xia, Kang Yang, Jiliu Zhou, Yi Zhang:
Sparse-View Ct Reconstruction Via Convolutional Sparse Coding. 1446-1449 - Maissa Sghaier, Emilie Chouzenoux, Giovanni Palma, Jean-Christophe Pesquet, Serge Muller:
A New Approach For Microcalcification Enhancement In Digital Breast Tomosynthesis Reconstruction. 1450-1454 - Kai Zhang, Alireza Entezari:
A Convolutional Framework for Forward and Back-Projection in Fan-Beam Geometry. 1455-1458 - Wenjun Xia, Weiwen Wu, Fenglin Liu, Hengyong Yu, Jiliu Zhou, Ge Wang, Yi Zhang:
Spectral Ct Reconstruction Via Self-Similarity In Image-Spectral Tensors. 1459-1462 - Di He, Ming Jiang, Alfred K. Louis, Peter Maass, Thomas Page:
Joint Bi-Modal Image Reconstruction Of Dot And Xct With An Extended Mumford-Shah Functional. 1463-1466 - Jianzhong He, Yuanjing Feng, Mao Li:
Asymmetric Fiber Trajectory Distribution Estimated Using Streamline Differential Equation. 1467-1470 - Maryam Afzali, Chantal M. W. Tax, Cyrano Chatziantoniou, Derek K. Jones:
Comparison of Different Tensor Encoding Combinations in Microstructural Parameter Estimation. 1471-1474 - Mohammad Khatami, Regina Wehler, Thomas Schultz:
Cobundlemap: Consistent 2D Parameterization of Fiber Bundles Across Subjects and Hemispheres. 1475-1478 - Felipe Silva, Miguel Guevara, Cyril Poupon, Jean-François Mangin, Cecilia Hernández, Pamela Guevara:
Cortical Surface Parcellation Based on Graph Representation of Short Fiber Bundle Connections. 1479-1482 - S. Balqis Samdin, Chee-Ming Ting, Hernando C. Ombao:
Detecting State Changes in Community Structure of Functional Brain Networks Using a Markov-Switching Stochastic Block Model. 1483-1487 - James Fishbaugh, Guido Gerig:
Acceleration Controlled Diffeomorphisms For Nonparametric Image Regression. 1488-1491 - Alexandre Cunha:
Gems - Geometric Median Shapes. 1492-1496 - Carlos Sosa Marrero, Oscar Acosta, Miguel Castro, Alfredo I. Hernández, Nathalie Rioux-Leclercq, François Paris, Renaud de Crevoisier:
Sensitivity Analysis Of An In Silico Model Of Tumor Growth And Radiation Response. 1497-1500 - Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, Yaozong Gao, Dinggang Shen:
Hierarchical Representation For Ct Prostate Segmentation. 1501-1504 - Tingting Chen, Xinjun Ma, Xingde Ying, Wenzhe Wang, Chunnv Yuan, Weiguo Lu, Danny Z. Chen, Jian Wu:
Multi-Modal Fusion Learning For Cervical Dysplasia Diagnosis. 1505-1509 - Cefa Karabag, Martin L. Jones, Christopher J. Peddie, Anne E. Weston, Lucy M. Collinson, Constantino Carlos Reyes-Aldasoro:
Segmentation And Modelling of Helanuclear Envelope. 1510-1513 - Jie Zhao, Quanzheng Li, Xiang Li, Hongfeng Li, Li Zhang:
Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model. 1514-1518 - Joris Roels, Julian Hennies, Yvan Saeys, Wilfried Philips, Anna Kreshuk:
Domain Adaptive Segmentation In Volume Electron Microscopy Imaging. 1519-1522 - Ihor Smal, Yao Yao, Niels Galjart, Erik Meijering:
Facilitating Data Association In Particle Tracking Using Autoencoding And Score Matching. 1523-1526 - Tzu-Hsi Song, Gabriel Landini, Shereen Fouad, Hisham Mehanna:
Epithelial Segmentation From In Situ Hybridisation Histological Samples Using A Deep Central Attention Learning Approach. 1527-1531 - Loubna El Gueddari, Philippe Ciuciu, Emilie Chouzenoux, Alexandre Vignaud, Jean-Christophe Pesquet:
Calibrationless Oscar-Based Image Reconstruction in Compressed Sensing Parallel MRI. 1532-1536 - Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. 1537-1540 - Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
Multi-Shot Sensitivity-Encoded Diffusion MRI Using Model-Based Deep Learning (Modl-Mussels). 1541-1544 - Thomas William Arthur Bolton, Younes Farouj, Mert Inan, Dimitri Van De Ville:
Structurally-Informed Deconvolution of Functional Magnetic Resonance Imaging Data. 1545-1549 - Karim Armanious, Sergios Gatidis, Konstantin Nikolaou, Bin Yang, Thomas Kustner:
Retrospective Correction Of Rigid And Non-Rigid MR Motion Artifacts Using Gans. 1550-1554 - Fanglin Huang, Ahmed El-Azab, Le Ou-Yang, Joseph Tan, Tianfu Wang, Baiying Lei:
Sparse Low-rank Constrained Adaptive Structure Learning using Multi-template for Autism Spectrum Disorder Diagnosis. 1555-1558 - Evan M. Yu, Mert R. Sabuncu:
A Convolutional Autoencoder Approach To Learn Volumetric Shape Representations For Brain Structures. 1559-1562 - Eytan Kats, Jacob Goldberger, Hayit Greenspan:
Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation. 1563-1566 - Amir Bar, Michal Mauda Havakuk, Yoni Turner, Michal Safadi, Eldad Elnekave:
Improved ICH Classification Using Task-Dependent Learning. 1567-1571 - Verónica Muñoz Ramírez, Florence Forbes, Julyan Arbel, Alexis Arnaud, Michel Dojat:
Quantitative Mri Characterization of Brain Abnormalities in DE NOVO Parkinsonian Patients. 1572-1575 - Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu:
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. 1576-1580 - Kevin P. Nguyen, Cherise Chin Fatt, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo:
Sensitivity of Derived Clinical Biomarkers to rs-fMRI Preprocessing Software Versions. 1581-1584 - Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu:
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. 1585-1589 - Lin Zhao, Huan Liu, Xi Jiang, Shijie Zhao, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
A Task Performance-guided Model of Functional Networks Identification. 1590-1593 - Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, Lei Guo, Tianming Liu:
A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI. 1594-1597 - Xin Zhao, Feng Zhou, Le Ou-Yang, Tianfu Wang, Baiying Lei:
Graph Convolutional Network Analysis for Mild Cognitive Impairment Prediction. 1598-1601 - Debbrata K. Saha, Anees Abrol, Eswar Damaraju, Barnaly Rashid, Sergey M. Plis, Vince D. Calhoun:
Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI Data. 1602-1605 - Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, José L. Marroquín, Mario Ocampo-Pineda, Alessandro Daducci:
Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed Tractography. 1606-1609 - Konstantinos Diamantis, Paul A. Dalgarno, Tom Anderson, Jørgen Arendt Jensen, Vassilis Sboros:
A comparison between image and signal sharpness-based axial localization of ultrasound scatterers. 1610-1613 - Nantheera Anantrasirichai, Marco Allinovi, Wesley Hayes, David R. Bull, Alin Achim:
Regularisation With a Dictionary of Lines for Medical Ultrasound Image Deconvolution. 1614-1617 - Jinmin Xu, Huafeng Liu:
Hybrid-Loss Guided 3D CNN For Dynamic Dual-Tracer PET Reconstruction. 1618-1621 - Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris N. Metaxas:
MRI Reconstruction Via Cascaded Channel-Wise Attention Network. 1622-1626 - Paola Causin, Giovanni Naldi, Rada-Maria Weishaeupl:
Elastic Net Regularization in Diffuse Optical Tomography Applications. 1627-1630 - Weifang Wang, Jiwen Dong, Sijie Niu, Yuehui Chen:
Edge-Guided Semi-Coupled Dictionary Learning Super Resolution for Retina Image. 1631-1634 - Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising. 1635-1638 - Marco Pizzolato, Rachid Deriche, Erick Jorge Canales-Rodríguez, Jean-Philippe Thiran:
Spatially Varying Monte Carlo Sure for the Regularization of Biomedical Images. 1639-1642 - Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
3D High-Resolution Cardiac Segmentation Reconstruction From 2D Views Using Conditional Variational Autoencoders. 1643-1646 - Pranjal Sahu, Hailiang Huang, Wei Zhao, Hong Qin:
Using Virtual Digital Breast Tomosynthesis for De-Noising of Low-Dose Projection Images. 1647-1651 - Abib Alimi, Samuel Deslauriers-Gauthier, Felix Matuschke, Daniel Schmitz, Markus Axer, Rachid Deriche:
Analytical Fiber ODF Reconstruction in 3D Polarized Light Imaging: Performance Assessment. 1652-1655 - Haifeng Wang, Zhilang Qiu, Shi Su, Leslie Ying, Dong Liang:
Fast Calculation Method of Average G-Factor for Wave-CAIPI Imaging. 1656-1659 - Yanqin Kang, Jin Liu, Yunbo Gu, Yang Chen:
Sparse Tensor Constrained for Low Dose CT Reconstruction. 1660-1663 - Zhiping Qu, Min Jiang, Yi Sun:
Sparse-View CT Reconstruction Based on Mojette Transfrom Using Convolutional Neural Network. 1664-1668 - Jin Zhu, Guang Yang, Pietro Liò:
How Can We Make Gan Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach. 1669-1673 - Andrawes Al Bahou, Christine Tanner, Orcun Goksel:
Scatgan for Reconstruction of Ultrasound Scatterers Using Generative Adversarial Networks. 1674-1677 - Wei Zeng, Jie Peng, Shanshan Wang, Zhicheng Li, Qiegen Liu, Dong Liang:
A Comparative Study of CNN-Based Super-Resolution Methods in MRI Reconstruction. 1678-1682 - Shahed K. Mohammed, Mohammad Honarvar, Piotr Kozlowski, Septimiu E. Salcudean:
2D Elasticity Reconstruction With Bi-Convex Alternating Direction Method of Multipliers. 1683-1687 - Rewa Sood, Mirabela Rusu:
Anisotropic Super Resolution In Prostate Mri Using Super Resolution Generative Adversarial Networks. 1688-1691 - Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya:
Accelerated Coronary Mri Using 3D Spirit-Raki With Sparsity Regularization. 1692-1695 - Haykel Snoussi, Emmanuel Caruyer, Julien Cohen-Adad, Olivier Commowick, Benoît Combès, Elise Bannier, Anne Kerbrat, Christian Barillot:
Geometric Evaluation of Distortion Correction Methods in Diffusion MRI of the Spinal Cord. 1696-1699 - Kang Yang, Wenjun Xia, Peng Bao, Jiliu Zhou, Yi Zhang:
Nonlocal Weighted Nuclear Norm Minimization based Sparse-Sampling CT Image Reconstruction. 1700-1703 - Haifeng Wang, Lixian Zou, Huihui Ye, Shi Su, Yuchou Chang, Xin Liu, Dong Liang:
Application of Time-Fractional Order Bloch Equation in Magnetic Resonance Fingerprinting. 1704-1707 - Edouard Villain, Herwig Wendt, Adrian Basarab, Denis Kouamé:
On Multifractal Tissue Characterization in Ultrasound Imaging. 1708-1712 - Evangelos Kanoulas, Mairead B. Butler, Colin W. Duncan, Weiping Lu, Vassilis Sboros:
Realistic Super-Resolution Image Analysis for State of the Art 2D Contrast Enhanced Ultrasound Imaging. 1713-1716 - Pooneh R. Tabrizi, Awais Mansoor, Juan J. Cerrolaza, Jonathan Zember, Hans G. Pohl, James Jago, Marius George Linguraru:
Automatic Segmentation of The Renal Collecting System in 3D Pediatric Ultrasound to Assess the Severity of Hydronephrosis. 1717-1720 - Swapnil Dolui, Mawia Khairalseed, Laura K. Rivera Tarazona, Taylor H. Ware, Kenneth Hoyt:
Two-dimensional temperature imaging using diagnostic ultrasound- Preliminary studies using phantom materials. 1721-1724 - Morteza Mirzaei, Amir Asif, Hassan Rivaz:
Ultrasound Elastography Utilizing Pre-Beam-Formed Data. 1725-1728 - Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model For Fast Segmentation of Anatomical Structures in Ultrasound Volumes. 1729-1732 - Oumaima El Mansouri, Adrian Basarab, Fabien Vidal, Denis Kouamé, Jean-Yves Tourneret:
Fusion Of Magnetic Resonance And Ultrasound Images: A Preliminary Study On Simulated Data. 1733-1736 - Ipek Oezdemir, Collette Shaw, John R. Eisenbrey, Kenneth Hoyt:
Improved quantitative contrast-enhanced ultrasound imaging of hepatocellular carcinoma response to transarterial chemoembolization. 1737-1740 - Shi Yin, Zhengqiang Zhang, Hongming Li, Qinmu Peng, Xinge You, Susan L. Furth, Gregory E. Tasian, Yong Fan:
Fully-Automatic Segmentation Of Kidneys In Clinical Ultrasound Images Using A Boundary Distance Regression Network. 1741-1744 - Amol G. Mahurkar, Praveen Kumar Pokala, Chandra Sekhar Seelamantula:
Iteratively-Reweighted Beamforming For High-Resolution Ultrasound Imaging. 1745-1748 - Zara Vajihi, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
L1 And L2 Norm Depth-Regularized Estimation Of The Acoustic Attenuation And Backscatter Coefficients Using Dynamic Programming. 1749-1752 - Hongjian Wang, Thai Hoa Huynh, Hartmut Gemmeke, Torsten Hopp, Jürgen Hesser:
GPU Acceleration of Wave Based Transmission Tomography. 1753-1756 - Alvaro Gomariz, Weiye Li, Ece Ozkan, Christine Tanner, Orcun Goksel:
Siamese Networks With Location Prior for Landmark Tracking in Liver Ultrasound Sequences. 1757-1760 - Arijit Patra, J. Alison Noble:
Multi-anatomy localization in fetal echocardiography videos. 1761-1764 - Oleg V. Michailovich, Adrian Basarab, Denis Kouame:
Iterative Reconstruction of Medical Ultrasound Images Using Spectrally Constrained Phase Updates. 1765-1768 - Alessandro Bevilacqua, Margherita Mottola:
Colormaps Of Computed Tomography Liver Perfusion Parameters Achieved Using Different Computing Methods Match. 1769-1773 - Shih-Gu Huang, Andrey Gritsenko, Martin A. Lindquist, Moo K. Chung:
Circular Pearson Correlation Using Cosine Series Expansion. 1774-1777 - Marco Lai, Caifeng Shan, Calina Ciuhu-Pijlman, Maria-Louisa Izamis:
Perfusion Monitoring by Contactless Photoplethy Smography Imaging. 1778-1782 - Peiye Zhuang, Alexander G. Schwing, Oluwasanmi Koyejo:
FMRI Data Augmentation Via Synthesis. 1783-1787 - Liting Wang, Xintao Hu, Huan Liu, Heng Huang, Lei Guo, Tianming Liu:
Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder. 1788-1791 - Younes Farouj, Fikret Isik Karahanoglu, Dimitri Van De Ville:
Bold Signal Deconvolution Under Uncertain HÆModynamics: A Semi-Blind Approach. 1792-1796 - Abubakar Yamin, Michael Dayan, Letizia Squarcina, Paolo Brambilla, Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona:
Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study. 1797-1800 - Augustin C. Ogier, Stanislas Rapacchi, Arnaud Le Troter, Marc-Emmanuel Bellemare:
3D Dynamic MRI for Pelvis Observation - a First Step. 1801-1804 - Ashkan Faghiri, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun:
Using Gradient as a New Metric for Dynamic Connectivity Estimation from Resting fMRI Data. 1805-1808 - Adam Huang, Chung-Wei Lee, Hon-Man Liu:
Curve Fitting Criteria to Determine Arterial Input Function for MR Perfusion Analysis. 1809-1812 - Thomas Yu, Marco Pizzolato, Erick Jorge Canales-Rodríguez, Jean-Philippe Thiran:
Robust T2 Relaxometry With Hamiltonian MCMC for Myelin Water Fraction Estimation. 1813-1817 - Lucia Romani, Anaïs Badoual, Michael Unser:
Normal-Based Interpolating Subdivision for the Geometric Representation of Deformable Models. 1839-1843 - Kai Zhang, Alireza Entezari:
Box Spline Projection in Non-Parallel Geometry. 1844-1847 - Yoshinori Kabeya, Toshiya Iwamori, Sho Yonezawa, Yusuke Takeuchi, Hiroki Nakano, Yuhe Nagisa, Mariko Okubo, Michio Inoue, Reitaro Tokumasu, Issei Ozawa, Atsushi Takano, Ichizo Nishino:
Physician-Level Aggregated Classifier for Genetic Muscle Disorders. 1850-1854 - Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Weidong Cai:
Mask-Driven Mitosis Detection In Histopathology Images. 1855-1859 - Alfonso Medela, Artzai Picón, Cristina López Saratxaga, Oihana Belar, Virginia Cabezón, Riccardo Cicchi, Roberto Bilbao, Ben Glover:
Few Shot Learning in Histopathological Images: Reducing the Need of Labeled Data on Biological Datasets. 1860-1864 - Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas:
Deep Attentive Feature Learning for Histopathology Image Classification. 1865-1868 - Adrien Foucart, Olivier Debeir, Christine Decaestecker:
SNOW: Semi-Supervised, Noisy And/Or Weak Data For Deep Learning In Digital Pathology. 1869-1872 - Arko Barman, Mehmet Enes Inam, Songmi Lee, Sean I. Savitz, Sunil Sheth, Luca Giancardo:
Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks. 1873-1877 - Chuanlu Lin, Yi Wang, Tianfu Wang, Dong Ni:
Segmentation and Recovery of Pathological MR Brain Images Using Transformed Low-Rank and Structured Sparse Decomposition. 1878-1881 - Fenqiang Zhao, Shunren Xia, Zhengwang Wu, Li Wang, Zengsi Chen, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li:
Spherical U-Net For Infant Cortical Surface Parcellation. 1882-1886 - Yann Le Guen, Slim Karkar, Antoine Grigis, Cathy Philippe, Jean-François Mangin, Vincent Frouin:
Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset. 1887-1890 - Cooper Mellema, Alex Treacher, Kevin P. Nguyen, Albert Montillo:
Multiple Deep Learning Architectures Achieve Superior Performance Diagnosing Autism Spectrum Disorder Using Features Previously Extracted From Structural And Functional Mri. 1891-1895 - Anees Kazi, S. Arvind Krishna, Shayan Shekarforoush, Karsten U. Kortuem, Shadi Albarqouni, Nassir Navab:
Self-Attention Equipped Graph Convolutions for Disease Prediction. 1896-1899 - Ruiming Cao, Xinran Zhong, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung:
Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. 1900-1904 - Ran Bakalo, Rami Ben-Ari, Jacob Goldberger:
Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net. 1905-1909 - Philippe Burlina, Neil J. Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda:
Unsupervised Deep Novelty Detection: Application To Muscle Ultrasound And Myositis Screening. 1910-1914 - Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. 1915-1918
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