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ORCIDImage Processing 2020: Houston, TX, USA
- Ivana Isgum, Bennett A. Landman:
Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020. SPIE Proceedings 11313, SPIE 2020, ISBN 9781510633933
Awards and Plenary Session
- Bernard C. Kress:
Are today's Mixed Reality experience pillars and hardware architectures well aligned with the specific needs of medical imaging and surgical guidance? (Conference Presentation). 1131302
Image Synthesis, GANs, and Novel Architectures
- Yang Lei
, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-modality MRI arbitrary transformation using unified generative adversarial networks. 1131303 - Kathryn Ufford, Simon N. Vandekar, Ipek Oguz:
Joint intensity fusion with normalized cross-correlation metric for cross-modality MRI synthesis (Conference Presentation). 1131304 - Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database. 1131305 - Yao Xiao, Ruogu Fang:
Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation). 1131306 - Lei Ye, Weifang Zhu, Shuanglang Feng, Xinjian Chen:
GANet: group attention network for diabetic retinopathy image segmentation. 1131307 - Liangjiu Zhu, Weifang Zhu, Shuanglang Feng, Xinjian Chen:
Fully automated segmentation of hyper-reflective foci in OCT images using a U-shape network. 1131308 - Yufan He, Aaron Carass, Yihao Liu, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Adversarial domain adaptation for multi-device retinal OCT segmentation. 1131309
Image Analysis in Ultrasound and OCT: Joint Session with Conferences 11313 and 11319
- Joshua V. Stough, Sushravya Raghunath, Xiaoyan Zhang, John M. Pfeifer, Brandon K. Fornwalt, Christopher M. Haggerty:
Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networks. 113130A - Kyungmoo Lee, Elliott H. Sohn, Honghai Zhang, Alexis K. Warren, Andreas Wahle, S. Scott Whitmore, Milan Sonka, Michael D. Abràmoff:
Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scans. 113130B - Ipek Oguz, Joseph D. Malone, Yigit Atay, Yuankai K. Tao:
Self-fusion for OCT noise reduction. 113130C
Lesions and Pathologies
- Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. 113130D - Zhenmei Yu, Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Hong Lin:
Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies. 113130E - Samuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. 113130F - Sanne G. M. van Velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Isgum:
Coronary artery calcium scoring: Can we do better? 113130G - Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass:
Finding novelty with uncertainty. 113130H - Rafael Wiemker, Tobias Klinder, Jörg Sabczynski, Amar Dhanantwari, Chansik An, Benjamin M. Yeh, Judy Yee:
Towards reduced-preparation spectral-CT-colonography utilizing local covariance. 113130I
Machine Learning and Deep Learning
- Koya Fujimoto, Takehiro Shiinoki, Yuki Yuasa:
Estimation of four-dimensional CT-based imaging biomarker of liver fibrosis using finite element method. 113130J - Pascal Lu, Olivier Colliot:
Multilevel survival analysis with structured penalties for imaging genetics data. 113130K - Camilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman:
Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning. 113130L - Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk:
Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. 113130M - Junchi Liu, Jie Deng:
Artifact reduction in brain magnetic resonance imaging (MRI) by means of a dense residual network with K-space blending (DRN-KB). 113130N
Registration
- Yi Lao, Victoria Yu, Eric Chang, Wensha Yang, Ke Sheng:
Deformable alignment of longitudinal postoperative brain GBM scans using deep learning. 113130O - Anand P. Santhanam, Michael Lauria, Brad Stiehl, Daniel Elliott, Saty Seshan, Scott Hsieh, Minsong Cao, Daniel Low:
An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications. 113130P - Sven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann:
Deep-learning-based CT-CBCT image registration for adaptive radio therapy. 113130Q - Bob D. de Vos, Bas H. M. van der Velden, Jörg Sander, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum:
Mutual information for unsupervised deep learning image registration. 113130R
fMRI and DTI
- Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman:
Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI. 113130S - Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo:
Anatomically informed data augmentation for functional MRI with applications to deep learning. 113130T - Xiujuan Geng, Peilun Song, Eric H. Y. Chen, Yaping Wang, Jingxia Lin:
Neural effect induced by exercise intervention can be categorized by altered functional connectivity in early psychotic patients. 113130U - Shengchao Zhang, Baxter P. Rogers, Victoria L. Morgan, Catie Chang:
Association between fMRI brain entropy features and behavioral measures. 113130V - Dariya I. Malyarenko, Yuxi Pang, Ghoncheh Amouzandeh, Thomas L. Chenevert:
Numerical DWI phantoms to optimize accuracy and precision of quantitative parametric maps for non-Gaussian diffusion. 113130W
Keynote and Highlights
- Yihao Liu, Lianrui Zuo, Aaron Carass, Yufan He, Angeliki Filippatou, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography. 113130Y - Fumin Guo, Matthew Ng, Graham A. Wright:
Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models. 113130Z - Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Contrast phase classification with a generative adversarial network. 1131310
Labeling and Segmentation
- Haochen Tan, Huimin Shi, Mingquan Lin, John David Spence, Kwok-Leung Chan, Bernard Chiu:
Vessel wall segmentation of common carotid artery via multi-branch light network. 1131311 - Syed Ahmed Nadeem, Eric A. Hoffman, Alejandro P. Comellas, Punam K. Saha:
Anatomical labeling of human airway branches using a novel two-step machine learning and hierarchical features. 1131312 - Maysam Shahedi, Martin T. Halicek, James D. Dormer, Baowei Fei:
Incorporating minimal user input into deep-learning-based image segmentation. 1131313 - Mona Schumacher, Andreas Genz, Mattias P. Heinrich:
Weakly supervised pancreas segmentation based on class activation maps. 1131314 - T. G. W. Boers, Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, Kiki Fockens, Wouter L. Curvers, Erik J. Schoon, Fons van der Sommen, Jacques J. Bergman, Peter H. N. de With:
Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks. 1131315
Deep Learning: Segmentation
- Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori:
Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization. 1131316 - Jonas A. Actor, David T. Fuentes, Beatrice Riviere:
Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation. 1131317 - Joost van der Putten, Fons van der Sommen, Peter H. N. de With:
Influence of decoder size for binary segmentation tasks in medical imaging. 1131318 - Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Unified multi-scale feature abstraction for medical image segmentation. 1131319 - John S. H. Baxter, Pierre Jannin:
Topology-aware activation layer for neural network image segmentation. 113131A - Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten:
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. 113131B
Segmentation: Anatomy
- Christian Bürger, Jens von Berg, Astrid Franz, Tobias Klinder, Cristian Lorenz, Matthias Lenga:
Combining deep learning and model-based segmentation for labeled spine CT segmentation. 113131C - Yubo Fan, Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images. 113131D - Gregory Holste, Ryan Sullivan, Michael D. Bindschadler, Nicholas Nagy, Adam M. Alessio:
Multi-class semantic segmentation of pediatric chest radiographs. 113131E - Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum:
Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning. 113131F - Jieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A. Torigian:
Anatomy segmentation evaluation with sparse ground truth data. 113131G
Deep Learning: Uncertainty and Quality
- Jaideep Vitthal Murkute, Ronit J. Damania, Nitinraj R. Nair, Nikunj R. Kotecha, Chris Wicks, Robert Phipps, Raymond W. Ptucha, Art Papier:
Adding uncertainty to dermatological assistance. 113131H - Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Semi-supervised multi-organ segmentation through quality assurance supervision. 113131I - Elina Thibeau-Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos:
Visualization approach to assess the robustness of neural networks for medical image classification. 113131J - Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer:
An exploration of uncertainty information for segmentation quality assessment. 113131K - Jens von Berg, Sven Krönke, André Gooßen, Daniel Bystrov, Matthias Brück, Tim Harder, Nataly Wieberneit, Stewart Young:
Robust chest x-ray quality assessment using convolutional neural networks and atlas regularization. 113131L - Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum:
Automatic online quality control of synthetic CTs. 113131M
Nuclear and Molecular
- Kenta Ninomiya, Hidetaka Arimura:
Homology-based approach for prognostic prediction of lung cancer using novel topologically invariant radiomic features. 113131N - Haihong Tian, Dehui Xiang, Weifang Zhu, Fei Shi, Xinjian Chen:
Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET images. 113131O - Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk:
Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. 113131P - Lingxin Kong, Yu An, Yang Du, Jie Tian:
The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit method. 113131Q - Ine Dirks, Marleen Keyaerts, Bart Neyns, Jef Vandemeulebroucke:
Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic response. 113131R
Poster Session
- Jonghye Woo, Fangxu Xing, Jerry L. Prince, Maureen Stone, Timothy G. Reese, Van J. Wedeen, Georges El Fakhri:
Identifying the common and subject-specific functional units of speech movements via a joint sparse non-negative matrix factorization framework. 113131S - Yutong Wang, Ying Liu, Li Yao, Xiaojie Zhao:
Network features of simultaneous EEG and fMRI predict working memory load. 113131U - Robyn L. Miller, Vince D. Calhoun:
Hybrid dictionary learning-ICA approaches built on novel instantaneous dynamic connectivity metric provide new multiscale insights into dynamic brain connectivity. 113131V - Maria G. Baldeon Calisto, Susana K. Lai-Yuen:
Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation. 113131W - Ruyi Lu, Weifang Zhu, Xuena Cheng, Xinjian Chen:
Choroidal atrophy segmentation based on deep network with deep-supervision and EDT-auxiliary-loss. 113131X - Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Klaus Fuglsang Kofoed, Rasmus R. Paulsen:
Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN. 113131Y - Xinxin Zhou, Xinjian Chen, Shuanglang Feng, Fei Shi:
An improved U-Net for nerve fibre segmentation in confocal corneal microscopy images. 113131Z - Jinzhu Su, Xinjian Chen, Yuhui Ma, Weifang Zhu, Fei Shi:
Segmentation of choroid neovascularization in OCT images based on convolutional neural network with differential amplification blocks. 1131320 - Yuanyuan Peng, Weifang Zhu, Feng Chen, Daoman Xiang, Xinjian Chen:
Automated retinopathy of prematurity screening using deep neural network with attention mechanism. 1131321 - Yang Lei, Xue Dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathan A. Nye, Xiaofeng Yang:
Estimating standard-dose PET from low-dose PET with deep learning. 1131322 - Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Internal-transfer weighting of multi-task learning for lung cancer detection. 1131323 - Bin Su, Yanyan Liu, Jianwei Fu, Guotao Quan:
Reduction of motion artifacts in head CT exams using multi-scale convolutional neural network. 1131324 - Sodam Cheon, Ehwa Yang, Won Jae Lee, Jae-Hun Kim:
CAI-UNet for segmentation of liver lesion in CT image. 1131325 - Manikanda Krishnan V., Srinivasa Rao Kundeti, Arun H. Shastry, Shankar Prasad Gorthi:
Enhancing infarct segmentation performance using domain-specific attention in acute ischemic stroke. 1131326 - Kyongwoo Kim, Hyungkyu Kim, Heesin Lee, Joongeun Jung, Joshua J. Nam, Joonhyuk Park, Donghyun Kim, Hyewon Kim, Hojoon Kim:
A grid-line suppression technique based on deep convolutional neural networks. 1131327 - Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten:
An end-to-end deep learning approach for landmark detection and matching in medical images. 1131328 - Yabo Fu, Yang Lei, Jun Zhou, Tonghe Wang, Ashesh B. Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation prediction. 1131329 - Hongjian Jiang, Li Chen, Dongxiang Xu, Huilin Zhao, Hiroko Watase, Xihai Zhao, Chun Yuan:
A target-oriented and multi-patch-based framework for image quality assessment on carotid artery MRI. 113132A - Ksenia Sokolova, Gareth J. Barker, Giovanni Montana:
Convolutional neural-network-based ordinal regression for brain age prediction from MRI scans. 113132B - Dorsa Ziaei, David Chapman, Yaacov Yesha, Milton Halem:
Segmentation of stem cell colonies in fluorescence microscopy images with transfer learning. 113132C - Xiuxiu He, Bangjun Guo, Yang Lei, Tonghe Wang, Tian Liu, Walter J. Curran, Longjiang Zhang, Xiaofeng Yang:
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net. 113132D - Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan:
New loss functions for medical image registration based on VoxelMorph. 113132E - Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity. 113132F - Robert Frysch, Tim Pfeiffer, Georg Rose:
A generalized method for computation of n-dimensional Radon transforms. 113132G - Ivica Kopriva, Fei Shi, Marija Stanfel, Xinjian Chen:
Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images. 113132H - Qi Mai, Justin W. L. Wan:
Metal artifacts reduction in computed tomography by Fourier coefficient correction using convolutional neural network. 113132I - Xiuxiu He, Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Super-resolution magnetic resonance imaging reconstruction using deep attention networks. 113132J - Renjie He, Yao Ding, Abdallah Sherif Radwan Mohamed, Sweet Ping Ng, Rachel B. Ger, Hesham Elhalawani, Baher A. Elgohari, Kristina H. Young, Katherine A. Hutcheson, Clifton D. Fuller, Stephen Y. Lai:
Simultaneously spatial and temporal higher-order total variations for noise suppression and motion reduction in DCE and IVIM. 113132K - Yingzi Liu, Yang Lei, Tonghe Wang, Jun Zhou, Liyong Lin, Tian Liu, Pretesh Patel, Walter J. Curran, Lei Ren, Xiaofeng Yang:
Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. 113132L - Sourya Sengupta, Akshay Athwale, Tanmay Gulati, John S. Zelek, Vasudevan Lakshminarayanan:
FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesis. 113132M - Christian Neumann, Klaus D. Tönnies, Regina Pohle-Fröhlich:
Deep similarity learning using a Siamese ResNet trained on similarity labels from disparity maps of cerebral MRA MIP pairs. 113132N - Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Validation and optimization of multi-organ segmentation on clinical imaging archives. 113132O - Min Zhang, Dongsheng An, Geoffrey S. Young, Xianfeng Gu, Xiaoyin Xu:
A quasi-conformal mapping-based data augmentation technique for brain tumor segmentation. 113132P - Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex:
MRI correlates of chronic symptoms in mild traumatic brain injury. 113132Q - Xueli Chen, Yuan Zhao, John David Spence, Bernard Chiu:
Development of a 3D carotid atlas for quantification of local volume change. 113132R - Wei Han, Lei Qin, Camden Bay, Xin Chen, Kun-Hsing Yu, Angie Li, Xiaoyin Xu, Geoffrey S. Young:
Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction. 113132S - Yabo Fu, Yang Lei, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang:
An unsupervised deep learning approach for 4DCT lung deformable image registration. 113132T - Yabo Fu, Yang Lei, Yingzi Liu, Tonghe Wang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang:
Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT. 113132U - Yudi Sang, Xianglei Xing, Ying Nian Wu, Dan Ruan:
Imposing implicit feasibility constraints on deformable image registration using a statistical generative model. 113132V - Wadha Alyami, Andre Kyme, Roger Bourne:
Local structure orientation: a new method for histology and MRI coregistration. 113132W - Qiming Fang, Jichao Yan, Xiaomeng Gu, Jun Zhao, Qiang Li:
Unsupervised learning-based deformable registration of temporal chest radiographs to detect interval change. 113132X - Qiulan Zeng, Yabo Fu, Jiwoong Jason Jeong, Yang Lei, Tonghe Wang, Hui Mao, Ashesh B. Jani, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networks. 113132Y - Tharindu De Silva, Nathan Hotaling, Emily Y. Chew, Catherine Cukras:
Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degeneration. 113132Z - José Antonio Pérez-Carrasco, Begoña Acha, Carmen Serrano:
Multi-label segmentation of bone, muscle, and fat in CT volumes via convex relaxation. 1131331 - Xuena Cheng, Xinjian Chen, Shuanglang Feng, Weifang Zhu, Dehui Xiang, Qiuying Chen, Xun Xu, Ying Fan, Fei Shi:
Group-wise attention fusion network for choroid segmentation in OCT images. 1131332 - Changxing Yang, Haihong Tian, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen:
Automatic lung segmentation in low-dose CT image with contrastive attention module. 1131333 - Xiaoling Yang, Xinjian Chen, Dehui Xiang:
Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularization. 1131334 - Dengsen Bao, Xuena Cheng, Weifang Zhu, Fei Shi, Xinjian Chen:
Attention multi-scale network for pigment epithelial detachment segmentation in OCT images. 1131335 - Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Outlier guided optimization of abdominal segmentation. 1131336 - Shuo Han, Jerry L. Prince, Aaron Carass:
Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation. 1131337 - Yang Lei, Sibo Tian, Yabo Fu, Xue Dong, Tonghe Wang, Ashesh B. Jani, David M. Schuster, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang:
Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomography. 1131338 - Antong Chen, Charlene Zhi Lin Ong, Weiwei Luo, Chen Fei Lee, Ser Mien Chia, Joana Galvao, Daniel Metzger, Eric Gifford, Chih-Liang Chin, Asad Abu Bakar Ali:
Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks. 1131339 - Yang Lei, Jun Zhou, Xue Dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang:
Multi-organ segmentation in head and neck MRI using U-Faster-RCNN. 113133A - Michael MacDonald, Theron R. Fennel, Asha Singanamalli, Nelly M. Cruz, Mohammad Yousefhussein, Yousef Al-Kofahi, Benjamin S. Freedman:
Improved automated segmentation of human kidney organoids using deep convolutional neural networks. 113133B - Yufan He, Aaron Carass, Yihao Liu, Angeliki Filippatou, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Segmenting retinal OCT images with inter-B-scan and longitudinal information. 113133C - Sokratis Makrogiannis, Azubuike Okorie, Taposh Biswas, Luigi Ferrucci:
Multi-atlas-based tissue identification in the lower leg using pQCT. 113133D - Yuan Zhao, John David Spence, Bernard Chiu:
Unsupervised local feature learning for sensitive three-dimensional ultrasound assessment of carotid atherosclerosis. 113133E
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