Table of Contents

• Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-NetXiuxiu He, Bang Jun Guo, Yang Lei 0002, Tonghe Wang, Tian Liu, Walter J. Curran, Long Jiang Zhang, Xiaofeng Yang. [doi]
• Weakly non-rigid MR-TRUS prostate registration using fully convolutional and recurrent neural networksQiulan Zeng, Yabo Fu, Jiwoong Jason Jeong, Yang Lei 0002, Tonghe Wang, Hui Mao, Ashesh B. Jani, Pretesh Patel, Walter J. Curran, Tian Liu, Xiaofeng Yang. [doi]
• Artifact reduction in brain magnetic resonance imaging (MRI) by means of a dense residual network with K-space blending (DRN-KB)Junchi Liu, Jie Deng. [doi]
• Local structure orientation: a new method for histology and MRI coregistrationWadha Alyami, Andre Kyme, Roger Bourne. [doi]
• Automatic online quality control of synthetic CTsLouis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum. [doi]
• An unsupervised deep learning approach for 4DCT lung deformable image registrationYabo Fu, Yang Lei 0002, Tonghe Wang, Kristin Higgins, Jeffrey D. Bradley, Walter J. Curran, Tian Liu, Xiaofeng Yang. [doi]
• Visualization approach to assess the robustness of neural networks for medical image classificationElina Thibeau-Sutre, Olivier Colliot, Didier Dormont, Ninon Burgos. [doi]
• Semi-supervised multi-organ segmentation through quality assurance supervisionHo 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. [doi]
• Network features of simultaneous EEG and fMRI predict working memory loadYutong Wang, Ying Liu, Li Yao, Xiaojie Zhao. [doi]
• A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivityBiao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang 0002. [doi]
• Homology-based approach for prognostic prediction of lung cancer using novel topologically invariant radiomic featuresKenta Ninomiya, Hidetaka Arimura. [doi]
• Anatomy segmentation evaluation with sparse ground truth dataJieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A. Torigian. [doi]
• Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRIEnhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk. [doi]
• New loss functions for medical image registration based on VoxelMorphYongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan. [doi]
• Segmenting retinal OCT images with inter-B-scan and longitudinal informationYufan He, Aaron Carass, Yihao Liu, Angeliki Filippatou, Bruno M. Jedynak, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince. [doi]
• Association between fMRI brain entropy features and behavioral measuresShengchao Zhang, Baxter P. Rogers, Victoria L. Morgan, Catie Chang. [doi]
• An improved U-Net for nerve fibre segmentation in confocal corneal microscopy imagesXinxin Zhou, Xinjian Chen, Shuanglang Feng, Fei Shi. [doi]
• Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRIVishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman. [doi]
• Neural effect induced by exercise intervention can be categorized by altered functional connectivity in early psychotic patientsXiujuan Geng, Peilun Song, Eric H. Y. Chen, Yaping Wang, Jingxia Lin. [doi]
• Deep-learning-based CT-CBCT image registration for adaptive radio therapySven Kuckertz, Nils Papenberg, Jonas Honegger, Tomasz Morgas, Benjamin Haas, Stefan Heldmann. [doi]
• Cardiac cine MRI left ventricle segmentation combining deep learning and graphical modelsFumin Guo, Matthew Ng, Graham A. Wright. [doi]
• Development of a 3D carotid atlas for quantification of local volume changeXueli Chen, Yuan Zhao, John David Spence, Bernard Chiu. [doi]
• Numerical DWI phantoms to optimize accuracy and precision of quantitative parametric maps for non-Gaussian diffusionDariya I. Malyarenko, Yuxi Pang, Ghoncheh Amouzandeh, Thomas L. Chenevert. [doi]
• Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learningCamilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman. [doi]
• Improved automated segmentation of human kidney organoids using deep convolutional neural networksMichael MacDonald, Theron R. Fennel, Asha Singanamalli, Nelly M. Cruz, Mohammad Yousefhussein, Yousef Al-Kofahi, Benjamin S. Freedman. [doi]
• Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT imagesIvica Kopriva, Fei Shi, Marija Stanfel, Xinjian Chen. [doi]
• Multilevel survival analysis with structured penalties for imaging genetics dataPascal Lu, Olivier Colliot. [doi]
• Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degenerationTharindu De Silva, Nathan Hotaling, Emily Y. Chew, Catherine Cukras. [doi]
• Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiographyYihao Liu, Lianrui Zuo, Aaron Carass, Yufan He, Angeliki Filippatou, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince. [doi]
• Automated threshold selection on whole-body 18F-FDG PET/CT for assessing tumor metabolic responseIne Dirks, Marleen Keyaerts, Bart Neyns, Jef Vandemeulebroucke. [doi]
• Deformable alignment of longitudinal postoperative brain GBM scans using deep learningYi Lao, Victoria Yu, Eric Chang, Wensha Yang, Ke Sheng. [doi]
• A generalized method for computation of n-dimensional Radon transformsRobert Frysch, Tim Pfeiffer, Georg Rose. [doi]
• Deep similarity learning using a Siamese ResNet trained on similarity labels from disparity maps of cerebral MRA MIP pairsChristian Neumann, Klaus D. Tönnies, Regina Pohle-Fröhlich. [doi]
• Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentationMaria G. Baldeon Calisto, Susana K. Lai-Yuen. [doi]
• Multi-atlas-based tissue identification in the lower leg using pQCTSokratis Makrogiannis, Azubuike Okorie, Taposh Biswas, Luigi Ferrucci. [doi]
• Robust chest x-ray quality assessment using convolutional neural networks and atlas regularizationJens von Berg, Sven Krönke, André Gooßen, Daniel Bystrov, Matthias Brück, Tim Harder, Nataly Wieberneit, Stewart Young. [doi]
• Convolutional neural-network-based ordinal regression for brain age prediction from MRI scansKsenia Sokolova, Gareth J. Barker, Giovanni Montana. [doi]
• An exploration of uncertainty information for segmentation quality assessmentKatharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer. [doi]
• Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast informationJunshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk. [doi]
• Finding novelty with uncertaintyJacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass. [doi]
• Estimation of four-dimensional CT-based imaging biomarker of liver fibrosis using finite element methodKoya Fujimoto, Takehiro Shiinoki, Yuki Yuasa. [doi]
• Self-fusion for OCT noise reductionIpek Oguz, Joseph D. Malone, Yigit Atay, Yuankai K. Tao. [doi]
• Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNNJosefine Vilsbøell Sundgaard, Kristine Aavild Juhl, Klaus Fuglsang Kofoed, Rasmus R. Paulsen. [doi]
• Choroidal atrophy segmentation based on deep network with deep-supervision and EDT-auxiliary-lossRuyi Lu, Weifang Zhu, Xuena Cheng, Xinjian Chen. [doi]
• A quasi-conformal mapping-based data augmentation technique for brain tumor segmentationMin Zhang, Dongsheng An, Geoffrey S. Young, Xianfeng Gu, Xiaoyin Xu. [doi]
• 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 applicationsAnand P. Santhanam, Michael Lauria, Brad Stiehl, Daniel Elliott, Saty Seshan, Scott Hsieh, Minsong Cao, Daniel Low. [doi]
• Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imagingRiqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman. [doi]
• Simultaneously spatial and temporal higher-order total variations for noise suppression and motion reduction in DCE and IVIMRenjie 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. [doi]
• Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithmsArkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten. [doi]
• Mutual information for unsupervised deep learning image registrationBob D. de Vos, Bas H. M. van der Velden, Jörg Sander 0003, Kenneth G. A. Gilhuijs, Marius Staring, Ivana Isgum. [doi]
• Metal artifacts reduction in computed tomography by Fourier coefficient correction using convolutional neural networkQi Mai, Justin W. L. Wan. [doi]
• Left ventricular and atrial segmentation of 2D echocardiography with convolutional neural networksJoshua V. Stough, Sushravya Raghunath, Xiaoyan Zhang, John M. Pfeifer, Brandon K. Fornwalt, Christopher M. Haggerty. [doi]
• The improved reconstruction of fluorescence molecular tomography via regularized doubly orthogonal matching pursuit methodLingxin Kong, Yu-an, Yang Du, Jie Tian 0001. [doi]
• Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detectionSamuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham. [doi]
• MRI correlates of chronic symptoms in mild traumatic brain injuryCailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex. [doi]
• Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT imagesYubo Fan, DongQing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant. [doi]
• Multi-class semantic segmentation of pediatric chest radiographsGregory Holste, Ryan Sullivan, Michael D. Bindschadler, Nicholas Nagy, Adam M. Alessio. [doi]
• Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategiesZhenmei Yu, Shuchao Pang, AnAn Du, Mehmet A. Orgun, Yan Wang, Hong Lin. [doi]
• Imposing implicit feasibility constraints on deformable image registration using a statistical generative modelYudi Sang, Xianglei Xing, Ying Nian Wu, Dan Ruan. [doi]
• Topology-aware activation layer for neural network image segmentationJohn S. H. Baxter, Pierre Jannin. [doi]
• Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET imagesHaihong Tian, Dehui Xiang, Weifang Zhu, Fei Shi, Xinjian Chen. [doi]
• Adding uncertainty to dermatological assistanceJaideep Vitthal Murkute, Ronit J. Damania, Nitinraj R. Nair, Nikunj R. Kotecha, Chris Wicks, Robert Phipps, Raymond Ptucha, Art Papier. [doi]
• Coronary artery calcium scoring: Can we do better?Sanne G. M. van Velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Isgum. [doi]
• Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scansKyungmoo Lee, Elliott H. Sohn, Honghai Zhang, Alexis K. Warren, Andreas Wahle, S. Scott Whitmore, Milan Sonka, Michael D. Abràmoff. [doi]
• Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival predictionWei Han, Lei Qin, Camden Bay, Xin Chen, Kun-Hsing Yu, Angie Li, Xiaoyin Xu, Geoffrey S. Young. [doi]
• Combining deep learning and model-based segmentation for labeled spine CT segmentationChristian Bürger, Jens von Berg, Astrid Franz, Tobias Klinder, Cristian Lorenz, Matthias Lenga. [doi]
• Unsupervised local feature learning for sensitive three-dimensional ultrasound assessment of carotid atherosclerosisYuan Zhao, John David Spence, Bernard Chiu. [doi]
• Anatomically informed data augmentation for functional MRI with applications to deep learningKevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo. [doi]
• Multi-organ segmentation in head and neck MRI using U-Faster-RCNNYang Lei 0002, Jun Zhou, Xue-dong, Tonghe Wang, Hui Mao, Mark McDonald, Walter J. Curran, Tian Liu, Xiaofeng Yang. [doi]
• Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CTYabo Fu, Yang Lei 0002, Yingzi Liu, Tonghe Wang, Walter J. Curran, Tian Liu, Pretesh Patel, Xiaofeng Yang. [doi]
• Identifying the common and subject-specific functional units of speech movements via a joint sparse non-negative matrix factorization frameworkJonghye Woo, Fangxu Xing, Jerry L. Prince, Maureen Stone, Timothy G. Reese, Van J. Wedeen, Georges El Fakhri. [doi]
• Unsupervised learning-based deformable registration of temporal chest radiographs to detect interval changeQiming Fang, Jichao Yan, Xiaomeng Gu, Jun Zhao, Qiang Li. [doi]
• Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planningLouis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum. [doi]
• Towards reduced-preparation spectral-CT-colonography utilizing local covarianceRafael Wiemker, Tobias Klinder, Jörg Sabczynski, Amar Dhanantwari, Chansik An, Benjamin M. Yeh, Judy Yee. [doi]
• A target-oriented and multi-patch-based framework for image quality assessment on carotid artery MRIHongjian Jiang, Li Chen 0020, Dongxiang Xu, Huilin Zhao, Hiroko Watase, Xihai Zhao, Chun Yuan. [doi]
• Hybrid dictionary learning-ICA approaches built on novel instantaneous dynamic connectivity metric provide new multiscale insights into dynamic brain connectivityRobyn L. Miller, Vince D. Calhoun. [doi]
• FunSyn-Net: enhanced residual variational auto-encoder and image-to-image translation network for fundus image synthesisSourya Sengupta, Akshay Athwale, Tanmay Gulati, John S. Zelek, Vasudevan Lakshminarayanan. [doi]
• Super-resolution magnetic resonance imaging reconstruction using deep attention networksXiuxiu He, Yang Lei 0002, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang. [doi]
• Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planningYingzi Liu, Yang Lei 0002, Tonghe Wang, Jun Zhou, Liyong Lin, Tian Liu, Pretesh Patel, Walter J. Curran, Lei Ren, Xiaofeng Yang. [doi]
• Segmentation of stem cell colonies in fluorescence microscopy images with transfer learningDorsa Ziaei, David Chapman, Yaacov Yesha, Milton Halem. [doi]
• Validation and optimization of multi-organ segmentation on clinical imaging archivesOlivia 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. [doi]
• Are today's Mixed Reality experience pillars and hardware architectures well aligned with the specific needs of medical imaging and surgical guidance? (Conference Presentation)Bernard C. Kress. 1131302 [doi]
• Multi-modality MRI arbitrary transformation using unified generative adversarial networksYang Lei 0002, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang. 1131303 [doi]
• Joint intensity fusion with normalized cross-correlation metric for cross-modality MRI synthesis (Conference Presentation)Kathryn Ufford, Simon Vandekar, Ipek Oguz. 1131304 [doi]
• Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image databaseTong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori. 1131305 [doi]
• Transfer generative adversarial network for multimodal CT image super-resolution (Conference Presentation)Yao Xiao, Ruogu Fang. 1131306 [doi]
• GANet: group attention network for diabetic retinopathy image segmentationLei Ye, Weifang Zhu, Shuanglang Feng, Xinjian Chen. 1131307 [doi]
• Fully automated segmentation of hyper-reflective foci in OCT images using a U-shape networkLiangjiu Zhu, Weifang Zhu, Shuanglang Feng, Xinjian Chen. 1131308 [doi]
• Adversarial domain adaptation for multi-device retinal OCT segmentationYufan He, Aaron Carass, Yihao Liu, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince. 1131309 [doi]
• Contrast phase classification with a generative adversarial networkYucheng 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. 1131310 [doi]
• Vessel wall segmentation of common carotid artery via multi-branch light networkHaochen Tan, Huimin Shi, Mingquan Lin, John David Spence, Kwok-Leung Chan, Bernard Chiu. 1131311 [doi]
• Anatomical labeling of human airway branches using a novel two-step machine learning and hierarchical featuresSyed Ahmed Nadeem, Eric A. Hoffman, Alejandro P. Comellas, Punam K. Saha. 1131312 [doi]
• Incorporating minimal user input into deep-learning-based image segmentationMaysam Shahedi, Martin T. Halicek, James D. Dormer, Baowei Fei. 1131313 [doi]
• Weakly supervised pancreas segmentation based on class activation mapsMona Schumacher, Andreas Genz, Mattias P. Heinrich. 1131314 [doi]
• Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networksT. G. W. Boers, Joost van der Putten, Jeroen de Groof, Maarten R. Struyvenberg, K. Fockens, Wouter L. Curvers, Erik J. Schoon, Fons van der Sommen, Jacques J. Bergman, Peter H. N. de With. 1131315 [doi]
• Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalizationChen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori. 1131316 [doi]
• Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentationJonas A. Actor, David T. Fuentes, Béatrice Rivière. 1131317 [doi]
• Influence of decoder size for binary segmentation tasks in medical imagingJoost van der Putten, Fons van der Sommen, Peter H. N. de With. 1131318 [doi]
• Unified multi-scale feature abstraction for medical image segmentationXi Fang, Bo Du 0001, Sheng Xu 0001, Bradford J. Wood, Pingkun Yan. 1131319 [doi]
• Segmentation of choroid neovascularization in OCT images based on convolutional neural network with differential amplification blocksJinzhu Su, Xinjian Chen, Yuhui Ma, Weifang Zhu, Fei Shi. 1131320 [doi]
• Automated retinopathy of prematurity screening using deep neural network with attention mechanismYuanyuan Peng, Weifang Zhu, Feng Chen, Daoman Xiang, Xinjian Chen. 1131321 [doi]
• Estimating standard-dose PET from low-dose PET with deep learningYang Lei 0002, Xue-dong, Tonghe Wang, Kristin Higgins, Tian Liu, Walter J. Curran, Hui Mao, Jonathan A. Nye, Xiaofeng Yang. 1131322 [doi]
• Internal-transfer weighting of multi-task learning for lung cancer detectionYiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman. 1131323 [doi]
• Reduction of motion artifacts in head CT exams using multi-scale convolutional neural networkBin Su, Yanyan Liu, Jianwei Fu, Guotao Quan. 1131324 [doi]
• CAI-UNet for segmentation of liver lesion in CT imageSodam Cheon, Ehwa Yang, Won-jae Lee, Jae-Hun Kim. 1131325 [doi]
• Enhancing infarct segmentation performance using domain-specific attention in acute ischemic strokeManikanda Krishnan V., Srinivasa Rao Kundeti, Arun H. Shastry, Shankar Prasad Gorthi. 1131326 [doi]
• A grid-line suppression technique based on deep convolutional neural networksKyongwoo Kim, Hyungkyu Kim, Heesin Lee, Joongeun Jung, Joshua J. Nam, Joonhyuk Park, Donghyun Kim, Hyewon Kim, Hojoon Kim. 1131327 [doi]
• An end-to-end deep learning approach for landmark detection and matching in medical imagesMonika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten. 1131328 [doi]
• Non-rigid MRI-CT image registration with unsupervised deepdlearning-based deformation predictionYabo Fu, Yang Lei 0002, Jun Zhou, Tonghe Wang, Ashesh B. Jani, Pretesh Patel, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang. 1131329 [doi]
• Multi-label segmentation of bone, muscle, and fat in CT volumes via convex relaxationJosé Antonio Pérez-Carrasco, Begoña Acha, Carmen Serrano. 1131331 [doi]
• Group-wise attention fusion network for choroid segmentation in OCT imagesXuena Cheng, Xinjian Chen, Shuanglang Feng, Weifang Zhu, Dehui Xiang, Qiuying Chen, Xun Xu, Ying Fan, Fei Shi. 1131332 [doi]
• Automatic lung segmentation in low-dose CT image with contrastive attention moduleChangxing Yang, Haihong Tian, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen. 1131333 [doi]
• Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularizationXiaoling Yang, Xinjian Chen, Dehui Xiang. 1131334 [doi]
• Attention multi-scale network for pigment epithelial detachment segmentation in OCT imagesDengsen Bao, Xuena Cheng, Weifang Zhu, Fei Shi, Xinjian Chen. 1131335 [doi]
• Outlier guided optimization of abdominal segmentationYuchen 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. 1131336 [doi]
• Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentationShuo Han, Jerry L. Prince, Aaron Carass. 1131337 [doi]
• Synthetic MRI-aided pelvic multi-organ segmentation in cone-beam computed tomographyYang Lei 0002, Sibo Tian, Yabo Fu, Xue-dong, Tonghe Wang, Ashesh B. Jani, David M. Schuster, Walter J. Curran, Pretesh Patel, Tian Liu, Xiaofeng Yang. 1131338 [doi]
• Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networksAntong 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. 1131339 [doi]