Image Processing B

119 papers

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