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Medical Image Analysis
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1. Editorial Board
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1. Editorial Board
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1. Editorial Board
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1. Editorial Board
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1. Editorial Board
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1. Editorial Board
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1. Editorial Board
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1. Editorial Board
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1. Editorial Board
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2. Discovering common change-point patterns in functional connectivity across subjects
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Tác giả
Mengyu Dai, Zhengwu Zhang, Anuj Srivastava.
2. Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video
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Xiaofei Du, Maximilian Allan, Sebastian Bodenstedt, Lena Maier-Hein, ... Danail Stoyanov.
2. Fast predictive simple geodesic regression
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Tác giả
Zhipeng Ding, Greg Fleishman, Xiao Yang, Paul Thompson, ... Marc Niethammer.
2. A kernel-based image denoising method for improving parametric image generation
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Tác giả
Hsuan-Ming Huang, Chieh Lin.
2. Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
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Tác giả
Veronika Cheplygina, Marleen de Bruijne, Josien P.W. Pluim.
2. Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data
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Tác giả
Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor.
2. Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data
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Tác giả
Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor.
2. The effect of motion correction interpolation on quantitative T1 mapping with MRI
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Tác giả
Amitay Nachmani, Roey Schurr, Leo Joskowicz, Aviv A. Mezer.
2. Reviewers- an acknowledgement
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3. Disentangled representation learning in cardiac image analysis
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Tác giả
Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, ... Sotirios A. Tsaftaris.
3. A geometric framework for ensemble average propagator reconstruction from diffusion MRI
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Tác giả
Baba C. Vemuri, Jiaqi Sun, Monami Banerjee, Zhixin Pan, ... Alireza Entezari.
3. Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation
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Tác giả
Rahman Attar, Marco Pereañez, Ali Gooya, Xènia Albà, ... Alejandro F. Frangi.
3. A deep network for tissue microstructure estimation using modified LSTM units
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Tác giả
Chuyang Ye, Xiuli Li, Jingnan Chen.
3. Fully automatic 3D reconstruction of the placenta and its peripheral vasculature in intrauterine fetal MRI
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Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, ... Miguel Ángel González Ballester.
3. Noise reduction in diffusion MRI using non-local self-similar information in joint x−q space
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Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap.
3. Noise reduction in diffusion MRI using non-local self-similar information in joint x−q space
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Tác giả
Geng Chen, Yafeng Wu, Dinggang Shen, Pew-Thian Yap.
3. A deep learning framework for unsupervised affine and deformable image registration
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Tác giả
Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Hessam Sokooti, Ivana Išgum.
3. Mind the gap: Quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search
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Tác giả
Marta Nuñez-Garcia, Oscar Camara, Mark D. O’Neill, Reza Razavi, Constantine Butakoff.
4. Pre and post-hoc diagnosis and interpretation of malignancy from breast DCE-MRI
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Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro.
4. Hierarchical spherical deformation for cortical surface registration
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Tác giả
Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Martin A. Styner, Bennett A. Landman.
4. Corrigendum to “Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge” [Medical Image Analysis, 54 (2019) 111--121]
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Tác giả
Mitko Veta.
4. Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
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Caroline H. Roney, Ali Pashaei, Marianna Meo, Rémi Dubois, ... Edward J. Vigmond.
4. Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising
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Peng Liu, Mohammad D El Basha, Yangjunyi Li, Yao Xiao, ... Ruogu Fang.
4. Novel and facile criterion to assess the accuracy of WSS estimation by 4D flow MRI
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Tác giả
Seungbin Ko, Byungkuen Yang, Jee-Hyun Cho, Jeesoo Lee, Simon Song.
4. Novel and facile criterion to assess the accuracy of WSS estimation by 4D flow MRI
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Tác giả
Seungbin Ko, Byungkuen Yang, Jee-Hyun Cho, Jeesoo Lee, Simon Song.
4. A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images
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Tác giả
Daniel Jimenez-Carretero, David Bermejo-Peláez, Pietro Nardelli, Patricia Fraga, Maria J Ledesma-Carbayo.
4. Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net
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Tác giả
Jihye Yun, Jinkon Park, Donghoon Yu, Jaeyoun Yi, Namkug Kim.
5. Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images
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Tác giả
Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Ayesha Azam, ... Nasir Rajpoot.
5. Influence of coupled hemodynamics-arterial wall interaction on compliance in a realistic pulmonary artery with variable intravascular wall properties
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Tác giả
Ullhas U. Hebbar, Rupak K. Banerjee.
5. Computational anatomy for multi-organ analysis in medical imaging: A review
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Tác giả
Juan J. Cerrolaza, Mirella López Picazo, Ludovic Humbert, Yoshinobu Sato, ... Marius George Linguraru
5. Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation
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Yongqin Zhang, Pew-Thian Yap, Geng Chen, Weili Lin, ... Dinggang Shen.
5. OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions
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Tác giả
Mattias P. Heinrich, Ozan Oktay, Nassim Bouteldja.
5. Automatic needle detection and real-time Bi-planar needle visualization during 3D ultrasound scanning of the liver
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Tác giả
Muhammad Arif, Adriaan Moelker, Theo van Walsum.
5. Automatic needle detection and real-time Bi-planar needle visualization during 3D ultrasound scanning of the liver
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Tác giả
Muhammad Arif, Adriaan Moelker, Theo van Walsum.
5. Micro-Net: A unified model for segmentation of various objects in microscopy images
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Tác giả
Shan E Ahmed Raza, Linda Cheung, Muhammad Shaban, Simon Graham, Nasir M. Rajpoot.
5. Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers
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Tác giả
Mahendra Khened, Varghese Alex Kollerathu, Ganapathy Krishnamurthi.
6. How many models/atlases are needed as priors for capturing anatomic population variations?
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Tác giả
Ze Jin, Jayaram K. Udupa, Drew A. Torigian.
6. XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI
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Tác giả
Geng Chen, Bin Dong, Yong Zhang, Weili Lin, ... Pew-Thian Yap.
6. GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation
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Tác giả
T. Wollmann, M. Gunkel, I. Chung, H. Erfle, ... K. Rohr.
6. An algorithm for learning shape and appearance models without annotations
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John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre.
6. An image interpolation approach for acquisition time reduction in navigator-based 4D MRI
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Tác giả
Neerav Karani, Lin Zhang, Christine Tanner, Ender Konukoglu.
6. Multi-task exclusive relationship learning for alzheimer’s disease progression prediction with longitudinal data
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Tác giả
Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu.
6. Multi-task exclusive relationship learning for alzheimer’s disease progression prediction with longitudinal data
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Tác giả
Mingliang Wang, Daoqiang Zhang, Dinggang Shen, Mingxia Liu.
6. Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network
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Tác giả
Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang.
6. Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier
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Tác giả
Jelmer M. Wolterink, Robbert W. van Hamersvelt, Max A. Viergever, Tim Leiner, Ivana Išgum.
7. PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks
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Tác giả
Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, ... Shuo Li.
7. Cell mitosis event analysis in phase contrast microscopy images using deep learning
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Tác giả
Yunxiang Mao, Liang Han, Zhaozheng Yin.
7. Multivariate graph learning for detecting aberrant connectivity of dynamic brain networks in autism
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Tác giả
Priya Aggarwal, Anubha Gupta.
7. Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach
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Tác giả
Suyash P. Awate, Saurabh Garg, Rohit Jena.
7. Constrained-CNN losses for weakly supervised segmentation
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Tác giả
Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, ... Ismail Ben Ayed.
7. Weakly supervised mitosis detection in breast histopathology images using concentric loss
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Tác giả
Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, ... Junzhou Huang.
7. Multiple-correlation similarity for block-matching based fast CT to ultrasound registration in liver interventions
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Tác giả
Jyotirmoy Banerjee, Yuanyuan Sun, Camiel Klink, Renske Gahrmann, ... Theo van Walsum.
7. Automated diagnosis of breast ultrasonography images using deep neural networks
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Tác giả
Xiaofeng Qi, Lei Zhang, Yao Chen, Yong Pi, Zhang Yi.
7. Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects
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Tác giả
Jordina Torrents-Barrena, Gemma Piella, Narcís Masoller, Eduard Gratacós, Miguel Ángel González Ballester.
8. Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration
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Tác giả
Nooshin Ghavami, Yipeng Hu, Eli Gibson, Ester Bonmati, ... Dean C. Barratt.
8. Bayesian bacterial detection using irregularly sampled optical endomicroscopy images
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Tác giả
Ahmed Karam Eldaly, Yoann Altmann, Ahsan Akram, Paul McCool, ... Stephen McLaughlin.
8. Level set distribution model of nested structures using logarithmic transformation
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Tác giả
Atsushi Saito, Masaki Tsujikawa, Tetsuya Takakuwa, Shigehito Yamada, Akinobu Shimizu.
8. Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate
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Tác giả
Eldad Rubinstein, Moshe Salhov, Meital Nidam-Leshem, Valerie White, ... Amir Averbuch.
8. f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
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Tác giả
Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Georg Langs, Ursula Schmidt-Erfurth.
8. Multiple-correlation similarity for block-matching based fast CT to ultrasound registration in liver interventions
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Tác giả
Jyotirmoy Banerjee, Yuanyuan Sun, Camiel Klink, Renske Gahrmann, ... Theo van Walsum.
8. Weakly supervised mitosis detection in breast histopathology images using concentric loss
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Tác giả
Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, ... Junzhou Huang.
8. Robust motion correction for cardiac T1 and ECV mapping using a T1 relaxation model approach
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Tác giả
Sofie Tilborghs, Tom Dresselaers, Piet Claus, Guido Claessen, Paul Suetens.
8. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
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Tác giả
Florian Dubost, Hieab Adams, Gerda Bortsova, M. Arfan Ikram, Marleen de Bruijne.
9. Deep vessel segmentation by learning graphical connectivity
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Tác giả
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee.
9. Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
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Tác giả
Andrik Rampun, Karen López-Linares, Philip J. Morrow, Bryan W. Scotney, ... Iván Macía.
9. Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
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Tác giả
Qiao Zheng, Hervé Delingette, Nicholas Ayache.
9. Fast and accurate tumor segmentation of histology images using persistent homology and deep convolutional features
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Tác giả
Talha Qaiser, Yee-Wah Tsang, Daiki Taniyama, Naoya Sakamoto, ... Nasir Rajpoot.
9. AAR-RT – A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases
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Tác giả
Xingyu Wu, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, ... Drew A. Torigian.
9. Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling
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Tác giả
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, ... Lauge Sørensen.
9. Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection
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Tác giả
Thanh Nguyen-Duc, Tran Minh Quan, Won-Ki Jeong.
9. Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative
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Tác giả
Felix Ambellan, Alexander Tack, Moritz Ehlke, Stefan Zachow.
9. A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning
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Tác giả
Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Ulas Bagci.
10. Multi-task learning for quality assessment of fetal head ultrasound images
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Tác giả
Zehui Lin, Shengli Li, Dong Ni, Yimei Liao, ... Baiying Lei.
10. Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
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Tác giả
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu.
10. Tensor decomposition of hyperspectral images to study autofluorescence in age-related macular degeneration
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Tác giả
Neel Dey, Sungmin Hong, Thomas Ach, Yiannis Koutalos, ... Guido Gerig.
10. Automated segmentation of macular edema in OCT using deep neural networks
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Tác giả
Junjie Hu, Yuanyuan Chen, Zhang Yi.
10. Optimal surface segmentation with convex priors in irregularly sampled space
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Tác giả
Abhay Shah, Michael D. Abámoff, Xiaodong Wu.
10. Recurrent inference machines for reconstructing heterogeneous MRI data
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Tác giả
Kai Lønning, Patrick Putzky, Jan-Jakob Sonke, Liesbeth Reneman, ... Max Welling.
10. Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling
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Tác giả
Mostafa Mehdipour Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, ... Lauge Sørensen.
10. MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
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Tác giả
Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou, Nasir Rajpoot.
10. A graph-based lesion characterization and deep embedding approach for improved computer-aided diagnosis of nonmass breast MRI lesions
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Tác giả
Cristina Gallego-Ortiz, Anne L. Martel.
11. Metal artifact reduction for the segmentation of the intra cochlear anatomy in CT images of the ear with 3D-conditional GANs
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Tác giả
Jianing Wang, Jack H. Noble, Benoit M. Dawant.
11. Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images
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Tác giả
Davood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash, ... Septimiu E. Salcudean.
11. Quantitative error prediction of medical image registration using regression forests
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Tác giả
Hessam Sokooti, Gorkem Saygili, Ben Glocker, Boudewijn P.F. Lelieveldt, Marius Staring.
11. Attentive neural cell instance segmentation
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Tác giả
Jingru Yi, Pengxiang Wu, Menglin Jiang, Qiaoying Huang, ... Dimitris N. Metaxas.
11. Breast MRI and X-ray mammography registration using gradient values
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Tác giả
Eloy García, Yago Diez, Oliver Diaz, Xavier Lladó, ... Arnau Oliver.
11. Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
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Tác giả
Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P Pereira, Tom Vercauteren.
11. Recurrent inference machines for reconstructing heterogeneous MRI data
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Tác giả
Kai Lønning, Patrick Putzky, Jan-Jakob Sonke, Liesbeth Reneman, ... Max Welling.
11. Automatic graph-based method for localization of cochlear implant electrode arrays in clinical CT with sub-voxel accuracy
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Tác giả
Yiyuan Zhao, Srijata Chakravorti, Robert F. Labadie, Benoit M. Dawant, Jack H. Noble.
11. Hierarchical segmentation using equivalence test (HiSET): Application to DCE image sequences
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Tác giả
Fuchen Liu, Charles-André Cuenod, Isabelle Thomassin-Naggara, Stéphane Chemouny, Yves Rozenholc.
12. Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks
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Tác giả
Tianjiao Liu, Qianqian Guo, Chunfeng Lian, Xuhua Ren, ... Dinggang Shen.
12. Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks
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Tác giả
Christian Payer, Darko Štern, Marlies Feiner, Horst Bischof, Martin Urschler.
12. BACH: Grand challenge on breast cancer histology images
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Tác giả
Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, ... Paulo Aguiar.
12. Pulmonary nodule detection in CT scans with equivariant CNNs
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Tác giả
Marysia Winkels, Taco S. Cohen.
12. Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network
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Tác giả
Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Weiguang Ding, ... Mirza Faisal Beg.
12. Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
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Tác giả
Nikolas Lessmann, Bram van Ginneken, Pim A. de Jong, Ivana Išgum.
12. Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
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Tác giả
Daniele Ravì, Agnieszka Barbara Szczotka, Stephen P Pereira, Tom Vercauteren.
12. Quality-based UnwRap of SUbdivided Large Arrays (URSULA) for high-resolution MRI data
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Tác giả
J. Lindemeyer, A.-M. Oros-Peusquens, N.J. Shah.
12. Recovery of 3D rib motion from dynamic chest radiography and CT data using local contrast normalization and articular motion model
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Tác giả
Yuta Hiasa, Yoshito Otake, Rie Tanaka, Shigeru Sanada, Yoshinobu Sato.
13. Generative adversarial network in medical imaging: A review
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Tác giả
Xin Yi, Ekta Walia, Paul Babyn.
13. Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network
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Tác giả
Shen Zhao, Xi Wu, Bo Chen, Shuo Li.
13. Semi-supervised adversarial model for benign–malignant lung nodule classification on chest CT
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Tác giả
Yutong Xie, Jianpeng Zhang, Yong Xia.
13. Convolutional sparse kernel network for unsupervised medical image analysis
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Tác giả
Euijoon Ahn, Ashnil Kumar, Michael Fulham, Dagan Feng, Jinman Kim.
13. Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
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Tác giả
Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, ... Alan L. Yuille.
13. Graph Convolutions on Spectral Embeddings for Cortical Surface Parcellation
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Tác giả
Karthik Gopinath, Christian Desrosiers, Herve Lombaert.
13. Frequency-splitting dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding and automatic parameter selection
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Tác giả
Thanh Nguyen-Duc, Tran Minh Quan, Won-Ki Jeong.
13. Iterative fully convolutional neural networks for automatic vertebra segmentation and identification
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Tác giả
Nikolas Lessmann, Bram van Ginneken, Pim A. de Jong, Ivana Išgum.
13. CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
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Tác giả
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, Soumali Roychowdhury, Gwenolé Quellec.
13. Automatic brain labeling via multi-atlas guided fully convolutional networks
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Tác giả
Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Dinggang Shen.
14. RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
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Tác giả
Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, ... Pheng-Ann Heng.
14. Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma
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Tác giả
Marie Piraud, Markus Wennmann, Laurent Kintzelé, Jens Hillengass, ... Björn H. Menze.
14. Suite of meshless algorithms for accurate computation of soft tissue deformation for surgical simulation
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Tác giả
Grand Joldes, George Bourantas, Benjamin Zwick, Habib Chowdhury, ... Karol Miller.
14. Direct automated quantitative measurement of spine by cascade amplifier regression network with manifold regularization
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Tác giả
Shumao Pang, Zhihai Su, Stephanie Leung, Ilanit Ben Nachum, ... Shuo Li.
14. Patient-attentive sequential strategy for perimetry-based visual field acquisition
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Tác giả
Şerife Seda Kucur, Pablo Márquez-Neila, Mathias Abegg, Raphael Sznitman.
14. Evaluating reinforcement learning agents for anatomical landmark detection
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Tác giả
Amir Alansary, Ozan Oktay, Yuanwei Li, Loic Le Folgoc, ... Daniel Rueckert.
14. Evaluating reinforcement learning agents for anatomical landmark detection
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Tác giả
Amir Alansary, Ozan Oktay, Yuanwei Li, Loic Le Folgoc, ... Daniel Rueckert.
14. Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis
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Tác giả
Vimal Chandran, Ghislain Maquer, Thomas Gerig, Philippe Zysset, Mauricio Reyes.
14. Disease quantification on PET/CT images without explicit object delineation
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Tác giả
Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, Drew A. Torigian.
15. Accurate automated Cobb angles estimation using multi-view extrapolation net
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Tác giả
Liansheng Wang, Qiuhao Xu, Stephanie Leung, Jonathan Chung, ... Shuo Li.
15. A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data
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Tác giả
A.W.C. Lee, U.C. Nguyen, O. Razeghi, J. Gould, ... S. Niederer.
15. Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification
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Tác giả
Ranveer Joyseeree, Sebastian Otálora, Henning Müller, Adrien Depeursinge.
15. Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis
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Tác giả
Nripesh Parajuli, Allen Lu, Kevinminh Ta, John Stendahl, ... James S. Duncan.
15. CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation
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Tác giả
Shuai Wang, Kelei He, Dong Nie, Sihang Zhou, ... Dinggang Shen.
15. Attention gated networks: Learning to leverage salient regions in medical images
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Tác giả
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, ... Daniel Rueckert.
15. Attention gated networks: Learning to leverage salient regions in medical images
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Tác giả
Jo Schlemper, Ozan Oktay, Michiel Schaap, Mattias Heinrich, ... Daniel Rueckert.
15. Reproducibility and intercorrelation of graph theoretical measures in structural brain connectivity networks
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Tác giả
Timo Roine, Ben Jeurissen, Daniele Perrone, Jan Aelterman, Alexander Leemans.
16. Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
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Tác giả
David Tellez, Geert Litjens, Péter Bándi, Wouter Bulten, ... Jeroen van der Laak.
16. TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set
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Tác giả
Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, ... Natan T. Shaked.
16. A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms
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Tác giả
Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, ... Nils D. Forkert.
16. Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
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Tác giả
Ilkay Oksuz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, ... Andrew P. King.
16. Ultrasound guidance in minimally invasive robotic procedures
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Tác giả
Maria Antico, Fumio Sasazawa, Liao Wu, Anjali Jaiprakash, ... Davide Fontanarosa.
16. Repetitive motion compensation for real time intraoperative video processing
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Tác giả
Michaël Sdika, Laure Alston, David Rousseau, Jacques Guyotat, ... Bruno Montcel.
16. Repetitive motion compensation for real time intraoperative video processing
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Tác giả
Michaël Sdika, Laure Alston, David Rousseau, Jacques Guyotat, ... Bruno Montcel.
16. Motion artifact recognition and quantification in coronary CT angiography using convolutional neural networks
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T. Lossau, H. Nickisch, T. Wissel, R. Bippus, M. Grass.
17. Learning to detect lymphocytes in immunohistochemistry with deep learning
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Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, ... Francesco Ciompi.
17. Automatic detection and diagnosis of sacroiliitis in CT scans as incidental findings
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Yigal Shenkman, Bilal Qutteineh, Leo Joskowicz, Adi Szeskin, ... Iris Eshed.
17. The deformable most-likely-point paradigm
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Ayushi Sinha, Seth D. Billings, Austin Reiter, Xingtong Liu, ... Russell H. Taylor.
17. Population shrinkage of covariance (PoSCE) for better individual brain functional-connectivity estimation
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Mehdi Rahim, Bertrand Thirion, Gaël Varoquaux.
17. Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
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R.M. Lacher, F. Vasconcelos, N.R. Williams, G. Rindermann, ... D. Stoyanov.
17. Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation
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R.M. Lacher, F. Vasconcelos, N.R. Williams, G. Rindermann, ... D. Stoyanov.
17. Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification
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Tác giả
Yang Li, Jingyu Liu, Xinqiang Gao, Biao Jie, ... Dinggang Shen
18. Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
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Xiahai Zhuang, Lei Li, Christian Payer, Darko Štern, ... Guang Yang.
18. Holistic decomposition convolution for effective semantic segmentation of medical volume images
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Guodong Zeng, Guoyan Zheng.
18. Denoising of 3D magnetic resonance images using a residual encoder–decoder Wasserstein generative adversarial network
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Maosong Ran, Jinrong Hu, Yang Chen, Hu Chen, ... Yi Zhang.
18. Exploiting structural redundancy in q-space for improved EAP reconstruction from highly undersampled (k, q)-space in DMRI
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Jiaqi Sun, Alireza Entezari, Baba C. Vemuri.
18. Learning to detect chest radiographs containing pulmonary lesions using visual attention networks
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Emanuele Pesce, Samuel Joseph Withey, Petros-Pavlos Ypsilantis, Robert Bakewell, ... Giovanni Montana.
18. Learning to detect chest radiographs containing pulmonary lesions using visual attention networks
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Emanuele Pesce, Samuel Joseph Withey, Petros-Pavlos Ypsilantis, Robert Bakewell, ... Giovanni Montana.
18. GAS: A genetic atlas selection strategy in multi-atlas segmentation framework
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Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Sebastien Ourselin.
19. Surface-constrained volumetric registration for the early developing brain
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Sahar Ahmad, Zhengwang Wu, Gang Li, Li Wang, ... Dinggang Shen.
19. A gradient-based optical-flow cardiac motion estimation method for cine and tagged MR images
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Liang Wang, Patrick Clarysse, Zhengjun Liu, Bin Gao, ... Philippe Delachartre.
19. Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
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Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, ... Josien P.W. Pluim.
20. Automated age estimation from MRI volumes of the hand
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Tác giả
Darko Štern, Christian Payer, Martin Urschler.
20. DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem
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Ida Häggström, C. Ross Schmidtlein, Gabriele Campanella, Thomas J. Fuchs.
21. Self-supervised learning for medical image analysis using image context restoration
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Liang Chen, Paul Bentley, Kensaku Mori, Kazunari Misawa, ... Daniel Rueckert.
21. Discovering hierarchical common brain networks via multimodal deep belief network
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Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, ... Tianming Liu.
22. Globally optimal segmentation of cell nuclei in fluorescence microscopy images using shape and intensity information
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L. Kostrykin, C. Schnörr, K. Rohr.
22. A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning
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Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, ... Koen Van Leemput.
23. Integrating spatial configuration into heatmap regression based CNNs for landmark localization
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Christian Payer, Darko Štern, Horst Bischof, Martin Urschler.
24. Learning the implicit strain reconstruction in ultrasound elastography using privileged information
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Zhifan Gao, Sitong Wu, Zhi Liu, Jianwen Luo, ... Shuo Li.
24. BIRNet: Brain image registration using dual-supervised fully convolutional networks
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Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen.
25. Combined tract segmentation and orientation mapping for bundle-specific tractography
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Jakob Wasserthal, Peter F. Neher, Dusan Hirjak, Klaus H. Maier-Hein.
25. Medical image classification using synergic deep learning
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Jianpeng Zhang, Yutong Xie, Qi Wu, Yong Xia.
26. Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis
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Wen Wei, Emilie Poirion, Benedetta Bodini, Stanley Durrleman, ... Olivier Colliot.
27. Adversarial learning for mono- or multi-modal registration
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Jingfan Fan, Xiaohuan Cao, Qian Wang, Pew-Thian Yap, Dinggang Shen.
28. Removing segmentation inconsistencies with semi-supervised non-adjacency constraint
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Tác giả
Pierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-Cattin.
