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ORCID11th MLMI@MICCAI 2020: Lima, Peru
- Mingxia Liu, Pingkun Yan, Chunfeng Lian, Xiaohuan Cao:
Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12436, Springer 2020, ISBN 978-3-030-59860-0 - Dongren Yao, Jing Sui
, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu:
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. 1-10 - Weifeng Hu, Xiaofen Yao, Zhou Zheng, Xiaoyun Zhang, Yu-Min Zhong, Xiaoxia Wang, Ya Zhang, Yanfeng Wang:
Error Attention Interactive Segmentation of Medical Image Through Matting and Fusion. 11-20 - Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li:
A Novel fMRI Representation Learning Framework with GAN. 21-29 - Zhou Zheng, Xiaoxia Wang, Xiaoyun Zhang, Yu-Min Zhong, Xiaofen Yao, Ya Zhang, Yanfeng Wang:
Semi-supervised Segmentation with Self-training Based on Quality Estimation and Refinement. 30-39 - Eva Schnider, Antal Horváth, Georg Rauter, Azhar Zam, Magdalena Müller-Gerbl, Philippe C. Cattin:
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies. 40-49 - Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network. 50-59 - Bo Hu, Shenglong Zhou, Zhiwei Xiong, Feng Wu:
Self-recursive Contextual Network for Unsupervised 3D Medical Image Registration. 60-69 - Yuxin Kang, Hansheng Li, Xin Han, Boju Pan, Yuan Li, Yan Jin, Qirong Bu, Lei Cui, Jun Feng, Lin Yang:
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy. 70-79 - Raghavendra Selvan, Frederik Faye, Jon Middleton, Akshay Pai:
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows. 80-90 - Xuan Li, Yuchen Lu, Christian Desrosiers, Xue Liu:
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest. 91-100 - Yue Zhang, Jiong Wu, Yilong Liu, Yifan Chen, Ed X. Wu, Xiaoying Tang:
A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation. 101-110 - Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen:
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. 111-119 - Huahong Zhang, Rohit Bakshi, Francesca Bagnato, Ipek Oguz:
Robust Multiple Sclerosis Lesion Inpainting with Edge Prior. 120-129 - Zhuowei Li, Qing Xia, Wenji Wang, Zhennan Yan, Ruohan Yin, Changjie Pan, Dimitris N. Metaxas:
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation. 130-138 - Megi Isallari, Islem Rekik:
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes. 139-149 - Pingjun Chen, Xiao Chen, Eric Z. Chen, Hanchao Yu, Terrence Chen, Shanhui Sun:
Anatomy-Aware Cardiac Motion Estimation. 150-159 - Xi Fang, Thomas Sanford, Baris Turkbey, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation. 160-169 - Zhenyuan Ning, Yu Zhang, Yongsheng Pan, Tao Zhong, Mingxia Liu, Dinggang Shen:
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. 170-179 - Carlos Tor-Díez, Antonio Reyes Porras, Roger J. Packer, Robert A. Avery, Marius George Linguraru:
Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation. 180-188 - Shishuai Hu, Jianpeng Zhang, Yong Xia:
Boundary-Aware Network for Kidney Tumor Segmentation. 189-198 - Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Christos Davatzikos, Spyridon Bakas, Despina Kontos:
O-Net: An Overall Convolutional Network for Segmentation Tasks. 199-209 - Shunbo Hu, Lintao Zhang, Yan Xu, Dinggang Shen:
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints. 210-219 - Kevin Pan, Guillem Hurault, Kai Arulkumaran, Hywel C. Williams, Reiko J. Tanaka:
EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis. 220-230 - Huiyu Li, Xiabi Liu, Said Boumaraf, Xiaopeng Gong, Donghai Liao, Xiaohong Ma:
Deep Distance Map Regression Network with Shape-Aware Loss for Imbalanced Medical Image Segmentation. 231-240 - Bin Xiao, Naying He, Qian Wang, Zhong Xue, Lei Chen, Fuhua Yan, Feng Shi, Dinggang Shen:
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer. 241-249 - Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. 250-259 - Maximilian Hornung, Oliver Taubmann, Hendrik Ditt, Björn H. Menze, Pawel Andrzej Herman, Erik Fransén:
Detection of Ischemic Infarct Core in Non-contrast Computed Tomography. 260-269 - Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger:
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. 270-280 - Wenhao Gu, Cong Gao, Robert B. Grupp, Javad Fotouhi, Mathias Unberath:
Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients. 281-291 - Mansu Kim, Jingxaun Bao, Kefei Liu, Bo-yong Park, Hyunjin Park, Li Shen:
Structural Connectivity Enriched Functional Brain Network Using Simplex Regression with GraphNet. 292-302 - Chunxiang Feng, Biao Jie, Xintao Ding, Daoqiang Zhang, Mingxia Liu:
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification. 303-311 - Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux:
Multi-tasking Siamese Networks for Breast Mass Detection Using Dual-View Mammogram Matching. 312-321 - Yikun Jiang, Peixin Li, Yungeng Zhang, Yuru Pei, Yuke Guo, Tianmin Xu, Xiaoru Yuan:
3D Volume Reconstruction from Single Lateral X-Ray Image via Cross-Modal Discrete Embedding Transition. 322-331 - Yungeng Zhang, Yuru Pei, Yuke Guo, Si Chen, Tianmin Xu, Hongbin Zha:
Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks. 332-341 - Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer:
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. 342-352 - Evan M. Yu, Adrian V. Dalca, Mert R. Sabuncu:
Learning Conditional Deformable Shape Templates for Brain Anatomy. 353-362 - Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. 363-372 - Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, Shunren Xia, Dinggang Shen, Gang Li:
Unsupervised Learning for Spherical Surface Registration. 373-383 - Yuchen Pei, Li Wang, Fenqiang Zhao, Tao Zhong, Lufan Liao, Dinggang Shen, Gang Li:
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. 384-393 - Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang:
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. 394-403 - Shuo Han, Jerry L. Prince, Aaron Carass:
Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors. 404-413 - Ming Zhou, Lichi Zhang, Xiaping Du, Xi Ouyang, Xin Zhang, Qijia Shen, Qian Wang:
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening. 414-422 - Sinan Özgür Özgün, Anne-Marie Rickmann, Abhijit Guha Roy, Christian Wachinger:
Importance Driven Continual Learning for Segmentation Across Domains. 423-433 - Raphael Ortiz, Gustavo de Medeiros, Antoine H. F. M. Peters, Prisca Liberali, Markus Rempfler:
RDCNet: Instance Segmentation with a Minimalist Recurrent Residual Network. 434-443 - Tariq Alzyadat, Stephan Praet, Girija Chetty, Roland Goecke, David Hughes, Dinesh Kumar, Marijke Welvaert, Nicole Vlahovich, Gordon Waddington:
Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network. 444-454 - Zewen Liu, Timothy F. Cootes, Christoph Ballestrem:
An End to End System for Measuring Axon Growth. 455-464 - Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang:
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. 465-473 - Linlin Yao, Pengbo Jiang, Zhong Xue, Yiqiang Zhan, Dijia Wu, Lichi Zhang, Qian Wang, Feng Shi, Dinggang Shen:
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling. 474-483 - Marek Wodzinski, Henning Müller:
Unsupervised Learning-Based Nonrigid Registration of High Resolution Histology Images. 484-493 - Sharib Ali, Binod Bhattarai, Tae-Kyun Kim, Jens Rittscher:
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images. 494-503 - Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas K. Maier, Dorin Comaniciu:
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. 504-512 - Masoumeh Bakhtiariziabari, Mohsen Ghafoorian:
Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation. 513-522 - Zahra Ghanian, Andreu Badal, Kenny H. Cha, Mohammad Mehdi Farhangi, Nicholas Petrick, Berkman Sahiner:
Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN. 523-531 - Yan Shen, Zhanghexuan Ji, Mingchen Gao:
An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. 532-541 - Yanming Zhu, Erik Meijering:
Neural Architecture Search for Microscopy Cell Segmentation. 542-551 - Md Farhad Mokter, Jung-Hwan Oh, Wallapak Tavanapong, Johnny Wong, Piet C. de Groen:
Classification of Ulcerative Colitis Severity in Colonoscopy Videos Using Vascular Pattern Detection. 552-562 - Lisa Y. W. Tang, Kendall Ho, Roger C. Tam, Nathaniel M. Hawkins, Michael Lim, Jason G. Andrade:
Predicting Catheter Ablation Outcomes with Pre-ablation Heart Rhythm Data: Less Is More. 563-571 - Syed M. S. Reza, John A. Butman, Deric M. Park, Dzung L. Pham, Snehashis Roy:
AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets. 572-582 - Zeyu Fu, Jianbo Jiao, Michael Suttie, J. Alison Noble:
Cross-Task Representation Learning for Anatomical Landmark Detection. 583-592 - Jianzhe Lin, Yue Zhang, Abdoul-aziz Amadou, Ingmar Voigt, Tommaso Mansi, Rui Liao:
Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks. 593-602 - Pei Wang, Albert C. S. Chung:
Learning Hierarchical Semantic Correspondence and Gland Instance Segmentation. 603-613 - Pranav Budhwant, Sumeet Shinde, Madhura Ingalhalikar:
Open-Set Recognition for Skin Lesions Using Dermoscopic Images. 614-623 - Jupeng Li, Yinghui Wang, Junbo Mao, Gang Li, Ruohan Ma:
End-to-End Coordinate Regression Model with Attention-Guided Mechanism for Landmark Localization in 3D Medical Images. 624-633 - Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network Using Neural Architecture Search. 634-643 - Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. 644-653 - Lei Xiang, Long Wang, Enhao Gong, Greg Zaharchuk, Tao Zhang:
Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss. 654-662 - Yue Sun, Kun Gao, Sijie Niu, Weili Lin, Gang Li, Li Wang:
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation. 663-673 - Kun Gao, Yue Sun, Sijie Niu, Li Wang:
Informative Feature-Guided Siamese Network for Early Diagnosis of Autism. 674-682
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