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ORCID24th MICCAI 2021: Strasbourg, France - Part V
- Marleen de Bruijne
, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12905, Springer 2021, ISBN 978-3-030-87239-7
Computer Aided Diagnosis
- Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. 3-12 - Wenting Jiang, Yicheng Jiang, Lu Zhang, Changmiao Wang, Xiaoguang Han, Shuixing Zhang, Xiang Wan, Shuguang Cui:
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos Using Learnable Temporal Difference. 13-22 - Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang:
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction. 23-32 - Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. 33-42 - Chu-ran Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang:
DAE-GCN: Identifying Disease-Related Features for Disease Prediction. 43-52 - Kun Chen, Yuanfan Guo, Canqian Yang, Yi Xu, Rui Zhang, Chunxiao Li, Rong Wu:
Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation. 53-63 - Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, Anh Nguyen:
Multiple Meta-model Quantifying for Medical Visual Question Answering. 64-74 - Jianfeng Zhao, Xiaojiao Xiao, Dengwang Li, Jaron Chong, Zahra Kassam, Bo Chen, Shuo Li:
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network. 75-84 - Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou:
You only Learn Once: Universal Anatomical Landmark Detection. 85-95 - Xinxin Shan, Ying Wen, Qingli Li, Yue Lu, Haibin Cai:
A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-Domain Classification. 96-106 - Lixin Ren, Shang Wan, Yi Wei, Xiaowei He, Bin Song, Enhua Wu:
Towards a Non-invasive Diagnosis of Portal Hypertension Based on an Eulerian CFD Model with Diffuse Boundary Conditions. 107-116 - Fei Lyu, Baoyao Yang, Andy J. Ma, Pong C. Yuen:
A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels. 117-127 - Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong Chen, Seon-Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro:
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images. 128-140 - Han Li, Long Chen, Hu Han, Ying Chi, S. Kevin Zhou:
Conditional Training with Bounding Map for Universal Lesion Detection. 141-152 - Chong Yin, Siqi Liu, Rui Shao, Pong C. Yuen:
Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification. 153-162 - Xiaohan Xing, Yuenan Hou, Hang Li, Yixuan Yuan, Hongsheng Li, Max Q.-H. Meng:
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification. 163-173 - Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu:
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. 174-184 - Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss. 185-194 - Tianyi Zhao, Zhaozheng Yin:
Airway Anomaly Detection by Prototype-Based Graph Neural Network. 195-204 - Peng Huang, Xiuzhuang Zhou, Zeqiang Wei, Guodong Guo:
Energy-Based Supervised Hashing for Multimorbidity Image Retrieval. 205-214 - Mohammed S. M. ElBaz, Chris Malaisrie, Patrick McCarthy, Michael Markl:
Stochastic 4D Flow Vector-Field Signatures: A New Approach for Comprehensive 4D Flow MRI Quantification. 215-224 - Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. 225-235 - Raunak Dey, Yi Hong:
ASC-Net: Adversarial-Based Selective Network for Unsupervised Anomaly Segmentation. 236-247 - Hao Guan, Yunbi Liu, Shifu Xiao, Ling Yue, Mingxia Liu:
Cost-Sensitive Meta-learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI. 248-258 - Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. 259-269 - Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. 270-280 - Zhiming Cui, Changjian Li, Lei Yang, Chunfeng Lian, Feng Shi, Wenping Wang, Dijia Wu, Dinggang Shen:
VertNet: Accurate Vertebra Localization and Identification Network from CT Images. 281-290 - Hieu T. Nguyen, Hieu H. Pham, Nghia T. Nguyen, Ha Q. Nguyen, Thang Q. Huynh, Minh Dao, Van Vu:
VinDr-SpineXR: A Deep Learning Framework for Spinal Lesions Detection and Classification from Radiographs. 291-301 - Lingyun Wu, Zhiqiang Hu, Yuanfeng Ji, Ping Luo, Shaoting Zhang:
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation. 302-312 - Shiyu Mi, Qiqi Bao, Zhanghong Wei, Fan Xu, Wenming Yang:
MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound. 313-322 - Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Balanced-MixUp for Highly Imbalanced Medical Image Classification. 323-333 - Fernando Pérez-García, Catherine J. Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin:
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures. 334-344 - Yinhao Ren, Jiafeng Lu, Zisheng Liang, Lars J. Grimm, Connie E. Kim, Michael Taylor-Cho, Sora Yoon, Jeffrey R. Marks, Joseph Y. Lo:
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline. 345-354 - Junlin Xian, Zhiwei Wang, Kwang-Ting Cheng, Xin Yang:
Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion Matching. 355-365 - Tzu-Ming Harry Hsu, Yin-Chih Chelsea Wang:
DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision. 366-376 - Long Huo, Bin Cai, Pengpeng Liang, Zhiyong Sun, Chi Xiong, Chaoshi Niu, Bo Song, Erkang Cheng:
Joint Spinal Centerline Extraction and Curvature Estimation with Row-Wise Classification and Curve Graph Network. 377-386 - Yiting Ma, Xuejin Chen, Kai Cheng, Yang Li, Bin Sun:
LDPolypVideo Benchmark: A Large-Scale Colonoscopy Video Dataset of Diverse Polyps. 387-396 - Yang Yang, Zhiying Cui, Junjie Xu, Changhong Zhong, Ruixuan Wang, Wei-Shi Zheng:
Continual Learning with Bayesian Model Based on a Fixed Pre-trained Feature Extractor. 397-406 - Kanghao Chen, Yifan Mao, Huijuan Lu, Chenghua Zeng, Ruixuan Wang, Wei-Shi Zheng:
Alleviating Data Imbalance Issue with Perturbed Input During Inference. 407-417 - Zhuowei Li, Qing Xia, Zhiqiang Hu, Wenji Wang, Lijian Xu, Shaoting Zhang:
A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction. 418-428 - Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter:
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction. 429-438 - Zelin Qiu, Yongsheng Pan, Jie Wei, Dijia Wu, Yong Xia, Dinggang Shen:
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading. 439-448 - Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng:
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. 449-458 - Patrick Carnahan, John Moore, Daniel Bainbridge, Mehdi Eskandari, Elvis C. S. Chen, Terry M. Peters:
DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling. 459-468 - Yangwen Hu, Zhehao Zhong, Ruixuan Wang, Hongmei Liu, Zhijun Tan, Wei-Shi Zheng:
Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data. 469-479 - Yongsheng Pan, Yuanyuan Chen, Dinggang Shen, Yong Xia:
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages. 480-489 - Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng:
Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. 490-499 - Jaein Lee, Eunsong Kang, Eunjin Jeon, Heung-Il Suk:
Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification. 500-509 - Chenchen Qin, Haoming Li, Yixun Liu, Hong Shang, Hanqi Pei, Xiaoning Wang, Yihao Chen, Jianbo Chang, Ming Feng, Renzhi Wang, Jianhua Yao:
3D Brain Midline Delineation for Hematoma Patients. 510-518 - Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. 519-529 - Michael Baumgartner, Paul F. Jäger, Fabian Isensee, Klaus H. Maier-Hein:
nnDetection: A Self-configuring Method for Medical Object Detection. 530-539 - Lisette Lockhart, Parvaneh Saeedi, Jason Au, Jon Havelock:
Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning. 540-549 - Carlos A. Loza, Laura L. Colgin:
Deep Neural Dynamic Bayesian Networks Applied to EEG Sleep Spindles Modeling. 550-560 - Yan Li, Kai Lan, Xiaoyi Chen, Li Quan, Ni Zhang:
Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition. 561-570 - Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. 571-580 - Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz:
Detecting Outliers with Poisson Image Interpolation. 581-591 - Sathyanarayanan N. Aakur, Sai Narayanan, Vineela Indla, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran:
MG-NET: Leveraging Pseudo-imaging for Multi-modal Metagenome Analysis. 592-602 - Yang Yu, Peng Hu, Jie Lin, Pavitra Krishnaswamy:
Multimodal Multitask Deep Learning for X-Ray Image Retrieval. 603-613 - Shanmukh Alle, U. Deva Priyakumar:
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait. 614-623 - Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Jonas Unger:
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection. 624-633 - Giacomo Nebbia, Saba Dadsetan, Dooman Arefan, Margarita L. Zuley, Jules H. Sumkin, Heng Huang, Shandong Wu:
Radiomics-Informed Deep Curriculum Learning for Breast Cancer Diagnosis. 634-643
Integration of Imaging with Non-Imaging Biomarkers
- Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman:
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. 647-656 - Hui Cui, Ping Xuan, Qiangguo Jin, Mingjun Ding, Butuo Li, Bing Zou, Yiyue Xu, Bingjie Fan, Wanlong Li, Jinming Yu, Linlin Wang, Henry B. L. Duh:
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction. 657-666 - Nathaniel Braman, Jacob W. H. Gordon, Emery T. Goossens, Caleb Willis, Martin C. Stumpe, Jagadish Venkataraman:
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data. 667-677 - Yize Zhao, Xiwen Zhao, Mansu Kim, Jingxuan Bao, Li Shen:
A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits. 678-687 - Sebastian Pölsterl, Tom Nuno Wolf, Christian Wachinger:
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. 688-698 - Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi:
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. 699-708 - Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. 709-718
Outcome/Disease Prediction
- Yulu Guan, Hui Cui, Yiyue Xu, Qiangguo Jin, Tian Feng, Huawei Tu, Ping Xuan, Wanlong Li, Linlin Wang, Henry Been-Lirn Duh:
Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network. 721-730 - Jia-Ren Chang, Ching-Yi Lee, Chi-Chung Chen, Joachim Reischl, Talha Qaiser, Chao-Yuan Yeh:
Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images. 731-740 - Ting Xiao, Han Zheng, Xiaoning Wang, Xinghan Chen, Jianbo Chang, Jianhua Yao, Hong Shang, Peng Liu:
Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata. 741-751 - Jianan Chen, Helen M. C. Cheung, Laurent Milot, Anne L. Martel:
AMINN: Autoencoder-Based Multiple Instance Neural Network Improves Outcome Prediction in Multifocal Liver Metastases. 752-761 - Saloni Agarwal, Mohamedelfatih Eltigani Osman Abaker, Ovidiu Daescu:
Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach. 762-771 - Yoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, Flora Gilboa-Solomon:
Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes. 772-781 - Jacob C. Reinhold, Aaron Carass, Jerry L. Prince:
A Structural Causal Model for MR Images of Multiple Sclerosis. 782-792 - Yangsibo Huang, Xiaoxiao Li, Kai Li:
EMA: Auditing Data Removal from Trained Models. 793-803 - Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. 804-813 - Xianjing Liu, Bo Li, Esther E. Bron, Wiro J. Niessen, Eppo B. Wolvius, Gennady V. Roshchupkin:
Projection-Wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis. 814-823 - Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna:
Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. 824-833
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