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ORCID24th MICCAI 2021: Strasbourg, France - Part VII
- 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 VII. Lecture Notes in Computer Science 12907, Springer 2021, ISBN 978-3-030-87233-5
Clinical Applications - Abdomen
- Anuja Vats, Marius Pedersen, Ahmed Kedir Mohammed, Øistein Hovde:
Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy. 3-13 - Myeong-Gee Kim, SeokHwan Oh, Youngmin Kim, Hyuksool Kwon, Hyeon-Min Bae:
Learning-Based Attenuation Quantification in Abdominal Ultrasound. 14-23 - Qin Wang, Hui Che, Weizhen Ding, Li Xiang, Guanbin Li, Zhen Li, Shuguang Cui:
Colorectal Polyp Classification from White-Light Colonoscopy Images via Domain Alignment. 24-32 - Kexin Wang, Shuo Wang, Minghua Xiong, Chengyan Wang, He Wang:
Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics. 33-42 - Guibo Luo, Tianyu Liu, Bin Li, Michael E. Zalis, Wenli Cai:
Deep-Cleansing: Deep-Learning Based Electronic Cleansing in Dual-Energy CT Colonography. 43-53
Clinical Applications - Breast
- Pranjal Sahu, Hailiang Huang, Wei Zhao, Hong Qin:
Interactive Smoothing Parameter Optimization in DBT Reconstruction Using Deep Learning. 57-67 - Yanyun Jiang, Yuanjie Zheng, Weikuan Jia, Sutao Song, Yanhui Ding:
Synthesis of Contrast-Enhanced Spectral Mammograms from Low-Energy Mammograms Using cGAN-Based Synthesis Network. 68-77 - Xi Ouyang, Jifei Che, Qitian Chen, Zheren Li, Yiqiang Zhan, Zhong Xue, Qian Wang, Jie-Zhi Cheng, Dinggang Shen:
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms. 78-87 - Amoon Jamzad, Alice M. L. Santilli, Faranak Akbarifar, Martin Kaufmann, Kathryn Logan, Julie Wallis, Kevin Yi Mi Ren, Shaila Merchant, Cecil Jay Engel, Sonal Varma, Gabor Fichtinger, John F. Rudan, Parvin Mousavi:
Graph Transformers for Characterization and Interpretation of Surgical Margins. 88-97 - Zheren Li, Zhiming Cui, Sheng Wang, Yuji Qi, Xi Ouyang, Qitian Chen, Yuezhi Yang, Zhong Xue, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning. 98-108 - Or Bar-Shira, Ahuva Grubstein, Yael Rapson, Dror Suhami, Eli Atar, Keren Peri-Hanania, Ronnie Rosen, Yonina C. Eldar:
Learned Super Resolution Ultrasound for Improved Breast Lesion Characterization. 109-118 - Yanbo Zhang, Yuxing Tang, Zhenjie Cao, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
BI-RADS Classification of Calcification on Mammograms. 119-128 - Zhenjie Cao, Zhicheng Yang, Yuxing Tang, Yanbo Zhang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Supervised Contrastive Pre-training forMammographic Triage Screening Models. 129-139 - Mickael Tardy, Diana Mateus:
Trainable Summarization to Improve Breast Tomosynthesis Classification. 140-149
Clinical Applications - Dermatology
- Zihao Liu, Ruiqin Xiong, Tingting Jiang:
Multi-level Relationship Capture Network for Automated Skin Lesion Recognition. 153-164 - Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi:
Culprit-Prune-Net: Efficient Continual Sequential Multi-domain Learning with Application to Skin Lesion Classification. 165-175 - Zhen Yu, Victoria Mar, Anders Eriksson, Shakes Chandra, C. Paul Bonnington, Lei Zhang, Zongyuan Ge:
End-to-End Ugly Duckling Sign Detection for Melanoma Identification with Transformers. 176-184 - Xian Wu, Yangtian Yan, Shuang Zhao, Yehong Kuang, Shen Ge, Kai Wang, Xiang Chen:
Automatic Severity Rating for Improved Psoriasis Treatment. 185-194
Clinical Applications - Fetal Imaging
- Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning. 197-206 - Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz:
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. 207-217 - Jiancong Chen, Yingying Zhang, Jingyi Wang, Xiaoxue Zhou, Yihua He, Tong Zhang:
EllipseNet: Anchor-Free Ellipse Detection for Automatic Cardiac Biometrics in Fetal Echocardiography. 218-227 - Sophia Bano, Brian Dromey, Francisco Vasconcelos, Raffaele Napolitano, Anna L. David, Donald M. Peebles, Danail Stoyanov:
AutoFB: Automating Fetal Biometry Estimation from Standard Ultrasound Planes. 228-238 - Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li:
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. 239-248
Clinical Applications - Lung
- Hao-Hsiang Yang, Fu-En Wang, Cheng Sun, Kuan-Chih Huang, Hung-Wei Chen, Yi Chen, Hung-Chih Chen, Chun-Yu Liao, Shih-Hsuan Kao, Yu-Chiang Frank Wang, Chou-Chin Lan:
Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection. 251-261 - Wen Tang, Han Kang, Ying Cao, Pengxin Yu, Hu Han, Rongguo Zhang, Kuan Chen:
M-SEAM-NAM: Multi-instance Self-supervised Equivalent Attention Mechanism with Neighborhood Affinity Module for Double Weakly Supervised Segmentation of COVID-19. 262-272 - Seong Tae Kim, Leili Goli, Magdalini Paschali, Ashkan Khakzar, Matthias Keicher, Tobias Czempiel, Egon Burian, Rickmer Braren, Nassir Navab, Thomas Wendler:
Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs. 273-282 - Chen Liu, Jinze Cui, Dailin Gan, Guosheng Yin:
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning. 283-292 - Benjamin Hou, Georgios Kaissis, Ronald M. Summers, Bernhard Kainz:
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting. 293-303 - Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay:
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation. 304-314 - Mengda Guan, Yuanyuan Lyu, Wanyue Cao, Xingwang Wu, Jingjing Lu, S. Kevin Zhou:
Perceptual Quality Assessment of Chest Radiograph. 315-324 - Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. 325-334 - Nicole Varble, Alvin Chen, Ayushi Sinha, Brian C. Lee, Quirina De Ruiter, Bradford J. Wood, Torre Bydlon:
Determination of Error in 3D CT to 2D Fluoroscopy Image Registration for Endobronchial Guidance. 335-344 - Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna:
Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. 345-355 - Sudhir Suman, Gagandeep Singh, Nicole Sakla, Rishabh Gattu, Jeremy Green, Tej Phatak, Dimitris Samaras, Prateek Prasanna:
Attention Based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms. 356-366 - Amogh Hiremath, Lei Yuan, Rakesh Shiradkar, Kaustav Bera, Vidya Sankar Viswanathan, Pranjal Vaidya, Jennifer Furin, Keith Armitage, Robert Gilkeson, Mengyao Ji, Pingfu Fu, Amit Gupta, Cheng Lu, Anant Madabhushi:
LuMiRa: An Integrated Lung Deformation Atlas and 3D-CNN Model of Infiltrates for COVID-19 Prognosis. 367-377
Clinical Applications - Neuroimaging - Brain Development
- Siyuan Liu, Kim-Han Thung, Weili Lin, Pew-Thian Yap:
Multi-site Incremental Image Quality Assessment of Structural MRI via Consensus Adversarial Representation Adaptation. 381-389 - Sahar Ahmad, Ye Wu, Pew-Thian Yap:
Surface-Guided Image Fusion for Preserving Cortical Details in Human Brain Templates. 390-399 - Qingyu Zhao, Ehsan Adeli, Kilian M. Pohl:
Longitudinal Correlation Analysis for Decoding Multi-modal Brain Development. 400-409 - Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao Shi, Jianping Fan, Zhiqiang He:
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities. 410-420 - Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim:
Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children. 421-431 - Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu:
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. 432-441 - Mohammad Hamghalam, Alejandro F. Frangi, Baiying Lei, Amber L. Simpson:
Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-modal Glioma Segmentation. 442-452 - Jingyun Yang, Jie Hu, Yicong Li, Heng Liu, Yang Li:
Joint PVL Detection and Manual Ability Classification Using Semi-supervised Multi-task Learning. 453-463
Clinical Applications - Neuroimaging - DWI and Tractography
- Ye Wu, Yoonmi Hong, Sahar Ahmad, Pew-Thian Yap:
Active Cortex Tractography. 467-476 - Ye Wu, Sahar Ahmad, Pew-Thian Yap:
Highly Reproducible Whole Brain Parcellation in Individuals via Voxel Annotation with Fiber Clusters. 477-486 - Davood Karimi, Lana Vasung, Fedel Machado-Rivas, Camilo Jaimes, Shadab Khan, Ali Gholipour:
Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data. 487-496 - Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. 497-507 - Yanfu Zhang, Liang Zhan, Shandong Wu, Paul M. Thompson, Heng Huang:
Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. 508-518 - Yiran Wei, Chao Li, Stephen J. Price:
Quantifying Structural Connectivity in Brain Tumor Patients. 519-529 - Mengwei Ren, Heejong Kim, Neel Dey, Guido Gerig:
Q-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI. 530-540
Clinical Applications - Neuroimaging - Functional Brain Networks
- Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu:
Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. 543-552 - Roza G. Bayrak, Colin B. Hansen, Jorge A. Salas, Nafis Ahmed, Ilwoo Lyu, Yuankai Huo, Catie Chang:
From Brain to Body: Learning Low-Frequency Respiration and Cardiac Signals from fMRI Dynamics. 553-563 - Jiadong Yan, Yuzhong Chen, Shimin Yang, Shu Zhang, Mingxin Jiang, Zhongbo Zhao, Tuo Zhang, Yu Zhao, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. 564-573 - Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. 574-583 - Oytun Demirbilek, Islem Rekik:
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates. 584-594 - Seungjae Han, Eun-Seo Cho, Inkyu Park, Kijung Shin, Young-Gyu Yoon:
Efficient Neural Network Approximation of Robust PCA for Automated Analysis of Calcium Imaging Data. 595-604 - Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu:
Text2Brain: Synthesis of Brain Activation Maps from Free-Form Text Query. 605-614 - Sukesh Das, Anil Kumar Sao, Bharat B. Biswal:
Estimation of Spontaneous Neuronal Activity Using Homomorphic Filtering. 615-624 - Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti, Joshua Robinson, Stewart Mostofsky, Archana Venkataraman:
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes. 625-636
Clinical Applications - Neuroimaging - Others
- Yanshuai Tu, Duyan Ta, Zhonglin Lu, Yalin Wang:
Topological Receptive Field Model for Human Retinotopic Mapping. 639-649 - Karthik Gopinath, Christian Desrosiers, Herve Lombaert:
SegRecon: Learning Joint Brain Surface Reconstruction and Segmentation from Images. 650-659 - Zihao Tang, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang:
LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. 660-669 - Minh-Son To, Ian G. Sarno, Chee Chong, Mark Jenkinson, Gustavo Carneiro:
Self-Supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging. 670-680 - Florian Thamm, Oliver Taubmann, Felix Denzinger, Markus Jürgens, Hendrik Ditt, Andreas Maier:
SyNCCT: Synthetic Non-contrast Images of the Brain from Single-Energy Computed Tomography Angiography. 681-690 - Karoline Leiberg, Christoforos Papasavvas, Yujiang Wang:
Local Morphological Measures Confirm that Folding Within Small Partitions of the Human Cortex Follows Universal Scaling Law. 691-700 - Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, Dajiang Zhu, Tianming Liu:
Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. 701-709 - Jiong Zhang, Yonggang Shi:
Personalized Matching and Analysis of Cortical Folding Patterns via Patch-Based Intrinsic Brain Mapping. 710-720
Clinical Applications - Oncology
- Jiacong Hu, Zunlei Feng, Yining Mao, Jie Lei, Dan Yu, Mingli Song:
A Location Constrained Dual-Branch Network for Reliable Diagnosis of Jaw Tumors and Cysts. 723-732 - Yuhang Sun, Dongming Wei, Zhiming Cui, Yujia Zhou, Caiwen Jiang, Jiameng Liu, Qianjin Feng, Dinggang Shen:
Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint. 733-742 - Juan P. Vigueras-Guillén, Arijit Patra, Ola Engkvist, Frank Seeliger:
Parallel Capsule Networks for Classification of White Blood Cells. 743-752 - Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy. 753-763 - Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. 764-774 - Iram Shahzadi, Annika Lattermann, Annett Linge, Alex Zwanenburg, Christian Baldus, Jan C. Peeken, Stephanie E. Combs, Michael Baumann, Mechthild Krause, Esther G. C. Troost, Steffen Löck:
Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer? 775-785 - Talha Qaiser, Stefan Winzeck, Theodore Barfoot, Tara Barwick, Simon J. Doran, Martin F. Kaiser, Linda Wedlake, Nina Tunariu, Dow-Mu Koh, Christina Messiou, Andrea G. Rockall, Ben Glocker:
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. 786-796
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