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ORCID27th IPMI 2021: Virtual Event
- Aasa Feragen
, Stefan Sommer, Julia A. Schnabel, Mads Nielsen:
Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Virtual Event, June 28-June 30, 2021, Proceedings. Lecture Notes in Computer Science 12729, Springer 2021, ISBN 978-3-030-78190-3
Registration
- Andrew Hoopes, Malte Hoffmann, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
HyperMorph: Amortized Hyperparameter Learning for Image Registration. 3-17 - Lasse Hansen, Mattias P. Heinrich:
Deep Learning Based Geometric Registration for Medical Images: How Accurate Can We Get Without Visual Features? 18-30 - Hsi-Wei Hsieh, Nicolas Charon:
Diffeomorphic Registration with Density Changes for the Analysis of Imbalanced Shapes. 31-42
Causal Models and Interpretability
- Sebastian Pölsterl, Christian Wachinger:
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum. 45-57 - Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan:
Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. 58-70 - Zixuan Liu, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao:
Going Beyond Saliency Maps: Training Deep Models to Interpret Deep Models. 71-82
Generative Modelling
- Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas:
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. 85-97 - Xingyu Li:
Blind Stain Separation Using Model-Aware Generative Learning and Its Applications on Fluorescence Microscopy Images. 98-107 - Shuo Han, Samuel Remedios, Aaron Carass, Michael Schär, Jerry L. Prince:
MR Slice Profile Estimation by Learning to Match Internal Patch Distributions. 108-119
Shape
- Pierre-Louis Antonsanti, Joan Glaunès, Thomas Benseghir, Vincent Jugnon, Irène Kaltenmark:
Partial Matching in the Space of Varifolds. 123-135 - Chun-Hao Yang, Baba C. Vemuri:
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis. 136-149 - Zhiming Cui, Bojun Zhang, Chunfeng Lian, Changjian Li, Lei Yang, Wenping Wang, Min Zhu, Dinggang Shen:
Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images. 150-162 - Min Zhang, Dongsheng An, Na Lei, Jianfeng Wu, Tong Zhao, Xiaoyin Xu, Yalin Wang, Xianfeng Gu:
Cortical Morphometry Analysis Based on Worst Transportation Theory. 163-176 - Felix Ambellan, Stefan Zachow, Christoph von Tycowicz:
Geodesic B-score for Improved Assessment of Knee Osteoarthritis. 177-188
Brain Connectivity
- Maëliss Jallais, Pedro L. C. Rodrigues, Alexandre Gramfort, Demian Wassermann:
Cytoarchitecture Measurements in Brain Gray Matter Using Likelihood-Free Inference. 191-202 - Islem Mhiri, Ahmed Nebli, Mohamed Ali Mahjoub, Islem Rekik:
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping. 203-215 - Qi Lu, Chuyang Ye:
Knowledge Transfer for Few-Shot Segmentation of Novel White Matter Tracts. 216-227 - Jiazhou Chen, Defu Yang, Hongmin Cai, Martin Styner, Guorong Wu:
Discovering Spreading Pathways of Neuropathological Events in Alzheimer's Disease Using Harmonic Wavelets. 228-240 - Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients. 241-252 - Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim:
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders. 253-266 - Axel Elaldi, Neel Dey, Heejong Kim, Guido Gerig:
Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data. 267-278 - Rick Sengers, Luc Florack, Andrea Fuster:
Geodesic Tubes for Uncertainty Quantification in Diffusion MRI. 279-290 - Kristen M. Campbell, Haocheng Dai, Zhe Su, Martin Bauer, P. Thomas Fletcher, Sarang C. Joshi:
Structural Connectome Atlas Construction in the Space of Riemannian Metrics. 291-303 - Jose J. Bouza, Chun-Hao Yang, David E. Vaillancourt, Baba C. Vemuri:
A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing. 304-317
Representation Learning
- Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk:
Representation Disentanglement for Multi-modal Brain MRI Analysis. 321-333 - Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. 334-345 - Lianrui Zuo, Blake E. Dewey, Aaron Carass, Yihao Liu, Yufan He, Peter A. Calabresi, Jerry L. Prince:
Information-Based Disentangled Representation Learning for Unsupervised MR Harmonization. 346-359 - Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou:
A3DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation. 360-372 - Huai Chen, Jieyu Li, Renzhen Wang, Yijie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang:
Unsupervised Learning of Local Discriminative Representation for Medical Images. 373-385 - Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen:
TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. 386-397
Segmentation
- Raghavendra Selvan, Erik B. Dam, Jens Petersen:
Segmenting Two-Dimensional Structures with Strided Tensor Networks. 401-414 - Sebastian G. Popescu, David J. Sharp, James H. Cole, Konstantinos Kamnitsas, Ben Glocker:
Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation. 415-427 - Long Xie, Laura E. M. Wisse, Jiancong Wang, Sadhana Ravikumar, Trevor Glenn, Anica Luther, Sydney Lim, David A. Wolk, Paul A. Yushkevich:
Deep Label Fusion: A 3D End-To-End Hybrid Multi-atlas Segmentation and Deep Learning Pipeline. 428-439 - Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng:
Feature Library: A Benchmark for Cervical Lesion Segmentation. 440-451 - Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation. 452-464 - Yuting He, Rongjun Ge, Xiaoming Qi, Guanyu Yang, Yang Chen, Youyong Kong, Huazhong Shu, Jean-Louis Coatrieux, Shuo Li:
EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation. 465-477 - Dewen Zeng, Mingqi Li, Yukun Ding, Xiaowei Xu, Qiu Xie, Ruixue Xu, Hongwen Fei, Meiping Huang, Jian Zhuang, Yiyu Shi:
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography. 478-491 - Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. 492-503 - Junbo Ma, Oleh Krupa, Madison Rose Glass, Carolyn M. McCormick, David Borland, Minjeong Kim, Jason L. Stein, Guorong Wu:
3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images. 504-516 - Jose Dolz, Christian Desrosiers, Ismail Ben Ayed:
Teach Me to Segment with Mixed Supervision: Confident Students Become Masters. 517-529
Sequential Modelling
- Xiaojie Gao, Yueming Jin, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Future Frame Prediction for Robot-Assisted Surgery. 533-544 - Suprosanna Shit, Dhritiman Das, Ivan Ezhov, Johannes C. Paetzold, Augusto Fava-Sanches, Nils Thuerey, Bjoern H. Menze:
Velocity-To-Pressure (V2P) - Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities. 545-558 - Yubo Zhang, Shuxian Wang, Ruibin Ma, Sarah K. McGill, Julian G. Rosenman, Stephen M. Pizer:
Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces. 559-570 - Pierre-Emmanuel Poulet, Stanley Durrleman:
Mixture Modeling for Identifying Subtypes in Disease Course Mapping. 571-582 - Peter A. Wijeratne, Daniel C. Alexander:
Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression. 583-595
Learning with Few or Low Quality Labels
- Yirui Wang, Kang Zheng, Chi-Tung Cheng, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays. 599-610 - Zhongyi Han, Rundong He, Tianyang Li, Benzheng Wei, Jian Wang, Yilong Yin:
Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator. 611-623 - Akshay V. Gaikwad, Suyash P. Awate:
Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations. 624-636 - Daniel H. Pak, Minliang Liu, Shawn S. Ahn, Andrés Caballero, John A. Onofrey, Liang Liang, Wei Sun, James S. Duncan:
Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images. 637-648 - Matthias Perkonigg, Johannes Hofmanninger, Georg Langs:
Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition. 649-660 - Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi:
Multimodal Self-supervised Learning for Medical Image Analysis. 661-673
Uncertainty Quantification and Generative Modelling
- Mobarakol Islam, Ben Glocker:
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations. 677-688 - Haleh Akrami, Anand A. Joshi, Sergül Aydöre, Richard M. Leahy:
Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection. 689-700 - Irene Balelli, Santiago Silva, Marco Lorenzi:
A Probabilistic Framework for Modeling the Variability Across Federated Datasets. 701-714 - Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen:
Is Segmentation Uncertainty Useful? 715-726
Deep Learning
- Lok Hin Lee, Yuan Gao, J. Alison Noble:
Principled Ultrasound Data Augmentation for Classification of Standard Planes. 729-741 - Youshan Zhang, Brian D. Davison:
Adversarial Regression Learning for Bone Age Estimation. 742-754 - Shaheer U. Saeed, Yunguan Fu, Zachary M. C. Baum, Qianye Yang, Mirabela Rusu, Richard E. Fan, Geoffrey A. Sonn, Dean C. Barratt, Yipeng Hu:
Learning Image Quality Assessment by Reinforcing Task Amenable Data Selection. 755-766 - Klemens Kasseroller, Franz Thaler, Christian Payer, Darko Stern:
Collaborative Multi-agent Reinforcement Learning for Landmark Localization Using Continuous Action Space. 767-778
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