IPMI 2021 will feature 3 days of oral and poster presentations of accepted papers. Thorough and lively discussions of the presented scientific results is a hallmark of the IPMI conference series, and we are designing a virtual venue to facilitate and emphasize both scientific and social interactions.
The program will feature live presentations, a keynote by Professor Gitte Moos Knudsen, poster presentations and award ceremony. Between the scheduled events, there will be possibility to meet and discuss both posters and presented orals with the authors. Pre-recorded versions of the talks will be available for viewing outside the scheduled oral sessions.
Discussion groups will meet prior to the conference to read, discuss and prepare questions for all papers. IPMI will in addition have a forum with possibility for offline discussions of all presented papers.

Keynote speaker

  • Gitte Moos Knudsen, Chair, Professor, MD, DMSc Dept. Neurology and Neurobiology Research Unit, Copenhagen University Hospital (Rigshospitalet).
    Gitte Moos Knudsen is a translational neurobiologist and clinical neurologist with interest in advanced methodological developments and applications to address pertinent neurobiological and clinical issues. Her scientific interests include blood-brain barrier transport, neurobiology of cerebral blood flow and metabolism and the neurobiology of cerebral neurotransmission with particular emphasis on molecular brain imaging. Professor Knudsen is leading the Center for Experimental Medicine Neuropharmacology (NeuroPharm) at the Rigshospitalet in Copenhagen. The center has the aim to answer pertinent and basic questions regarding human brain disease mechanisms and predict brain responses to categories of neuromodulatory interventions as well as treatment efficacy. For this purpose, PET brain scanning is used to image brain receptors and receptor occupancy, and fMRI is to evaluate drug effects on the brain hemodynamic response as well as the brains regional interactions, i.e., functional connectivity. Professor Knudsen is in addition director of the Center for Integrated Molecular Brain Imaging (Cimbi), director of the Center for Experimental Medicine Neuropharmacology (NeuroPharm), and PI of the strategic alliance BrainDrugs.

Accepted Papers


Multiple-shooting adjoint method for whole-brain dynamic causal modeling
Zhuang, Juntang; Dvornek, Nicha; Tatikonda, Sekhar; Papademetris, Xenophon; Ventola, Pamela; Duncan, James S

Geodesic Tubes for Uncertainty Quantification in Diffusion MRI
Sengers, Rick; Florack, Luc; Fuster, Andrea

Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts
Lu, Qi; Ye, Chuyang

Representation Disentanglement for Multi-modal MR Analysis
Ouyang, Jiahong; Adeli, Ehsan; Pohl, Kilian; Zhao, Qingyu; Zaharchuk, Greg

Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain Mapping
Mhiri, Islem; Nebli, Ahmed; Mahjoub, Mohamed Ali; Rekik, Islem

Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images
Cui, Zhiming; Zhang, Bojun; Lian, Chunfeng; Li, Changjian; YANG, LEI; Zhu, Min; Wang, Wenping; Shen, Dinggang

Future Frame Prediction for Robot-assisted Surgery
Gao, Xiaojie; Jin, Yueming; Zhao, Zixu; Dou, Qi; Heng, Pheng-Ann

Segmenting two-dimensional structures with strided tensor networks
Selvan, Raghavendra; Dam, Erik B B; Petersen, Jens

Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis
Yang, Chun-Hao; Vemuri, Baba

Hypermorph: Amortized Hyperparameter Learning for Image Registration
Hoopes, Andrew; Hoffmann, Malte; Fischl, Bruce; Guttag, John; Dalca, Adrian V

Variational Knowledge Distillation for Disease Classification in Chest X-Rays
van Sonsbeek, Tom J; Zhen, Xiantong; Worring, Marcel ; Shao, Ling

Distributional Gaussian Process Layers for Outlier Detection in Image Segmentation
Popescu, Sebastian G; Sharp, David; Cole, James; Kamnitsas, Konstantinos; Glocker, Ben

Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer’s Continuum
Pölsterl, Sebastian; Wachinger, Christian

Going Beyond Saliency Maps, Training Deep Models to Interpret Deep Models
Liu, Zixuan; Adeli, Ehsan; Pohl, Kilian; Zhao, Qingyu

Structural Connectome Atlas Construction in the Space of Riemannian Metrics
Campbell, Kris; Dai, Haocheng; Su, Zhe; Bauer, Martin; Fletcher, Tom; Joshi, Sarang

Cytoarchitecture Measurements in Brain Gray Matter using Likelihood-Free Inference
Jallais, Maëliss; Rodrigues, Pedro; Gramfort, Alexandre ; Wassermann, Demian

Partial Matching in the Space of Varifolds
Antonsanti, Pierre-Louis A; Glaunès, Joan; Benseghir, Thomas; Jugnon, Vincent; Kaltenmark, Irene

Velocity-To-Pressure (V2P) – Net: Inferring Relative Pressures from Time-Varying 3D Fluid Flow Velocities
Shit, Suprosanna; Das, Dhritiman; Ezhov, Ivan; Paetzold, Johannes C.; Fava Sanches, Augusto F; Thuerey, Nils; Menze, Bjoern

Deep learning based geometric registration for medical images: How accurate can we get without visual features?
Hansen, Lasse; Heinrich, Mattias


Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays
Wang, Yirui; Zheng, Kang; CHENG, CHI TUNG; Zhou, Xiao-Yun; Zheng, Zhilin; Xiao, Jing; Lu, Le; Liao, ChienHung; Miao, Shun

Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline
Xie, Long; Wisse, Laura; Wang, Jiancong; Ravikumar, Sadhana; Glenn, Trevor; Luther, Anica; Lim, Sydney; Wolk, David; Yushkevich, Paul

Semi-Supervised Screening of COVID-19 from Positive and Unlabeled Data with Constraint Non-Negative Risk Estimator
Han, Zhongyi; He, Rundong; Li, Tianyang; Wei, Benzheng; Wang, Jian; Yin, Yilong

Learning image quality assessment by reinforcing task amenable data selection
Saeed, Shaheer Ullah; Fu, Yunguan; Baum, Zachary M C; Yang, Qianye; Rusu, Mirabela; Fan, Richard; Sonn, Geoffrey; Barratt, Dean; Hu, Yipeng

Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
Gao, Yunhe; Tang, Zhiqiang; Metaxas, Dimitris N.; Zhou, Mu

A Higher Order Manifold-valued Convolutional Neural Network with Applications in Diffusion MRI Processing
Bouza, Jose; Yang, Chun-Hao; Vaillancourt, David; Vemuri, Baba C

Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects using Very Few Expert Segmentations
Gaikwad, Akshay V; Awate, Suyash P.

Principled Ultrasound Data Augmentation for Classification of Standard Planes
Lee, Lok Hin; Gao, Yuan; Noble, Alison

Lighting Enhancement Aids Reconstruction of Colonoscopic Surfaces
Zhang, Yubo Wang, Shuxian; Ma, Ruibin; McGill, Sarah; Rosenman, Julian; Pizer, Steve

A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework
Ning, Munan; Bian, Cheng; WEI, DONG; Shuang Yu; Yuan, Chenglang; Wang, Yaohua; Guo, Yang; Ma, Kai; Zheng, Yefeng

Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images
Pak, Daniel; Liu, Minliang; Ahn, Shawn; Caballero, Andres; Onofrey, John A; Liang, Liang; Sun, Wei; Duncan, James S

Diffeomorphic registration with density changes for the analysis of imbalanced shapes
Hsieh, Hsi-Wei; Charon, Nicolas

Feature Library: A Benchmark for Cervical Lesion Segmentation
Li, Yuexiang; Chen, Jiawei; Ma, Kai; Zheng, Yefeng

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations
Islam, Mobarakol; Glocker, Ben

Continual Active Learning for Efficient Adaptation of Machine Learning Models to Changing Image Acquisition
Perkonigg, Matthias; Hofmanninger, Johannes; Langs, Georg

3D Nucleus Instance Segmentation for Tissue Clearing Light Sheet Microscopy Images
Ma, Junbo; Krupa, Oleh; Glass, Rose; McCormick, Carolyn; Borland, David; Kim, Minjeong; Stein, Jason; Wu, Guorong

Collaborative Multi-Agent Reinforcement Learning for Landmark Localization Using Continuous Action Space
Kasseroller, Klemens; Payer, Christian; Thaler, Franz; Stern, Darko

Discovering Spreading Pathways of Neuropathological Events in Alzheimer’s Disease Using Harmonic Wavelets
Jiazhou Chen; Defu Yang; Hongmin Cai; Martin Styner; Guorong Wu

Cortical Morphometry Analysis based on Worst Transportation Theory
Xianfeng GU; Yalin Wang; Dongsheng An; Min Zhang Na Lei; Tong Zhao; Jianfeng Wu; Xiaoyin Xu

Learning transition times in event sequences: the temporal event-based model of disease progression
Wijeratne, Peter A; Alexander, Daniel

A Multi-Scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize The Eloquent Cortex in Brain Tumor Patients
Naresh Nandakumar; Komal Manzoor; Shruti Agarwal; Sachin Gujar; Jay Pillai; Haris Sair; Archana Venkataraman

Information-based Disentangled Representation Learning for Unsupervised MR Harmonization
Zuo, Lianrui; Dewey, Blake E; Carass, Aaron; Liu, Yihao; He, Yufan; Calabresi, Peter; Prince, Jerry L

Geodesic B-Score for Improved Assessment of Knee Osteoarthritis
Ambellan, Felix; Zachow, Stefan; von Tycowicz, Christoph

Quantile Regression for Uncertainty Estimation in VAEs with Applications to Brain Lesion Detection.
Akrami, Haleh; Joshi, Anand; Aydore, Sergul; Leahy, Richard

A Probabilistic Framework for Modeling the Variability Across Federated Datasets of Heterogeneous Multi-View Observations
Balelli, Irene; Silva, Santiago; Lorenzi, Marco

Multimodal Self-Supervised Learning for Medical Image Analysis
Taleb, Aiham; Lippert, Christoph; Klein, Tassilo; Nabi, Moin

A3DSegNet: Anatomy-aware artifact disentanglement and segmentation network for unpaired segmentation
Lyu, Yuanyuan; Liao, Haofu; Zhu, Heqin; Zhou, S. Kevin

Mixture modeling for identifying subtypes in disease course mapping
Poulet, Pierre-Emmanuel; Durrleman, Stanley

Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data
Eladi, Axel; Dey, Neel; Kim, Heejong; Gerig, Guido

Unsupervised Learning of Local Discriminative Representation for Medical Images
Chen, Huai; Li, Jieyu; Wang, Renzhen; Huang, Yi-Jie; Meng, Fanrui; Meng, Deyu; Peng, Qing; Wang, Lisheng

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer
Wang, Fan; Kapse, Saarthak; Liu, Steven H.; Prasanna, Prateek; Chen, Chao

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
Ma, Xin; Wu, Guorong; Hwang, Seong Jae; Kim, Won Hwa

Blind stain separation using model-aware generative learning and its applications on uorescence microscopy images
Li, Xingyu

Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation
Zhou, Hong-Yu; Liu, Hualuo; Cao, Shilei; WEI, DONG; Lu, Chixiang; Yu, Yizhou; Ma, Kai; Zheng, Yefeng

Is segmentation uncertainty useful?
Czolbe, Steffen; Arnavaz, Kasra; Krause, Oswin; Feragen, Aasa

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation
Yuting He; Rongjun Ge; Xiaoming Qi; Guanyu Yang; Yang Chen; Youyong Kong; Huazhong Shu; Jean-Louis Coatrieux; Shuo Li

MR Slice Profile Estimation by Learning to Match Internal Patch Distributions
Han, Shuo; Remedios, Samuel W; Carass, Aaron; Schär, Michael; Prince, Jerry L

Teach me to segment with mixed-supervision: confident students become masters
Dolz, Jose; Desrosiers, Christian; Ben Ayed, Ismail

Adversarial Regression Learning for Bone Age Estimation
Zhang, Youshan; Davison, Brian D.

Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
Zeng, Dewen; Li, Mingqi; Ding, Yukun; Xu, Xiaowei; Xie, Qiu; Xu, Ruixue; Fei, Hongwen; Huang, Meiping; Zhuang, Jian; Shi, Yiyu