Day Time (Room) Workshop Name Acronym Contact Associated Challenge/Tutorial Duration (F=Full day/H=Half day)
Sept 27 (Luxembourg) ASMUS 2021: The 2nd International Workshop on Advances in Simplifying Medical UltraSound ASMUS Yipeng Hu
(University College London)[at]
- F
Sept 27 AM (Curie 2) Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - Carole Sudre
(University College London)
- H
Oct 1 AM (Luxembourg) 2nd MICCAI Workshop on "Distributed And Collaborative Learning" (DCL) DCL Nicola Rieke
Federated Tumor Segmentation (FeTS) (CH) H
Sept 27 PM (Madrid 1) CVII-STENT (Computing and Visualisation for Intravascular Imaging and Computer Assisted Stenting) CVII-STENT Simone Balocco
(University of Barcelona)
- H
Oct 1 (Dresde) MICCAI Workshop on Computational Biomechanics for Medicine XVI - Poul M. F. Nielsen
(The University of Auckland)
- F
Oct 1 (Rome) 4th Workshop on PRedictive Intelligence in MEdicine (PRIME) PRIME Islem Rekik
(Istanbul Technical University)
- F
Sept 27 AM (Amsterdam) OMIA8 - 8th Ophthalmic Medical Image Analysis Workshop (OMIA8) and GAMMA Contest OMIA-8 Yanwu Xu
(Baidu Inc)
- H
Oct 1 PM (Amsterdam) Deep Generative Models for Medical Image Computing and Computer Assisted Intervention (DGM4MICCAI) DGM4MICCAI Sandy Engelhardt
Deep Generative Model Challenge for Domain Adaptation in Surgery ADAPT OR 2021 (CH) H
Sept 27 (Rome) Joint Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI), Computer Assisted and Robotic Endoscopy (CARE), and OR 2.0 Context Aware Operating Theaters (OR2.0) AE-CAI Elvis Chen
(Robarts Research Institute)
- F
Sept 27 PM (Curie 2) iMIMIC - Interpretability of Machine Intelligence in Medical Image Computing iMIMIC Mauricio Reyes
(University of Bern)
- H
Sept 27 (Curie 1) Brain-lesion workshop (BrainLes) BrainLes Spyridon Bakas
RSNA-MICCAI Brain Tumor Segmentation (BraTS) (CH) F
Oct 1 PM (Boston) Machine Learning for Medical Image Reconstruction (MLMIR) MLMIR Tobias Wuerfl
(Siemens Healthineers)
- H
Sept 27 (Londres 2) 3rd Workshop on Computational Pathology (COMPAY) COMPAY Francesco Ciompi
(Radboud University Medical Center, Netherlands)
- F
Sept 27 PM (Londres 1) Secure and Privacy-Preserving Machine Learning for Medical Imaging - Georgios Kaissis
(Technische Universität München)
Secure and Privacy-Preserving Machine Learning for Medical Imaging (TUT) H
Oct 1 (Schuman) 3rd MICCAI workshop on "Domain Adaptation and Representation Transfer (DART): Learning Transferable, Interpretable, and Robust Representations" DART Konstantinos Kamnitsas
(Imperial College London)
2021 Kidney and Kidney Tumor Segmentation Challenge (KiTS1) (CH) F
Oct 1 (Curie 2) Computational Diffusion Magnetic Resonance Imaging (CDMRI) 2021 CDMRI Tomasz Pieciak
(Universidad de Valladolid, Valladolid, Spain)
Oct 1 AM (Bruxelles) MICCAI Workshop on Perinatal Imaging, Placental and Preterm Image analysis (PIPPI 2021) PIPPI Roxane Licandro
Fetal Brain Tissue Annotation and Segmentation Challenge (FeTA) H
Sept 27 (Amsterdam) 6th International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI) SASHIMI David Svoboda
(Masaryk University)
- F
Sept 27 (Schuman) Machine Learning in Medical Imaging (MLMI 2021) MLMI Pingkun Yan
(Rensselaer Polytechnic Institute)
- F
Sept 27 AM (Madrid1) aFfordable healthcare and AI for Resource diverse global health (FAIR) FAIR Shadi Albarqouni
(Helmholtz AI | TU Munich)
- H
Sept 27 (Boston) 10th MICCAI Workshop on Clinical Image-based Procedures (CLIP 2021): Towards Holistic Patient Models for Personalised Healthcare CLIP Cristina Oyarzun Laura
(Fraunhofer IGD)
- F
Sept 27 (Varsovie) Statistical Atlases and Computational Modelling of the Heart STACOM Alistair Young
(King's College London)
Multi-Disease, Multi-View & Multi-Center Right Ventricular Segmentation in Cardiac MRI (M&Ms-2) (CH) F
Oct 1 AM (Boston) Machine Learning in Clinical Neuroimaging (MLCN 2021) MLCN Seyed Mostafa Kia
(Donders Institute)[at]
- H
Sept 27 PM (Dresde) 3rd Workshop on Radiomics and Radiogenomics in Neuro-oncology using AI (RNO-AI 2021) RNO-AI Hassan Mohy-ud-Din
(LUMS School of Science and Engineering)
PyRadiogenomics: A Python-based tutorial on Learning Radiogenomics Signature (TUT) H
Oct 1 (Churchill) The First MICCAI Workshop on Data Augmentation, Labeling, and Imperfections (DALI) DALI Nicholas Heller
(University of Minnesota)
- F
Oct 1 (Curie 1) Lessons Learned from the development and application of medical imaging-based AI technologies for combating COVID-19 (short name: LL-COVID19) LL-COVID19 Michal Rosen-Zvi
- F
Sept 27 AM (Dresde) Topological Data Analysis and its Applications for Medical Data - Mustafa Hajij
(Santa Clara University)
- H
Oct 1 AM & PM (Londres 2) Multimodal Learning and Fusion Across Scales for Clinical Decision Support - Xiang Li
(Massachusetts General Hospital and Harvard Medical School)
Tanveer Syeda-Mahmood
- F