02.10.2020
MCML at MICCAI 2020
Two Accepted Papers (2 Workshops)
23rd International Conference on Medical Image Computing and Computer Assisted Intervention, Virtual, Oct 04-08, 2020
We are happy to announce that MCML researchers have contributed a total of 2 papers to MICCAI 2020: 2 Workshop papers. Congrats to our researchers!
Workshops (2 papers)
S. Denner • A. Khakzar • M. Sajid • M. Saleh • Z. Spiclin • S. T. Kim • N. Navab
Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation.
BrainLes @MICCAI 2020 - Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI GitHub
Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation.
BrainLes @MICCAI 2020 - Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI GitHub
Y. Yeganeh • A. Farshad • N. Navab • S. Albarqouni
Inverse Distance Aggregation for Federated Learning with Non-IID Data.
DART DCL @MICCAI 2020 - Workshop on Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI
Inverse Distance Aggregation for Federated Learning with Non-IID Data.
DART DCL @MICCAI 2020 - Workshop on Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI
Related
09.04.2026
Nikita Araslanov Receives Prestigious Emmy Noether Grant
Nikita Araslanov, MCML Junior Member, awarded Emmy Noether Grant to establish an independent AI research group at TUM.
02.04.2026
How AI Avatars Shape Perceived Fairness
Accepted at CHI 2026, this study shows how the race and gender of AI interview avatars shape perceptions of fairness and bias in automated hiring.
31.03.2026
GRaM Competition @ ICLR 2026
GRaM Competition 2026 challenges participants to predict airflow dynamics using AI on 3D geometries. Deadline: April 22 (AoE).