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
05.10.2026
Honorable Mention at GCPR 2026
A GCPR 2026 paper co-authored by MCML Director Daniel Cremers received an Honorable Mention at the conference in Siegen.
05.10.2026
Honorable Mention at GCPR 2026
A GCPR 2026 paper co-authored by MCML Director Daniel Cremers and MCML PI Riccardo Marin received an Honorable Mention.
05.10.2026
How a Startup Is Making AI Faster and More Sustainable
Pruna AI, co-founded by MCML PI Stephan Günnemann, develops efficient AI models that use fewer resources while keeping high performance.
