Posts

Our lab will be presenting three papers at the International Conference on Machine Learning (ICML) 2026: Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases Jun Li, Mingxuan Liu, Jiazhen Pan, Che Liu, Wenjia Bai, Cosmin I.

Anneliese Riess’s abstract has been accepted for a poster presentation at the Theory and Practice of Differential Privacy Workshop 2026 in Boston, USA. She will present her work, “Optimal Conversion from Rényi Differential Privacy to f-Differential Privacy,” on Monday, June 1, 2026.

Three abstracts from our group have been accepted at the 2026 ISMRM & ISMRT Annual Meeting in Cape Town, South Africa: Ha Young Kim will present her work “Radiomics and Biomarker-Based Analysis of Arterial Spin Labelling MRI in Alzheimer’s Disease and non-AD Dementia” in a presentation on Monday, May 11 at 8.

Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification Josef Mayr, Anna Reithmeir, Maxime Di Folco, Julia Schnabel (https://arxiv.org/abs/2511.04190) LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Context

Applications Track: Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin Bercea, Julia Schnabel

Two members of our lab were recognized with Best Paper Awards at this year’s CHC Summer Awards at Helmholtz Munich (📸 from the award ceremony):