Three abstracts accepted at 2026 ISMRM & ISMRT Annual Meeting.
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 8.20 am SAST.
- Natascha Niessen will present her work “Highly accelerated 3D MPnRAGE meets implicit neural representation (INR) reconstruction” as a digital poster on Thursday, May 14 at 2.40 pm SAST.
- Vincent Wohlfahrt will present his work “Automated Segmentation of Individual Cerebral Perfusion Territories from Vessel-Selective MRI by Deep Learning” as a digital poster on Tuesday, May 12 at 5 pm SAST.
Five papers accepted at ISBI 2026 Main Conference
- 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
Donnate Hooft, Stefan Fischer, Cosmin Bercea, Jan Peeken, Julia Schnabel
(https://arxiv.org/abs/2601.14802)
- Learning to Reason About Rare Diseases Through Retrieval-Augmented Agents
Ha Young Kim, Jun Li, Ana Beatriz Solana, Carolin Pirkl, Benedikt Wiestler, Julia Schnabel, Cosmin Bercea
(https://arxiv.org/abs/2511.04720)
- Measuring and Aligning Abstraction in Vision-Language Models with Medical Taxonomies
Ben Schaper1, Maxime Di Folco, Bernhard Kainz, Julia Schnabel, Cosmin Bercea
(https://arxiv.org/abs/2601.14827)
- Uncertainty-guided Generation of Dark-field Radiographs
Lina Felsner, Henriette Bast, Tina Dorosti, Florian Schaff, Franz Pfeiffer, Daniela Pfeiffer, Julia Schnabel
(http://arxiv.org/abs/2601.15859)