We are delighted to announce the award candidates for the Best Scientific Contribution at BAIOSPHERE Medical 2026. The selected papers represent outstanding scientific work across several highly relevant areas of AI in medicine, including fetal cardiac imaging, surgical registration, medical neural fields, and biomedical model evaluation.
| Paper | Title | First author and institution |
|---|---|---|
| Paper 47 | Prenatal Detection of Congenital Heart Disease Using End-to-end Deep Learning Pipeline | Rong Xu, West China Second University Hospital |
| Paper 48 | LK-CVT: A Hierarchical Hybrid Vision Transformer with Large-Kernel Context Aggregation for Fetal Cardiac Ultrasound | Yingkun Guo, West China Second University Hospital |
| Paper 70 | End2Reg: Learning Task-Specific Segmentation for Markerless Registration in Spine Surgery | Lorenzo Pettinari, University of Basel |
| Paper 10 | Highlight: MedFuncta: A Unified Framework for Learning Efficient Medical Neural Fields | Paul Friedrich, University of Basel |
| Paper 52 | Highlight: Critical Evaluation of Drug Response Prediction Models with DrEval | Judith Bernett, Friedrich-Alexander-Universität Erlangen-Nürnberg |
The nominated contributions highlight the international and interdisciplinary character of BAIOSPHERE Medical 2026. They bring together authors and institutions from China, Switzerland, Germany, and international collaborations, and they reflect the broad scientific scope of the conference, from clinically oriented imaging applications to advanced methodological developments in trustworthy and translational AI.
The award candidates will present their work during the oral sessions of the main conference day on June 9, 2026, at the FAU Conference Center in Erlangen. The final winner of the Best Scientific Contribution will be announced during the award ceremony at the end of the scientific program.
We warmly congratulate all nominated authors and look forward to their presentations at BAIOSPHERE Medical 2026.