collaborators

13 papers

eess.IV2026

Data-driven registration and modeling of brain deformation for image-guided neurosurgery

Tiago Assis, Colin P. Galvin, Joshua P. Castillo +12

Accurate compensation of brain deformation is critical for reliable image-guided neurosurgery. Surgical manipulation and tumor resection induce tissue motion, causing preoperative…

eess.IV2026

Beyond the LUMIR challenge: The pathway to foundational registration models

Junyu Chen, Shuwen Wei, Joel Honkamaa +33

Medical image challenges have played a transformative role in advancing the field, catalyzing innovation and establishing new performance benchmarks. Image registration, a foundati…

cs.CV2026

SIAM: Head and Brain MRI Segmentation from Few High-Quality Templates via Synthetic Training

Romain Valabregue, Ines Khemir, Eric Badinet +3

Synthetic training has recently advanced brain MRI segmentation by enabling contrast-agnostic models trained entirely on generated data. However, most existing approaches rely on h…

cs.CV2026

A 3D Cross-modal Keypoint Descriptor for MR-US Matching and Registration

Daniil Morozov, Reuben Dorent, Nazim Haouchine

Intraoperative registration of real-time ultrasound (iUS) to preoperative Magnetic Resonance Imaging (MRI) remains an unsolved problem due to severe modality-specific differences i…

cs.LG2026

Connecting Jensen-Shannon and Kullback-Leibler Divergences: A New Bound for Representation Learning

Reuben Dorent, Polina Golland, William Wells

Mutual Information (MI) is a fundamental measure of statistical dependence widely used in representation learning. While direct optimization of MI via its definition as a Kullback-…

eess.IV2026

Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges

Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51

Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…