| Aug 12, 2025 | Our paper, “Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?” (link here), has been accepted and selected for an oral presentation at the Deep-Brea3th Workshop at MICCAI 2025! |
| Jun 18, 2025 | Our paper, “SegmentAnyMuscle: A universal muscle segmentation model across different locations in MRI”, has been released on the arXiv! |
| Jun 15, 2025 | Our paper, “Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?”, has been released on the arXiv! |
| Jun 13, 2025 | Our paper, “MRI-CORE: A Foundation Model for Magnetic Resonance Imaging”, has been released on the arXiv! |
| Jun 3, 2025 | Our paper, “Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets”, has been released on the arXiv! |
| May 19, 2025 | Our paper, “GuidedMorph: Two-Stage Deformable Registration for Breast MRI”, has been released on the arXiv! |
| May 3, 2025 | Our paper, “Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2”, has been released on the arXiv! |
| Mar 10, 2025 | Our paper, “Quantifying the Limits of Segmentation Foundation Models: Modeling Challenges in Segmenting Tree-Like and Low-Contrast Objects”, has been released on the arXiv! |
| Oct 10, 2024 | Our paper, “Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension” (link here), has been accepted to the SciForDL workshop at NeurIPS 2024! |
| Aug 15, 2024 | Our paper, “Pre-processing and Compression: Understanding Hidden Representation Refinement Across Imaging Domains via Intrinsic Dimension”, has been released on the arXiv! |
| Jun 17, 2024 | Our paper, “Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models” (link here), has been accepted to MICCAI 2024! |
| May 12, 2024 | Our paper, “Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time Adaptation” (link here), has been accepted for an oral presentation at the DEF-AI-MIA workshop at CVPR 2024! |
| Apr 26, 2024 | Our paper, “Rethinking Perceptual Metrics for Medical Image Translation” (link here), has been accepted to the short paper track of MIDL 2024! |
| Jan 16, 2024 | Our paper, “The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images” (link here), has been accepted to ICLR 2024! |
| Oct 27, 2023 | Our paper, “Attributing Learned Concepts in Neural Networks to Training Data” (link here), has been accepted for an oral presentation at the ATTRIB workshop at NeurIPS 2023! |
| Oct 6, 2023 | Our paper, “Understanding the Inner Workings of Language Models Through Representation Dissimilarity” (link here), has been accepted to EMNLP 2023! |