| Nov 9, 2025 | Our paper on modeling how foundation models like SAM struggle with segmenting unusual objects has been accepted to WACV 2026! |
| Nov 6, 2025 | I’ve successfully defended my PhD! Thank you to my advisor and committee members, and everyone in my life who has supported me along the way. |
| Oct 30, 2025 | I’m very excited to announce that I will be joining the UNITES Lab at UNC Chapel Hill as a Postdoctoral Researcher under Prof. Tianlong Chen starting in early 2026! My research will focus on multimodal and agentic AI for healthcare and science. I’m looking forward to this new chapter and the opportunity to work with this incredibly talented group! |
| Oct 27, 2025 | Our paper, “Accelerating Volumetric Medical Image Annotation via Short-Long Memory SAM 2” (preprint here) has been accepted for publication in IEEE Transactions on Medical Imaging (TMI)! |
| Oct 6, 2025 | I’m honored to have been selected to be an Area Chair for MIDL 2026! Looking forward to contributing to this fantastic conference. |
| Sep 24, 2025 | Our paper, “Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?” (link here), has received the best paper award at the Deep-Brea3th Workshop at MICCAI 2025! |
| 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! |