Understanding differences in applying DETR to natural and medical images

Yanqi XuCenter for Data Science, New York Univeristy, New York, NY, USA, Yiqiu ShenNYU Grossman School of Medicine, New York, NY, USA, Carlos Fernandez-GrandaCenter for Data Science, New York Univeristy, New York, NY, USA, Laura HeacockNYU Langone Health, New York, NY, USA, Krzysztof J. GerasNYU Grossman School of Medicine, New York, NY, USA

BrainMorph: A Foundational Keypoint Model for Robust and Flexible Brain MRI Registration

Alan Q. WangDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Rachit SalujaDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Heejong KimDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Xinzi HeDepartment of Radiology, Weill Cornell Medicine, New York City, NY, USA, Adrian DalcaComputer Science and Artificial Intelligence Lab at the Massachusetts Institute of Technology, Cambridge, MA, USA, Mert R. SabuncuSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA

MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day

Donghang LyuDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, Ruochen GaoDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands, Marius StaringDivision of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands

How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model

Hanxue GuDepartment of Electrical and Computer Engineering Duke University, NC, USA, Haoyu DongDepartment of Electrical and Computer Engineering Duke University, NC, USA, Jichen YangDepartment of Electrical and Computer Engineering Duke University, NC, USA, Maciej A. MazurowskiDepartment of Electrical and Computer Engineering Duke University, NC, USA
Department of Radiology Duke University, NC, USA
Department of Computer Science Duke University, NC, USA
Department of Biostatistics & Bioinformatics Duke University, NC, USA