I-MedSAM: Implicit Medical Image Segmentation with Segment Anything

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything

28 November 2023

Shanghang Zhang

Papers citing "I-MedSAM: Implicit Medical Image Segmentation with Segment Anything"

7 / 7 papers shown

Title
QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations Hongni Jin Gurinder Singh Kenneth M. Merz Jr 41 0 0 26 Apr 2025
Adaptive Mix for Semi-Supervised Medical Image Segmentation Zhiqiang Shen Peng Cao Junming Su Jinzhu Yang Osmar R. Zaiane 51 0 0 31 Jul 2024
MAS-SAM: Segment Any Marine Animal with Aggregated Features Tianyu Yan Zifu Wan Xinhao Deng Pingping Zhang Yang Liu Huchuan Lu 29 6 0 24 Apr 2024
Customized Segment Anything Model for Medical Image Segmentation Kaiwen Zhang Dong Liu MedIm VLM 103 287 0 26 Apr 2023
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts Chenyu You Weicheng Dai Yifei Min Lawrence H. Staib James S. Duncan MedIm 67 27 0 06 Apr 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 300 75,834 0 18 May 2015