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I-MedSAM: Implicit Medical Image Segmentation with Segment Anything

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything

28 November 2023
Xiaobao Wei
Jiajun Cao
Yizhu Jin
Ming Lu
Guangyu Wang
Shanghang Zhang
    VLM
ArXivPDFHTML

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

5 / 5 papers shown
Title
QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations
QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations
Hongni Jin
Gurinder Singh
Kenneth M. Merz Jr
24
32
0
26 Apr 2025
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
80
184
0
26 Apr 2023
Implicit Anatomical Rendering for Medical Image Segmentation with
  Stochastic Experts
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts
Chenyu You
Weicheng Dai
Yifei Min
Lawrence H. Staib
James S. Duncan
MedIm
29
12
0
06 Apr 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
237
8,157
0
06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
211
9,999
0
18 May 2015
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