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A Federated Learning-Friendly Approach for Parameter-Efficient
  Fine-Tuning of SAM in 3D Segmentation

A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation

31 July 2024
Mothilal Asokan
Difei Gao
Joya Chen
Mike Zheng Shou
    FedML
    MedIm
ArXivPDFHTML

Papers citing "A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation"

4 / 4 papers shown
Title
A Survey on Trustworthiness in Foundation Models for Medical Image
  Analysis
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis
Congzhen Shi
Ryan Rezai
Jiaxi Yang
Qi Dou
Xiaoxiao Li
MedIm
26
1
0
03 Jul 2024
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image
  Segmentation
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
Cheng Chen
Juzheng Miao
Dufan Wu
Zhiling Yan
Sekeun Kim
...
Lichao Sun
Xiang Li
Tianming Liu
Pheng-Ann Heng
Quanzheng Li
MedIm
49
55
0
16 Sep 2023
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
129
357
0
09 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1