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2407.21739
Cited By

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

Mike Zheng Shou

ArXiv (abs)PDF HTML Github (7★)

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

4 / 4 papers shown

FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation

FIVA: Federated Inverse Variance Averaging for Universal CT Segmentation with Uncertainty Estimation

Karthik Nandakumar

161

0

0

08 Aug 2025

Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches

Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific ApproachesInformation Fusion (Inf. Fusion), 2025

Matteo Leccardi

Matteo Cavicchioli

Alice Maccarini

MedIm LM&MA VLM

299

1

0

12 Jun 2025

RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation

RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation

Nuren Zhaksylyk

Ibrahim Almakky

Jay N. Paranjape

Vishal M. Patel

462

1

0

25 Mar 2025

A Survey on Trustworthiness in Foundation Models for Medical Image
Analysis

A Survey on Trustworthiness in Foundation Models for Medical Image Analysis

Jiaxi Yang

Qi Dou

Xiaoxiao Li

298

20

0

03 Jul 2024

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