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AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt
  Encoder

AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder

10 June 2023
Tal Shaharabany
Aviad Dahan
Raja Giryes
Lior Wolf
    MedImVLM
ArXiv (abs)PDFHTML

Papers citing "AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder"

12 / 12 papers shown
Title
Geometric Feature Prompting of Image Segmentation Models
Geometric Feature Prompting of Image Segmentation Models
Kenneth Ball
Erin Taylor
Nirav Patel
Andrew Bartels
Gary Koplik
James Polly
Jay Hineman
VLM
25
0
0
27 May 2025
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
Aishik Konwer
Zhijian Yang
Erhan Bas
Cao Xiao
Prateek Prasanna
Parminder Bhatia
Taha A. Kass-Hout
MedImVLM
114
1
0
06 Mar 2025
EchoONE: Segmenting Multiple echocardiography Planes in One Model
EchoONE: Segmenting Multiple echocardiography Planes in One Model
Jiongtong Hu
Wei Zhuo
Jun Cheng
Yingying Liu
Wufeng Xue
Dong Ni
255
1
0
04 Dec 2024
On Efficient Variants of Segment Anything Model: A Survey
On Efficient Variants of Segment Anything Model: A Survey
Xiaorui Sun
Jing Liu
Jikang Cheng
Xiaofeng Zhu
Ping Hu
VLM
143
7
0
07 Oct 2024
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation
Taha Koleilat
Hojat Asgariandehkordi
H. Rivaz
Yiming Xiao
MedImVLM
119
9
0
28 Sep 2024
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of
  Lung Nodules in Thoracic CT Images
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images
Furqan Shaukat
Syed Muhammad Anwar
Abhijeet Parida
Van Lam
M. Linguraru
Mubarak Shah
47
2
0
02 Jul 2024
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
Generalizable Disaster Damage Assessment via Change Detection with Vision Foundation Model
Kyeongjin Ahn
Sungwon Han
Sungwon Park
Jihee Kim
Sangyoon Park
Meeyoung Cha
107
3
0
12 Jun 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej A. Mazurowski
MedImVLM
142
21
0
15 Apr 2024
Segment Any Medical Model Extended
Segment Any Medical Model Extended
Yihao Liu
Jiaming Zhang
Andres Diaz-Pinto
Haowei Li
A. Martin-Gomez
Amir Kheradmand
Mehran Armand
VLMMedIm
65
8
0
26 Mar 2024
ProMISe: Promptable Medical Image Segmentation using SAM
ProMISe: Promptable Medical Image Segmentation using SAM
Jinfeng Wang
Sifan Song
Xinkun Wang
Yiyi Wang
Yiyi Miao
Jionglong Su
S. Kevin Zhou
MedIm
123
3
0
07 Mar 2024
AI-SAM: Automatic and Interactive Segment Anything Model
AI-SAM: Automatic and Interactive Segment Anything Model
Yimu Pan
Sitao Zhang
Alison D. Gernand
Jeffery A. Goldstein
J. Z. Wang
VLM
62
4
0
05 Dec 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming-Hsuan Yang
Fahad Shahbaz Khan
VLM
146
127
0
25 Jul 2023
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