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2309.03493
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SAM3D: Segment Anything Model in Volumetric Medical Images
7 September 2023
Nhat-Tan Bui
Dinh-Hieu Hoang
Minh-Triet Tran
Gianfranco Doretto
Donald Adjeroh
Brijesh Patel
Arabinda Choudhary
Ngan Le
MedIm
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Papers citing
"SAM3D: Segment Anything Model in Volumetric Medical Images"
23 / 23 papers shown
Title
Building 3D In-Context Learning Universal Model in Neuroimaging
Jiesi Hu
Hanyang Peng
Yanwu Yang
Xutao Guo
Yang Shang
P. Shi
Chenfei Ye
Ting Ma
62
0
0
04 Mar 2025
Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review
Ufaq Khan
Umair Nawaz
A. Qayyum
Shazad Ashraf
Muhammad Bilal
Junaid Qadir
76
0
0
24 Feb 2025
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
Bin Xie
Hao Tang
Dawen Cai
Yan Yan
Gady Agam
MedIm
VLM
50
1
0
02 Feb 2025
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing Transformer
Xinyuan Shao
Yiqing Shen
Mathias Unberath
MedIm
75
0
0
18 Dec 2024
SAM & SAM 2 in 3D Slicer: SegmentWithSAM Extension for Annotating Medical Images
Zafer Yildiz
Yuwen Chen
Maciej Mazurowski
MedIm
16
4
0
27 Aug 2024
Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models
Lin Zhao
Xiao Chen
Eric Z. Chen
Yikang Liu
Terrence Chen
Shanhui Sun
VLM
52
5
0
16 Aug 2024
Segment anything model 2: an application to 2D and 3D medical images
Haoyu Dong
Han Gu
Yaqian Chen
Jichen Yang
Yuwen Chen
Maciej Mazurowski
VLM
MedIm
27
13
0
01 Aug 2024
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
Quoc-Huy Trinh
Hai-Dang Nguyen
Bao-Tram Nguyen Ngoc
Debesh Jha
Ulas Bagci
Minh-Triet Tran
MedIm
22
0
0
21 Jun 2024
M
2
{^2}
2
Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation
Yingshuang Zou
Yikang Ding
Xi Qiu
Haoqian Wang
Haotian Zhang
MDE
20
6
0
03 May 2024
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker Decomposition
Tobias Weber
Jakob Dexl
David Rügamer
Michael Ingrisch
MedIm
24
2
0
15 Apr 2024
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 Mazurowski
MedIm
VLM
72
10
0
15 Apr 2024
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations
Pranav Kulkarni
Adway U. Kanhere
Dharmam Savani
Andrew Chan
Devina Chatterjee
P. Yi
Vishwa S. Parekh
MedIm
14
2
0
22 Mar 2024
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
Bin Xie
Hao Tang
Bin Duan
Dawen Cai
Yan Yan
Gady Agam
VLM
MedIm
23
0
0
21 Mar 2024
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
Yiqing Shen
Jingxing Li
Xinyuan Shao
Blanca Inigo Romillo
Ankush Jindal
David Dreizin
Mathias Unberath
MedIm
29
10
0
14 Mar 2024
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic Segmentation
Hairong Shi
Songhao Han
Shaofei Huang
Yue Liao
Guanbin Li
Xiangxing Kong
Hua Zhu
Xiaomu Wang
Si Liu
MedIm
19
1
0
09 Mar 2024
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions
Yichi Zhang
Zhenrong Shen
Rushi Jiao
VLM
MedIm
23
109
0
07 Jan 2024
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
Xiaobao Wei
Jiajun Cao
Yizhu Jin
Ming Lu
Guangyu Wang
Shanghang Zhang
VLM
32
9
0
28 Nov 2023
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks
Jin Ye
Junlong Cheng
Jianpin Chen
Zhongying Deng
Tian-Xin Li
...
Hui Sun
Min Zhu
Shaoting Zhang
Junjun He
Yu Qiao
VLM
MedIm
16
37
0
20 Nov 2023
Slide-SAM: Medical SAM Meets Sliding Window
Quan Quan
Fenghe Tang
Zikang Xu
Heqin Zhu
S.Kevin Zhou
VLM
MedIm
18
8
0
16 Nov 2023
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses
Trong-Thang Pham
Jacob Brecheisen
Anh Nguyen
Hien Nguyen
Ngan Le
14
4
0
24 Sep 2023
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedIm
VLM
95
276
0
26 Apr 2023
MISSFormer: An Effective Medical Image Segmentation Transformer
Xiaohong Huang
Zhifang Deng
Dandan Li
Xueguang Yuan
ViT
MedIm
87
168
0
15 Sep 2021
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,735
0
24 Feb 2021
1