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On the Challenges and Perspectives of Foundation Models for Medical
  Image Analysis

On the Challenges and Perspectives of Foundation Models for Medical Image Analysis

9 June 2023
Shaoting Zhang
Dimitris N. Metaxas
    LM&MA
    VLM
    MedIm
    AI4CE
ArXivPDFHTML

Papers citing "On the Challenges and Perspectives of Foundation Models for Medical Image Analysis"

21 / 71 papers shown
Title
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
Liang Peng
Songyue Cai
Zongqian Wu
Huifang Shang
Xiaofeng Zhu
Xiaoxiao Li
39
9
0
22 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIP
MedIm
LM&MA
VLM
28
43
0
12 Dec 2023
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and
  Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang
Zhongzhen Huang
Rongzhao Zhang
Xiaofan Zhang
Shaoting Zhang
VLM
42
10
0
07 Dec 2023
Enhancing the Reliability of Segment Anything Model for Auto-Prompting
  Medical Image Segmentation with Uncertainty Rectification
Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
Yichi Zhang
Shiyao Hu
Sijie Ren
Chen Jiang
Yuan Cheng
Yuan Qi
MedIm
20
3
0
17 Nov 2023
Foundational Models in Medical Imaging: A Comprehensive Survey and
  Future Vision
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Bobby Azad
Reza Azad
Sania Eskandari
Afshin Bozorgpour
A. Kazerouni
I. Rekik
Dorit Merhof
VLM
MedIm
101
59
0
28 Oct 2023
SonoSAMTrack -- Segment and Track Anything on Ultrasound Images
SonoSAMTrack -- Segment and Track Anything on Ultrasound Images
Hariharan Ravishankar
Rohan Patil
V. Melapudi
Harsh Suthar
Stephan Anzengruber
Parminder Bhatia
Kass-Hout Taha
Pavan Annangi
16
0
0
25 Oct 2023
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal
  Carcinoma Tumor Segmentation across Multiple Hospitals
Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals
Hong Wang
Jing Chen
Shenmin Zhang
Yuan He
Jinfeng Xu
Mengwan Wu
Jinlan He
Wenjun Liao
Xiangde Luo
32
18
0
23 Sep 2023
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
53
58
0
16 Sep 2023
When is a Foundation Model a Foundation Model
When is a Foundation Model a Foundation Model
Saghir Alfasly
Peyman Nejat
S. Hemati
Jibran A. Khan
Isaiah Lahr
...
Aaron Mangold
Lisa Boardman
Vijay H. Shah
Joaquin J. Garcia
H. R. Tizhoosh
MedIm
12
6
0
14 Sep 2023
Sparks of Large Audio Models: A Survey and Outlook
Sparks of Large Audio Models: A Survey and Outlook
S. Latif
Moazzam Shoukat
Fahad Shamshad
Muhammad Usama
Yi Ren
...
Wenwu Wang
Xulong Zhang
Roberto Togneri
Erik Cambria
Björn W. Schuller
LM&MA
AuLLM
33
38
0
24 Aug 2023
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained
  on a Large-Scale Unannotated Dataset
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset
Guotai Wang
Jianghao Wu
Xiangde Luo
Xinglong Liu
Kang Li
Shaoting Zhang
25
25
0
29 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
26
3
0
26 Jun 2023
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in
  DSA sequences
DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequences
Wentao Liu
Tong Tian
Lemeng Wang
Weijing Xu
Lei Li
...
H. Yang
Feng Gao
Yiming Deng
Xin Yang
Ruisheng Su
26
7
0
21 Jun 2023
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
Zihao Zhao
Sheng Wang
Jinchen Gu
Yitao Zhu
Lanzhuju Mei
Zixu Zhuang
Zhiming Cui
Qian Wang
Dinggang Shen
LM&MA
34
36
0
25 May 2023
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A
  Survey
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey
Yichi Zhang
Rushi Jiao
MedIm
VLM
32
26
0
05 May 2023
Segment Anything Model for Medical Images?
Segment Anything Model for Medical Images?
Yuhao Huang
Yitian Zhao
Lei Mou
Huazhu Fu
Ao Chang
...
Lei Li
Vicente Grau
M. Akiba
Fajin Dong
Jiang-Dong Liu
VLM
80
40
0
28 Apr 2023
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image
  Segmentation
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Junde Wu
Rao Fu
Yuanpei Liu
Huihui Fang
Zhao-Yang Wang
Yanwu Xu
Yueming Jin
VLM
MedIm
39
465
0
25 Apr 2023
Brain Imaging Generation with Latent Diffusion Models
Brain Imaging Generation with Latent Diffusion Models
W. H. Pinaya
Petru-Daniel Tudosiu
J. Dafflon
P. F. D. Costa
Virginia Fernandez
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffM
MedIm
105
285
0
15 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
328
11,953
0
04 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
308
7,443
0
11 Nov 2021
SenseCare: A Research Platform for Medical Image Informatics and
  Interactive 3D Visualization
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
Qi Duan
Guotai Wang
Rui Wang
Chaohao Fu
Xinjun Li
...
Xinglong Liu
Qing Xia
Zhiqiang Hu
Ning Huang
Shaoting Zhang
40
18
0
03 Apr 2020
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