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EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
IEEE Transactions on Medical Imaging (IEEE TMI), 2024
30 October 2024
Sekeun Kim
Pengfei Jin
Qing Xiao
Cheng Chen
Yiwei Li
Hui Ren
Xiang Li
Tianming Liu
Quanzheng Li
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Papers citing
"EchoFM: Foundation Model for Generalizable Echocardiogram Analysis"
36 / 36 papers shown
Anatomically Constrained Transformers for Echocardiogram Analysis
A. Thorley
A. Chartsias
Jordan Strom
Jeremy Slivnick
D. Kotecha
Alberto Gómez
Yanfu Zhang
ViT
MedIm
183
0
0
02 Nov 2025
CardioBench: Do Echocardiography Foundation Models Generalize Beyond the Lab?
Darya Taratynova
Ahmed Aly
Numan Saeed
Mohammad Yaqub
145
0
0
01 Oct 2025
Anatomically Constrained Transformers for Cardiac Amyloidosis Classification
Alexander Thorley
A. Chartsias
Jordan Strom
Roberto Lang
Jeremy Slivnick
Jamie O'Driscoll
Rajan Sharma
D. Kotecha
Yanfu Zhang
A. Gómez
ViT
MedIm
171
1
0
24 Sep 2025
Temporal Representation Learning for Real-Time Ultrasound Analysis
Yves Stebler
Thomas M. Sutter
Ece Ozkan
Julia E. Vogt
146
0
0
01 Sep 2025
SAM 2: Segment Anything in Images and Videos
International Conference on Learning Representations (ICLR), 2024
Nikhila Ravi
Valentin Gabeur
Yuan-Ting Hu
Ronghang Hu
Chaitanya K. Ryali
...
Nicolas Carion
Chao-Yuan Wu
Ross B. Girshick
Piotr Dollár
Christoph Feichtenhofer
VLM
MLLM
627
2,978
0
01 Aug 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
Jingfeng Yao
Xinggang Wang
Yuehao Song
Huangxuan Zhao
Jun Ma
Yajie Chen
Wenyu Liu
Bo Wang
ViT
336
21
0
08 May 2024
Advancing Multimodal Medical Capabilities of Gemini
Lin Yang
Shawn Xu
Andrew Sellergren
Timo Kohlberger
Yuchen Zhou
...
David Steiner
Rory Pilgrim
Christopher J. Kelly
Shekoofeh Azizi
Daniel Golden
MedIm
296
132
0
06 May 2024
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
265
43
0
29 Jun 2023
Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zhao Wang
Chang Liu
Shaoting Zhang
Qi Dou
MedIm
526
113
0
29 Jun 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
Neural Information Processing Systems (NeurIPS), 2023
D. M. Nguyen
Hoang Nguyen
Nghiem Tuong Diep
Tan Ngoc Pham
T. Cao
...
Nhat Ho
Shadi Albarqouni
P. Xie
Daniel Sonntag
Mathias Niepert
VLM
MedIm
431
87
0
20 Jun 2023
Segment Everything Everywhere All at Once
Neural Information Processing Systems (NeurIPS), 2023
Xueyan Zou
Jianwei Yang
Hao Zhang
Feng Li
Linjie Li
Jianfeng Wang
Lijuan Wang
Jianfeng Gao
Yong Jae Lee
MLLM
VLM
488
757
0
13 Apr 2023
SegGPT: Segmenting Everything In Context
Xinlong Wang
Xiaosong Zhang
Yue Cao
Wen Wang
Chunhua Shen
Tiejun Huang
VOS
MLLM
VLM
224
266
0
06 Apr 2023
Segment Anything
IEEE International Conference on Computer Vision (ICCV), 2023
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
1.1K
12,789
0
05 Apr 2023
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
Computer Vision and Pattern Recognition (CVPR), 2023
Mahmoud Assran
Quentin Duval
Ishan Misra
Piotr Bojanowski
Pascal Vincent
Michael G. Rabbat
Yann LeCun
Nicolas Ballas
SSL
AI4TS
MDE
591
725
0
19 Jan 2023
Decoupling Features in Hierarchical Propagation for Video Object Segmentation
Neural Information Processing Systems (NeurIPS), 2022
Zongxin Yang
Yi Yang
VOS
409
210
0
18 Oct 2022
SimPer: Simple Self-Supervised Learning of Periodic Targets
International Conference on Learning Representations (ICLR), 2022
Yuzhe Yang
Xin Liu
Jiang Wu
Silviu Borac
Dina Katabi
M. Poh
Daniel J. McDuff
347
60
0
06 Oct 2022
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Neural Information Processing Systems (NeurIPS), 2022
Zhan Tong
Yibing Song
Jue Wang
Limin Wang
ViT
873
1,844
0
23 Mar 2022
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
479
1,104
0
22 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Computer Vision and Pattern Recognition (CVPR), 2021
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
2.8K
11,101
0
11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
981
3,586
0
15 Jun 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Neural Information Processing Systems (NeurIPS), 2021
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
1.3K
7,875
0
31 May 2021
Emerging Properties in Self-Supervised Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2021
Mathilde Caron
Hugo Touvron
Ishan Misra
Edouard Grave
Julien Mairal
Piotr Bojanowski
Armand Joulin
2.3K
8,770
0
29 Apr 2021
Multiscale Vision Transformers
IEEE International Conference on Computer Vision (ICCV), 2021
Haoqi Fan
Bo Xiong
K. Mangalam
Yanghao Li
Zhicheng Yan
Jitendra Malik
Christoph Feichtenhofer
ViT
606
1,592
0
22 Apr 2021
UNETR: Transformers for 3D Medical Image Segmentation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViT
MedIm
788
2,526
0
18 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
International Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
2.2K
46,392
0
26 Feb 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Jieneng Chen
Yongyi Lu
Qihang Yu
Xiangde Luo
Ehsan Adeli
Yan Wang
Le Lu
Alan Yuille
Yuyin Zhou
ViT
MedIm
653
5,356
0
08 Feb 2021
Exploring Simple Siamese Representation Learning
Computer Vision and Pattern Recognition (CVPR), 2020
Xinlei Chen
Kaiming He
SSL
812
4,888
0
20 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.6K
60,663
0
22 Oct 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Neural Information Processing Systems (NeurIPS), 2020
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
1.9K
8,320
0
13 Jun 2020
A Simple Framework for Contrastive Learning of Visual Representations
International Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.5K
23,674
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Computer Vision and Pattern Recognition (CVPR), 2019
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
3.4K
14,695
0
13 Nov 2019
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
Computer Vision and Pattern Recognition (CVPR), 2019
Bastian Wandt
Bodo Rosenhahn
3DH
307
258
0
26 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
3.1K
112,756
0
11 Oct 2018
The Kinetics Human Action Video Dataset
W. Kay
João Carreira
Karen Simonyan
Brian Zhang
Chloe Hillier
...
Tim Green
T. Back
Apostol Natsev
Mustafa Suleyman
Andrew Zisserman
880
4,369
0
19 May 2017
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
4.2K
225,080
0
10 Dec 2015
Deep metric learning using Triplet network
International Workshop on Similarity-Based Pattern Recognition (SBPR), 2014
Elad Hoffer
Nir Ailon
SSL
DML
831
2,173
0
20 Dec 2014
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