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EchoONE: Segmenting Multiple echocardiography Planes in One Model
v1v2v3 (latest)

EchoONE: Segmenting Multiple echocardiography Planes in One Model

Computer Vision and Pattern Recognition (CVPR), 2024
4 December 2024
Jiongtong Hu
Wei Zhuo
Jun Cheng
Yingying Liu
Wufeng Xue
Dong Ni
ArXiv (abs)PDFHTML

Papers citing "EchoONE: Segmenting Multiple echocardiography Planes in One Model"

29 / 29 papers shown
Title
Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiogramsJournal of Medical Imaging (JMI), 2025
Julian Rene Cuellar Buritica
Vu Dinh
Manjula Burri
Julie Roelandts
James Wendling
Jon D. Klingensmith
238
7
0
12 Mar 2025
VRP-SAM: SAM with Visual Reference Prompt
VRP-SAM: SAM with Visual Reference PromptComputer Vision and Pattern Recognition (CVPR), 2024
Yanpeng Sun
Jiahui Chen
Shan Zhang
Xinyu Zhang
Qiang Chen
Qiang Chen
Gang Zhang
Errui Ding
Jingdong Wang
Zechao Li
419
78
0
27 Feb 2024
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationIEEE International Conference on Multimedia and Expo (ICME), 2024
Zhaozhi Xie
Bochen Guan
Weihao Jiang
Muyang Yi
Yue Ding
Hongtao Lu
Lei Zhang
VLM
219
22
0
23 Jan 2024
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes
  Interactively
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
Haobo Yuan
Xiangtai Li
Chong Zhou
Yining Li
Kai Chen
Chen Change Loy
VLM
245
85
0
05 Jan 2024
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt
  for Segmenting Camouflaged Objects
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged ObjectsAAAI Conference on Artificial Intelligence (AAAI), 2023
Jian Hu
Jiayi Lin
Weitong Cai
Shaogang Gong
VLM
301
53
0
12 Dec 2023
Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained
  Image Foundation Models
Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation ModelsIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Hao Li
Han Liu
Dewei Hu
Jiacheng Wang
I. Oguz
MedIm
137
28
0
30 Oct 2023
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
SurgicalSAM: Efficient Class Promptable Surgical Instrument SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2023
Wenxi Yue
Jing Zhang
Kun Hu
Yong-quan Xia
Jiebo Luo
Zhiyong Wang
VLMMedIm
196
103
0
17 Aug 2023
SAMAug: Point Prompt Augmentation for Segment Anything Model
SAMAug: Point Prompt Augmentation for Segment Anything Model
Haixing Dai
Chong Ma
Zhiling Yan
Zheng Liu
Enze Shi
...
Wen Liu
Shijie Zhao
Lichao Sun
Shu Zhang Tianming Liu
Xiang Li
VLM
323
52
0
03 Jul 2023
The Segment Anything Model (SAM) for Remote Sensing Applications: From
  Zero to One Shot
The Segment Anything Model (SAM) for Remote Sensing Applications: From Zero to One ShotInternational Journal of Applied Earth Observation and Geoinformation (JAEOG), 2023
L. Osco
Qiusheng Wu
Eduardo Lopes de Lemos
W. Gonçalves
A. P. Ramos
Jonathan Li
J. M. Junior
VLM
224
294
0
29 Jun 2023
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation
  based on Visual Foundation Model
RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation ModelIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Keyan Chen
Chenyang Liu
Hao Chen
Haotian Zhang
Wenyuan Li
Zhengxia Zou
Z. Shi
VLM
341
349
0
28 Jun 2023
Ladder Fine-tuning approach for SAM integrating complementary network
Ladder Fine-tuning approach for SAM integrating complementary networkInternational Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), 2023
Shurong Chai
R. Jain
Shiyu Teng
Jiaqing Liu
Yinhao Li
T. Tateyama
Yen-wei Chen
MedIm
139
47
0
22 Jun 2023
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt
  Encoder
AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt EncoderBritish Machine Vision Conference (BMVC), 2023
Tal Shaharabany
Aviad Dahan
Raja Giryes
Lior Wolf
MedImVLM
140
97
0
10 Jun 2023
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
SAM3D: Zero-Shot 3D Object Detection via Segment Anything ModelScience China Information Sciences (Sci China Inf Sci), 2023
Dingyuan Zhang
Dingkang Liang
Hongcheng Yang
Zhikang Zou
Xiaoqing Ye
Yanfeng Guo
Xiang Bai
VLM
225
59
0
04 Jun 2023
Customized Segment Anything Model for Medical Image Segmentation
Customized Segment Anything Model for Medical Image Segmentation
Kaiwen Zhang
Dong Liu
MedImVLM
311
395
0
26 Apr 2023
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image
  Segmentation
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image SegmentationMedical Image Analysis (MIA), 2023
Junde Wu
Rao Fu
Yuanpei Liu
Huihui Fang
Zhao-Yang Wang
Yanwu Xu
Yueming Jin
VLMMedIm
383
710
0
25 Apr 2023
Segment Anything Model for Medical Image Analysis: an Experimental Study
Segment Anything Model for Medical Image Analysis: an Experimental Study
Maciej A. Mazurowski
Haoyu Dong
Han Gu
Jichen Yang
Nicholas Konz
Yixin Zhang
MedImVLM
382
652
0
20 Apr 2023
Segment Anything
Segment AnythingIEEE 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
MLLMVLM
838
10,757
0
05 Apr 2023
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural
  Radiance Fields
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance FieldsComputer Vision and Pattern Recognition (CVPR), 2022
Ashkan Mirzaei
Tristan Aumentado-Armstrong
Konstantinos G. Derpanis
J. Kelly
Marcus A. Brubaker
Igor Gilitschenski
Alex Levinshtein
211
153
0
22 Nov 2022
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation
  with Transformers
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with TransformersInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Ding Liu
Yunhe Gao
Qilong Zhangli
Ligong Han
Xiaoxiao He
...
Song Wen
Qi Chang
Zhennan Yan
Mu Zhou
Dimitris N. Metaxas
MedIm
312
42
0
21 Mar 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViTLM&MAMedIm
272
922
0
24 Jan 2022
Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on
  multi-view cardiac MR Images
Multi-view SA-LA Net: A framework for simultaneous segmentation of RV on multi-view cardiac MR Images
Sana Jabbar
Syed Talha Bukhari
Hassan Mohy-ud-Din
182
7
0
01 Oct 2021
Right Ventricular Segmentation from Short- and Long-Axis MRIs via
  Information Transition
Right Ventricular Segmentation from Short- and Long-Axis MRIs via Information Transition
Lei Li
Wangbin Ding
Liqun Huang
Xiahai Zhuang
141
13
0
05 Sep 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Hu Cao
Yueyue Wang
Jieneng Chen
Dongsheng Jiang
Xiaopeng Zhang
Qi Tian
Manning Wang
ViTMedIm
319
4,035
0
12 May 2021
Multi-View Radar Semantic Segmentation
Multi-View Radar Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2021
Arthur Ouaknine
A. Newson
P. Pérez
F. Tupin
Julien Rebut
246
90
0
30 Mar 2021
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute
  Myocardial Infarction Detection
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction DetectionIEEE Access (IEEE Access), 2020
S. Kiranyaz
A. Degerli
Tahir Hamid
Rashid Mazhar
Rayyan El Fadil Ahmed
Rayaan Abouhasera
M. Zabihi
Junaid Malik
R. Hamila
Moncef Gabbouj
123
41
0
11 Aug 2020
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
954
15,159
0
07 Feb 2018
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
551
9,843
0
15 Jun 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.6K
214,937
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
2.9K
88,192
0
18 May 2015
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