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Title
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts Assefa Seyoum Wahd B. Felfeliyan Yuyue Zhou Shrimanti Ghosh Adam McArthur Jiechen Zhang Jacob L. Jaremko A. Hareendranathan VLM MedIm 199 6 0 10 Sep 2024
Curriculum Prompting Foundation Models for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Xiuqi Zheng Yuhang Zhang Haoran Zhang Hongrui Liang Xueqi Bao Zhuqing Jiang Qicheng Lao VLM MedIm 102 3 0 01 Sep 2024
Image Segmentation in Foundation Model Era: A Survey Tianfei Zhou Fei Zhang Boyu Chang Wenguan Wang Ye Yuan E. Konukoglu Daniel Cremers VLM 395 27 0 23 Aug 2024
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO F. Mumuni A. Mumuni VLM 420 1 0 27 Jun 2024
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain Kuan-I Chung Daniel Moyer VLM 141 0 0 24 Apr 2024
Deep Interactive Segmentation of Medical Images: A Systematic Review and TaxonomyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Zdravko Marinov Paul F. Jäger Jan Egger Jens Kleesiek Rainer Stiefelhagen 212 32 0 23 Nov 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration Yixing Huang Christoph Bert Rostislav Makarov Alexander Alenin Andreas Maier F. Putz FedML CLL 273 3 0 29 Sep 2023
SAM-Med2D Junlong Cheng Jin Ye Zhongying Deng Jianpin Chen Tian-Xin Li ... Hui Sun Junjun He Shaoting Zhang Min Zhu Yu Qiao MedIm VLM 218 183 0 30 Aug 2023
$$\mathrm{SAM^{Med}}$: A medical image annotation framework based on large vision model$ $\mathrm{SAM^{Med}}$ : A medical image annotation framework based on large vision model Chenglong Wang Dexuan Li Sucheng Wang Chengxiu Zhang Yida Wang Yao Xiao Guang Yang VLM MedIm 197 22 0 11 Jul 2023
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object SegmentationNeural Networks (Neural Netw.), 2023 Yonglin Li Jing Zhang Xiao Teng Long Lan VOS VLM 190 24 0 03 Jul 2023
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN EmbeddingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Amr Hagag A. Gomaa Dominik Kornek Andreas Maier R. Fietkau Christoph Bert F. Putz Yixing Huang 3DH MedIm 143 4 0 26 Jun 2023
Segment Anything Model (SAM) for Radiation Oncology Hua Zhou Zheng Liu Lu Zhang Zihao Wu Xiao-Xing Yu ... Xiang Li Shijie Zhao Dajiang Zhu Tianming Liu Wen Liu VLM MedIm 251 37 0 20 Jun 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 372 127 0 14 May 2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes D. Cheng Ziyuan Qin Zekun Jiang Shaoting Zhang Qicheng Lao Kang Li MedIm VLM 353 121 0 28 Apr 2023

Title

Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts

199

10 Sep 2024

Curriculum Prompting Foundation Models for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024

Xiuqi Zheng

102

01 Sep 2024

Image Segmentation in Foundation Model Era: A Survey

395

23 Aug 2024

Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO

F. Mumuni

A. Mumuni

VLM

420

27 Jun 2024

Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain

Kuan-I Chung

Daniel Moyer

VLM

141

24 Apr 2024

Deep Interactive Segmentation of Medical Images: A Systematic Review and TaxonomyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

Paul F. Jäger

212

23 Nov 2023

A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration

273

29 Sep 2023

Jin Ye

...

Yu Qiao

218

183

30 Aug 2023

$$\mathrm{SAM^{Med}}$: A medical image annotation framework based on large vision model$

\mathrm{SAM^{Med}}

: A medical image annotation framework based on large vision model

Guang Yang

197

11 Jul 2023

RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object SegmentationNeural Networks (Neural Netw.), 2023

190

03 Jul 2023

Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN EmbeddingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023

143

26 Jun 2023

Segment Anything Model (SAM) for Radiation Oncology

Lu Zhang

...

Xiang Li

Shijie Zhao

Dajiang Zhu

Tianming Liu

Wen Liu

VLM MedIm

251

20 Jun 2023

A Comprehensive Survey on Segment Anything Model for Vision and Beyond

372

127

14 May 2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

353

121

28 Apr 2023

Title
Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts Assefa Seyoum Wahd B. Felfeliyan Yuyue Zhou Shrimanti Ghosh Adam McArthur Jiechen Zhang Jacob L. Jaremko A. Hareendranathan VLM MedIm 199 6 0 10 Sep 2024
Curriculum Prompting Foundation Models for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Xiuqi Zheng Yuhang Zhang Haoran Zhang Hongrui Liang Xueqi Bao Zhuqing Jiang Qicheng Lao VLM MedIm 102 3 0 01 Sep 2024
Image Segmentation in Foundation Model Era: A Survey Tianfei Zhou Fei Zhang Boyu Chang Wenguan Wang Ye Yuan E. Konukoglu Daniel Cremers VLM 395 27 0 23 Aug 2024
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO F. Mumuni A. Mumuni VLM 420 1 0 27 Jun 2024
Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain Kuan-I Chung Daniel Moyer VLM 141 0 0 24 Apr 2024
Deep Interactive Segmentation of Medical Images: A Systematic Review and TaxonomyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Zdravko Marinov Paul F. Jäger Jan Egger Jens Kleesiek Rainer Stiefelhagen 212 32 0 23 Nov 2023
A Survey of Incremental Transfer Learning: Combining Peer-to-Peer Federated Learning and Domain Incremental Learning for Multicenter Collaboration Yixing Huang Christoph Bert Rostislav Makarov Alexander Alenin Andreas Maier F. Putz FedML CLL 273 3 0 29 Sep 2023
SAM-Med2D Junlong Cheng Jin Ye Zhongying Deng Jianpin Chen Tian-Xin Li ... Hui Sun Junjun He Shaoting Zhang Min Zhu Yu Qiao MedIm VLM 218 183 0 30 Aug 2023
$$\mathrm{SAM^{Med}}$: A medical image annotation framework based on large vision model$ $\mathrm{SAM^{Med}}$ : A medical image annotation framework based on large vision model Chenglong Wang Dexuan Li Sucheng Wang Chengxiu Zhang Yida Wang Yao Xiao Guang Yang VLM MedIm 197 22 0 11 Jul 2023
RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object SegmentationNeural Networks (Neural Netw.), 2023 Yonglin Li Jing Zhang Xiao Teng Long Lan VOS VLM 190 24 0 03 Jul 2023
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN EmbeddingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Amr Hagag A. Gomaa Dominik Kornek Andreas Maier R. Fietkau Christoph Bert F. Putz Yixing Huang 3DH MedIm 143 4 0 26 Jun 2023
Segment Anything Model (SAM) for Radiation Oncology Hua Zhou Zheng Liu Lu Zhang Zihao Wu Xiao-Xing Yu ... Xiang Li Shijie Zhao Dajiang Zhu Tianming Liu Wen Liu VLM MedIm 251 37 0 20 Jun 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 372 127 0 14 May 2023
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes D. Cheng Ziyuan Qin Zekun Jiang Shaoting Zhang Qicheng Lao Kang Li MedIm VLM 353 121 0 28 Apr 2023

Title

Sam2Rad: A Segmentation Model for Medical Images with Learnable Prompts

199