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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation
Cheng Chen, Juzheng Miao, Dufan Wu, et al.
Medical Image Analysis (2024) Vol. 98, pp. 103310-103310
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Segment anything model for medical images?
Yuhao Huang, Xin Yang, Lian Liu, et al.
Medical Image Analysis (2023) Vol. 92, pp. 103061-103061
Open Access | Times Cited: 184
On the challenges and perspectives of foundation models for medical image analysis
Shaoting Zhang, Dimitris Metaxas
Medical Image Analysis (2023) Vol. 91, pp. 102996-102996
Open Access | Times Cited: 56
Segment anything model for medical image segmentation: Current applications and future directions
Yichi Zhang, Zhenrong Shen, Rushi Jiao
Computers in Biology and Medicine (2024) Vol. 171, pp. 108238-108238
Open Access | Times Cited: 55
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Shizhan Gong, 遠藤 忠, Wenao Ma, et al.
Medical Image Analysis (2024) Vol. 98, pp. 103324-103324
Closed Access | Times Cited: 22
A Survey of AI-Generated Content (AIGC)
Y. Charles Cao, S. H. Li, Yixin Liu, et al.
ACM Computing Surveys (2024)
Open Access | Times Cited: 17
An Armature Defect Self-Adaptation Quantitative Assessment System Based on Improved YOLO11 and the Segment Anything Model
Yangyong Dai, Xia Fang
Processes (2025) Vol. 13, Iss. 2, pp. 532-532
Open Access | Times Cited: 1
Medical SAM adapter: Adapting segment anything model for medical image segmentation
Junde Wu, Ziyue Wang, Mingxuan Hong, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103547-103547
Open Access | Times Cited: 1
Open-Vocabulary SAM: Segment and Recognize Twenty-Thousand Classes Interactively
Haobo Yuan, Xiangtai Li, Chong Zhou, et al.
Lecture notes in computer science (2024), pp. 419-437
Closed Access | Times Cited: 11
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation
Shiman Li, Haoran Wang, Yucong Meng, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 5
Leveraging labelled data knowledge: A cooperative rectification learning network for semi-supervised 3D medical image segmentation
Yanyan Wang, Kechen Song, Yuyuan Liu, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103461-103461
Open Access
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 11386-11397
Closed Access | Times Cited: 4
Taming Large Vision Model for Medical Image Segmentation Via Dual Visual Prompting
Ruize Cui, Lanqing Liu, Jing Zou, et al.
(2025)
Closed Access
A Federated Learning-Friendly Approach for Parameter-Efficient Fine-Tuning of SAM in 3D Segmentation
Mothilal Asokan, Joseph Geo Benjamin, Mohammad Yaqub, et al.
Lecture notes in computer science (2025), pp. 226-235
Closed Access
Optimizing MR-based attenuation correction in hybrid PET/MR using deep learning: validation with a flatbed insert and consistent patient positioning
Hanzhong Wang, Yue Wang, Qiaoyi Xue, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2025)
Closed Access
MedficientSAM: A Robust Medical Segmentation Model with Optimized Inference Pipeline for Limited Clinical Settings
Bao Ngoc Thi Le, Dang-Khoa Nguyen-Vu, Trong-Hieu Nguyen-Mau, et al.
Lecture notes in computer science (2025), pp. 1-14
Closed Access
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts
Hao Li, Han Liu, Dewei Hu, et al.
Lecture notes in computer science (2024), pp. 389-399
Closed Access | Times Cited: 3
SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation
Juzheng Miao, Si-Ping Zhou, Guangquan Zhou, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 4, pp. 1347-1364
Closed Access | Times Cited: 10
Performance Evaluation of Retinal OCT Fluid Segmentation, Detection, and Generalization Over Variations of Data Sources
Nchongmaje Ndipenoch, Alina Miron, Yongmin Li
IEEE Access (2024) Vol. 12, pp. 31719-31735
Open Access | Times Cited: 3
3D reconstruction of arbitrary granular media utilizing vision foundation model
Ruidong Li, Zhen‐Yu Yin, Shao-Heng He
Applied Soft Computing (2024) Vol. 169, pp. 112599-112599
Closed Access | Times Cited: 3
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking
Wenxuan Li, Chongyu Qu, Xiaoxi Chen, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103285-103285
Closed Access | Times Cited: 2
CDSG-SAM: A cross-domain self-generating prompt few-shot brain tumor segmentation pipeline based on SAM
Yang Yang, Xianjin Fang, Xiang Li, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106936-106936
Closed Access | Times Cited: 2
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Juzheng Miao, Cheng Chen, Keli Zhang, et al.
Lecture notes in computer science (2024), pp. 167-177
Closed Access | Times Cited: 2
Exploring Segment Anything Model Applications for Medical Imaging
Laila El Jiani, Sanaa El Filali, El Habib Benlahmar
(2024), pp. 1-6
Closed Access
CVD_Net: Head and Neck Tumor Segmentation and Generalization in PET/CT Scans Across Data from Multiple Medical Centers
Nchongmaje Ndipenoch, Alina Miron, Ke‐Zhi Wang, et al.
Lecture notes in computer science (2024), pp. 64-76
Closed Access
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images
Hualiang Wang, Yiqun Lin, Xinpeng Ding, et al.
Lecture notes in computer science (2024), pp. 636-646
Closed Access
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