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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:

Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review
Leying Zhang, Xiaokang Deng, Lu Yu
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

SAM3D: Segment Anything Model in Volumetric Medical Images
Nhat-Tan Bui, Dinh-Hieu Hoang, Minh–Triet Tran, et al.
(2024), pp. 1-4
Open Access | Times Cited: 15
Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models
Hao Li, Han Liu, Dewei Hu, et al.
(2024), pp. 1-5
Open Access | Times Cited: 11
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han, Jiangning Zhang, Yabiao Wang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 12, pp. 9221-9238
Open Access | Times Cited: 8
I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
Trong Thang Pham, Jacob Brecheisen, Anh Phong Nguyen, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7835-7844
Closed Access | Times Cited: 7
Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts
Hao Li, Han Liu, Dewei Hu, et al.
(2024), pp. 1-5
Open Access | Times Cited: 7
Ultrastructure of astrocytes using volume electron microscopy: A scoping review
Vanessa Chiappini, María Fernanda Veloz Castillo, Francesco Biancardi, et al.
The Journal of Physiology (2025)
Open Access
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
Tianang Leng, Y. T. Zhang, Kun Han, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7910-7920
Open Access | Times Cited: 4
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage Segmentation
Yinuo Wang, Kai Chen, Weimin Yuan, et al.
(2024), pp. 1-5
Open Access | Times Cited: 4
Generative AI in Medical Imaging
Azadeh Tabatabaei, Armin ZadZiabari
(2025), pp. 1-33
Closed Access
SAM-OCTA: A Fine-Tuning Strategy for Applying Foundation Model OCTA Image Segmentation Tasks
Chengliang Wang, Xinrun Chen, Haojian Ning, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1771-1775
Open Access | Times Cited: 2
Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation
Mohammad Peivandi, Jason Zhang, Michael T. Lu, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
Blood Clot Image Segmentation Using Segment Anything Model
Nupur Yadav, Shilpee Srivastava, Nikhil Sriwastav, et al.
(2024), pp. 476-481
Closed Access
G-SAM: GMM-based segment anything model for medical image classification and segmentation
Xiaoxiao Liu, Yan Zhao, Shigang Wang, et al.
Cluster Computing (2024) Vol. 27, Iss. 10, pp. 14231-14245
Closed Access
Boosting Medical Image Classification with Segmentation Foundation Model
Pengfei Gu, Zihan Zhao, Hongxiao Wang, et al.
(2024), pp. 1-5
Open Access
Text Knowledge-Guided Segment Anything Model for Medical Image Segmentation
Young Woon Kim, Hyunjun Cho, Sung-Jea Ko, et al.
(2024), pp. 1-4
Closed Access
Harnessing the Potential of Advanced Large Vision Models to Enhance the Detection of Optoelectronic Imaging Signals
Dunyou Liang, Xin Chang, Feng Peng, et al.
(2024) Vol. 59, pp. 1-3
Closed Access
Segment Anything in Food Images
Saeed Alahmari, Michael R. Gardner, Tawfiq Salem
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024), pp. 3715-3720
Closed Access
SAMP: Adapting Segment Anything Model for Pose Estimation
Zhihang Zhu, Yunfeng Yan, Yi Chen, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2024), pp. 1-7
Closed Access
Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision
Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert
Lecture notes in computer science (2024), pp. 61-70
Closed Access
Segment Anything Model (SAM) to Segment lymphocyte from Blood Smear Images
Ashwini P. Patil, Manjunatha Hiremath
(2024), pp. 1080-1084
Closed Access
Vitiligo Image Segmentation Using Segment Anything Model
Sneha Torgal, Neha Dhariwal, Nupur Yadav
(2024), pp. 142-147
Closed Access
分割一切模型（SAM）在医学图像分割中的应用
吴曈 Wu Tong, 胡浩基 Hu Haoji, 冯洋 Feng Yang, et al.
Chinese Journal of Lasers (2024) Vol. 51, Iss. 21, pp. 2107102-2107102
Closed Access
Critical View of Safety Assessment in Laparoscopic Cholecystectomy via Segment Anything Model
Yunfan Li, Haibin Ling, I. V. Ramakrishnan, et al.
(2024), pp. 1-6
Closed Access
Semantic AutoSAM: Self-Prompting Segment Anything Model for Semantic Segmentation of Medical Images
Assefa Seyoum Wahd, Jessica Küpper, Jacob L. Jaremko, et al.
(2024), pp. 1-4
Closed Access
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models
Hedda Cohen Indelman, Elay Dahan, Angeles M. Perez-Agosto, et al.
(2024), pp. 1-7
Closed Access
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