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:
Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation
Rushi Jiao, Yichi Zhang, Le Ding, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107840-107840
Open Access | Times Cited: 112
Rushi Jiao, Yichi Zhang, Le Ding, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107840-107840
Open Access | Times Cited: 112
Showing 1-25 of 112 citing articles:
How Segment Anything Model (Sam) Boost Medical Image Segmentation: A Survey
Yichi Zhang, Rushi Jiao
(2023)
Closed Access | Times Cited: 96
Yichi Zhang, Rushi Jiao
(2023)
Closed Access | Times Cited: 96
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: 53
Yichi Zhang, Zhenrong Shen, Rushi Jiao
Computers in Biology and Medicine (2024) Vol. 171, pp. 108238-108238
Open Access | Times Cited: 53
Deep semi-supervised learning for medical image segmentation: A review
Kai Han, Victor S. Sheng, Yuqing Song, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123052-123052
Closed Access | Times Cited: 36
Kai Han, Victor S. Sheng, Yuqing Song, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123052-123052
Closed Access | Times Cited: 36
2MGAS-Net: multi-level multi-scale gated attentional squeezed network for polyp segmentation
Ibtissam Bakkouri, Siham Bakkouri
Signal Image and Video Processing (2024) Vol. 18, Iss. 6-7, pp. 5377-5386
Closed Access | Times Cited: 29
Ibtissam Bakkouri, Siham Bakkouri
Signal Image and Video Processing (2024) Vol. 18, Iss. 6-7, pp. 5377-5386
Closed Access | Times Cited: 29
Mutual learning with reliable pseudo label for semi-supervised medical image segmentation
Jiawei Su, Zhiming Luo, Sheng Lian, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103111-103111
Closed Access | Times Cited: 25
Jiawei Su, Zhiming Luo, Sheng Lian, et al.
Medical Image Analysis (2024) Vol. 94, pp. 103111-103111
Closed Access | Times Cited: 25
A survey on semi-supervised graph clustering
Fatemeh Daneshfar, Sayvan Soleymanbaigi, P. Yamini, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108215-108215
Closed Access | Times Cited: 17
Fatemeh Daneshfar, Sayvan Soleymanbaigi, P. Yamini, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108215-108215
Closed Access | Times Cited: 17
Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation
Yichi Zhang, Rushi Jiao, Qingcheng Liao, et al.
Artificial Intelligence in Medicine (2022) Vol. 138, pp. 102476-102476
Open Access | Times Cited: 45
Yichi Zhang, Rushi Jiao, Qingcheng Liao, et al.
Artificial Intelligence in Medicine (2022) Vol. 138, pp. 102476-102476
Open Access | Times Cited: 45
Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI
Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 27
Joeran S. Bosma, Anindo Saha, Matin Hosseinzadeh, et al.
Radiology Artificial Intelligence (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 27
A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Blake VanBerlo, Jesse Hoey, Alexander Wong
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Blake VanBerlo, Jesse Hoey, Alexander Wong
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Towards more precise automatic analysis: a systematic review of deep learning-based multi-organ segmentation
Xiaoyu Liu, Linhao Qu, Ziyue Xie, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Xiaoyu Liu, Linhao Qu, Ziyue Xie, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 7
UCM-Net: A lightweight and efficient solution for skin lesion segmentation using MLP and CNN
Chunyu Yuan, Dongfang Zhao, Sos С. Agaian
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106573-106573
Open Access | Times Cited: 7
Chunyu Yuan, Dongfang Zhao, Sos С. Agaian
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106573-106573
Open Access | Times Cited: 7
Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI
Wenxia Wu, Jing Yan, Yuanshen Zhao, et al.
Displays (2023) Vol. 78, pp. 102402-102402
Closed Access | Times Cited: 19
Wenxia Wu, Jing Yan, Yuanshen Zhao, et al.
Displays (2023) Vol. 78, pp. 102402-102402
Closed Access | Times Cited: 19
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
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
Segmenting medical images with limited data
Zhaoshan Liu, Qiujie Lv, Chau Hung Lee, et al.
Neural Networks (2024) Vol. 177, pp. 106367-106367
Open Access | Times Cited: 5
Zhaoshan Liu, Qiujie Lv, Chau Hung Lee, et al.
Neural Networks (2024) Vol. 177, pp. 106367-106367
Open Access | Times Cited: 5
Tensor dimensionality reduction and co-training method for semi-supervised segmentation of microscopic hyperspectral pathology images
Hongmin Gao, Huaiyuan Wang, Shuyu Fei, et al.
Optics & Laser Technology (2025) Vol. 183, pp. 112385-112385
Closed Access
Hongmin Gao, Huaiyuan Wang, Shuyu Fei, et al.
Optics & Laser Technology (2025) Vol. 183, pp. 112385-112385
Closed Access
Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
L. Yan, Liangrui Pan, Yijun Peng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109972-109972
Closed Access
Own-background contrastive learning guided by pseudo-label for semi-supervised medical image segmentation
Huijie Fan, Jinghan Cao, Xi’ai Chen, et al.
Applied Soft Computing (2025), pp. 112749-112749
Closed Access
Huijie Fan, Jinghan Cao, Xi’ai Chen, et al.
Applied Soft Computing (2025), pp. 112749-112749
Closed Access
Benefit from public unlabeled data: A Frangi filter-based pretraining network for 3D cerebrovascular segmentation
Gen Shi, Lu Hao, Hui Hui, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103442-103442
Closed Access
Gen Shi, Lu Hao, Hui Hui, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103442-103442
Closed Access
BSF-Net: Balancing small foreground regions for semi-supervised segmentation of MRI
Hailan Shen, Yudi Wang, Zailiang Chen, et al.
Optics & Laser Technology (2025), pp. 112422-112422
Closed Access
Hailan Shen, Yudi Wang, Zailiang Chen, et al.
Optics & Laser Technology (2025), pp. 112422-112422
Closed Access
Multi-task Heterogeneous Framework for Semi-supervised Medical Image Segmentation
Jinghan Cao, Huijie Fan, Shengpeng Fu, et al.
Lecture notes in computer science (2025), pp. 77-88
Closed Access
Jinghan Cao, Huijie Fan, Shengpeng Fu, et al.
Lecture notes in computer science (2025), pp. 77-88
Closed Access
Rectal tumor segmentation via spatial contextual enrichment and uncertainty-rectified hybrid Semi-Supervised learning
Huiting Zhang, Xiaotang Yang, Shuang Qiu, et al.
Expert Systems with Applications (2025), pp. 126640-126640
Closed Access
Huiting Zhang, Xiaotang Yang, Shuang Qiu, et al.
Expert Systems with Applications (2025), pp. 126640-126640
Closed Access
Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study
Rongxue Shan, Chenhao Pei, Qianrui Fan, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Rongxue Shan, Chenhao Pei, Qianrui Fan, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
A method framework of cruciate ligaments segmentation and reconstruction from MRI images
Ahsan Humayun, Bin Liu, Mustafain Rehman, et al.
Technology and Health Care (2025)
Closed Access
Ahsan Humayun, Bin Liu, Mustafain Rehman, et al.
Technology and Health Care (2025)
Closed Access
Semi-Supervised Learning, Foundation Models and Image Processing for Pleural Line Detection and Segmentation in Lung Ultrasound
David Valensi, Lior Lupu, D. Adam, et al.
(2025)
Closed Access
David Valensi, Lior Lupu, D. Adam, et al.
(2025)
Closed Access
MCU-RE: Integrating visual state space and local dependencies for retinal edema segmentation
Limai Jiang, Yunpeng Cai
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107519-107519
Closed Access
Limai Jiang, Yunpeng Cai
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107519-107519
Closed Access
