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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:

Models Genesis
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101840-101840
Open Access | Times Cited: 203

Showing 1-25 of 203 citing articles:

The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102680-102680
Open Access | Times Cited: 703
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen, Ximin Wang, Ke Zhang, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102444-102444
Open Access | Times Cited: 538
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang, Dong Yang, Wenqi Li, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20698-20708
Open Access | Times Cited: 427
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21095-21107
Closed Access | Times Cited: 111
CaraNet: context axial reverse attention network for segmentation of small medical objects
Ange Lou, Shuyue Guan, Hanseok Ko, et al.
Medical Imaging 2022: Image Processing (2022)
Open Access | Times Cited: 107
CaraNet: context axial reverse attention network for segmentation of small medical objects
Ange Lou, Shuyue Guan, Murray H. Loew
Journal of Medical Imaging (2023) Vol. 10, Iss. 01
Open Access | Times Cited: 76
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan, Liangqiong Qu, Qingyue Wei, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 7, pp. 1932-1943
Open Access | Times Cited: 74
Generalized radiograph representation learning via cross-supervision between images and free-text radiology reports
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 1, pp. 32-40
Open Access | Times Cited: 72
Knowledge-enhanced visual-language pre-training on chest radiology images
Xiaoman Zhang, Chaoyi Wu, Ya Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 62
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation
Xin Yu, Qi Yang, Yinchi Zhou, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102939-102939
Open Access | Times Cited: 51
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Junfei Xiao, Yutong Bai, Alan Yuille, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 3577-3589
Open Access | Times Cited: 48
Label-Free Liver Tumor Segmentation
Qixin Hu, Yixiong Chen, Junfei Xiao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 7422-7432
Open Access | Times Cited: 44
A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 43
Hybrid Masked Image Modeling for 3D Medical Image Segmentation
Zhaohu Xing, Lei Zhu, Lequan Yu, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2115-2125
Open Access | Times Cited: 30
Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets
Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011890-e1011890
Open Access | Times Cited: 15
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Zongwei Zhou, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 10, pp. 2857-2868
Open Access | Times Cited: 96
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20792-20802
Open Access | Times Cited: 59
Mitigating Bias in Radiology Machine Learning: 2. Model Development
Kuan Zhang, Bardia Khosravi, Sanaz Vahdati, et al.
Radiology Artificial Intelligence (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 56
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images
Ke Yan, Jinzheng Cai, Dakai Jin, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 10, pp. 2658-2669
Open Access | Times Cited: 47
Self-Supervised Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT
Hong Huang, Ruoyu Wu, Yuan Li, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 8, pp. 3860-3871
Closed Access | Times Cited: 45
LE-UDA: Label-Efficient Unsupervised Domain Adaptation for Medical Image Segmentation
Ziyuan Zhao, Fangcheng Zhou, Kaixin Xu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 3, pp. 633-646
Open Access | Times Cited: 41
Towards label-efficient automatic diagnosis and analysis: a comprehensive survey of advanced deep learning-based weakly-supervised, semi-supervised and self-supervised techniques in histopathological image analysis
Linhao Qu, Siyu Liu, Xiaoyu Liu, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 20, pp. 20TR01-20TR01
Open Access | Times Cited: 38
Dive into the details of self-supervised learning for medical image analysis
Chuyan Zhang, Hao Zheng, Yun Gu
Medical Image Analysis (2023) Vol. 89, pp. 102879-102879
Closed Access | Times Cited: 36
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
Tiange Xiang, Yixiao Zhang, Yongyi Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 23890-23901
Open Access | Times Cited: 32
A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-16
Closed Access | Times Cited: 31
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