Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data
Nima Tajbakhsh, Yufei Hu, Junli Cao, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2019), pp. 1251-1255
Open Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101693-101693
Open Access | Times Cited: 719
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, et al.
Lecture notes in computer science (2019), pp. 384-393
Open Access | Times Cited: 274
Models Genesis
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101840-101840
Open Access | Times Cited: 203
Self-supervised learning methods and applications in medical imaging analysis: a survey
Saeed Shurrab, Rehab Duwairi
PeerJ Computer Science (2022) Vol. 8, pp. e1045-e1045
Open Access | Times Cited: 149
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
Wenjia Bai, Chen Chen, Giacomo Tarroni, et al.
Lecture notes in computer science (2019), pp. 541-549
Closed Access | Times Cited: 144
3D Self-Supervised Methods for Medical Imaging
Aiham Taleb, Winfried Loetzsch, Noel Danz, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 118
Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis
Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, et al.
IEEE Transactions on Medical Imaging (2020) Vol. 39, Iss. 12, pp. 4023-4033
Open Access | Times Cited: 111
Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis
Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 9, pp. 2284-2294
Closed Access | Times Cited: 75
Multimodal Self-supervised Learning for Medical Image Analysis
Aiham Taleb, Christoph Lippert, Tassilo Klein, et al.
Lecture notes in computer science (2021), pp. 661-673
Closed Access | Times Cited: 72
Medical Image Segmentation With Limited Supervision: A Review of Deep Network Models
Jialin Peng, Ye Wang
IEEE Access (2021) Vol. 9, pp. 36827-36851
Open Access | Times Cited: 60
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan, et al.
Medical Physics (2022) Vol. 50, Iss. 2
Open Access | Times Cited: 54
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
Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation
Jiaojiao Zhang, Shuo Zhang, Xiaoqian Shen, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 76-95
Open Access | Times Cited: 27
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang, Euijoon Ahn, Dagan Feng, et al.
Deleted Journal (2023) Vol. 20, Iss. 4, pp. 483-513
Open Access | Times Cited: 24
Large-Scale assessment of ChatGPT's performance in benign and malignant bone tumors imaging report diagnosis and its potential for clinical applications
Fan Yang, Yan Dong, Zhixiang Wang
Journal of bone oncology (2024) Vol. 44, pp. 100525-100525
Open Access | Times Cited: 12
Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations
Alexander Chowdhury, Jacob Rosenthal, Jonathan Waring, et al.
Informatics (2021) Vol. 8, Iss. 3, pp. 59-59
Open Access | Times Cited: 45
A Review of Self-supervised Learning Methods in the Field of Medical Image Analysis
Jiashu Xu
International Journal of Image Graphics and Signal Processing (2021) Vol. 13, Iss. 4, pp. 33-46
Open Access | Times Cited: 41
ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics
Aiham Taleb, Matthias Kirchler, Remo Monti, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 20876-20889
Open Access | Times Cited: 33
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps
Dwarikanath Mahapatra, Zongyuan Ge, Mauricio Reyes
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2443-2456
Closed Access | Times Cited: 31
Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations
Marc Fischer, Tobias Hepp, Sergios Gatidis, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 104, pp. 102174-102174
Closed Access | Times Cited: 17
Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation
Nima Tajbakhsh, Jae Y. Shin, Michael B. Gotway, et al.
Medical Image Analysis (2019) Vol. 58, pp. 101541-101541
Open Access | Times Cited: 49
Contrastive learning of global and local features for medical image segmentation with limited annotations
Krishna Chaitanya, Ertunç Erdil, Neerav Karani, et al.
(2020)
Closed Access | Times Cited: 48
Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance
Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean‐Philippe Thiran, et al.
Lecture notes in computer science (2020), pp. 309-319
Closed Access | Times Cited: 41
A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation
Qinji Yu, Kang Dang, Nima Tajbakhsh, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021)
Open Access | Times Cited: 35
Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification
Aiham Taleb, Csaba Rohrer, Benjamin Bergner, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1237-1237
Open Access | Times Cited: 25
Page 1 - Next Page

Scroll to top