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:

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
Veronika Cheplygina, Marleen de Bruijne, Josien P. W. Pluim
Medical Image Analysis (2019) Vol. 54, pp. 280-296
Open Access | Times Cited: 769

Showing 26-50 of 769 citing articles:

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
Dong Yang, Ziyue Xu, Wenqi Li, et al.
Medical Image Analysis (2021) Vol. 70, pp. 101992-101992
Open Access | Times Cited: 210
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation
Yingda Xia, Dong Yang, Zhiding Yu, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101766-101766
Open Access | Times Cited: 204
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Jun Li, Junyu Chen, Yucheng Tang, et al.
Medical Image Analysis (2023) Vol. 85, pp. 102762-102762
Open Access | Times Cited: 186
A Survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje, Monty Santarossa, Simon‐Martin Schröder, et al.
IEEE Access (2021) Vol. 9, pp. 82146-82168
Open Access | Times Cited: 174
Radiological images and machine learning: Trends, perspectives, and prospects
Zhenwei Zhang, Ervin Sejdić
Computers in Biology and Medicine (2019) Vol. 108, pp. 354-370
Open Access | Times Cited: 173
Kvasir-Capsule, a video capsule endoscopy dataset
Pia H. Smedsrud, Vajira Thambawita, Steven A. Hicks, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 172
A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions
Supriya V. Mahadevkar, Bharti Khemani, Shruti Patil, et al.
IEEE Access (2022) Vol. 10, pp. 107293-107329
Open Access | Times Cited: 164
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan, Mingxia Liu
IEEE Transactions on Biomedical Engineering (2021) Vol. 69, Iss. 3, pp. 1173-1185
Open Access | Times Cited: 160
Disentangled representation learning in cardiac image analysis
Agisilaos Chartsias, T. A. Joyce, Giorgos Papanastasiou, et al.
Medical Image Analysis (2019) Vol. 58, pp. 101535-101535
Open Access | Times Cited: 157
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt‐Aristizabal, Mohammad Ali Armin, Simon Denman, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4758-4758
Open Access | Times Cited: 157
RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning
Xueyan Mei, Zelong Liu, Philip M. Robson, et al.
Radiology Artificial Intelligence (2022) Vol. 4, Iss. 5
Open Access | Times Cited: 156
Applications of artificial intelligence and deep learning in molecular imaging and radiotherapy
Hossein Arabi, Habib Zaidi
European Journal of Hybrid Imaging (2020) Vol. 4, Iss. 1
Open Access | Times Cited: 154
Semi-supervised Medical Image Segmentation via Learning Consistency Under Transformations
Gerda Bortsova, Florian Dubost, Laurens Hogeweg, et al.
Lecture notes in computer science (2019), pp. 810-818
Closed Access | Times Cited: 152
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. S2
Open Access | Times Cited: 150
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Yingda Xia, Fengze Liu, Dong Yang, et al.
(2020), pp. 3635-3644
Open Access | Times Cited: 148
Advanced machine-learning techniques in drug discovery
Moe Elbadawi, Simon Gaisford, Abdul W. Basit
Drug Discovery Today (2020) Vol. 26, Iss. 3, pp. 769-777
Open Access | Times Cited: 138
Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 127
Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging
Gelan Ayana, Kokeb Dese, Se‐woon Choe
Cancers (2021) Vol. 13, Iss. 4, pp. 738-738
Open Access | Times Cited: 123
Applications of artificial intelligence in cardiovascular imaging
Maxime Sermesant, Hervé Delingette, Hubert Cochet, et al.
Nature Reviews Cardiology (2021) Vol. 18, Iss. 8, pp. 600-609
Closed Access | Times Cited: 120
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: 120
End-to-end prostate cancer detection in bpMRI via 3D CNNs: Effects of attention mechanisms, clinical priori and decoupled false positive reduction
Anindo Saha, Matin Hosseinzadeh, Henkjan Huisman
Medical Image Analysis (2021) Vol. 73, pp. 102155-102155
Open Access | Times Cited: 117
Multi-Modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
Jong Hak Moon, Hyungyung Lee, Woncheol Shin, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 6070-6080
Open Access | Times Cited: 111
Harnessing non-destructive 3D pathology
Jonathan Liu, Adam K. Glaser, Kaustav Bera, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 3, pp. 203-218
Open Access | Times Cited: 110
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations
Davood Karimi, Simon K. Warfield, Ali Gholipour
Artificial Intelligence in Medicine (2021) Vol. 116, pp. 102078-102078
Open Access | Times Cited: 107
Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
Yuandong Lin, Ji Ma, Qijun Wang, et al.
Critical Reviews in Food Science and Nutrition (2022) Vol. 63, Iss. 12, pp. 1649-1669
Closed Access | Times Cited: 99

Scroll to top