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:

Addressing class imbalance in deep learning for small lesion detection on medical images
Alessandro Bria, Claudio Marrocco, Francesco Tortorella
Computers in Biology and Medicine (2020) Vol. 120, pp. 103735-103735
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
Azal Ahmad Khan, Omkar Chaudhari, Rohitash Chandra
Expert Systems with Applications (2023) Vol. 244, pp. 122778-122778
Open Access | Times Cited: 116
Convolutional neural networks for breast cancer detection in mammography: A survey
Leila Abdelrahman, Manal Alghamdi, Fernando Collado‐Mesa, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104248-104248
Closed Access | Times Cited: 115
Deep learning-based automated detection for diabetic retinopathy and diabetic macular oedema in retinal fundus photographs
Feng Li, Yuguang Wang, Tianyi Xu, et al.
Eye (2021) Vol. 36, Iss. 7, pp. 1433-1441
Open Access | Times Cited: 104
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward
Eyad Elyan, Pattaramon Vuttipittayamongkol, Pamela Johnston, et al.
Artificial Intelligence Surgery (2022)
Open Access | Times Cited: 88
SMOTified-GAN for Class Imbalanced Pattern Classification Problems
Anurag Sharma, Prabhat Kumar Singh, Rohitash Chandra
IEEE Access (2022) Vol. 10, pp. 30655-30665
Open Access | Times Cited: 69
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Michele Avanzo, M. Porzio, Leda Lorenzon, et al.
Physica Medica (2021) Vol. 83, pp. 221-241
Closed Access | Times Cited: 66
Deep convolutional neural networks for computer-aided breast cancer diagnostic: a survey
Parita Oza, Paawan Sharma, Samir Patel, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 3, pp. 1815-1836
Closed Access | Times Cited: 60
Multiscale fused network with additive channel–spatial attention for image segmentation
Chengling Gao, Hailiang Ye, Feilong Cao, et al.
Knowledge-Based Systems (2021) Vol. 214, pp. 106754-106754
Closed Access | Times Cited: 59
The class imbalance problem in deep learning
Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, et al.
Machine Learning (2022) Vol. 113, Iss. 7, pp. 4845-4901
Open Access | Times Cited: 56
State-of-the-art retinal vessel segmentation with minimalistic models
Adrián Galdrán, André Anjos, José Dolz, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 54
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
Ana María Barragán Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 49
Convolutional Networks and Transformers for Mammography Classification: An Experimental Study
Marco Cantone, Claudio Marrocco, Francesco Tortorella, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1229-1229
Open Access | Times Cited: 21
Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases
Brian K. Masinde, Caroline Gevaert, Michael Nagenborg, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 12, pp. 419-419
Open Access | Times Cited: 8
MDC-net: A new convolutional neural network for nucleus segmentation in histopathology images with distance maps and contour information
Xiaoming Liu, Zhengsheng Guo, Jun Cao, et al.
Computers in Biology and Medicine (2021) Vol. 135, pp. 104543-104543
Closed Access | Times Cited: 52
A Review on Computer Aided Diagnosis of Acute Brain Stroke
Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar, et al.
Sensors (2021) Vol. 21, Iss. 24, pp. 8507-8507
Open Access | Times Cited: 40
Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants
James Daniel Omaye, Emeka Ogbuju, Grace Ataguba, et al.
Artificial Intelligence in Agriculture (2024) Vol. 12, pp. 127-151
Open Access | Times Cited: 6
Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer
Yun-Ting Chen, Yan-Cheng Huang, Hsiu-Ling Chen, et al.
BMC Neurology (2025) Vol. 25, Iss. 1
Open Access
Hybrid Integent Staging of Age-Related Macular Degeneration for Decision-Making on Patient Management Tactics
Ekaterina A. Lopukhova, Ernest S. Yusupov, Rada R. Ibragimova, et al.
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1945-1945
Open Access
Boundary-enhanced local-global collaborative network for medical image segmentation
Hong‐Wei Qiu, Chengcheng Zhong, Chengling Gao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Detecting and classifying breast masses via YOLO-based deep learning
Büşra Kübra Karaca, Ziya Telatar, Selda Güney, et al.
Neural Computing and Applications (2025)
Open Access
FEB-Stacking and FEB-DNN Models for Stock Trend Prediction: A Performance Analysis for Pre and Post Covid-19 Periods
Indranil Ghosh, Tamal Datta Chaudhuri
Decision Making Applications in Management and Engineering (2021) Vol. 4, Iss. 1, pp. 51-86
Open Access | Times Cited: 37
Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model
Lifeng Xu, Chun Yang, Feng Zhang, et al.
Cancers (2022) Vol. 14, Iss. 11, pp. 2574-2574
Open Access | Times Cited: 26
A Comparison of Techniques for Class Imbalance in Deep Learning Classification of Breast Cancer
Ricky Walsh, Mickael Tardy
Diagnostics (2022) Vol. 13, Iss. 1, pp. 67-67
Open Access | Times Cited: 23
Reduction of overfitting on the highly imbalanced ISIC-2019 skin dataset using deep learning frameworks
Erapaneni Gayatri, S. L. Aarthy
Journal of X-Ray Science and Technology (2024) Vol. 32, Iss. 1, pp. 53-68
Closed Access | Times Cited: 4
A Unified Approach Addressing Class Imbalance in Magnetic Resonance Image for Deep Learning Models
Lijuan Cui, Dengao Li, Xiaofeng Yang, et al.
IEEE Access (2024) Vol. 12, pp. 27368-27384
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top