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:

Advances in Deep Learning-Based Medical Image Analysis
Xiaoqing Liu, Kunlun Gao, Bo Liu, et al.
Health Data Science (2021) Vol. 2021
Open Access | Times Cited: 85

Showing 26-50 of 85 citing articles:

An interactive nuclei segmentation framework with Voronoi diagrams and weighted convex difference for cervical cancer pathology images
Lin Yang, Yuanyuan Lei, Zhenxing Huang, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 2, pp. 025021-025021
Closed Access | Times Cited: 1
RotU-Net: An Innovative U-Net With Local Rotation for Medical Image Segmentation
Fuxiang Zhang, Fengchao Wang, Wenfeng Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 21114-21128
Open Access | Times Cited: 1
Effect of Multimodal Metadata Augmentation on Classification Performance in Deep Learning
Yuri Gordienko, Maksym Shulha, Sergii Stirenko
Algorithms for intelligent systems (2024), pp. 391-405
Closed Access | Times Cited: 1
An Analysis of Multi-Criteria Performance in Deep Learning-Based Medical Image Classification: A comprehensive review
Samridhi Hisaria, Pratham Sharma, Raksha Gupta, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Rapid counting of coliforms and Escherichia coli by deep learning‐based classifier
Rina Wakabayashi, Atsuko Aoyanagi, Tatsuya Tominaga
Journal of Food Safety (2024) Vol. 44, Iss. 4
Closed Access | Times Cited: 1
Byzantine-Robust Multimodal Federated Learning Framework for Intelligent Connected Vehicle
Ning Wu, Xiaoming Lin, Jianbin Lu, et al.
Electronics (2024) Vol. 13, Iss. 18, pp. 3635-3635
Open Access | Times Cited: 1
Deep Learning Approach Using Diffusion-Weighted Imaging to Estimate the Severity of Aphasia in Stroke Patients
Soo Jeong, Eun‐Jae Lee, Yong‐Hwan Kim, et al.
Journal of Stroke (2022) Vol. 24, Iss. 1, pp. 108-117
Open Access | Times Cited: 7
TeliNet: Classifying CT scan images for COVID-19 diagnosis
Mohammad Nayeem Teli
(2021), pp. 496-502
Open Access | Times Cited: 10
Integration of Artificial Intelligence Into Sociotechnical Work Systems—Effects of Artificial Intelligence Solutions in Medical Imaging on Clinical Efficiency: Protocol for a Systematic Literature Review
Katharina Wenderott, Nikoloz Gambashidze, Matthias Weigl
JMIR Research Protocols (2022) Vol. 11, Iss. 12, pp. e40485-e40485
Open Access | Times Cited: 6
Learning Spatial Configuration Feature for Landmark Localization in Hand X-rays
Gyu-Sung Ham, Kanghan Oh
Electronics (2023) Vol. 12, Iss. 19, pp. 4038-4038
Open Access | Times Cited: 3
Recent Advances in Bioimage Analysis Methods for Detecting Skeletal Deformities in Biomedical and Aquaculture Fish Species
Navdeep Kumar, Raphaël Marée, Pierre Geurts, et al.
Biomolecules (2023) Vol. 13, Iss. 12, pp. 1797-1797
Open Access | Times Cited: 2
DL 101: Basic introduction to deep learning with its application in biomedical related fields
Tianyu Zhan
Statistics in Medicine (2022) Vol. 41, Iss. 26, pp. 5365-5378
Closed Access | Times Cited: 4
Automation of flow analysis in scleral vessels based on descriptive-associative algorithms
Bekzhan Kerimkhan, A. Nedzved, Аinur Zhumadillayeva, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Hybrid image processing model: a base for smart emergency applications
Gunish Gunish, Sheema Madhusudhanan, Arun Cyril Jose
The Journal of Supercomputing (2023) Vol. 79, Iss. 12, pp. 13119-13141
Closed Access | Times Cited: 2
Data-driven approaches to generating knowledge: Machine learning, artificial intelligence, and predictive modeling
Michael E. Matheny, Lucila Ohno‐Machado, Sharon E. Davis, et al.
Elsevier eBooks (2023), pp. 217-255
Closed Access | Times Cited: 2
Machine Learning for Medical Image Analysis: A Survey
Amina Fettah, Rafik Menassel, Abdeljalil Gattal
Lecture notes in networks and systems (2023), pp. 148-164
Closed Access | Times Cited: 2
A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images
R. Vinothini, G. Niranjana, Fitri Yakub
Journal of Digital Imaging (2023) Vol. 36, Iss. 6, pp. 2480-2493
Closed Access | Times Cited: 2
Analysis of Methods for Preprocessing of Panoramic Dental X-Rays for Image Segmentation Tasks
O.V. Komenchuk, O.B. Mokin
Visnyk of Vinnytsia Politechnical Institute (2023) Vol. 170, Iss. 5, pp. 41-49
Open Access | Times Cited: 2
An Intestinal Tumors Detection Model Based on Feature Distillation With Self-Correction Mechanism and PathGAN
Lingfeng Zhu, Jindong Liu, Dongmei Zheng, et al.
IEEE Access (2024) Vol. 12, pp. 51676-51689
Open Access
Assessing the Performance of U-Net in 3D Medical Image Segmentation
Khenaifer Fatma, Ilyes Benaissa, Athmane Zitouni, et al.
(2024), pp. 1-6
Closed Access
Development of an Equation-Free Surrogate Model using Deep Learning Algorithm for Heat Transfer Simulation
Somayeh afzali, Mohammad Kazem Moayyedi, Faranak Fotouhi-Ghazvini
European Journal of Computational Mechanics (2024), pp. 329-368
Open Access
A Comprehensive Review of the Application of Machine Learning in Medicine and Health Care
Tewodros Tassew, Xuan Nie
(2022)
Open Access | Times Cited: 3
Towards smart diagnostic methods for COVID-19: Review of deep learning for medical imaging
Marjan Jalali Moghaddam, Mina Ghavipour
IPEM-Translation (2022) Vol. 3-4, pp. 100008-100008
Open Access | Times Cited: 3
Mammogram Images Using Noise Removal of Filtering Techniques
V. Jeevitha, I. Laurence Aroquiaraj
Deleted Journal (2024) Vol. 2, Iss. 02, pp. 118-123
Open Access
Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI
Matias Aiskovich, Eduardo Castro, Jenna Reinen, et al.
Frontiers in Radiology (2024) Vol. 4
Open Access

Scroll to top