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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:

Medical image analysis using deep learning algorithms
Mengfang Li, Yuanyuan Jiang, Yanzhou Zhang, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 109

Showing 76-100 of 109 citing articles:

A multi-criteria decision analysis framework for evaluating deep learning models in healthcare research
Nidal Drissi, Hadeel T. El Kassabi, Mohamed Adel Serhani
Decision Analytics Journal (2024) Vol. 13, pp. 100523-100523
Open Access
M2IoU: A Min-Max Distance-based Loss Function for Bounding Box Regression in Medical Imaging
Anurag Shandilya, Krunali Shah, Bhavik Kanekar, et al.
(2024) Vol. 34, pp. 4041-4045
Closed Access
A Medical Data-Effective Learning Benchmark for Highly Efficient Pre-training of Foundation Models
Wenxuan Yang, Weimin Tan, Yuqi Sun, et al.
(2024), pp. 3499-3508
Closed Access
Algorithm Transparency and Interpretability for AI-Based Medical Imaging
Amit Sinha, Ashwin Perti
Advances in medical technologies and clinical practice book series (2024), pp. 339-364
Closed Access
Breast Cancer Classification Using Breast Ultrasound Images with a Hybrid of Transfer Learning and Bayesian-Optimized Fast Learning Network
Emmanuel Ahishakiye, Fredrick Kanobe
Research Square (Research Square) (2024)
Closed Access
Optimized deep learning model for comprehensive medical image analysis across multiple modalities
Saif Ur Rehman Khan, Sohaib Asif, Ming Zhao, et al.
Neurocomputing (2024) Vol. 619, pp. 129182-129182
Closed Access
Artificial Intelligence-Assisted Segmentation of a Falx Cerebri Calcification on Cone-Beam Computed Tomography: A Case Report
Julien Issa, Alexandre Chidiac, Paul Mozdziak, et al.
Medicina (2024) Vol. 60, Iss. 12, pp. 2048-2048
Open Access
Automatic Segmentation of Metastatic Livers by Means of U-Net-Based Procedures
Claudia Tiraboschi, Federica Parenti, Fabio Sangalli, et al.
Cancers (2024) Vol. 16, Iss. 24, pp. 4159-4159
Open Access
Quantum neural network-assisted learning for small medical datasets: a case study in emphysema detection
Safura Oviesi, Mohammad Jafar Tarokh, Milad Momeni
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access
Enhancing Monkeypox Detection With Efficientnet-B5 And Image Augmentation Fusion Technique
Abdelrahman Omar Yusuf, ABUBAKAR SADIQ ABDULLAHI, M. Isah, et al.
International Journal of Scientific Research in Science and Technology (2024) Vol. 11, Iss. 6, pp. 646-661
Open Access
Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
JMIR Aging (2024) Vol. 7, pp. e59370-e59370
Open Access
Assessing the Diagnostic Performance of Automated Pituitary Gland Volume Measurement for Idiopathic Central Precocious Puberty
Ha Youn Kim, Il‐Jeoung Yu
Journal of Clinical Medicine (2024) Vol. 14, Iss. 1, pp. 15-15
Open Access
The Three-Class Annotation Method Improves the AI Detection of Early-Stage Osteosarcoma on Plain Radiographs: A Novel Approach for Rare Cancer Diagnosis
Joe Hasei, Ryuichi Nakahara, Yujiro Otsuka, et al.
Cancers (2024) Vol. 17, Iss. 1, pp. 29-29
Open Access
A Systematic Review of the Applications of Deep Learning for the Interpretation of Positron Emission Tomography Images of Patients with Lymphoma
Theofilos Kanavos, Effrosyni Birbas, Theodoros P. Zanos
Cancers (2024) Vol. 17, Iss. 1, pp. 69-69
Open Access
Real-time Multimedia Analytics for IoT Applications: Leveraging Machine Learning for Insights
Rajeshwarrao Arabelli, Ashish Sharma, Sonia Duggal, et al.
(2024), pp. 446-451
Closed Access
Abnormality Detection in Brain Tissue: A deep Learning Approach
Kiran Preet Bedi, Jitendra Singh Jadon
(2024), pp. 19-25
Closed Access
Assessment of Postoperative Retinal Complications and the Possibility of Optical Diagnostics Using Support Vector Machine
Mansur Inkarbekov, Mukhit Kulmaganbetov, Galiya Bazarbekova, et al.
Salud Ciencia y Tecnología (2024) Vol. 4
Closed Access
Exploring Diverse Machine Learning Approaches for Coronary CT Images Analysis: A Comparative Study
Santiago Villafuerte, Francisco Javier Alvarez Padilla, Vladimir Trujillo-Olaya, et al.
2021 IEEE URUCON (2024), pp. 1-5
Closed Access
More Digitalized Health Services: A Blueprint for a Centralized Software Application in Smart City Context
Denis-Cătălin Arghir
Interdisciplinary Description of Complex Systems (2024) Vol. 22, Iss. 5, pp. 526-547
Open Access
Bone Quality Classification of Dual Energy X-ray Absorptiometry Images Using Convolutional Neural Network Models
Mailen Gonzalez, Jose M. Fuertes Garcia, Manuel J. Lucena Lopez, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access
Harnessing artificial intelligence for predicting and managing postoperative pain: a narrative literature review
Ruba Sajdeya, Samer Narouze
Current Opinion in Anaesthesiology (2024) Vol. 37, Iss. 5, pp. 604-615
Closed Access
Review on Machine and Deep Learning Techniques
Amrita Mohan, Soni Ojha
Advances in mechatronics and mechanical engineering (AMME) book series (2024), pp. 29-40
Closed Access
An Hybrid System Combining the Shortest Path Algorithm with and Real-Time VGG19 Convolutional Neural Network
Imen Chebbi, Sarra Abidi, Leila Jemni Ben Ayed
Research Square (Research Square) (2024)
Closed Access
AI Safety and Security
Mosiur Rahaman, Princy Pappachan, Sheila Mae Orozco, et al.
Advances in computational intelligence and robotics book series (2024), pp. 354-383
Closed Access
An nnU-Net Model to Enhance Segmentation of Cardiac Cine DENSE-MRI Using Phase Information
Mohammad Naqizadeh Jahromi, Augusto Delavald Marques, Mehlil Ahmed, et al.
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 670-673
Closed Access

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