
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:
Digital Assessment of Stained Breast Tissue Images for Comprehensive Tumor and Microenvironment Analysis
Shachi Mittal, Cătălin Stoean, André Kajdacsy-Balla, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 37
Shachi Mittal, Cătălin Stoean, André Kajdacsy-Balla, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 37
Showing 1-25 of 37 citing articles:
A versatile deep learning architecture for classification and label-free prediction of hyperspectral images
Bryce Manifold, Shuaiqian Men, Ruoqian Hu, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 4, pp. 306-315
Open Access | Times Cited: 110
Bryce Manifold, Shuaiqian Men, Ruoqian Hu, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 4, pp. 306-315
Open Access | Times Cited: 110
Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
Saeed Nosratabadi, Amirhosein Mosavi, Puhong Duan, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1799-1799
Open Access | Times Cited: 121
Saeed Nosratabadi, Amirhosein Mosavi, Puhong Duan, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1799-1799
Open Access | Times Cited: 121
Exploring AdaBoost and Random Forests machine learning approaches for infrared pathology on unbalanced data sets
Jiayi Tang, Alex Henderson, P. Gardner
The Analyst (2021) Vol. 146, Iss. 19, pp. 5880-5891
Open Access | Times Cited: 44
Jiayi Tang, Alex Henderson, P. Gardner
The Analyst (2021) Vol. 146, Iss. 19, pp. 5880-5891
Open Access | Times Cited: 44
Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging
Kevin Yeh, Ishaan Sharma, Kianoush Falahkheirkhah, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Kevin Yeh, Ishaan Sharma, Kianoush Falahkheirkhah, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics
Nebojša Bačanin, Luka Jovanovic, Ruxandra Stoean, et al.
Axioms (2024) Vol. 13, Iss. 5, pp. 335-335
Open Access | Times Cited: 5
Nebojša Bačanin, Luka Jovanovic, Ruxandra Stoean, et al.
Axioms (2024) Vol. 13, Iss. 5, pp. 335-335
Open Access | Times Cited: 5
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
Deep Learning Glioma Grading with the Tumor Microenvironment Analysis Protocol for Comprehensive Learning, Discovering, and Quantifying Microenvironmental Features
Monika Pytlarz, Kamil Wojnicki, Paulina Pilanc, et al.
Deleted Journal (2024) Vol. 37, Iss. 4, pp. 1711-1727
Open Access | Times Cited: 3
Monika Pytlarz, Kamil Wojnicki, Paulina Pilanc, et al.
Deleted Journal (2024) Vol. 37, Iss. 4, pp. 1711-1727
Open Access | Times Cited: 3
Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals
Cătălin Stoean, Ruxandra Stoean, Miguel Atencia, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3032-3032
Open Access | Times Cited: 26
Cătălin Stoean, Ruxandra Stoean, Miguel Atencia, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3032-3032
Open Access | Times Cited: 26
Data science in economics: comprehensive review of advanced machine learning and deep learning methods
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
(2020)
Open Access | Times Cited: 22
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
(2020)
Open Access | Times Cited: 22
Tumor Microenvironment and the Role of Artificial Intelligence in Breast Cancer Detection and Prognosis
Kathryn Malherbe
American Journal Of Pathology (2021) Vol. 191, Iss. 8, pp. 1364-1373
Open Access | Times Cited: 19
Kathryn Malherbe
American Journal Of Pathology (2021) Vol. 191, Iss. 8, pp. 1364-1373
Open Access | Times Cited: 19
Exploring Metaheuristic Optimized Machine Learning for Software Defect Detection on Natural Language and Classical Datasets
Aleksandar Petrović, Luka Jovanovic, Nebojša Bačanin, et al.
(2024)
Open Access | Times Cited: 2
Aleksandar Petrović, Luka Jovanovic, Nebojša Bačanin, et al.
(2024)
Open Access | Times Cited: 2
Utilizing Deep Learning and Advanced Machine Learning Methods in Economic Data Analysis
Himanshu Sharma, Ankit Garg, Ritesh Kumar Singhal, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Himanshu Sharma, Ankit Garg, Ritesh Kumar Singhal, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification
Safet Purkovic, Luka Jovanovic, Miodrag Živković, et al.
Journal of King Saud University - Computer and Information Sciences (2024), pp. 102261-102261
Open Access | Times Cited: 2
Safet Purkovic, Luka Jovanovic, Miodrag Živković, et al.
Journal of King Saud University - Computer and Information Sciences (2024), pp. 102261-102261
Open Access | Times Cited: 2
Data Science in Economics
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 17
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
Research Square (Research Square) (2020)
Open Access | Times Cited: 17
Quantitative analysis of breast cancer tissue composition and associations with tumor subtype
Linnea T. Olsson, Lindsay A. Williams, Bentley R. Midkiff, et al.
Human Pathology (2022) Vol. 123, pp. 84-92
Open Access | Times Cited: 10
Linnea T. Olsson, Lindsay A. Williams, Bentley R. Midkiff, et al.
Human Pathology (2022) Vol. 123, pp. 84-92
Open Access | Times Cited: 10
Deep Learning for the Detection of Frames of Interest in Fetal Heart Assessment from First Trimester Ultrasound
Ruxandra Stoean, Dominic Gabriel Iliescu, Cătălin Stoean, et al.
Lecture notes in computer science (2021), pp. 3-14
Closed Access | Times Cited: 13
Ruxandra Stoean, Dominic Gabriel Iliescu, Cătălin Stoean, et al.
Lecture notes in computer science (2021), pp. 3-14
Closed Access | Times Cited: 13
Ranking Information Extracted from Uncertainty Quantification of the Prediction of a Deep Learning Model on Medical Time Series Data
Ruxandra Stoean, Cătălin Stoean, Miguel Atencia, et al.
Mathematics (2020) Vol. 8, Iss. 7, pp. 1078-1078
Open Access | Times Cited: 14
Ruxandra Stoean, Cătălin Stoean, Miguel Atencia, et al.
Mathematics (2020) Vol. 8, Iss. 7, pp. 1078-1078
Open Access | Times Cited: 14
Spatial sampling effect on data structure and random forest classification of tissue types in High Definition and Standard Definition FT-IR imaging
Danuta Liberda, Karolina Kosowska, Paulina Kozioł, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 217, pp. 104407-104407
Open Access | Times Cited: 8
Danuta Liberda, Karolina Kosowska, Paulina Kozioł, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 217, pp. 104407-104407
Open Access | Times Cited: 8
A hybrid unsupervised—Deep learning tandem for electrooculography time series analysis
Ruxandra Stoean, Cătălin Stoean, Roberto Becerra-García, et al.
PLoS ONE (2020) Vol. 15, Iss. 7, pp. e0236401-e0236401
Open Access | Times Cited: 6
Ruxandra Stoean, Cătălin Stoean, Roberto Becerra-García, et al.
PLoS ONE (2020) Vol. 15, Iss. 7, pp. e0236401-e0236401
Open Access | Times Cited: 6
Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma
Liam Burrows, Declan Sculthorpe, Hongrun Zhang, et al.
Journal of Pathology Informatics (2023) Vol. 15, pp. 100351-100351
Open Access | Times Cited: 2
Liam Burrows, Declan Sculthorpe, Hongrun Zhang, et al.
Journal of Pathology Informatics (2023) Vol. 15, pp. 100351-100351
Open Access | Times Cited: 2
Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
(2020)
Open Access | Times Cited: 4
Saeed Nosratabadi, Amir Mosavi, Puhong Duan, et al.
(2020)
Open Access | Times Cited: 4
A Convolutional Neural Network as a Proxy for the XRF Approximation of the Chemical Composition of Archaeological Artefacts in the Presence of Inter-microscope Variability
Cătălin Stoean, Leonard Ionescu, Ruxandra Stoean, et al.
Lecture notes in computer science (2021), pp. 260-271
Closed Access | Times Cited: 4
Cătălin Stoean, Leonard Ionescu, Ruxandra Stoean, et al.
Lecture notes in computer science (2021), pp. 260-271
Closed Access | Times Cited: 4
An assessment of the usefulness of image pre-processing for the classification of first trimester fetal heart ultrasound using convolutional neural networks
Cătălin Stoean, Ruxandra Stoean, Mircea Hotoleanu, et al.
2022 26th International Conference on System Theory, Control and Computing (ICSTCC) (2021), pp. 242-248
Closed Access | Times Cited: 4
Cătălin Stoean, Ruxandra Stoean, Mircea Hotoleanu, et al.
2022 26th International Conference on System Theory, Control and Computing (ICSTCC) (2021), pp. 242-248
Closed Access | Times Cited: 4
Characterization of Inductive Moderate Hyperthermia Effects on Intratumor Sarcoma-45 Heterogeneity Using Magnetic Resonance, Ultrasound and Histology Image Analysis
Valerii B. Orel, O I Dasyukevich, Orel Vé, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8251-8251
Open Access
Valerii B. Orel, O I Dasyukevich, Orel Vé, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8251-8251
Open Access
Application of binary subnetworks to classify images potentially containing melanocytic skin lesions
Jarosław Szkoła, Tomasz Paja, Wiesław Paja
Procedia Computer Science (2024) Vol. 246, pp. 4515-4523
Open Access
Jarosław Szkoła, Tomasz Paja, Wiesław Paja
Procedia Computer Science (2024) Vol. 246, pp. 4515-4523
Open Access