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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:
Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study
Tien T. Tang, Janice A. Zawaski, Kathleen N. Francis, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 41
Tien T. Tang, Janice A. Zawaski, Kathleen N. Francis, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 41
Showing 1-25 of 41 citing articles:
Machine Learning in Healthcare
Hafsa Habehh, Suril Gohel
Current Genomics (2021) Vol. 22, Iss. 4, pp. 291-300
Open Access | Times Cited: 220
Hafsa Habehh, Suril Gohel
Current Genomics (2021) Vol. 22, Iss. 4, pp. 291-300
Open Access | Times Cited: 220
The impact of site-specific digital histology signatures on deep learning model accuracy and bias
Frederick M. Howard, James M. Dolezal, Sara Kochanny, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 187
Frederick M. Howard, James M. Dolezal, Sara Kochanny, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 187
Artificial Intelligence in the Intensive Care Unit
Guillermo Gutiérrez
Critical Care (2020) Vol. 24, Iss. 1
Open Access | Times Cited: 164
Guillermo Gutiérrez
Critical Care (2020) Vol. 24, Iss. 1
Open Access | Times Cited: 164
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
Ahmet Saygılı
Applied Soft Computing (2021) Vol. 105, pp. 107323-107323
Open Access | Times Cited: 112
Ahmet Saygılı
Applied Soft Computing (2021) Vol. 105, pp. 107323-107323
Open Access | Times Cited: 112
Artificial intelligence in healthcare: a mastery
Jayanti Mukherjee, Ramesh Sharma, Prasenjit Dutta, et al.
Biotechnology and Genetic Engineering Reviews (2023) Vol. 40, Iss. 3, pp. 1659-1708
Closed Access | Times Cited: 18
Jayanti Mukherjee, Ramesh Sharma, Prasenjit Dutta, et al.
Biotechnology and Genetic Engineering Reviews (2023) Vol. 40, Iss. 3, pp. 1659-1708
Closed Access | Times Cited: 18
Can Magnetic Resonance Radiomics Analysis Discriminate Parotid Gland Tumors? A Pilot Study
Michela Gabelloni, Lorenzo Faggioni, Simona Attanasio, et al.
Diagnostics (2020) Vol. 10, Iss. 11, pp. 900-900
Open Access | Times Cited: 36
Michela Gabelloni, Lorenzo Faggioni, Simona Attanasio, et al.
Diagnostics (2020) Vol. 10, Iss. 11, pp. 900-900
Open Access | Times Cited: 36
Artificial Intelligence in the Intensive Care Unit
Guillermo Gutiérrez
Annual update in intensive care and emergency medicine (2020), pp. 667-681
Closed Access | Times Cited: 31
Guillermo Gutiérrez
Annual update in intensive care and emergency medicine (2020), pp. 667-681
Closed Access | Times Cited: 31
Medical Image Classification Techniques and Analysis Using Deep Learning Networks: A Review
Arpit Kumar Sharma, Amita Nandal, Arvind Dhaka, et al.
Studies in computational intelligence (2021), pp. 233-258
Closed Access | Times Cited: 23
Arpit Kumar Sharma, Amita Nandal, Arvind Dhaka, et al.
Studies in computational intelligence (2021), pp. 233-258
Closed Access | Times Cited: 23
Machine learning-based prediction of in-ICU mortality in pneumonia patients
Eun‐Tae Jeon, Hyo Jin Lee, Tae Yun Park, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Eun‐Tae Jeon, Hyo Jin Lee, Tae Yun Park, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias
Frederick M. Howard, James M. Dolezal, Sara Kochanny, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 24
Frederick M. Howard, James M. Dolezal, Sara Kochanny, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 24
Differentiation of Benign From Malignant Parotid Gland Tumors Using Conventional MRI Based on Radiomics Nomogram
Jinbo Qi, Ankang Gao, Xiaoyue Ma, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Jinbo Qi, Ankang Gao, Xiaoyue Ma, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning
Milad Mousavi, Mahsa Dehghan Manshadi, M. Soltani, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105511-105511
Open Access | Times Cited: 13
Milad Mousavi, Mahsa Dehghan Manshadi, M. Soltani, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105511-105511
Open Access | Times Cited: 13
Morphological features of single cells enable accurate automated classification of cancer from non-cancer cell lines
Zeynab Mousavikhamene, Daniel J. Sykora, Milan Mrksich, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 19
Zeynab Mousavikhamene, Daniel J. Sykora, Milan Mrksich, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 19
Industrial machine tool component surface defect dataset
Tobias Schlagenhauf, Magnus Landwehr
Data in Brief (2021) Vol. 39, pp. 107643-107643
Open Access | Times Cited: 17
Tobias Schlagenhauf, Magnus Landwehr
Data in Brief (2021) Vol. 39, pp. 107643-107643
Open Access | Times Cited: 17
An Efficient Lightweight CNN and Ensemble Machine Learning Classification of Prostate Tissue Using Multilevel Feature Analysis
Subrata Bhattacharjee, Cho‐Hee Kim, Deekshitha Prakash, et al.
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8013-8013
Open Access | Times Cited: 19
Subrata Bhattacharjee, Cho‐Hee Kim, Deekshitha Prakash, et al.
Applied Sciences (2020) Vol. 10, Iss. 22, pp. 8013-8013
Open Access | Times Cited: 19
A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study
César Augusto Pinheiro Ferreira Alves, Ulrike Löbel, Juan Sebastián Martín-Saavedra, et al.
American Journal of Neuroradiology (2021) Vol. 42, Iss. 5, pp. 961-968
Open Access | Times Cited: 15
César Augusto Pinheiro Ferreira Alves, Ulrike Löbel, Juan Sebastián Martín-Saavedra, et al.
American Journal of Neuroradiology (2021) Vol. 42, Iss. 5, pp. 961-968
Open Access | Times Cited: 15
A 2021 update on cancer image analytics with deep learning
Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2021) Vol. 11, Iss. 4
Closed Access | Times Cited: 14
Nikhil Cherian Kurian, Amit Sethi, Anil Reddy Konduru, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2021) Vol. 11, Iss. 4
Closed Access | Times Cited: 14
Holistic Approach for Artificial Intelligence Implementation in Pharmaceutical Products Lifecycle: A Meta-Analysis
Konstantin Koshechkin, Georgy Lebedev, Eduard N. Fartushnyi, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8373-8373
Open Access | Times Cited: 8
Konstantin Koshechkin, Georgy Lebedev, Eduard N. Fartushnyi, et al.
Applied Sciences (2022) Vol. 12, Iss. 16, pp. 8373-8373
Open Access | Times Cited: 8
Quantitative neurotoxicology: Potential role of artificial intelligence/deep learning approach
Anshul Srivastava, Joseph P. Hanig
Journal of Applied Toxicology (2020) Vol. 41, Iss. 7, pp. 996-1006
Closed Access | Times Cited: 8
Anshul Srivastava, Joseph P. Hanig
Journal of Applied Toxicology (2020) Vol. 41, Iss. 7, pp. 996-1006
Closed Access | Times Cited: 8
Automated Spleen Injury Detection Using 3D Active Contours and Machine Learning
Julie Wang, Alexander Wood, Chao Gao, et al.
Entropy (2021) Vol. 23, Iss. 4, pp. 382-382
Open Access | Times Cited: 8
Julie Wang, Alexander Wood, Chao Gao, et al.
Entropy (2021) Vol. 23, Iss. 4, pp. 382-382
Open Access | Times Cited: 8
Tumor size estimation and 3D model viewing using Deep Learning
Venkatavara Prasad D, Lokeswari Venkataramana, Kumar Abhishek, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Venkatavara Prasad D, Lokeswari Venkataramana, Kumar Abhishek, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study
Jan Kloka, Sophie C Holtmann, Elina Nürenberg-Goloub, et al.
JMIR Formative Research (2023) Vol. 7, pp. e43896-e43896
Open Access | Times Cited: 2
Jan Kloka, Sophie C Holtmann, Elina Nürenberg-Goloub, et al.
JMIR Formative Research (2023) Vol. 7, pp. e43896-e43896
Open Access | Times Cited: 2
Machine Learning and Antibiotic Management
Riccardo Maviglia, Teresa Michi, Davide Passaro, et al.
Antibiotics (2022) Vol. 11, Iss. 3, pp. 304-304
Open Access | Times Cited: 4
Riccardo Maviglia, Teresa Michi, Davide Passaro, et al.
Antibiotics (2022) Vol. 11, Iss. 3, pp. 304-304
Open Access | Times Cited: 4
SVMnet: Non-Parametric Image Classification Based on Convolutional Ensembles of Support Vector Machines for Small Training Sets
Hunter Goddard, Lior Shamir
IEEE Access (2022) Vol. 10, pp. 24029-24038
Open Access | Times Cited: 4
Hunter Goddard, Lior Shamir
IEEE Access (2022) Vol. 10, pp. 24029-24038
Open Access | Times Cited: 4
Application of machine learning approach in disordered materials
Jiaqi Wu, Y. T. Sun, Weihua Wang, et al.
Zhongguo kexue. Wulixue Lixue Tianwenxue (2020) Vol. 50, Iss. 6, pp. 067002-067002
Open Access | Times Cited: 5
Jiaqi Wu, Y. T. Sun, Weihua Wang, et al.
Zhongguo kexue. Wulixue Lixue Tianwenxue (2020) Vol. 50, Iss. 6, pp. 067002-067002
Open Access | Times Cited: 5