
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:
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
Todd Hollon, Balaji Pandian, Arjun Adapa, et al.
Nature Medicine (2020) Vol. 26, Iss. 1, pp. 52-58
Open Access | Times Cited: 596
Todd Hollon, Balaji Pandian, Arjun Adapa, et al.
Nature Medicine (2020) Vol. 26, Iss. 1, pp. 52-58
Open Access | Times Cited: 596
Showing 1-25 of 596 citing articles:
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee, Paul F. Jaeger, Simon Kohl, et al.
Nature Methods (2020) Vol. 18, Iss. 2, pp. 203-211
Closed Access | Times Cited: 4881
Fabian Isensee, Paul F. Jaeger, Simon Kohl, et al.
Nature Methods (2020) Vol. 18, Iss. 2, pp. 203-211
Closed Access | Times Cited: 4881
AI in health and medicine
Pranav Rajpurkar, Emma Chen, Oishi Banerjee, et al.
Nature Medicine (2022) Vol. 28, Iss. 1, pp. 31-38
Closed Access | Times Cited: 1395
Pranav Rajpurkar, Emma Chen, Oishi Banerjee, et al.
Nature Medicine (2022) Vol. 28, Iss. 1, pp. 31-38
Closed Access | Times Cited: 1395
Data-efficient and weakly supervised computational pathology on whole-slide images
Ming Lu, Drew F. K. Williamson, Tiffany Chen, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 555-570
Open Access | Times Cited: 1082
Ming Lu, Drew F. K. Williamson, Tiffany Chen, et al.
Nature Biomedical Engineering (2021) Vol. 5, Iss. 6, pp. 555-570
Open Access | Times Cited: 1082
Advancing Biosensors with Machine Learning
Feiyun Cui, Yun Yue, Yi Zhang, et al.
ACS Sensors (2020) Vol. 5, Iss. 11, pp. 3346-3364
Closed Access | Times Cited: 503
Feiyun Cui, Yun Yue, Yi Zhang, et al.
ACS Sensors (2020) Vol. 5, Iss. 11, pp. 3346-3364
Closed Access | Times Cited: 503
Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope
Anoop Singh, Asha Sharma, Aamir Ahmed, et al.
Biosensors (2021) Vol. 11, Iss. 9, pp. 336-336
Open Access | Times Cited: 362
Anoop Singh, Asha Sharma, Aamir Ahmed, et al.
Biosensors (2021) Vol. 11, Iss. 9, pp. 336-336
Open Access | Times Cited: 362
Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review
Lu Xu, Leslie Sanders, Kay Li, et al.
JMIR Cancer (2021) Vol. 7, Iss. 4, pp. e27850-e27850
Open Access | Times Cited: 334
Lu Xu, Leslie Sanders, Kay Li, et al.
JMIR Cancer (2021) Vol. 7, Iss. 4, pp. e27850-e27850
Open Access | Times Cited: 334
Artificial intelligence for multimodal data integration in oncology
Jana Lipková, Richard J. Chen, Bowen Chen, et al.
Cancer Cell (2022) Vol. 40, Iss. 10, pp. 1095-1110
Open Access | Times Cited: 312
Jana Lipková, Richard J. Chen, Bowen Chen, et al.
Cancer Cell (2022) Vol. 40, Iss. 10, pp. 1095-1110
Open Access | Times Cited: 312
Designing deep learning studies in cancer diagnostics
Andreas Kleppe, Ole-Johan Skrede, Sepp de Raedt, et al.
Nature reviews. Cancer (2021) Vol. 21, Iss. 3, pp. 199-211
Closed Access | Times Cited: 257
Andreas Kleppe, Ole-Johan Skrede, Sepp de Raedt, et al.
Nature reviews. Cancer (2021) Vol. 21, Iss. 3, pp. 199-211
Closed Access | Times Cited: 257
AI-based pathology predicts origins for cancers of unknown primary
Ming Lu, Tiffany Chen, Drew F. K. Williamson, et al.
Nature (2021) Vol. 594, Iss. 7861, pp. 106-110
Open Access | Times Cited: 229
Ming Lu, Tiffany Chen, Drew F. K. Williamson, et al.
Nature (2021) Vol. 594, Iss. 7861, pp. 106-110
Open Access | Times Cited: 229
Automatic detection of 39 fundus diseases and conditions in retinal photographs using deep neural networks
Ling‐Ping Cen, Jie Ji, Jianwei Lin, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 211
Ling‐Ping Cen, Jie Ji, Jianwei Lin, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 211
A Robust Approach for Brain Tumor Detection in Magnetic Resonance Images Using Finetuned EfficientNet
Hasnain Ali Shah, Faisal Saeed, Sangseok Yun, et al.
IEEE Access (2022) Vol. 10, pp. 65426-65438
Open Access | Times Cited: 179
Hasnain Ali Shah, Faisal Saeed, Sangseok Yun, et al.
IEEE Access (2022) Vol. 10, pp. 65426-65438
Open Access | Times Cited: 179
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, et al.
IEEE Transactions on Biomedical Circuits and Systems (2020) Vol. 14, Iss. 6, pp. 1138-1159
Open Access | Times Cited: 174
Mostafa Rahimi Azghadi, Corey Lammie, Jason K. Eshraghian, et al.
IEEE Transactions on Biomedical Circuits and Systems (2020) Vol. 14, Iss. 6, pp. 1138-1159
Open Access | Times Cited: 174
Accurate brain tumor detection using deep convolutional neural network
Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4733-4745
Open Access | Times Cited: 172
Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4733-4745
Open Access | Times Cited: 172
Rapid single-particle chemical imaging of nanoplastics by SRS microscopy
Naixin Qian, Xin Gao, Xiaoqi Lang, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 3
Open Access | Times Cited: 163
Naixin Qian, Xin Gao, Xiaoqi Lang, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 3
Open Access | Times Cited: 163
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang, Cheng Li, Rongpin Wang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 144
Shanshan Wang, Cheng Li, Rongpin Wang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 144
Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 142
Lorenz Adlung, Yotam Cohen, Uria Mor, et al.
Med (2021) Vol. 2, Iss. 6, pp. 642-665
Open Access | Times Cited: 142
Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 139
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 139
Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer
Chris McIntosh, Leigh Conroy, Michael C. Tjong, et al.
Nature Medicine (2021) Vol. 27, Iss. 6, pp. 999-1005
Closed Access | Times Cited: 127
Chris McIntosh, Leigh Conroy, Michael C. Tjong, et al.
Nature Medicine (2021) Vol. 27, Iss. 6, pp. 999-1005
Closed Access | Times Cited: 127
Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning
Liping Huang, Hongwei Sun, Liangbin Sun, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 125
Liping Huang, Hongwei Sun, Liangbin Sun, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 125
Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach
Bo Zhang, Huiping Shi, Hongtao Wang
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 1779-1791
Open Access | Times Cited: 112
Bo Zhang, Huiping Shi, Hongtao Wang
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 1779-1791
Open Access | Times Cited: 112
Deep learning in analytical chemistry
B. Debus, Hadi Parastar, Peter de B. Harrington, et al.
TrAC Trends in Analytical Chemistry (2021) Vol. 145, pp. 116459-116459
Closed Access | Times Cited: 111
B. Debus, Hadi Parastar, Peter de B. Harrington, et al.
TrAC Trends in Analytical Chemistry (2021) Vol. 145, pp. 116459-116459
Closed Access | Times Cited: 111
I Asked a ChatGPT to Write an Editorial About How We Can Incorporate Chatbots Into Neurosurgical Research and Patient Care…
Randy S. D’Amico, Timothy G. White, Harshal A. Shah, et al.
Neurosurgery (2023) Vol. 92, Iss. 4, pp. 663-664
Open Access | Times Cited: 104
Randy S. D’Amico, Timothy G. White, Harshal A. Shah, et al.
Neurosurgery (2023) Vol. 92, Iss. 4, pp. 663-664
Open Access | Times Cited: 104
Label-free intraoperative histology of bone tissue via deep-learning-assisted ultraviolet photoacoustic microscopy
Rui Cao, Scott D. Nelson, Samuel P. X. Davis, et al.
Nature Biomedical Engineering (2022) Vol. 7, Iss. 2, pp. 124-134
Open Access | Times Cited: 101
Rui Cao, Scott D. Nelson, Samuel P. X. Davis, et al.
Nature Biomedical Engineering (2022) Vol. 7, Iss. 2, pp. 124-134
Open Access | Times Cited: 101
Instant diagnosis of gastroscopic biopsy via deep-learned single-shot femtosecond stimulated Raman histology
Zhijie Liu, Wei Su, Jianpeng Ao, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 89
Zhijie Liu, Wei Su, Jianpeng Ao, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 89
Artificial intelligence, machine learning, and deep learning in liver transplantation
Mamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Journal of Hepatology (2023) Vol. 78, Iss. 6, pp. 1216-1233
Open Access | Times Cited: 86
Mamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Journal of Hepatology (2023) Vol. 78, Iss. 6, pp. 1216-1233
Open Access | Times Cited: 86