
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:
Deep Learning for Bone Mineral Density and T-Score Prediction from Chest X-rays: A Multicenter Study
Yoichi Sato, Norio Yamamoto, Naoya Inagaki, et al.
Biomedicines (2022) Vol. 10, Iss. 9, pp. 2323-2323
Open Access | Times Cited: 37
Yoichi Sato, Norio Yamamoto, Naoya Inagaki, et al.
Biomedicines (2022) Vol. 10, Iss. 9, pp. 2323-2323
Open Access | Times Cited: 37
Showing 26-50 of 37 citing articles:
A deep multi-filtering network based on dilated mask RCNN framework with self-attention RNN model for segmenting and classifying bone fracture
R. Jothi, K. Jayanthi
Multimedia Tools and Applications (2024)
Closed Access
R. Jothi, K. Jayanthi
Multimedia Tools and Applications (2024)
Closed Access
Failure of AI-driven diagnostic tool: lessons and strategies to prevent patient harm
Hiroshi Kawaguchi
Archives of Osteoporosis (2024) Vol. 19, Iss. 1
Closed Access
Hiroshi Kawaguchi
Archives of Osteoporosis (2024) Vol. 19, Iss. 1
Closed Access
Development of an Artificial Intelligence System for Distinguishing Malignant from Benign Soft Tissue Tumors Using Contrast-Enhanced MR Images
Toru Hirozane, Masahiro Hashimoto, Hasnine A. Haque, et al.
Oncology (2024), pp. 1-11
Closed Access
Toru Hirozane, Masahiro Hashimoto, Hasnine A. Haque, et al.
Oncology (2024), pp. 1-11
Closed Access
Application and Prospects of Deep Learning Technology in Fracture Diagnosis
Jiayao Zhang, Jiaming Yang, Xin-meng Wang, et al.
Current Medical Science (2024)
Closed Access
Jiayao Zhang, Jiaming Yang, Xin-meng Wang, et al.
Current Medical Science (2024)
Closed Access
Prediction of Low Bone Mass for Japanese Female Athletes Using Machine Learning
João Gabriel Segato Kruse, Miki Kaneko, Sayaka Nose‐Ogura, et al.
(2024), pp. 1-4
Closed Access
João Gabriel Segato Kruse, Miki Kaneko, Sayaka Nose‐Ogura, et al.
(2024), pp. 1-4
Closed Access
Estimation of the genetic influence on bone mineral density for Japanese women: a twin study
Soichiro Saeki, Rie Tomizawa, Kaori Minamitani, et al.
Research Square (Research Square) (2023)
Closed Access
Soichiro Saeki, Rie Tomizawa, Kaori Minamitani, et al.
Research Square (Research Square) (2023)
Closed Access
A Multi-layer Perceptron Neural Network for Predicting the Osteoporosis in Women Using Physical Activity Factors
Jun‐hee Kim
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Jun‐hee Kim
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Artificial Intelligence-enabled Electrocardiography Detects Osteoporosis with chest X-ray and identifies the mortality events
Dung-Jang Tsai, Chin Lin, Chin‐Sheng Lin, et al.
Research Square (Research Square) (2023)
Open Access
Dung-Jang Tsai, Chin Lin, Chin‐Sheng Lin, et al.
Research Square (Research Square) (2023)
Open Access
Artificial Intelligence-enabled Chest X-ray DetectsOsteoporosis with Bone Mineral Density and identifies the mortality events
Dung-Jang Tsai, Chin Lin, Chin‐Sheng Lin, et al.
Research Square (Research Square) (2023)
Open Access
Dung-Jang Tsai, Chin Lin, Chin‐Sheng Lin, et al.
Research Square (Research Square) (2023)
Open Access
A Multi-Layer Perceptron Neural Network for Predicting the Diagnosis of Osteoporosis in Women Using Physical Activity Factors
Gyeong‐tae Gwak, Jun‐hee Kim, Ui‐jae Hwang, et al.
Journal of Musculoskeletal Science and Technology (2023) Vol. 7, Iss. 2, pp. 54-61
Open Access
Gyeong‐tae Gwak, Jun‐hee Kim, Ui‐jae Hwang, et al.
Journal of Musculoskeletal Science and Technology (2023) Vol. 7, Iss. 2, pp. 54-61
Open Access
Genetic influence on bone mineral density for Japanese women: a twin study
Soichiro Saeki, Rie Tomizawa, Kaori Minamitani, et al.
Research Square (Research Square) (2023)
Closed Access
Soichiro Saeki, Rie Tomizawa, Kaori Minamitani, et al.
Research Square (Research Square) (2023)
Closed Access
Genetic influence on bone mineral density for Japanese women: a twin study
Soichiro Saeki, Rie Tomizawa, Kaori Minamitani, et al.
Research Square (Research Square) (2023)
Closed Access
Soichiro Saeki, Rie Tomizawa, Kaori Minamitani, et al.
Research Square (Research Square) (2023)
Closed Access