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For: Choudhary A, Tong L, Zhu Y, Wang MD. Advancing Medical Imaging Informatics by Deep Learning-Based Domain Adaptation. Yearb Med Inform 2020;29:129-38. [PMID: 32823306 DOI: 10.1055/s-0040-1702009] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
Number Citing Articles
1 Perkonigg M, Hofmanninger J, Herold CJ, Brink JA, Pianykh O, Prosch H, Langs G. Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging. Nat Commun 2021;12:5678. [PMID: 34584080 DOI: 10.1038/s41467-021-25858-z] [Reference Citation Analysis]
2 Unnikrishnan B, Nguyen C, Balaram S, Li C, Foo CS, Krishnaswamy P. Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean. Med Image Anal 2021;73:102148. [PMID: 34274693 DOI: 10.1016/j.media.2021.102148] [Reference Citation Analysis]
3 Majumder MAA, Gaur U, Singh K, Kandamaran L, Gupta S, Haque M, Rahman S, Sa B, Rahman M, Rampersad F. Impact of COVID-19 pandemic on radiology education, training, and practice: A narrative review. World J Radiol 2021; 13(11): 354-370 [PMID: 34904050 DOI: 10.4329/wjr.v13.i11.354] [Reference Citation Analysis]
4 Bian P, Zhang X, Liu R, Li H, Zhang Q, Dai B. Deep-Learning-Based Color Doppler Ultrasound Image Feature in the Diagnosis of Elderly Patients with Chronic Heart Failure Complicated with Sarcopenia. J Healthc Eng 2021;2021:2603842. [PMID: 34367535 DOI: 10.1155/2021/2603842] [Reference Citation Analysis]
5 Asada K, Komatsu M, Shimoyama R, Takasawa K, Shinkai N, Sakai A, Bolatkan A, Yamada M, Takahashi S, Machino H, Kobayashi K, Kaneko S, Hamamoto R. Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics. J Pers Med 2021;11:886. [PMID: 34575663 DOI: 10.3390/jpm11090886] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Hamamoto R, Suvarna K, Yamada M, Kobayashi K, Shinkai N, Miyake M, Takahashi M, Jinnai S, Shimoyama R, Sakai A, Takasawa K, Bolatkan A, Shozu K, Dozen A, Machino H, Takahashi S, Asada K, Komatsu M, Sese J, Kaneko S. Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine. Cancers (Basel). 2020;12. [PMID: 33256107 DOI: 10.3390/cancers12123532] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 9.5] [Reference Citation Analysis]
7 Budd S, Robinson EC, Kainz B. A survey on active learning and human-in-the-loop deep learning for medical image analysis. Med Image Anal 2021;71:102062. [PMID: 33901992 DOI: 10.1016/j.media.2021.102062] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
8 Calderon-Ramirez S, Yang S, Moemeni A, Elizondo D, Colreavy-Donnelly S, Chavarría-Estrada LF, Molina-Cabello MA. Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl Soft Comput 2021;111:107692. [PMID: 34276263 DOI: 10.1016/j.asoc.2021.107692] [Reference Citation Analysis]
9 Hsu W, Baumgartner C, Deserno TM; Section Editors of the IMIA Yearbook Section on Sensors, Signals, and Imaging Informatics. Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics. Yearb Med Inform 2021;30:150-8. [PMID: 34479386 DOI: 10.1055/s-0041-1726526] [Reference Citation Analysis]
10 Wang R, Zheng G. CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation. Med Image Anal 2021;76:102328. [PMID: 34920236 DOI: 10.1016/j.media.2021.102328] [Reference Citation Analysis]