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Cited by in F6Publishing
For: Chowdhury A, Rosenthal J, Waring J, Umeton R. Applying Self-Supervised Learning to Medicine: Review of the State of the Art and Medical Implementations. Informatics 2021;8:59. [DOI: 10.3390/informatics8030059] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
Number Citing Articles
1 Shah N, Arshad A, Mazer MB, Carroll CL, Shein SL, Remy KE. The use of machine learning and artificial intelligence within pediatric critical care. Pediatr Res 2022. [DOI: 10.1038/s41390-022-02380-6] [Reference Citation Analysis]
2 Radhakrishnan M, Ramamurthy K, Kothandaraman A, Premkumar VJ, Ramesh N. Automatic Assessment of Abdominal Exercises for the Treatment of Diastasis Recti Abdominis Using Electromyography and Machine Learning. Symmetry 2022;14:1654. [DOI: 10.3390/sym14081654] [Reference Citation Analysis]
3 Gkikas DC, Theodoridis PK, Beligiannis GN. Enhanced Marketing Decision Making for Consumer Behaviour Classification Using Binary Decision Trees and a Genetic Algorithm Wrapper. Informatics 2022;9:45. [DOI: 10.3390/informatics9020045] [Reference Citation Analysis]
4 Ren C, Sun L, Peng D. A Contrastive Predictive Coding-Based Classification Framework for Healthcare Sensor Data. Journal of Healthcare Engineering 2022;2022:1-8. [DOI: 10.1155/2022/5649253] [Reference Citation Analysis]
5 Spathis D, Perez-Pozuelo I, Marques-Fernandez L, Mascolo C. Breaking away from labels: The promise of self-supervised machine learning in intelligent health. Patterns (N Y) 2022;3:100410. [PMID: 35199063 DOI: 10.1016/j.patter.2021.100410] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Jiao M, Liu H, Yang Z, Tian S, Ouyang H, Li Y, Yuan Y, Liu J, Wang C, Lang N, Jiang L, Yuan H, Qian Y, Wang X. Self-supervised Learning Based on a Pre-trained Method for the Subtype Classification of Spinal Tumors. Computational Mathematics Modeling in Cancer Analysis 2022. [DOI: 10.1007/978-3-031-17266-3_6] [Reference Citation Analysis]
7 Chowdhury A, Kassem H, Padoy N, Umeton R, Karargyris A. A Review of Medical Federated Learning: Applications in Oncology and Cancer Research. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries 2022. [DOI: 10.1007/978-3-031-08999-2_1] [Reference Citation Analysis]
8 Bartels J, Tokgoz KK, A S, Fukawa M, Otsubo S, Li C, Rachi I, Takeda K, Minati L, Ito H. TinyCowNet: Memory- and Power-Minimized RNNs Implementable on Tiny Edge Devices for Lifelong Cow Behavior Distribution Estimation. IEEE Access 2022;10:32706-27. [DOI: 10.1109/access.2022.3156278] [Reference Citation Analysis]