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Deep learning

A novel abnormality annotation database for COVID-19 affected frontal lung X-rays

Surbhi Mittal, Vasantha Kumar Venugopal, [ ... ], Santanu Chaudhury

A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy—Which markers work best for which gait patterns?

Yong Kuk Kim, Rosa M. S. Visscher, [ ... ], Florian Vogl

Saliency guided data augmentation strategy for maximally utilizing an object’s visual information

Junhyeok An, Soojin Jang, [ ... ], YoungBin Kim

Monitoring and early warning of a metal mine tailings pond based on a deep learning bidirectional recurrent long and short memory network

Zhanjie Jing, Xiaohong Gao

Data driven identification of international cutting edge science and technologies using SpaCy

Chunqi Hu, Huaping Gong, Yiqing He

Automated multi-class classification for prediction of tympanic membrane changes with deep learning models

Yeonjoo Choi, Jihye Chae, [ ... ], Joong Ho Ahn

Can deep learning reduce the time and effort required for manual segmentation in 3D reconstruction of MRI in rotator cuff tears?

Hyojune Kim, Keewon Shin, [ ... ], Namkug Kim

Peripapillary atrophy classification using CNN deep learning for glaucoma screening

Abdullah Almansour, Mohammed Alawad, [ ... ], Ahmed Almazroa

Lightweight individual cow identification based on Ghost combined with attention mechanism

Lili Fu, Shijun Li, [ ... ], He Gong

Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement

Anusua Trivedi, Caleb Robinson, [ ... ], Juan M. Lavista Ferres

Scientific X-ray: Scanning and quantifying the idea evolution of scientific publications

Qi Li, Xinbing Wang, [ ... ], Chenghu Zhou

A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomography

Hye Sun Yun, Chang Min Hyun, [ ... ], Jin Keun Seo

A deep learning-based approach to diagnose mild traumatic brain injury using audio classification

Conor Wall, Dylan Powell, [ ... ], Alan Godfrey

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