In Young Kim

A data-driven artificial intelligence model for remote triage in the prehospital environment

D. Jang, B. Cho, Dohyun Kim, 2018, PloS one.

Development of an automatic muscle atrophy measuring algorithm to calculate the ratio of supraspinatus in supraspinous fossa using deep learning

Jae Chul Yoo, Baek Hwan Cho, Sunhyun Yook, 2019, Comput. Methods Programs Biomed..

Selective Prediction With Long Short-term Memory Using Unit-Wise Batch Standardization for Time Series Health Data Sets: Algorithm Development and Validation

B. Cho, In Young Kim, Joo Young Kim, 2022, JMIR medical informatics.

Selective Prediction LSTM for Time Series Health Datasets using Unit-wise Batch Standardization: Algorithm Development and Validation (Preprint)

B. Cho, In Young Kim, Joo Young Kim, 2021, JMIR Medical Informatics.

Semi-supervised automatic seizure detection using personalized anomaly detecting variational autoencoder with behind-the-ear EEG

Young-Min Shon, Baek Hwan Cho, Sungmin You, 2021, Comput. Methods Programs Biomed..

Unsupervised automatic seizure detection for focal-onset seizures recorded with behind-the-ear EEG using an anomaly-detecting generative adversarial network

Baek Hwan Cho, Joo Young Kim, In Young Kim, 2020, Comput. Methods Programs Biomed..

Deep-learning framework and computer assisted fatty infiltration analysis for the supraspinatus muscle in MRI

In Young Kim, J. Yoo, S. Shim, 2021, Scientific Reports.