Myoung Shin Kim

Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network

Woohyung Lim, Seung Seog Han, Gyeong Hun Park, 2018, PloS one.

Interpretation of the Outputs of a Deep Learning Model Trained with a Skin Cancer Dataset.

Woohyung Lim, Seung Seog Han, Gyeong Hun Park, 2018, The Journal of investigative dermatology.

Evaluation of a novel approach to circulating tumor cell isolation for cancer gene panel analysis in patients with breast cancer

Myoung Shin Kim, Kap-Seok Yang, S. Ahn, 2017, Oncology letters.

Augment Intelligence Dermatology : Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders.

Seung Seog Han, Myoung Shin Kim, Ilwoo Park, 2020, The Journal of investigative dermatology.