Myoung Shin Kim

Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

Seung Seog Han, Myoung Shin Kim, Woohyung Lim et al. · Journal of Investigative Dermatology · 2018 · 696 citations

Engineering, Machine Learning, Digital Pathology +16

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

Seung Seog Han, Gyeong‐Hun Park, Woohyung Lim et al. · PLoS ONE · 2018 · 285 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Engineering +22

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

Seung Seog Han, Ilwoo Park, Sung Eun Chang et al. · Journal of Investigative Dermatology · 2020 · 237 citations

Artificial Intelligence, Dermoscopic Image, Diagnosing Skin Cancer +9

Spartan deficiency causes accumulation of Topoisomerase 1 cleavage complexes and tumorigenesis

Reeja S. Maskey, Karen S. Flatten, Cynthia J. Sieben et al. · Nucleic Acids Research · 2017 · 121 citations · Full text

A Novel Wilms Tumor 1 (WT1) Target Gene Negatively Regulates the WNT Signaling Pathway

Myoung Shin Kim, Seung Kew Yoon, Frank Bollig et al. · Journal of Biological Chemistry · 2010 · 115 citations · Full text

Genetics, Wnt Signaling Pathway, Cancer Biology +18