Tae-Yeong Kwak

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 5

Top Topics

Convolutional Neural Network

Radical Prostatectomy

Papillary Thyroid

Top Venues

Bioengineering (Basel, Switzerland)

NPJ digital medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Joonho Lee, Geongyu Lee, Tae-Yeong Kwak, Sun Woo Kim, Min-Sun Jin, Chungyeul Kim, Hyeyoon Chang
MurSS: A Multi-Resolution Selective Segmentation Model for Breast Cancer. Bioengineering (Basel, Switzerland) 11 (5) (2024)
Joonho Lee, Geongyu Lee, Tae-Yeong Kwak, Sun Woo Kim, Min-Sun Jin, Chungyeul Kim, Hyeyoon Chang
MurSS: A Multi-Resolution Selective Segmentation Model for Breast Cancer. Bioengineering (Basel, Switzerland) 11 (5) (2024)
Hyunil Kim, Tae-Yeong Kwak, Hyeyoon Chang, Sun Woo Kim, Injung Kim
RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis. Bioengineering (Basel, Switzerland) 10 (11) (2023)
Yechan Mun, Inyoung Paik, Su-Jin Shin, Tae-Yeong Kwak, Hyeyoon Chang
Yet Another Automated Gleason Grading System (YAAGGS) by weakly supervised deep learning. NPJ digital medicine 4 (1) (2021)
Han Suk Ryu, Min-Sun Jin, Jeong Hwan Park, Sanghun Lee, Joonyoung Cho, Sangjun Oh, Tae-Yeong Kwak, Junwoo Isaac Woo, Yechan Mun, Sun Woo Kim, Soohyun Hwang, Su-Jin Shin, Hyeyoon Chang
Automated Gleason Scoring and Tumor Quantification in Prostate Core Needle Biopsy Images Using Deep Neural Networks and Its Comparison with Pathologist-Based Assessment. Cancers 11 (12) (2019)