Wonkyung Jung

Medicine · Health Sciences

6h-index177citations12works7.92yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(7), Cancer Immunotherapy and Biomarkers(6), AI in cancer detection(3), Cancer Genomics and Diagnostics(3), Cell Image Analysis Techniques(2)

Publications12 total

Artificial Intelligence–Powered Human Epidermal Growth Factor Receptor 2 Quantification and Clinical Outcomes in Human Epidermal Growth Factor Receptor 2–Positive Biliary Tract Cancer Treated With Trastuzumab Plus Folinic Acid, Fluorouracil, and Oxaliplatin
JCO Precision Oncology·2025· 1 citedOpen Access
OCELOT 2023: Cell detection from cell–tissue interaction challenge
Medical Image Analysis·2025Open Access
Prognostic Significance of the Immune Microenvironment in Endometrial Cancer
Laboratory Investigation·2024· 4 cited
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer
arXiv (Cornell University)·2024Open Access
Identification of HER2 ultra-low based on an artificial intelligence (AI)-powered HER2 subcellular quantification from HER2 immunohistochemistry images.
Journal of Clinical Oncology·2024· 2 cited
Artificial intelligence (AI) –powered H&E whole-slide image (WSI) analysis to predict recurrence in hormone receptor positive (HR+) early breast cancer (EBC).
Journal of Clinical Oncology·2024
Clinical Validation of Artificial Intelligence–Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non–Small Cell Lung Cancer
JCO Precision Oncology·2024· 14 cited
An artificial intelligence‐powered <scp>PD‐L1</scp> combined positive score (<scp>CPS</scp>) analyser in urothelial carcinoma alleviating interobserver and intersite variability
Histopathology·2024· 10 citedOpen Access
Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types
Journal for ImmunoTherapy of Cancer·2024· 40 citedOpen Access
Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer
npj Breast Cancer·2023· 40 citedOpen Access
Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms
Diagnostics·2022· 7 citedOpen Access
Artificial intelligence–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better prediction of immunotherapy response
European Journal of Cancer·2022· 59 cited

Frequent Co-authors

Chan‐Young Ock(10), Soo Ick Cho(7), Sérgio Pereira(7), Seokhwi Kim(6), Gahee Park(6), Sangjoon Choi(5), Minuk Ma(5), Seonwook Park(5), Kyunghyun Paeng(5), Hyojin Kim(4), Taebum Lee(4), Se‐Hoon Lee(3), Chang Ho Ahn(3), Sukjun Kim(3), Siraj M. Ali(3), Jongchan Park(3), Biagio Brattoli(3), Donggeun Yoo(2), Tony Mok(2), Yoon-La Choi(2)