Kyunghyun Paeng

Seoul, Republic of Korea

Last Updated: 09/26/2026

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Found 14 publications

Combined Biomarkers for Prediction of Immune Checkpoint Inhibitor Response in Patients With Triple-negative Breast Cancer.

Combined Biomarkers for Prediction of Immune Checkpoint Inhibitor Response in Patients With Triple-negative Breast Cancer.

Journal: Anticancer research

Published: February 12, 2025

OCELOT 2023: Cell detection from cell-tissue interaction challenge.

OCELOT 2023: Cell detection from cell-tissue interaction challenge.

Journal: Medical image analysis

Published: October 21, 2024

A universal immunohistochemistry analyzer for generalizing AI-driven assessment of immunohistochemistry across immunostains and cancer types.

A universal immunohistochemistry analyzer for generalizing AI-driven assessment of immunohistochemistry across immunostains and cancer types.

Journal: NPJ precision oncology

Published: June 27, 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.

Clinical Validation of Artificial Intelligence-Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non-Small Cell Lung Cancer.

Journal: JCO precision oncology

Published: May 09, 2024

Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving immune checkpoint inhibitors.

Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving immune checkpoint inhibitors.

Journal: Frontiers in immunology

Published: September 06, 2022

Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms.

Artificial Intelligence-Powered Whole-Slide Image Analyzer Reveals a Distinctive Distribution of Tumor-Infiltrating Lymphocytes in Neuroendocrine Neoplasms.

Journal: Diagnostics (Basel, Switzerland)

Published: August 30, 2022

Artificial Intelligence-Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as Complementary Biomarker for Immune Checkpoint Inhibition in Non-Small-Cell Lung Cancer.

Artificial Intelligence-Powered Spatial Analysis of Tumor-Infiltrating Lymphocytes as Complementary Biomarker for Immune Checkpoint Inhibition in Non-Small-Cell Lung Cancer.

Journal: Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Published: March 10, 2022

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.

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.

Journal: European journal of cancer (Oxford, England : 1990)

Published: January 11, 2022

Artificial Intelligence-Powered Hematoxylin and Eosin Analyzer Reveals Distinct Immunologic and Mutational Profiles among Immune Phenotypes in Non-Small-Cell Lung Cancer.

Artificial Intelligence-Powered Hematoxylin and Eosin Analyzer Reveals Distinct Immunologic and Mutational Profiles among Immune Phenotypes in Non-Small-Cell Lung Cancer.

Journal: The American journal of pathology

Published: October 29, 2021

Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients.

Author Correction: Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients.

Journal: Scientific reports

Published: October 21, 2021

Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients.

Deep learning from HE slides predicts the clinical benefit from adjuvant chemotherapy in hormone receptor-positive breast cancer patients.

Journal: Scientific reports

Published: November 29, 2020

Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses.

Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses.

Journal: Diagnostic pathology

Published: May 24, 2020

Showing 1-12 of 14

Last Updated: 09/26/2026