Kwangil Yim at College of Medicine - Research Interests, Publications & Academic Profile

Kwangil Yim

University Name

South Korea

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Research Interests

Medical Imaging

60%

Cell Biology

70%

Cancer Biology

80%

Epithelial-mesenchymal Transition

30%

Prognostic Biomarker

30%

Solid Tumor

30%

Biopsy

30%

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Articles13

Collision Tumor of the Ovary: Adult Granulosa Cell Tumor and Mesonephric-like Adenocarcinoma

Article Link

Year:

2024

Artificial-Intelligence-Assisted Detection of Metastatic Colorectal Cancer Cells in Ascitic Fluid

Article Link

Year:

2024

Uterine Cervical Angioleiomyoma Mimicking Squamous Cell Carcinoma

Article Link

Year:

2023

Deep Learning-Based Computational Cytopathologic Diagnosis of Metastatic Breast Carcinoma in Pleural Fluid

Article Link

Year:

2023

Two Cases of Lymph Node Metastasis Found in Differentiated, Small-Sized Gastric Adenocarcinomas: Did Tumor Budding Play a Critical Role?

Article Link

Year:

2023

Intratumoral Budding in Pretreatment Biopsies, among Tumor Microenvironmental Components, Can Predict Prognosis and Neoadjuvant Therapy Response in Colorectal Adenocarcinoma

Article Link

Year:

2022

Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review

Article Link

Year:

2022

Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape

Article Link

Year:

2022

Calculated Tumor-Associated Neutrophils Are Associated with the Tumor—Stroma Ratio and Predict a Poor Prognosis in Advanced Gastric Cancer

Article Link

Year:

2022

Tumor Budding in Gynecologic Cancer as a Marker for Poor Survival: A Systematic Review and Meta-Analysis of the Perspectives of Epithelial–Mesenchymal Transition

Article Link

Year:

2022

Identification of Survival-Specific Genes in Clear Cell Renal Cell Carcinoma Using a Customized Next-Generation Sequencing Gene Panel

Article Link

Year:

2022

DeepRePath: Identifying the Prognostic Features of Early-Stage Lung Adenocarcinoma Using Multi-Scale Pathology Images and Deep Convolutional Neural Networks

Article Link

Year:

2021

High Poly(ADP-Ribose) Polymerase Expression Does Relate to Poor Survival in Solid Cancers: A Systematic Review and Meta-Analysis

Article Link

Year:

2021

Collaborators9

Sung Hak Lee

associate professor

Catholic University of Korea School of Medicine

SOUTH KOREA

Yosep Chong

Associate Professor

Uijeongbu Saint Mary's Hospital

SOUTH KOREA

Uiju Cho

SOUTH KOREA

Won Mo Jang

Clinical Associate Professor

Seoul Metropolitan Government Seoul National University Boramae Medical Center

SOUTH KOREA

Hyun Joo Choi

SOUTH KOREA

Kyung Jin Seo

Associate Professor

Uijeongbu Saint Mary's Hospital

SOUTH KOREA

Yeoun Eun Sung

The Catholic University of Korea

SOUTH KOREA

Sang Hoon Chun

Clinical Associate Professor

Bucheon University

SOUTH KOREA

Young Sub Lee

Clinical Assistant Professor

Catholic University of Korea Eunpyeong St Mary's Hospital

SOUTH KOREA

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Kwangil Yim

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Research Interests

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Articles13

Collision Tumor of the Ovary: Adult Granulosa Cell Tumor and Mesonephric-like Adenocarcinoma

Artificial-Intelligence-Assisted Detection of Metastatic Colorectal Cancer Cells in Ascitic Fluid

Uterine Cervical Angioleiomyoma Mimicking Squamous Cell Carcinoma

Deep Learning-Based Computational Cytopathologic Diagnosis of Metastatic Breast Carcinoma in Pleural Fluid

Two Cases of Lymph Node Metastasis Found in Differentiated, Small-Sized Gastric Adenocarcinomas: Did Tumor Budding Play a Critical Role?

Intratumoral Budding in Pretreatment Biopsies, among Tumor Microenvironmental Components, Can Predict Prognosis and Neoadjuvant Therapy Response in Colorectal Adenocarcinoma

Recent Applications of Artificial Intelligence from Histopathologic Image-Based Prediction of Microsatellite Instability in Solid Cancers: A Systematic Review

Current Trend of Artificial Intelligence Patents in Digital Pathology: A Systematic Evaluation of the Patent Landscape

Calculated Tumor-Associated Neutrophils Are Associated with the Tumor—Stroma Ratio and Predict a Poor Prognosis in Advanced Gastric Cancer

Tumor Budding in Gynecologic Cancer as a Marker for Poor Survival: A Systematic Review and Meta-Analysis of the Perspectives of Epithelial&ndash;Mesenchymal Transition

Identification of Survival-Specific Genes in Clear Cell Renal Cell Carcinoma Using a Customized Next-Generation Sequencing Gene Panel

DeepRePath: Identifying the Prognostic Features of Early-Stage Lung Adenocarcinoma Using Multi-Scale Pathology Images and Deep Convolutional Neural Networks

High Poly(ADP-Ribose) Polymerase Expression Does Relate to Poor Survival in Solid Cancers: A Systematic Review and Meta-Analysis

Collaborators9

Sung Hak Lee

Yosep Chong

Uiju Cho

Won Mo Jang

Hyun Joo Choi

Kyung Jin Seo

Yeoun Eun Sung

Sang Hoon Chun

Young Sub Lee

How do Korean students reach out?

Tumor Budding in Gynecologic Cancer as a Marker for Poor Survival: A Systematic Review and Meta-Analysis of the Perspectives of Epithelial–Mesenchymal Transition