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Jeong Hoon Lee

Stanford University Medical Center

United States

Research Interests

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Professors in United States Professors in Medical Imaging Medical Imaging professors in United States

Articles (20)

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2026

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2025

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2023

Collaborators (17)

Hyun Joo Shin

Associate Professor

Yonsei University College of Medicine

SOUTH KOREA

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Suehyun Lee

SOUTH KOREA

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Jonghyun Lee

University of Pennsylvania

UNITED STATES

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Yeon-Hee Lee

Kyungpook National University

SOUTH KOREA

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Kyoung Min Moon

Chung Ang University Hospital

SOUTH KOREA

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Mirabela Rusu

Assistant Professor

Stanford University School of Medicine

UNITED STATES

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Richard Fan

Stanford University

UNITED STATES

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Robert Dess

University of Michigan

UNITED STATES

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Ji-hoon Kim

Professor

Seoul National University Hospital

SOUTH KOREA

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Sergios Gatidis

Associate Professor

Stanford University

UNITED STATES

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Giovanni Lughezzani

Full Staff Urologist

Humanitas University

ITALY

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Yong Min Na

Clinical assistant professor

Chonnam National University Hwasun Hospital

SOUTH KOREA

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Myung-Giun Noh

Assistant Professor

Chonnam National University Hwasun Hospital

SOUTH KOREA

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Haesung Yoon

Assistant professor

Yonsei University Health System

SOUTH KOREA

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Geoffrey A. Sonn

Stanford University School of Medicine

UNITED STATES

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Eun-Kyung Kim

Professor

Yonsei University College of Medicine

SOUTH KOREA

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Jungirl Seok

Clinical Assistant Professor

Seoul National University Hospital

SOUTH KOREA

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Jeong Hoon Lee

Research Interests

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Articles (20)

MUSegNet: Automated detection of clinically significant prostate cancer on micro-ultrasound

Correction: Predicting Nottingham grade in breast cancer digital pathology using a foundation model

Predicting Nottingham grade in breast cancer digital pathology using a foundation model

External Validation of an Upgraded AI Model for Screening Ileocolic Intussusception Using Pediatric Abdominal Radiographs: Multicenter Retrospective Study

BR-Mix3DNet: Predicting Breast Neoadjuvant Chemotherapy Response With a Hybrid MLP-Mixer and 3D CNN Model

Multidisciplinary Consensus Prostate Contours on Magnetic Resonance Imaging: Educational Atlas and Reference Standard for Artificial Intelligence Benchmarking.

Clinical and MRI markers for acute vs chronic temporomandibular disorders using a machine learning and deep neural networks

Perineural Invasion Affects the Risk and Pattern of Recurrence in Non-Small Cell Lung Cancer

A Deep Learning-Based Artificial Intelligence Model Assisting Thyroid Nodule Diagnosis and Management: Pilot Results for Evaluating Thyroid Malignancy in Pediatric Cohorts.

Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer

Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images

Deep-Learning-Based Segmentation of Predefined Chunks in Connected Speech: A Retrospective Analysis

Evaluating the Diagnostic Potential of Connected Speech for Benign Laryngeal Disease Using Deep Learning Analysis

Prediction of early clinical response to neoadjuvant chemotherapy in Triple-negative breast cancer: Incorporating Radiomics through breast MRI

Prediction of immunochemotherapy response for diffuse large B‐cell lymphoma using artificial intelligence digital pathology

Ensemble Deep Learning Model to Predict Lymphovascular Invasion in Gastric Cancer

Aggressiveness classification of clear cell renal cell carcinoma using registration-independent radiology-pathology correlation learning.

Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound

Artificial Intelligence Model Assisting Thyroid Nodule Diagnosis and Management: A Multicenter Diagnostic Study

Collaborators (17)

Hyun Joo Shin

Suehyun Lee

Jonghyun Lee

Yeon-Hee Lee

Kyoung Min Moon

Mirabela Rusu

Richard Fan

Robert Dess

Ji-hoon Kim

Sergios Gatidis

Giovanni Lughezzani

Yong Min Na

Myung-Giun Noh

Haesung Yoon

Geoffrey A. Sonn

Eun-Kyung Kim

Jungirl Seok

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