Luyi Han (韩路易)

I am currently a Ph.D. student at Breast Imaging Group (BIG), Department of Radiology and Nuclear Medicine, Radboud University Medical Center, supervised by Prof. Dr. W.M. Prokop, Dr. Ritse Mann, and Dr. Tao Tan.

Email  /  Google Scholar  /  GitHub  /  LinkedIn  /  ResearchGate

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Research Interests

My current research centers around medical image analysis. Specifically, I have dedicated myself to (1) breast MRI, mammography, and ultrasound analysis, and (2) deep learning in medical image synthesis, segmentation, and registration.

Please be free to contact me if you would like to collaborate with me!

News

[06/2024] Three of our papers were early accepted by MICCAI 2024.

[03/2024] Our paper on multi-sequence MRI fusion synthesis was accepted by Information Fusion.

[11/2023] Our paper on multi-sequence MRI synthesis was accepted by MedIA.

[08/2023] We won the top 3 of MICCAI 2023 crossMoDA challenge and were invited to an oral presentation.

[07/2023] Our paper on electronic health records processing in breast disease was accepted by Cell Reports Medicine.

[06/2023] Four of our papers were accepted by MICCAI 2023.

[05/2023] Our paper on the longitudinal prediction of brain MRI was accepted by PR.

[02/2023] Our paper on predicting molecular subtypes was accepted by Npj Breast Cancer.

[09/2022] We won the top 2 (task 2) of MICCAI 2022 crossMoDA challenge and were invited to an oral presentation.

[06/2022] Our paper was accepted by MICCAI 2022.

[01/2022] Our paper on Chest X-ray Rib Suppression was accepted by MedIA.

[09/2021] We were invited to an oral presentation in MICCAI 2021 Learn2Reg challenge.

Selected Publications

➤ Challenges

➤ Medical Image Synthesis

➤ Medical Image Registration

➤ Medical Image Segmentation

➤ Breast Imaging

Two-stage CNNs for Computerized BI-RADS Categorization in Breast Ultrasound Images
BioMedical Engineering OnLine, 2019.

➤ More publications see my GoogleScholar

Books

➤ Conference Proceedings

Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care
First Deep Breast Workshop, Deep-Breath 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings.

Education

Master of Engineering, Department of Medical Informatics Engineering, Sichuan University.
Sep. 2017 - Jun. 2020


Bachelor of Engineering, Department of Medical Informatics Engineering, Sichuan University.
Sep. 2013 - Jun. 2017

Experience

Dec. 2020 - Now

Scientific researcher
Advisor: Dr. Ritse Mann

Z2Sky Technologies Inc.
Jul. 2020 - Nov. 2020

Internship
Advisor: Prof. S. Kevin Zhou

Feb. 2018 - Jul. 2018

Internship

Honors & Awards

CSC Scholarships (No. 202006240065), 2020-2024

Professional Activities

➤ Program Committees

Member of the Organizing Committee of the Universal UltraSound Image Challenge at MICCAI 2025

Co-chair of the Technical Committee of the 1st/2nd Deep Breast Workshop at MICCAI 2024/2025

➤ Review Service

Artificial Intelligence in Medicine

Artificial Intelligence Review

BME Frontiers

IEEE Journal of Biomedical and Health Informatics

IEEE Transactions on Medical Imaging

Investigative Radiology

Journal of Medical Internet Research

Medical Image Analysis

Medical Physics

MICCAI 2023-2025



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