Luyi Han

Luyi Han

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

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

[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

Fine-Grained Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation
MICCAI Challenges, 2023.

Unsupervised Cross-Modality Domain Adaptation for Vestibular Schwannoma Segmentation and Koos Grade Prediction based on Semi-Supervised Contrastive Learning
MICCAI Challenges, 2022.

Deformable Registration of Brain MR Images via a Hybrid Loss
MICCAI Challenges, 2021.

➤ Cross-Modality Synthesis

Synthesis-based Imaging-Differentiation Representation Learning for Multi-Sequence 3D/4D MRI
Medical Image Analysis, 2024.

An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesis
MICCAI, 2023.

Synthesis of Contrast-Enhanced Breast MRI Using Multi-b-Value DWI-based Hierarchical Fusion Network with Attention Mechanism
MICCAI, 2023.

GAN-based Disentanglement Learning for Chest X-ray Rib Suppression
Medical Image Analysis, 2022.

➤ Medical Image Registration

To Deform or Not: Treatment-Aware Longitudinal Registration for Breast DCE-MRI during Neoadjuvant Chemotherapy via Unsupervised Keypoints Detection
arXiv, 2024.

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework
MICCAI, 2022.

➤ Breast Ultrasound Imaging

Semi-supervised Segmentation of Lesion from Breast Ultrasound Images with Attentional Generative Adversarial Network
Computer Methods and Programs in Biomedicine, 2020.

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

➤ More publications see my GoogleScholar

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

Professional Experience

The Netherlands Cancer Institute (NKI)

Dec. 2020 - Now

Scientific researcher
Advisor: Dr. Ritse Mann

Z2Sky Technologies Inc.

Jul. 2020 - Nov. 2020

Internship
Advisor: Prof. S. Kevin Zhou

Imsight Medical Technology Co., Ltd.

Feb. 2018 - Jul. 2018

Internship

Honors & Awards

CSC Scholarships (No. 202006240065), 2020-2024

Review Service

Artificial Intelligence in Medicine

IEEE Journal of Biomedical and Health Informatics

IEEE Transactions on Medical Imaging

Investigative Radiology

Medical Image Analysis

Medical Physics

MICCAI 2023

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