Lei Fan

Postdoctoral Fellow at CHeBA, UNSW

lei.fan1 (at) unsw (dot) edu (dot) au

About Me

I am currently a Postdoctoral Fellow at the Centre for Healthy Brain Ageing (CHeBA), UNSW. I received my PhD from UNSW Sydney in 2024, specializing in computer vision and machine learning.

My Research Interests.

MRI Data Analysis
Whole Slide Image Analysis
Visual Anomaly Detection
Grain Image Analysis

News

[2024-09]

My PhD thesis has been approved.

[2023-12]

One paper on visual anomaly detection has been accepted for ICASSP 2024.

[2023-11]

One paper on grain inspection has been accepted for IEEE RA-L.

[2023-10]

One paper on grain inspection has been accepted for Scientific Data.

[2023-07]

One paper on grain inspection & anomaly detection has been accepted for ECAI 2023.

[2022-10]

One paper on cancer analysis with WSIs has been accepted for IEEE TMI.

[2022-05]

One paper on WSIs style translation has been accepted for MICCAI 2022.

[2022-05]

One paper on grain inspection has been accepted for CVPR 2022.

[2021-05]

One paper on cancer analysis with WSIs has been accepted for MICCAI 2021.

Publications

Conference Papers

2023

Patch-Wise Augmentation for Anomaly Detection and Localization

Lei Fan*, Yiwen Ding, Maurice Pagnucco, Yang Song

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

[PDF]

Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection

Lei Fan*, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song

European Conference on Artificial Intelligence (ECAI), 2023

[PDF] [ArXiv] [Project]

2022

Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning

Lei Fan*, Arcot Sowmya, Erik Meijering, Yang Song

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

[PDF]

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains

Lei Fan*', Yiwen Ding', Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song (' equal contribution)

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022

[PDF] [ArXiv] [Project]

Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images

Lei Fan*, Arcot Sowmya, Erik Meijering, Yang Song

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

[PDF]

Journal Papers

2023

AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains

Lei Fan*, Dongdong Fan, Yiwen Ding, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song

IEEE Robotics and Automation Letters (RA-L), 2023

[PDF] [Project]

An annotated grain kernel image database for visual quality inspection

Lei Fan*, Yiwen Ding, Dongdong Fan, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song*

Scientific Data, 2023

[PDF] [Project]

2022

Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency

Lei Fan*, Arcot Sowmya, Erik Meijering, Yang Song

IEEE Transactions on Medical Imaging (TMI), 2022

[PDF]

Activities

Serving as Guest Editor:
- Frontiers in Medicine & Frontiers in Digital Health (opens new window)

Serving as Reviewers:
- Conference: CVPR, ICCV, ECCV, MICCAI, ECAI, BIBM, ICRA, ISBI, PRICAI, IJCNN, KR
- Journal:
  - IEEE Transactions on Medical Imaging
  - IEEE Transactions on Intelligent Transportation Systems
  - IEEE Sensors Letters
  - IEEE ACCESS
  - IET Image Processing
  - Journal of Field Robotics
  - Journal of Real-Time Image Processing
  - Knowledge-based System
  - Scientific Reports
  - Scientific Data
  - Frontiers in Radiology