๐Ÿ‘‹ About Me

Hi there! I am an AI Engineer and Researcher dedicated to bridging the gap between state-of-the-art deep learning research and real-world clinical applications. With a PhD background in medical image analysis, I specialize in building robust, interpretable models for complex diagnostic tasks.

Currently based in Amsterdam, I focus on computer vision, medical imaging, and automated deep learning pipelines that enhance clinical decision-making and improve patient outcomes.

๐Ÿ—ž๏ธ News

Sep 2025 ๐Ÿ† Won Top-1 Solution at the HECKTOR 2025 Competition for head and neck cancer tumor segmentation!
Jun 2025 ๐Ÿ“‘ New paper "Improving rectal tumor segmentation with anomaly fusion..." published in Scientific Reports.
Feb 2025 ๐Ÿš€ Anatomy-aware nnU-Net codebase is now open-sourced on GitHub.
Dec 2024 ๐Ÿ‘จโ€๐Ÿ’ป Started my new role as an AI Medical Analyst at Amsterdam UMC.

๐ŸŽฏ Research Interests

  • ๐Ÿง  Deep Learning
  • ๐Ÿฅ Medical Imaging
  • ๐Ÿค– Computer Vision
  • ๐Ÿ”ฌ Precision Oncology
  • ๐ŸŽ—๏ธ Tumor Segmentation
  • ๐Ÿ’Š Treatment Response
  • ๐Ÿ“ท CT/PET
  • ๐Ÿงฒ MRI
  • ๐Ÿ“Š Data Analysis

๐Ÿš€ Featured Projects

๐Ÿ† HECKTOR 2025 Competition

Top-1 Solution for Segmentation and Detection of Head and Neck Cancer Tumors. Developed a multi-modal deep learning approach for robust lesion detection.

โœจ Anatomy-aware nnU-Net Open Source

Improved rectal tumor segmentation using anomaly fusion derived from anatomical inpainting. Integrates domain knowledge into automated segmentation pipelines.

๐Ÿ› ๏ธ MLNet Research Tool

An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI.

๐Ÿ“š Selected Publications

  • Improving rectal tumor segmentation with anomaly fusion derived from anatomical inpainting
    Lishan Cai, et al.
    Scientific Reports (2025)
  • An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer
    Lishan Cai, et al.
    npj Precision Oncology (2024)

๐Ÿ’ผ Experience

๐Ÿ‘จโ€๐Ÿ’ป AI Medical Analyst 2024 โ€“ Present
Amsterdam UMC, Amsterdam
๐ŸŽ“ PhD Candidate 2020 โ€“ 2024
Netherlands Cancer Institute

๐ŸŽ“ Education

PhD in AI (Medical Image Analysis) 2020 โ€“ 2024
Netherlands Cancer Institute
M.Sc. Bioinformatics 2017 โ€“ 2019
Copenhagen University