APOLLO: AI Platform for Operating Learning Models in Oncology
A software platform that enables researchers to test and deploy image-based machine learning models in clinical settings 
A software platform that enables researchers to test and deploy image-based machine learning models in clinical settings 
Scikit-rt is a Python toolkit for loading, plotting, and analysing radiotherapy data in DICOM and NIfTI formats. It includes image registration via elastix and NiftyReg, single- and multi-atlas segmentation, and region-of-interest (ROI) comparisons. 
Published in Physics in Medicine & Biology, 2017
Authors: P L Yeap, D J Noble, K Harrison, A M Bates, N G Burnet, R Jena, M Romanchikova, M P F Sutcliffe, S J Thomas, G C Barnett, R J Benson, S J Jefferies, M A Parker
Published in Radiotherapy and Oncology, 2019
Authors: D J Noble, P L Yeap, S Y K Seah, K Harrison, L E A Shelley, M Romanchikova, A M Bates, Y Zheng, G C Barnett, R J Benson, S J Jefferies, S J Thomas, R Jena, N G Burnet
Published in Physics in Medicine & Biology, 2023
Authors: P L Yeap, Y M Wong, A L K Ong, J K L Tuan, E P P Pang, S Y Park, J C L Lee, H Q Tan
Published in Physics and Imaging in Radiation Oncology, 2024
Authors: P L Yeap, Y M Wong, K H Lee, C W Y Koh, K S Lew, C G A Chua, A Wibawa, Z Master, J C L Lee, S Y Park, H Q Tan
Published in Technology in Cancer Research & Treatment, 2024
Authors: P L Yeap, K S Lew, W Y C Koh, C G A Chua, A Wibawa, Z Master, J C L Lee, S Y Park, H Q Tan
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Undergraduate projects, Department of Physics, Nanyang Technological University, 2022
Mentor for undergraduate interns at National Cancer Centre Singapore.
Medical Physics, Department of Physics, University of Cambridge, 2024
Conducted Medical Physics course supervisions for Part III (Master’s level) students.