Hwee Kuan Lee

Agency for Science, Technology and Research — Singapore

Computer Science · Physical Sciences

23h-index2.1kcitations147works13.52yr avg
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Research Topics

AI in cancer detection(26), Medical Image Segmentation Techniques(16), Theoretical and Computational Physics(16), Radiomics and Machine Learning in Medical Imaging(15), Adversarial Robustness in Machine Learning(11)

Publications147 total

Deep learning-based quantification of epicardial adipose tissue volume from non-contrast computed tomography images: a multi-centre study
European Heart Journal - Digital Health·2025Open Access
Systematic benchmarking of 13 AI methods for predicting cyclic peptide membrane permeability
Journal of Cheminformatics·2025· 2 citedOpen Access
Abstract P24: Multi-Scale Modeling for Prediction of Spatial Single-Cell and Bulk Transcriptomic Profiles from Whole-Slide Images of Colorectal Cancer
Cancer Research·2025
Prefix-Tuning+: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention
arXiv (Cornell University)·2025Open Access
A hybrid machine learning framework leveraging biophysicochemical insights for scalable discovery of protein-ligand interactions
2025Open Access
Clinicodemographic and Radiological Features of Infective Ring-Enhancing Brain Lesions: A 4-Year Retrospective Study at a Tertiary Referral Center
Open Forum Infectious Diseases·2025· 1 citedOpen Access
Characterizing cardiac adipose tissue in post-acute myocardial infarction patients via CT imaging: a comparative cross-sectional study
European Heart Journal - Cardiovascular Imaging·2025· 6 cited
Cohort profile: AI-driven national Platform for CCTA for clinicaL and industriaL applicatiOns (APOLLO)
BMJ Open·2024· 9 citedOpen Access
Characterizing Nonculprit Lesions and Perivascular Adipose Tissue of Patients Following Acute Myocardial Infarction Using Coronary Computed Tomography Angiography: A Comparative Study
Journal of the American Heart Association·2024· 5 citedOpen Access
Super-resolution of spin configurations based on flow-based generative models
Journal of Physics A Mathematical and Theoretical·2024· 1 cited
Hierarchical Auto-labeling of Coronary Arteries on CT Coronary Angiography Images
2024
The First Adventures on Differential Geometry
WORLD SCIENTIFIC eBooks·2024
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
arXiv (Cornell University)·2024Open Access
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations
arXiv (Cornell University)·2024· 1 citedOpen Access
Weakly-supervised Learning of Schrödinger Equation
Journal of the Physical Society of Japan·2024Open Access
A comprehensive AI model development framework for consistent Gleason grading
Communications Medicine·2024· 13 citedOpen Access
BANKSY unifies cell typing and tissue domain segmentation for scalable spatial omics data analysis
Nature Genetics·2024· 191 citedOpen Access
Finding Meaningful Distributions of ML Black-boxes under Forensic Investigation
arXiv (Cornell University)·2023Open Access
Improving transparency and representational generalizability through parallel continual learning
Neural Networks·2023· 2 cited
An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases
Patterns·2022· 7 citedOpen Access
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Frequent Co-authors

Weimiao Yu(8), Sohail Ahmed(6), Yutaka Okabe(5), Srivats Hariharan(5), Malay Singh(4), Li Cheng(4), M Paknezhad(4), Tianxia Gong(3), Monisha E. Nongpiur(3), Shamira Perera(3), Tin Aung(3), Amadeus Aristo Winarto(3), Connie Kou(3), Sojeong Park(3), Farhan Akram(3), Sheng Yang Michael Loh(3), Wenyu Bu(3), Xu Cheng(3), M. B. A. Jalil(3), Kaicheng Liang(3)