Hwee Kuan Lee
Orcid: 0000-0003-1932-5377
According to our database1,
Hwee Kuan Lee
authored at least 55 papers
between 2005 and 2023.
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Bibliography
2023
Improving transparency and representational generalizability through parallel continual learning.
Neural Networks, April, 2023
Distribution based MIL pooling filters: Experiments on a lymph node metastases dataset.
Medical Image Anal., 2023
CoRR, 2023
Context-aware deep network for coronary artery stenosis classification in coronary CT angiography.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine.
Patterns, 2022
An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases.
Patterns, 2022
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study.
Patterns, 2022
Neurocomputing, 2022
A Deep Learning Network for the Classification of Intracardiac Electrograms in Atrial Tachycardia.
CoRR, 2022
Bag of Visual Words (BoVW) with Deep Features - Patch Classification Model for Limited Dataset of Breast Tumours.
CoRR, 2022
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022
2021
Automated Deep Learning Analysis of Angiography Video Sequences for Coronary Artery Disease.
CoRR, 2021
An end-to-end breast tumour classification model using context-based patch modelling - A BiLSTM approach for image classification.
Comput. Medical Imaging Graph., 2021
Proceedings of the Computer Security - ESORICS 2021, 2021
2020
Theoretical and experimental analysis on the generalizability of distribution regression network.
Neurocomputing, 2020
Regional Registration of Whole Slide Image Stacks Containing Highly Deformed Artefacts.
CoRR, 2020
Regional registration of whole slide image stacks containing major histological artifacts.
BMC Bioinform., 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier.
Proceedings of the 8th International Conference on Learning Representations, 2020
Interpreting mechanisms of prediction for skin cancer diagnosis using multi-task learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Cribriform pattern detection in prostate histopathological images using deep learning models.
CoRR, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
2017
2016
Application of Monte Carlo simulation with block-spin transformation based on the Mumford-Shah segmentation model to three-dimensional biomedical images.
Comput. Vis. Image Underst., 2016
2015
Cogn. Comput., 2015
2014
Comparison of multi-label graph cuts method and Monte Carlo simulation with block-spin transformation for the piecewise constant Mumford-Shah segmentation model.
Comput. Vis. Image Underst., 2014
2013
IEEE Trans. Image Process., 2013
How bioinformatics influences health informatics: usage of biomolecular sequences, expression profiles and automated microscopic image analyses for clinical needs and public health.
Health Inf. Sci. Syst., 2013
Finding Distinctive Shape Features for Automatic Hematoma Classification in Head CT Images from Traumatic Brain Injuries.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
2012
IEEE Trans. Image Process., 2012
Segmentation of neural stem cells/neurospheres in unevenly illuminated brightfield images with shading reduction.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Segmentation of neural stem cells/neurospheres in high content brightfield microscopy images using localized level sets.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012
2011
A Variational Model for Segmentation of Overlapping Objects With Additive Intensity Value.
IEEE Trans. Image Process., 2011
2010
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity.
BMC Bioinform., 2010
Subspace Descriptor for Texture and its Applications.
Proceedings of the 2010 International Conference on Image Processing, 2010
2009
Automated Protein Distribution Detection in High-Throughput Image-Based siRNA Library Screens.
J. Signal Process. Syst., 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Supervised Texture Segmentation Using the Subspace Mumford-Shah Model.
Proceedings of the 2009 International Conference on Image Processing, 2009
Segmentation of Semi-transparent Objects Using a Variant of the Mumford-Shah Model.
Proceedings of the 2009 International Conference on Image Processing, 2009
2008
IEEE Trans. Image Process., 2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
2006
2005
Comput. Phys. Commun., 2005