Tracking Techniques in Air Vehicle-Based Decentralized Sensor Networks. - Matthew Ridley; Lee-Ling Sharon Ong; Eric Nettleton; Salah Sukkarieh (Handbook of Sensor Networks, 2004)

Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network. - Ben Upcroft; Bertrand Douillard; Tobias Kaupp; Matthew Ridley; Lee-Ling S. Ong; Suresh Kumar; Tim Bailey; Fabio Ramos 001; Salah Sukkarieh; Hugh F. Durrant-Whyte (CDC, 2006)

A decentralised particle filtering algorithm for multi-target tracking across multiple flight vehicles. - Lee-Ling S. Ong; Ben Upcroft; Tim Bailey; Matthew Ridley; Salah Sukkarieh; Hugh F. Durrant-Whyte (IROS, 2006)

Multi-level State Estimation in an Outdoor Decentralised Sensor Network. - Ben Upcroft; Matthew Ridley; Lee-Ling S. Ong; Bertrand Douillard; Tobias Kaupp; Suresh Kumar; Tim Bailey; Fabio T. Ramos 001; Alexei Makarenko; Alex Brooks; Salah Sukkarieh; Hugh F. Durrant-Whyte (ISER, 2006)

Consistent methods for Decentralised Data Fusion using Particle Filters. - Lee-Ling S. Ong; Ben Upcroft; Matthew Ridley; Tim Bailey; Salah Sukkarieh; Hugh F. Durrant-Whyte (MFI, 2006)

Decentralised particle filtering for multiple target tracking in wireless sensor networks. - Lee-Ling S. Ong; Tim Bailey; Hugh F. Durrant-Whyte; Ben Upcroft (FUSION, 2008)

A Price-based Adaptive Task Allocation for Wireless Sensor Network. - Neda Edalat; Wendong Xiao; Chen-Khong Tham; Ehsan Keikha; Lee-Ling S. Ong (MASS, 2009)

Resource Constrained Particle Filtering for Real-time Multi-Target Tracking in Sensor Networks. - Lee-Ling S. Ong; Wendong Xiao; Chen-Khong Tham; Marcelo H. Ang (PerCom Workshops, 2009)

Tracking of cell population from time lapse and end point confocal microscopy images with multiple hypothesis Kalman smoothing filters. - Lee-Ling S. Ong; Marcelo H. Ang Jr.; H. Harry Asada (CVPR Workshops, 2010)

Stochastic tracking of migrating live cells interacting with 3D gel environment using augmented-space particle filters. - Lee-Ling S. Ong; Levi Wood; Marcelo H. Ang; H. Harry Asada (IROS, 2011)

Simultaneous tracking of cell nuclei and conduit parameters from time-lapse confocal microscopy images. - Lee-Ling S. Ong; Marcelo H. Ang; H. Harry Asada (ISBI, 2011)

2D data-driven stalk cell prediction model based on tip-stalk cell interaction in angiogenesis. - Mengmeng Wang; Lee-Ling Sharon Ong; Justin Dauwels; H. Harry Asada (EMBC, 2013)

Segmentation of densely populated cell nuclei from confocal image stacks using 3D non-parametric shape priors. - Lee-Ling S. Ong; Mengmeng Wang; Justin Dauwels; H. Harry Asada (EMBC, 2014)

A Bayesian filtering approach to incorporate 2D/3D time-lapse confocal images for tracking angiogenic sprouting cells interacting with the gel matrix. - Lee-Ling S. Ong; Justin Dauwels; Marcelo H. Ang Jr.; H. Harry Asada (Medical Image Anal., 2014)

Automated tracking of cells from phase contrast images by multiple hypothesis Kalman filters. - Mengmeng Wang; Lee-Ling Sharon Ong; Justin Dauwels; H. Harry Asada (ICASSP, 2015)

Automatic detection of endothelial cells in 3D angiogenic sprouts from experimental phase contrast images. - Mengmeng Wang; Lee-Ling Sharon Ong; Justin Dauwels; H. Harry Asada (Image Processing, 2015)

Detecting cell division of Pseudomonas aeruginosa bacteria from bright-field microscopy images with hidden conditional random fields. - Lee-Ling S. Ong; Xinghua Zhang; Binu Kundukad; Justin Dauwels; Patrick Doyle; H. Harry Asada (EMBC, 2016)

Image classification of unlabeled malaria parasites in red blood cells. - Zheng Zhang; Lee-Ling Sharon Ong; Kong Fang; Athul Matthew; Justin Dauwels; Ming Dao; H. Harry Asada (EMBC, 2016)

Eleven quick tips for running an interdisciplinary short course for new graduate students. - Timothy E. Saunders; Cynthia Y. He; Patrice Koehl; Lee-Ling Sharon Ong; Peter T. C. So (PLoS Comput. Biol., 2018)

A Robotic Microscope System to Examine T Cell Receptor Acuity Against Tumor Neoantigens: A New Tool for Cancer Immunotherapy Research. - Lee-Ling Sharon Ong; Hai Zhu; Debasis Banik; Zhenping Guan; Yinnian Feng; Ellis L. Reinherz; Matthew J. Lang; H. Harry Asada (IEEE Robotics Autom. Lett., 2019)

Deep Learning Classifiers to Reduce False Positives in Osteolytic Lesion Segmentation Results from Low-Dose CT Scans of Multiple Myeloma. - Martijn P. van Leeuwen; Munirdin Jadikar; Thijs van Oudheusden; Sebastiaan Oei; Bastiaan Steunenberg; Rik Kint; Erik R. Ranschaert; Gerlof P. T. Bosma; Gorkem Saygili; Lee-Ling Sharon Ong (BNAIC/BENELEARN, 2023)

Face the Needle: Predicting Risk of Fear and Fainting During Blood Donation Through Video Analysis. - Judita Rudokaite; Itir Önal Ertugrul; Lee-Ling Sharon Ong; Mart P. Janssen; Elisabeth Huis in 't Veld (FG, 2024)

Fully Automatic Meningioma Segmentation with nnUNet Using T1-Weighted Contrast-Enhanced MR Images by Leveraging Publicly Available Data and Different Types of Annotations. - Sander M. Boelders; Wouter De Baene; Geert-Jan Rutten; Karin Gehring; Lee-Ling S. Ong (LOD (3), 2024)

Predicting Cognitive Functioning for Patients with a High-Grade Glioma: Evaluating Different Representations of Tumor Location in a Common Space. - Sander M. Boelders; Wouter De Baene; Eric O. Postma; Karin Gehring; Lee-Ling Sharon Ong (Neuroinformatics, 2024)