Reconstruction of Spheres using Occluding Contours from Stereo Images. - Sudanthi N. R. Wijewickrema; Andrew P. Paplinski; Charles E. Esson (ICPR (1), 2006)

A Novel Approach to Orthogonal Distance Least Squares Fitting of General Conics. - Sudanthi N. R. Wijewickrema; Charles E. Esson; Andrew P. Paplinski (VISAPP (1), 2009)

Orthogonal Distance Least Squares Fitting: A Novel Approach. - Sudanthi N. R. Wijewickrema; Charles E. Esson; Andrew P. Paplinski (VISIGRAPP (Selected Papers), 2009)

Adaptation of marching cubes for the simulation of material removal from segmented volume data. - Sudanthi N. R. Wijewickrema; Ioanna Ioannou; Gregor E. Kennedy (CBMS, 2013)

Constructive Real Time Feedback for a Temporal Bone Simulator. - Yun Zhou 002; James Bailey 001; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; Gregor E. Kennedy; Stephen J. O'Leary (MICCAI (3), 2013)

Pattern-based real-time feedback for a temporal bone simulator. - Yun Zhou 002; James Bailey 001; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; Stephen J. O'Leary; Gregor E. Kennedy (VRST, 2013)

Algorithms for projecting points onto conics. - N. Chernov; Sudanthi N. R. Wijewickrema (J. Comput. Appl. Math., 2013)

Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration. - Yun Zhou 002; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; James Bailey 001; Patorn Piromchai; Gregor E. Kennedy; Stephen J. O'Leary (ICPR, 2014)

A Temporal Bone Surgery Simulator with Real-Time Feedback for Surgical Training. - Sudanthi N. R. Wijewickrema; Ioanna Ioannou; Yun Zhou 002; Patorn Piromchai; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (MMVR, 2014)

Region-Specific Automated Feedback in Temporal Bone Surgery Simulation. - Sudanthi N. R. Wijewickrema; Ioanna Ioannou; Yun Zhou 002; Patorn Piromchai; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2015)

Automated Segmentation of Surgical Motion for Performance Analysis and Feedback. - Yun Zhou 002; Ioanna Ioannou; Sudanthi N. R. Wijewickrema; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (MICCAI (1), 2015)

Hierarchical Mutual Nearest Neighbour Image Segmentation. - S. M. Abdullah; Peter E. Tischer; Sudanthi N. R. Wijewickrema; Andrew P. Paplinski (DICTA, 2016)

Provision of automated step-by-step procedural guidance in virtual reality surgery simulation. - Sudanthi N. R. Wijewickrema; Yun Zhou 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (VRST, 2016)

Simulation for Training Cochlear Implant Electrode Insertion. - Xingjun Ma; Sudanthi N. R. Wijewickrema; Yun Zhou 002; Bridget Copson; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2017)

Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. - Sudanthi N. R. Wijewickrema; Bridget Copson; Yun Zhou 002; Xingjun Ma; Robert Briggs 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2017)

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. - Xingjun Ma; Sudanthi N. R. Wijewickrema; Shuo Zhou 001; Yun Zhou 002; Zakaria Mhammedi; Stephen J. O'Leary; James Bailey 001 (IJCAI, 2017)

Providing Effective Real-Time Feedback in Simulation-Based Surgical Training. - Xingjun Ma; Sudanthi N. R. Wijewickrema; Yun Zhou 002; Shuo Zhou 001; Stephen J. O'Leary; James Bailey 001 (MICCAI (2), 2017)

Parameter-free hierarchical image segmentation. - S. M. Abdullah; Peter E. Tischer; Sudanthi N. R. Wijewickrema; Andrew P. Paplinski (VCIP, 2017)

Extracting Real-time Feedback with Neural Networks for Simulation-based Learning. - Xingjun Ma; James Bailey 001; Sudanthi N. R. Wijewickrema; Shuo Zhou 001; Zakaria Mhammedi; Yun Zhou 002; Stephen J. O'Leary (CoRR, 2017)

Finding Influentials in Twitter: A Temporal Influence Ranking Model. - Xingjun Ma; Chunping Li; James Bailey 001; Sudanthi N. R. Wijewickrema (CoRR, 2017)

Feedback Techniques in Computer-Based Simulation Training: A Survey. - Sudanthi N. R. Wijewickrema; Xingjun Ma; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CoRR, 2017)

Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? - Sudanthi N. R. Wijewickrema; Xingjun Ma; Patorn Piromchai; Robert Briggs 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (AIED (1), 2018)

Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. - Sudanthi N. R. Wijewickrema; Bridget Copson; Xingjun Ma; Robert Briggs 002; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (CBMS, 2018)

An Exploration of Deep Transfer Learning for Food Image Classification. - Kh Tohidul Islam; Sudanthi N. R. Wijewickrema; Masud Pervez; Stephen J. O'Leary (DICTA, 2018)

Road Trail Classification using Color Images for Autonomous Vehicle Navigation. - Kh Tohidul Islam; Sudanthi N. R. Wijewickrema; Masud Pervez; Stephen J. O'Leary (DICTA, 2018)

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. - Xingjun Ma; Bo Li 026; Yisen Wang 001; Sarah M. Erfani; Sudanthi N. R. Wijewickrema; Grant Schoenebeck; Dawn Song; Michael E. Houle; James Bailey 001 (ICLR, 2018)

Dimensionality-Driven Learning with Noisy Labels. - Xingjun Ma; Yisen Wang 001; Michael E. Houle; Shuo Zhou 001; Sarah M. Erfani; Shu-Tao Xia; Sudanthi N. R. Wijewickrema; James Bailey 001 (ICML, 2018)

The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training. - Myles Davaris; Sudanthi N. R. Wijewickrema; Yun Zhou 002; Patorn Piromchai; James Bailey 001; Gregor E. Kennedy; Stephen J. O'Leary (AIED (1), 2019)

Identifying Diabetic Retinopathy from OCT Images using Deep Transfer Learning with Artificial Neural Networks. - Kh Tohidul Islam; Sudanthi N. R. Wijewickrema; Stephen J. O'Leary (CBMS, 2019)

The Effect of Practice Distribution on Skill Retention in Virtual Reality Temporal Bone Surgery Training. - Cassandra Williams; Sudanthi N. R. Wijewickrema; Patorn Piromchai; Stephen J. O'Leary (CBMS, 2019)

Street Sign Recognition Using Histogram of Oriented Gradients and Artificial Neural Networks. - Kh Tohidul Islam; Sudanthi N. R. Wijewickrema; Ram Gopal Raj; Stephen J. O'Leary (J. Imaging, 2019)

A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks. - Kh Tohidul Islam; Sudanthi N. R. Wijewickrema; Stephen J. O'Leary (PeerJ Comput. Sci., 2019)

Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. - Jesslyn Lamtara; Nathan Hanegbi; Benjamin Talks; Sudanthi N. R. Wijewickrema; Xingjun Ma; Patorn Piromchai; James Bailey 001; Stephen J. O'Leary (AIED (1), 2020)

Segmented Pairwise Distance for Time Series with Large Discontinuities. - Jiabo He; Sarah M. Erfani; Sudanthi N. R. Wijewickrema; Stephen J. O'Leary; Kotagiri Ramamohanarao (IJCNN, 2020)

Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. - Jiabo He; Sarah M. Erfani; Sudanthi N. R. Wijewickrema; Stephen J. O'Leary; Kotagiri Ramamohanarao (IJCNN, 2020)

A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images. - Kh Tohidul Islam; Sudanthi N. R. Wijewickrema; Aaron Collins; Stephen J. O'Leary (VISIGRAPP (5: VISAPP), 2020)

A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication. - Kh Tohidul Islam; Ram Gopal Raj; Syed Mohammed Shamsul Islam; Sudanthi N. R. Wijewickrema; Md. Sazzad Hossain; Tayla Razmovski; Stephen J. O'Leary (Sensors, 2020)

Reconstruction of quadrics from two silhouettes : with an application to automated fruit grading. - Sudanthi N. R. Wijewickrema (2020)

A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images. - Kh Tohidul Islam; Sudanthi N. R. Wijewickrema; Stephen J. O'Leary (Sensors, 2022)

Time Series Representation Learning with Supervised Contrastive Temporal Transformer. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Christofer Bester; Stephen J. O'Leary; James Bailey 001 (IJCNN, 2024)

Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Ang Li; Christofer Bester; Stephen J. O'Leary; James Bailey 001 (SDM, 2024)

Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Dongting Hu; Christofer Bester; Stephen J. O'Leary; James Bailey 001 (CoRR, 2024)

Artificial Intelligence Assurance in Head and Neck Surgery: Now and Next. - Yuansan Liu; Sudanthi N. R. Wijewickrema; Bridget Copson; Jean-Marc Gerard; Sameer Antani (CBMS, 2025)