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ORCIDSudanthi N. R. Wijewickrema
Person information
- affiliation: University of Melbourne, Faculty of Medicine, Australia
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Books and Theses
- 2020
[b1]Sudanthi N. R. Wijewickrema:
Reconstruction of quadrics from two silhouettes : with an application to automated fruit grading. Monash University, Australia, 2020
Journal Articles
- 2022
- [j5]Kh Tohidul Islam
, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary:
A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images. Sensors 22(2): 523 (2022) - 2020
- [j4]Kh Tohidul Islam, Ram Gopal Raj, Syed Mohammed Shamsul Islam, Sudanthi N. R. Wijewickrema, Md. Sazzad Hossain, Tayla Razmovski, Stephen J. O'Leary:
A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication. Sensors 20(12): 3578 (2020) - 2019
- [j3]Kh Tohidul Islam, Sudanthi N. R. Wijewickrema, Ram Gopal Raj, Stephen J. O'Leary:
Street Sign Recognition Using Histogram of Oriented Gradients and Artificial Neural Networks. J. Imaging 5(4): 44 (2019) - [j2]Kh Tohidul Islam, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary:
A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks. PeerJ Comput. Sci. 5: e181 (2019) - 2013
- [j1]N. Chernov, Sudanthi N. R. Wijewickrema:
Algorithms for projecting points onto conics. J. Comput. Appl. Math. 251: 8-21 (2013)
Conference and Workshop Papers
- 2020
- [c30]Jesslyn Lamtara, Nathan Hanegbi, Benjamin Talks, Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, James Bailey, Stephen J. O'Leary:
Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery. AIED (1) 2020: 296-308 - [c29]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Segmented Pairwise Distance for Time Series with Large Discontinuities. IJCNN 2020: 1-8 - [c28]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. IJCNN 2020: 1-8 - [c27]Kh Tohidul Islam, Sudanthi N. R. Wijewickrema, Aaron Collins, Stephen J. O'Leary:
A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images. VISIGRAPP (5: VISAPP) 2020: 286-293 - 2019
- [c26]Myles Davaris, Sudanthi N. R. Wijewickrema, Yun Zhou, Patorn Piromchai, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training. AIED (1) 2019: 96-109 - [c25]Kh Tohidul Islam, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary:
Identifying Diabetic Retinopathy from OCT Images using Deep Transfer Learning with Artificial Neural Networks. CBMS 2019: 281-286 - [c24]Cassandra Williams, Sudanthi N. R. Wijewickrema, Patorn Piromchai, Stephen J. O'Leary:
The Effect of Practice Distribution on Skill Retention in Virtual Reality Temporal Bone Surgery Training. CBMS 2019: 495-500 - 2018
- [c23]Sudanthi N. R. Wijewickrema, Xingjun Ma, Patorn Piromchai, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better? AIED (1) 2018: 584-598 - [c22]Sudanthi N. R. Wijewickrema, Bridget Copson, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear. CBMS 2018: 12-17 - [c21]Kh Tohidul Islam, Sudanthi N. R. Wijewickrema, Masud Pervez, Stephen J. O'Leary:
An Exploration of Deep Transfer Learning for Food Image Classification. DICTA 2018: 1-5 - [c20]Kh Tohidul Islam, Sudanthi N. R. Wijewickrema, Masud Pervez, Stephen J. O'Leary:
Road Trail Classification using Color Images for Autonomous Vehicle Navigation. DICTA 2018: 1-5 - [c19]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Grant Schoenebeck, Dawn Song, Michael E. Houle, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. ICLR 2018 - [c18]Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. ICML 2018: 3361-3370 - 2017
- [c17]Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Bridget Copson, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Simulation for Training Cochlear Implant Electrode Insertion. CBMS 2017: 1-6 - [c16]Sudanthi N. R. Wijewickrema, Bridget Copson, Yun Zhou, Xingjun Ma, Robert Briggs, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery. CBMS 2017: 7-12 - [c15]Xingjun Ma, Sudanthi N. R. Wijewickrema, Shuo Zhou, Yun Zhou, Zakaria Mhammedi, Stephen J. O'Leary, James Bailey:
Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training. IJCAI 2017: 3763-3769 - [c14]Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey:
Providing Effective Real-Time Feedback in Simulation-Based Surgical Training. MICCAI (2) 2017: 566-574 - [c13]S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski:
Parameter-free hierarchical image segmentation. VCIP 2017: 1-4 - 2016
- [c12]S. M. Abdullah, Peter E. Tischer, Sudanthi N. R. Wijewickrema, Andrew P. Paplinski:
Hierarchical Mutual Nearest Neighbour Image Segmentation. DICTA 2016: 1-8 - [c11]Sudanthi N. R. Wijewickrema, Yun Zhou, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Provision of automated step-by-step procedural guidance in virtual reality surgery simulation. VRST 2016: 69-72 - 2015
- [c10]Sudanthi N. R. Wijewickrema, Ioanna Ioannou, Yun Zhou, Patorn Piromchai, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Region-Specific Automated Feedback in Temporal Bone Surgery Simulation. CBMS 2015: 310-315 - [c9]Yun Zhou, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Automated Segmentation of Surgical Motion for Performance Analysis and Feedback. MICCAI (1) 2015: 379-386 - 2014
- [c8]Yun Zhou, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, James Bailey, Patorn Piromchai, Gregor E. Kennedy, Stephen J. O'Leary:
Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration. ICPR 2014: 1916-1921 - [c7]Sudanthi N. R. Wijewickrema, Ioanna Ioannou, Yun Zhou, Patorn Piromchai, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
A Temporal Bone Surgery Simulator with Real-Time Feedback for Surgical Training. MMVR 2014: 462-468 - 2013
- [c6]Sudanthi N. R. Wijewickrema, Ioanna Ioannou, Gregor E. Kennedy:
Adaptation of marching cubes for the simulation of material removal from segmented volume data. CBMS 2013: 29-34 - [c5]Yun Zhou, James Bailey, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, Gregor E. Kennedy, Stephen J. O'Leary:
Constructive Real Time Feedback for a Temporal Bone Simulator. MICCAI (3) 2013: 315-322 - [c4]Yun Zhou, James Bailey, Ioanna Ioannou, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Gregor E. Kennedy:
Pattern-based real-time feedback for a temporal bone simulator. VRST 2013: 7-16 - 2009
- [c3]Sudanthi N. R. Wijewickrema, Charles E. Esson, Andrew P. Paplinski:
A Novel Approach to Orthogonal Distance Least Squares Fitting of General Conics. VISAPP (1) 2009: 138-145 - [c2]Sudanthi N. R. Wijewickrema, Charles E. Esson, Andrew P. Paplinski:
Orthogonal Distance Least Squares Fitting: A Novel Approach. VISIGRAPP (Selected Papers) 2009: 255-268 - 2006
- [c1]Sudanthi N. R. Wijewickrema, Andrew P. Paplinski, Charles E. Esson:
Reconstruction of Spheres using Occluding Contours from Stereo Images. ICPR (1) 2006: 151-154
Informal and Other Publications
- 2024
- [i10]Yuansan Liu, Sudanthi N. R. Wijewickrema, Christofer Bester, Stephen J. O'Leary, James Bailey:
Time Series Representation Learning with Supervised Contrastive Temporal Transformer. CoRR abs/2403.10787 (2024) - 2023
- [i9]Yuansan Liu, Sudanthi N. R. Wijewickrema, Ang Li, Christofer Bester, Stephen J. O'Leary, James Bailey:
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation. CoRR abs/2312.11714 (2023) - 2020
- [i8]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Learning Non-Unique Segmentation with Reward-Penalty Dice Loss. CoRR abs/2009.10987 (2020) - [i7]Jiabo He, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Stephen J. O'Leary, Kotagiri Ramamohanarao:
Segmented Pairwise Distance for Time Series with Large Discontinuities. CoRR abs/2009.11013 (2020) - 2018
- [i6]Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi N. R. Wijewickrema, Michael E. Houle, Grant Schoenebeck, Dawn Song, James Bailey:
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality. CoRR abs/1801.02613 (2018) - [i5]Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi N. R. Wijewickrema, James Bailey:
Dimensionality-Driven Learning with Noisy Labels. CoRR abs/1806.02612 (2018) - 2017
- [i4]Xingjun Ma, James Bailey, Sudanthi N. R. Wijewickrema, Shuo Zhou, Zakaria Mhammedi, Yun Zhou, Stephen J. O'Leary:
Extracting Real-time Feedback with Neural Networks for Simulation-based Learning. CoRR abs/1703.01460 (2017) - [i3]Xingjun Ma, Chunping Li, James Bailey, Sudanthi N. R. Wijewickrema:
Finding Influentials in Twitter: A Temporal Influence Ranking Model. CoRR abs/1703.01468 (2017) - [i2]Sudanthi N. R. Wijewickrema, Xingjun Ma, James Bailey, Gregor E. Kennedy, Stephen J. O'Leary:
Feedback Techniques in Computer-Based Simulation Training: A Survey. CoRR abs/1705.04683 (2017) - [i1]Xingjun Ma, Sudanthi N. R. Wijewickrema, Yun Zhou, Shuo Zhou, Stephen J. O'Leary, James Bailey:
Providing Effective Real-time Feedback in Simulation-based Surgical Training. CoRR abs/1706.10036 (2017)
Coauthor Index
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