Sudanthi N. R. Wijewickrema

Orcid: 0000-0001-8015-8577

Affiliations:
  • University of Melbourne, Faculty of Medicine, Australia


According to our database1, Sudanthi N. R. Wijewickrema authored at least 42 papers between 2006 and 2024.

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Bibliography

2024
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting.
CoRR, 2024

Time-Transformer: Integrating Local and Global Features for Better Time Series Generation.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Time Series Representation Learning with Supervised Contrastive Temporal Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2024

2022
A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images.
Sensors, 2022

2020
Reconstruction of quadrics from two silhouettes : with an application to automated fruit grading.
PhD thesis, 2020

A Vision-Based Machine Learning Method for Barrier Access Control Using Vehicle License Plate Authentication.
Sensors, 2020

A Deep Transfer Learning Framework for Pneumonia Detection from Chest X-ray Images.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Learning Non-Unique Segmentation with Reward-Penalty Dice Loss.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Segmented Pairwise Distance for Time Series with Large Discontinuities.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Transfer of Automated Performance Feedback Models to Different Specimens in Virtual Reality Temporal Bone Surgery.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks.
PeerJ Comput. Sci., 2019

Street Sign Recognition Using Histogram of Oriented Gradients and Artificial Neural Networks.
J. Imaging, 2019

The Effect of Practice Distribution on Skill Retention in Virtual Reality Temporal Bone Surgery Training.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Identifying Diabetic Retinopathy from OCT Images using Deep Transfer Learning with Artificial Neural Networks.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

The Importance of Automated Real-Time Performance Feedback in Virtual Reality Temporal Bone Surgery Training.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Dimensionality-Driven Learning with Noisy Labels.
Proceedings of the 35th International Conference on Machine Learning, 2018

Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.
Proceedings of the 6th International Conference on Learning Representations, 2018

Road Trail Classification using Color Images for Autonomous Vehicle Navigation.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

An Exploration of Deep Transfer Learning for Food Image Classification.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Development and Validation of a Virtual Reality Tutor to Teach Clinically Oriented Surgical Anatomy of the Ear.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Providing Automated Real-Time Technical Feedback for Virtual Reality Based Surgical Training: Is the Simpler the Better?
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Feedback Techniques in Computer-Based Simulation Training: A Survey.
CoRR, 2017

Finding Influentials in Twitter: A Temporal Influence Ranking Model.
CoRR, 2017

Extracting Real-time Feedback with Neural Networks for Simulation-based Learning.
CoRR, 2017

Parameter-free hierarchical image segmentation.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Providing Effective Real-Time Feedback in Simulation-Based Surgical Training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Design and Evaluation of a Virtual Reality Simulation Module for Training Advanced Temporal Bone Surgery.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Simulation for Training Cochlear Implant Electrode Insertion.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
Provision of automated step-by-step procedural guidance in virtual reality surgery simulation.
Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology, 2016

Hierarchical Mutual Nearest Neighbour Image Segmentation.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2015
Automated Segmentation of Surgical Motion for Performance Analysis and Feedback.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Region-Specific Automated Feedback in Temporal Bone Surgery Simulation.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
A Temporal Bone Surgery Simulator with Real-Time Feedback for Surgical Training.
Proceedings of the Medicine Meets Virtual Reality 21 - NextMed, 2014

Transfer Learning of a Temporal Bone Performance Model via Anatomical Feature Registration.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Algorithms for projecting points onto conics.
J. Comput. Appl. Math., 2013

Pattern-based real-time feedback for a temporal bone simulator.
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology, 2013

Constructive Real Time Feedback for a Temporal Bone Simulator.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Adaptation of marching cubes for the simulation of material removal from segmented volume data.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2009
Orthogonal Distance Least Squares Fitting: A Novel Approach.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2009

A Novel Approach to Orthogonal Distance Least Squares Fitting of General Conics.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

2006
Reconstruction of Spheres using Occluding Contours from Stereo Images.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006


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