| Deep belief networks and stacked autoencoders for the p300 guilty knowledge test JP Kulasingham, V Vibujithan, AC De Silva 2016 IEEE EMBS conference on biomedical engineering and sciences (IECBES …, 2016 | 28 | 2016 |
| Reconstruction of coronary circulation networks: A review of methods V Vigneshwaran, GB Sands, IJ LeGrice, BH Smaill, NP Smith Microcirculation 26 (5), e12542, 2019 | 11 | 2019 |
| Identifying biases in a multicenter MRI database for Parkinson's disease classification: Is the disease classifier a secret site classifier? R Souza, A Winder, EAM Stanley, V Vigneshwaran, M Camacho, ... IEEE Journal of Biomedical and Health Informatics, 2024 | 7 | 2024 |
| P300 speller for local languages using Support Vector Machines JP Kulasingham, V Vibujithan, WAR Kithmini, Y Kumara, AC De Silva 2016 IEEE International Conference on Information and Automation for …, 2016 | 3 | 2016 |
| Improved multi-site Parkinson’s disease classification using neuroimaging data with counterfactual inference V Vigneshwaran, M Wilms, MIC Camacho, R Souza, N Forkert Medical Imaging with Deep Learning, 1304-1317, 2024 | 2 | 2024 |
| The causal link between cardiometabolic risk factors and gray matter atrophy: An exploratory study V Vigneshwaran, M Wilms, ND Forkert Heliyon 9 (11), 2023 | 1 | 2023 |
| Extended‐volume image‐derived models of coronary microcirculation V Vigneshwaran, CL Sy, BH Smaill, GB Sands, NP Smith Microcirculation 30 (5-6), e12820, 2023 | 1 | 2023 |
| A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children M Wilms, AO Ahsan, EY Ohara, G Dagasso, E Macavoy, EAM Stanley, ... International Workshop on Machine Learning in Clinical Neuroimaging, 57-67, 2025 | | 2025 |
| MACAW: A Causal Generative Model for Medical Imaging V Vigneshwaran, E Ohara, M Wilms, N Forkert arXiv preprint arXiv:2412.02900, 2024 | | 2024 |
| MACAW 3D: A masked causal normalizing flow method for counterfactual 3D brain image generation EY Ohara, F Vamosi, H Patil, V Vigneshwaran, M Wilms, ND Forkert Medical Imaging 2024: Imaging Informatics for Healthcare, Research, and …, 2024 | | 2024 |
| Integrating multi-level Autoencoders and Causal Autoregressive Flows for Generating Counterfactual Brain Images V Vigneshwaran, E Ohara, M Wilms, N Forkert Medical Imaging with Deep Learning, 2024 | | 2024 |
| Image-Based Tools and Analysis for Human RVOT/RV Structures ML Trew, GB Sands, Z Yang, JL Ashton, V Vigneshwaran, RD Walton, ... 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Structural analysis of coronary microcirculation in normal and diseased hearts V Vigneshwaran PhD Thesis-University of Auckland, 2021 | | 2021 |
| Degradation and plasticity in convolutional neural networks: An investigation of internal representations JA Moore, V Vigneshwaran, M Wilms, N Forkert UniReps: the First Workshop on Unifying Representations in Neural Models, 0 | | |
Nils Daniel ForkertUniveristy Of CalgaryVerified email at ucalgary.ca
