Energy Efficiency Analysis of Post-Quantum Cryptographic Algorithms CA Roma, CEA Tai, MA Hasan IEEE Access 9, 71295-71317, 2021 | 14 | 2021 |
Energy consumption of round 2 submissions for NIST PQC standards C Roma, CEA Tai, MA Hasan Second PQC Standardization Conference, 2019 | 10 | 2019 |
Cancer-net bca: Breast cancer pathologic complete response prediction using volumetric deep radiomic features from synthetic correlated diffusion imaging CA Tai, N Hodzic, N Flanagan, H Gunraj, A Wong arXiv preprint arXiv:2211.05308, 2022 | 6 | 2022 |
Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging CA Tai, H Gunraj, N Hodzic, N Flanagan, A Sabri, A Wong International Workshop on Applications of Medical AI, 83-93, 2023 | 4 | 2023 |
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation CA Tai, M Keller, M Kerrigan, Y Chen, S Nair, P Xi, A Wong arXiv preprint arXiv:2304.05619, 2023 | 4 | 2023 |
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions G Sinha, K Parmar, H Azimi, A Tai, Y Chen, A Wong, P Xi arXiv preprint arXiv:2306.09203, 2023 | 2 | 2023 |
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data CA Tai, H Gunraj, A Wong arXiv preprint arXiv:2304.05623, 2023 | 2 | 2023 |
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches CA Tai, M Keller, S Nair, Y Chen, Y Wu, O Markham, K Parmar, P Xi, ... Proceedings of the 8th International Workshop on Multimedia Assisted Dietary …, 2023 | 1 | 2023 |
Foodverse: A Dataset of 3D Food Models for Nutritional Intake Estimation CA Tai, Y Chen, ME Keller, M Kerrigan, S Nair, X Pengcheng, A Wong Journal of Computational Vision and Imaging Systems 8 (1), 23-26, 2022 | 1 | 2022 |
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging CA Tai, A Wong arXiv preprint arXiv:2405.07861, 2024 | | 2024 |
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer CA Tai, A Wong arXiv preprint arXiv:2405.07869, 2024 | | 2024 |
NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images M Keller, CA Tai, Y Chen, P Xi, A Wong arXiv preprint arXiv:2405.07814, 2024 | | 2024 |
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction CA Tai, A Wong arXiv preprint arXiv:2405.07854, 2024 | | 2024 |
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-model Bounded Divergence Gating H Aboutalebi, MJ Shafiee, CA Tai, A Wong IEEE Access, 2023 | | 2023 |
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation S Nair, CA Tai, Y Chen, A Wong arXiv preprint arXiv:2312.06192, 2023 | | 2023 |
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation O Markham, Y Chen, CA Tai, A Wong arXiv preprint arXiv:2312.03540, 2023 | | 2023 |
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics Y Wu, H Gunraj, CA Tai, A Wong arXiv preprint arXiv:2311.17677, 2023 | | 2023 |
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation CA Tai, S Nair, O Markham, M Keller, Y Wu, Y Chen, A Wong arXiv preprint arXiv:2401.08598, 2023 | | 2023 |
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data H Gunraj, CA Tai, A Wong arXiv preprint arXiv:2311.11647, 2023 | | 2023 |
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images CA Tai, E Janes, C Czarnecki, A Wong arXiv preprint arXiv:2311.11656, 2023 | | 2023 |