Energy Efficiency Analysis of Post-Quantum Cryptographic Algorithms. - Crystal Andrea Roma; Chi-En Amy Tai; M. Anwar Hasan (IEEE Access, 2021)

Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. - Chi-En Amy Tai; Nedim Hodzic; Nic Flanagan; Hayden Gunraj; Alexander Wong (CoRR, 2022)

NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. - Chi-En Amy Tai; Matthew Keller; Saeejith Nair; Yuhao Chen 001; Yifan Wu 004; Olivia Markham; Krish Parmar; Pengcheng Xi; Heather H. Keller; Sharon Kirkpatrick; Alexander Wong (MADiMa@MM, 2023)

Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging. - Chi-En Amy Tai; Hayden Gunraj; Nedim Hodzic; Nic Flanagan; Ali Sabri; Alexander Wong (AMAI@MICCAI, 2023)

NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. - Chi-En Amy Tai; Matthew Keller; Mattie Kerrigan; Yuhao Chen 001; Saeejith Nair; Pengcheng Xi; Alexander Wong (CoRR, 2023)

NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. - Chi-En Amy Tai; Jason Li; Sriram Kumar; Saeejith Nair; Yuhao Chen 001; Pengcheng Xi; Alexander Wong (CoRR, 2023)

A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. - Chi-En Amy Tai; Hayden Gunraj; Alexander Wong (CoRR, 2023)

Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. - Chi-En Amy Tai; Hayden Gunraj; Alexander Wong (CoRR, 2023)

Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions. - Grant Sinha; Krish Parmar; Hilda Azimi; Chi-En Amy Tai; Yuhao Chen 001; Alexander Wong; Pengcheng Xi (CoRR, 2023)

Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. - Hayden Gunraj; Chi-En Amy Tai; Alexander Wong (CoRR, 2023)

Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images. - Chi-En Amy Tai; Elizabeth Janes; Chris Czarnecki; Alexander Wong (CoRR, 2023)

COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics. - Yifan Wu 004; Hayden Gunraj; Chi-En Amy Tai; Alexander Wong (CoRR, 2023)

Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion. - Aditya Sridhar; Chi-En Amy Tai; Hayden Gunraj; Yuhao Chen 001; Alexander Wong (CoRR, 2023)

FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation. - Olivia Markham; Yuhao Chen 001; Chi-En Amy Tai; Alexander Wong (CoRR, 2023)

NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation. - Saeejith Nair; Chi-En Amy Tai; Yuhao Chen 001; Alexander Wong (CoRR, 2023)

Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. - Hossein Aboutalebi; Mohammad Javad Shafiee; Chi-En Amy Tai; Alexander Wong (IEEE Access, 2024)

NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation. - Chi-En Amy Tai; Saeejith Nair; Olivia Markham; Matthew Keller; Yifan Wu 004; Yuhao Chen 001; Alexander Wong (CoRR, 2024)

NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images. - Matthew Keller; Chi-En Amy Tai; Yuhao Chen 001; Pengcheng Xi; Alexander Wong (CoRR, 2024)

Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction. - Chi-En Amy Tai; Alexander Wong (CoRR, 2024)

Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging. - Chi-En Amy Tai; Alexander Wong (CoRR, 2024)

Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer. - Chi-En Amy Tai; Alexander Wong (CoRR, 2024)

Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation. - Chi-En Amy Tai; Alexander Wong (CoRR, 2024)

Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities. - Benjamin Ng; Chi-En Amy Tai; E. Zhixuan Zeng; Alexander Wong (CoRR, 2024)

Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification. - Chi-En Amy Tai; Oustan Ding; Alexander Wong (CoRR, 2024)

Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging. - Jarett Dewbury; Chi-En Amy Tai; Alexander Wong (CoRR, 2025)