Chi-En Amy Tai

According to our database, Chi-En Amy Tai authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Yuhao Chen, Alexander Wong

CoRR, 2024

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

2023

NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation.

Saeejith Nair, Chi-En Amy Tai, Yuhao Chen, Alexander Wong

CoRR, 2023

FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation.

Olivia Markham, Yuhao Chen, 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, 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, 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

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

Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions.

Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi

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

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

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, Pengcheng Xi, Alexander Wong

CoRR, 2023

NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation.

Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong

CoRR, 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

Proceedings of the Applications of Medical Artificial Intelligence, 2023

NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches.

Chi-En Amy Tai, Matthew Keller, Saeejith Nair, Yuhao Chen, Yifan Wu, Olivia Markham, Krish Parmar, Pengcheng Xi, Heather H. Keller, Sharon Kirkpatrick, Alexander Wong

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

2022

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

2021

Energy Efficiency Analysis of Post-Quantum Cryptographic Algorithms.

Crystal Andrea Roma, Chi-En Amy Tai, M. Anwar Hasan

IEEE Access, 2021