Chi-En Amy Tai

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 23

Top Topics

Diffusion Imaging

Top Venues

Publications

Hossein Aboutalebi, Mohammad Javad Shafiee, Chi-En Amy Tai, Alexander Wong
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating. IEEE Access 12 (2024)
Chi-En Amy Tai, Alexander Wong
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction. CoRR (2024)
Chi-En Amy Tai, Alexander Wong
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer. CoRR (2024)
Matthew Keller, Chi-En Amy Tai, Yuhao Chen, Pengcheng Xi, Alexander Wong
NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images. CoRR (2024)
Chi-En Amy Tai, Alexander Wong
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging. CoRR (2024)
Chi-En Amy Tai, Saeejith Nair, Olivia Markham, Matthew Keller, Yifan Wu, Yuhao Chen, Alexander Wong
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation. CoRR (2024)
Chi-En Amy Tai, Alexander Wong
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation. CoRR (2024)
Chi-En Amy Tai, Jason Li, Sriram Kumar, Saeejith Nair, Yuhao Chen, Pengcheng Xi, Alexander Wong
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models. CoRR (2023)
Aditya Sridhar, Chi-En Amy Tai, Hayden Gunraj, Yuhao Chen, Alexander Wong
Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion. CoRR (2023)
Yifan Wu, Hayden Gunraj, Chi-En Amy Tai, Alexander Wong
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics. CoRR (2023)
Hayden Gunraj, Chi-En Amy Tai, Alexander Wong
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR (2023)
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
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. CoRR (2023)
Chi-En Amy Tai, Hayden Gunraj, Nedim Hodzic, Nic Flanagan, Ali Sabri, Alexander Wong
Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging. AMAI@MICCAI (2023)
Olivia Markham, Yuhao Chen, Chi-En Amy Tai, Alexander Wong
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation. CoRR (2023)
Saeejith Nair, Chi-En Amy Tai, Yuhao Chen, Alexander Wong
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation. CoRR (2023)
Chi-En Amy Tai, Elizabeth Janes, Chris Czarnecki, Alexander Wong
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images. CoRR (2023)
Chi-En Amy Tai, Hayden Gunraj, Alexander Wong
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR (2023)
Chi-En Amy Tai, Matthew Keller, Mattie Kerrigan, Yuhao Chen, Saeejith Nair, Pengcheng Xi, Alexander Wong
NutritionVerse-3D: A 3D Food Model Dataset for Nutritional Intake Estimation. CoRR (2023)
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
NutritionVerse: Empirical Study of Various Dietary Intake Estimation Approaches. MADiMa@MM (2023)
Grant Sinha, Krish Parmar, Hilda Azimi, Chi-En Amy Tai, Yuhao Chen, Alexander Wong, Pengcheng Xi
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions. CoRR (2023)
Chi-En Amy Tai, Hayden Gunraj, Alexander Wong
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR (2023)
Chi-En Amy Tai, Nedim Hodzic, Nic Flanagan, Hayden Gunraj, Alexander Wong
Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR (2022)
Crystal Andrea Roma, Chi-En Amy Tai, M. Anwar Hasan
Energy Efficiency Analysis of Post-Quantum Cryptographic Algorithms. IEEE Access 9 (2021)