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Chi-En Amy Tai
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2020 – today
- 2024
- [j2]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: 48174-48188 (2024) - [i19]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 abs/2401.08598 (2024) - [i18]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 abs/2405.07814 (2024) - [i17]Chi-En Amy Tai, Alexander Wong:
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction. CoRR abs/2405.07854 (2024) - [i16]Chi-En Amy Tai, Alexander Wong:
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging. CoRR abs/2405.07861 (2024) - [i15]Chi-En Amy Tai, Alexander Wong:
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer. CoRR abs/2405.07869 (2024) - [i14]Chi-En Amy Tai, Alexander Wong:
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation. CoRR abs/2405.08049 (2024) - 2023
- [c2]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: 11-19 - [c1]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: 83-93 - [i13]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 abs/2304.05619 (2023) - [i12]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 abs/2304.05620 (2023) - [i11]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 abs/2304.05623 (2023) - [i10]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 abs/2304.05899 (2023) - [i9]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 abs/2306.09203 (2023) - [i8]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 abs/2309.07704 (2023) - [i7]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 abs/2311.11647 (2023) - [i6]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 abs/2311.11656 (2023) - [i5]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 abs/2311.17677 (2023) - [i4]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 abs/2311.18612 (2023) - [i3]Olivia Markham, Yuhao Chen, Chi-En Amy Tai, Alexander Wong:
FoodFusion: A Latent Diffusion Model for Realistic Food Image Generation. CoRR abs/2312.03540 (2023) - [i2]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 abs/2312.06192 (2023) - 2022
- [i1]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 abs/2211.05308 (2022) - 2021
- [j1]Crystal Andrea Roma, Chi-En Amy Tai, M. Anwar Hasan:
Energy Efficiency Analysis of Post-Quantum Cryptographic Algorithms. IEEE Access 9: 71295-71317 (2021)
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