Chi-En Amy Tai
Orcid: 0000-0001-7023-8784
According to our database1,
Chi-En Amy Tai
authored at least 22 papers
between 2021 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Optimizing Synthetic Correlated Diffusion Imaging for Breast Cancer Tumour Delineation.
CoRR, 2024
Enhancing Clinically Significant Prostate Cancer Prediction in T2-weighted Images through Transfer Learning from Breast Cancer.
CoRR, 2024
Improving Breast Cancer Grade Prediction with Multiparametric MRI Created Using Optimized Synthetic Correlated Diffusion Imaging.
CoRR, 2024
Using Multiparametric MRI with Optimized Synthetic Correlated Diffusion Imaging to Enhance Breast Cancer Pathologic Complete Response Prediction.
CoRR, 2024
NutritionVerse-Direct: Exploring Deep Neural Networks for Multitask Nutrition Prediction from Food Images.
CoRR, 2024
NutritionVerse-Real: An Open Access Manually Collected 2D Food Scene Dataset for Dietary Intake Estimation.
CoRR, 2024
Knowing is Half the Battle: Enhancing Clean Data Accuracy of Adversarial Robust Deep Neural Networks via Dual-Model Bounded Divergence Gating.
IEEE Access, 2024
2023
NutritionVerse-Synth: An Open Access Synthetically Generated 2D Food Scene Dataset for Dietary Intake Estimation.
CoRR, 2023
Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion.
CoRR, 2023
COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics.
CoRR, 2023
Double-Condensing Attention Condenser: Leveraging Attention in Deep Learning to Detect Skin Cancer from Skin Lesion Images.
CoRR, 2023
Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data.
CoRR, 2023
Transferring Knowledge for Food Image Segmentation using Transformers and Convolutions.
CoRR, 2023
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging.
CoRR, 2023
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data.
CoRR, 2023
NutritionVerse-Thin: An Optimized Strategy for Enabling Improved Rendering of 3D Thin Food Models.
CoRR, 2023
CoRR, 2023
Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
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.
CoRR, 2022
2021
IEEE Access, 2021