Hayden Gunraj

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 25

Top Topics

Diffusion Imaging

Top Venues

Publications

Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy. CVPR Workshops (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, 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)
E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability. CoRR (2023)
Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. AAAI (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)
Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
SolderNet: Towards trustworthy visual inspection of solder joints in electronics manufacturing using explainable artificial intelligence. AI Mag. 44 (4) (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)
Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. CoRR (2022)
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)
Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj, Alexander Wong
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR (2022)
Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong
MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy. CoRR (2022)
Tia Tuinstra, Hayden Gunraj, Alexander Wong
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images. CoRR (2022)
Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning. CoRR (2021)
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR (2021)
Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR (2021)
Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE (2021)
Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. DART/FAIR@MICCAI (2021)
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging. CoRR (2021)
Alexander Wong, Adam Dorfman, Paul McInnis, Hayden Gunraj
Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications. CoRR (2021)
Hayden Gunraj, Linda Wang, Alexander Wong
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images. CoRR (2020)
Chris Dulhanty, Linda Wang, Maria Cheng, Hayden Gunraj, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors 20 (5) (2020)