Hayden Gunraj - RankMe

25 papers A* 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR Chi-En Amy Tai, Hayden Gunraj, Alexander Wong
2023	J	`jnl`	COVIDx CXR-4: An Expanded Multi-Institutional Open-Source Benchmark Dataset for Chest X-ray Image-Based Computer-Aided COVID-19 Diagnostics. CoRR Yifan Wu, Hayden Gunraj, Chi-En Amy Tai, Alexander Wong
2023	J	`jnl`	Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR Chi-En Amy Tai, Hayden Gunraj, Alexander Wong
2023	J	`jnl`	Cancer-Net PCa-Data: An Open-Source Benchmark Dataset for Prostate Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data. CoRR Hayden Gunraj, Chi-En Amy Tai, Alexander Wong
2023	J	`jnl`	Cancer-Net PCa-Gen: Synthesis of Realistic Prostate Diffusion Weighted Imaging Data via Anatomic-Conditional Controlled Latent Diffusion. CoRR Aditya Sridhar, Chi-En Amy Tai, Hayden Gunraj, Yuhao Chen, Alexander Wong
2023	—	`conf`	Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging. AMAI@MICCAI Chi-En Amy Tai, Hayden Gunraj, Nedim Hodzic, Nic Flanagan, Ali Sabri, Alexander Wong
2023	J	`jnl`	Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability. CoRR E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong
2023	—	`conf`	MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy. CVPR Workshops Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong
2023	A*	`conf`	SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. AAAI Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
2023	J	`jnl`	SolderNet: Towards trustworthy visual inspection of solder joints in electronics manufacturing using explainable artificial intelligence. AI Mag. Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
2022	J	`jnl`	COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images. CoRR Tia Tuinstra, Hayden Gunraj, Alexander Wong
2022	J	`jnl`	COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. CoRR Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj, Alexander Wong
2022	J	`jnl`	Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging. CoRR Chi-En Amy Tai, Nedim Hodzic, Nic Flanagan, Hayden Gunraj, Alexander Wong
2022	J	`jnl`	MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy. CoRR Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Maximilian Gilles, Alexander Wong
2022	J	`jnl`	SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence. CoRR Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
2021	J	`jnl`	COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning. CoRR Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong
2021	J	`jnl`	COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. CoRR Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
2021	—	`conf`	COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CCECE Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
2021	J	`jnl`	COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. CoRR Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
2021	J	`jnl`	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 Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
2021	—	`conf`	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 Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
2021	J	`jnl`	Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications. CoRR Alexander Wong, Adam Dorfman, Paul McInnis, Hayden Gunraj
2021	J	`jnl`	MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. CoRR Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
2020	J	`jnl`	COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images. CoRR Hayden Gunraj, Linda Wang, Alexander Wong
2020	J	`jnl`	Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors Chris Dulhanty, Linda Wang, Maria Cheng, Hayden Gunraj, Farzad Khalvati, Masoom A. Haider, Alexander Wong