Rapid High-Resolution Mosaic Acquisition for Photoacoustic Remote Sensing. - Saad Abbasi; Kevan Bell; Parsin Haji Reza (Sensors, 2020)

COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. - Audrey G. Chung; Maya Pavlova; Hayden Gunraj; Naomi Terhljan; Alexander MacLean; Hossein Aboutalebi; Siddharth Surana; Andy Zhao; Saad Abbasi; Alexander Wong (CCECE, 2021)

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. - Alexander MacLean; Saad Abbasi; Ashkan Ebadi; Andy Zhao; Maya Pavlova; Hayden Gunraj; Pengcheng Xi; Sonny Kohli; Alexander Wong (DART/FAIR@MICCAI, 2021)

COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images. - Hossein Aboutalebi; Saad Abbasi; Mohammad Javad Shafiee; Alexander Wong (CoRR, 2021)

Does Form Follow Function? An Empirical Exploration of the Impact of Deep Neural Network Architecture Design on Hardware-Specific Acceleration. - Saad Abbasi; Mohammad Javad Shafiee; Ellick Chan; Alexander Wong (CoRR, 2021)

OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection. - Saad Abbasi; Mahmoud Famouri; Mohammad Javad Shafiee; Alexander Wong (Sensors, 2021)

MAPLE: Microprocessor A Priori for Latency Estimation. - Saad Abbasi; Alexander Wong; Mohammad Javad Shafiee (CVPR Workshops, 2022)

MAPLE-Edge: A Runtime Latency Predictor for Edge Devices. - Saeejith Nair; Saad Abbasi; Alexander Wong; Mohammad Javad Shafiee (CVPR Workshops, 2022)

MAPLE-X: Latency Prediction with Explicit Microprocessor Prior Knowledge. - Saad Abbasi; Alexander Wong; Mohammad Javad Shafiee (CoRR, 2022)

Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers. - Alexander Wong; Mohammad Javad Shafiee; Saad Abbasi; Saeejith Nair; Mahmoud Famouri (CoRR, 2022)

COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation. - Pengyuan Shi; Yuetong Wang; Saad Abbasi; Alexander Wong (CoRR, 2022)

Fast GraspNeXt: A Fast Self-Attention Neural Network Architecture for Multi-task Learning in Computer Vision Tasks for Robotic Grasping on the Edge. - Alexander Wong; Yifan Wu 004; Saad Abbasi; Saeejith Nair; Yuhao Chen 001; Mohammad Javad Shafiee (CVPR Workshops, 2023)

PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge. - Brian Li; Steven Palayew; Francis Li; Saad Abbasi; Saeejith Nair; Alexander Wong (CoRR, 2023)

TurboViT: Generating Fast Vision Transformers via Generative Architecture Search. - Alexander Wong; Saad Abbasi; Saeejith Nair (CoRR, 2023)