102 citations
- University of British ColumbiaCA24 papers
- Space Telescope Science InstituteUS4 papers
- California Institute of TechnologyUS3 papers
- Johns Hopkins UniversityUS3 papers
- Natural Sciences and Engineering Research Council of CanadaCA3 papers
- Spinal Cord Injury BCCA3 papers
- University of WashingtonUS3 papers
- American Museum of Natural HistoryUS2 papers
- Carnegie Mellon UniversityUS2 papers
- Dartmouth CollegeUS2 papers
- Guy's and St Thomas' NHS Foundation TrustGB2 papers
- Herzberg Institute of AstrophysicsCA2 papers
32 papers
MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices
Alvin Kimbowa, Arjun Parmar, Ibrahim Mujtaba +5
Objective: To develop a robust and compact deep learning model for automated knee cartilage segmentation on point-of-care ultrasound (POCUS) devices. Methods: We propose MonoUNet,…
Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation
Jonas Jäger, Florian J. Kiwit, Carlos A. Riofrío
Quantum generative modeling is a rapidly evolving discipline at the intersection of quantum computing and machine learning. Contemporary quantum machine learning is generally limit…
Advancing Positron Emission Tomography Image Quantification: Artificial Intelligence-Driven Methods, Clinical Challenges, and Emerging Opportunities in Long-Axial Field-of-View Positron Emission Tomography/Computed Tomography Imaging
Fereshteh Yousefirizi, Movindu Dassanayake, Alejandro Lopez +6
MTV is increasingly recognized as an accurate estimate of disease burden, which has prognostic value, but its implementation has been hindered by the time-consuming need for manual…
Artificial Intelligence-Guided PET Image Reconstruction and Multi-Tracer Imaging: Novel Methods, Challenges, And Opportunities
Movindu Dassanayake, Alejandro Lopez, Andrew Reader +6
LAFOV PET/CT has the potential to unlock new applications such as ultra-low dose PET/CT imaging, multiplexed imaging, for biomarker development and for faster AI-driven reconstruct…
Bayesian hierarchical non-stationary hybrid modeling for threshold estimation in peak over threshold approach
Quansheng Yue, Yanyong Guo, Tarek Sayed +3
Extreme value theory (EVT) has been utilized to estimate crash risk from traffic conflicts with the peak over threshold approach. However, it's challenging to determine a suitable…
Some Times in Standard Cosmology
Lukas Tobias Hergt, Douglas Scott
The standard cosmological model is sufficiently well constrained that precise estimates can be provided for the redshift of various physically defined times in the chronology of th…