Canon MRI Deep Learning Reconstruction Deep learning has transformed MRI image reconstruction by alleviating the inherent trade-off among signal-to-noise ratio (SNR), spatial resolution, and scan time. Fast MRI-only Comprehensive Musculoskeletal Imaging Making what was previously impossible achievable. Compressed Sensing MRI Compressed sensing theory has been incorporated into MRI image reconstruction, allowing substantial reductions in scan time. USC Accuracy, Uncertainty, and Adaptability of a Deep CNN It provides accurate segmentation while quantifying uncertainty and allowing control over false-positive and false-negative rates. dnoiseNET - A Deep CNN for Image Denoising We incorporated two key innovations (residual learning & skip connection) into our Deep CNN for improving MRI denoising performance. ICTP Crystal Structure Search using Constrained Optimization Postgraduate Diploma Thesis at the Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy Misc R Markdown Report, Slides, and Shiny App Report, slides, and Shiny app, generated using R and R Markdown
