Basics of least squares: modelling, predicting and reconstructing!

Visual Training of a CNN as a Denoiser (Deep Image Prior)

Simple AI image processing (deep image prior)

Iterative Image Reconstruction

Size of the Atomic Nucleus

Schrödinger's Cat: Quantum Superposition

PET sinograms & backprojection

Understand 2D k-space, Fourier Synthesis & MRI!

Wave-particle duality, wave functions, quantum superposition, wave function collapse

Heisenberg's Uncertainty Principle, Momentum and Spatial Frequency

Bohr’s Quantum Leap in Atomic Modelling with Stunning Agreement with Experimental Results!

Photoelectric Effect Explained with Equations: Einstein's Nobel Prize Winning Work on Photons

Millikan's Nobel Prize: Oil Drop Experiment for Measuring the Fundamental Unit of Electric Charge

PET acquisition and iterative reconstruction (basics in 6 minutes!)

Basics of least squares: modelling, predicting and reconstructing!

How to undo convolution: deconvolution for image reconstruction (via Fourier & convolution theorem)

Schrodinger's cat: did you ever really get it, and the link to quantum computing?

Einstein's Nobel Prize: Photoelectric Effect

Basics of k-space for MRI (magnetic resonance imaging)

Filtered backprojection (FBP) for image reconstruction: central section theorem, Radon & Fourier

Visualising 2D k-space and Fourier synthesis (1D & 2D, helps for image reconstruction and analysis)

Image reconstruction: sinograms, backprojected images, convolution, Radon & x-ray transform

Deep image prior: simple code for image restoration with no training data needed

AI vs. Physics in Image Reconstruction

Schrodinger equation: fast, simple mathematical description with consideration of the hydrogen atom