MRI Game — Build k-space & Reconstruct
Tip spins with a 90° RF pulse, step through k-space, capture points, and see the reconstruction accumulate — a friendly MRI Fourier demo.
Tip spins with a 90° RF pulse, step through k-space, capture points, and see the reconstruction accumulate — a friendly MRI Fourier demo.
A hands-on deep dive into RF excitation physics in MRI — including birdcage coil modeling, rotating field synthesis, B₁⁺ efficiency, and visualizing RF pulse...
Discover how the REINFORCE algorithm leverages policy gradients, the log-trick, and Monte Carlo sampling to optimize decision-making in reinforcement learnin...
Exploring the different methods to load and work with the LLaMA 3.1 model using Hugging Face’s APIs and Meta’s original implementation. Learn which approach ...
How does the multi-head attention mechanism work in transformers? Let’s break it down step-by-step, starting from the input sequence and moving through the e...
Guide to set-up TensorFlow to use GPU in a Conda environment.Follow these steps to ensure TensorFlow leverages CUDA and cuDNN installed in your Conda environ...
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
Exploring the crucial role of gradient fields in MRI for stepping through K-space.
Current Opinion on Animal Pose Estimation and Behavior Analysis Tools
Dive deep into the role of complex numbers and Fourier Transform in Magnetic Resonance Imaging (MRI), featuring practical coding examples and a detailed anal...
An in-depth exploration of Fourier Transform and complex numbers in MRI. Understand the critical role these concepts play in signal processing and MR imaging...
Exploring of complex numbers and their role in Fourier Transform and Magnetic Resonance Physics with code. This guide elucidates the mathematical foundations...
Explore the intricacies of Variational Autoencoders (VAEs) and the pivotal role of the reparameterization trick in their training process. Learn how this ing...
A comprehensive Python tutorial on visualizing and animating 3D motion capture data using PyVista with high frame rate.
This post covers the basics of probability theory, using examples from the field of computational neuroethology. It provides a fundamental understanding of d...
A guide to understanding neural data using dimensionality reduction techniques such as Principal Component Analysis (PCA). The concept of neural manifolds an...
A guide to creating a data folder for each user on a shared storage drive and moving Conda packages to conserve space.
Brief Intro to the Knowledge Distillation appraoch in Deep Learning
Python tutorial for detecting features and computing homography using RANSAC algorithms from scratch
Python tutorial to perform Photometric stereo for a lambertian case
Tensorflow2: preparing and loading custom datasets
Pytorch dataloader tutorial for custom datasets where both inputs and labels are images
permanently saving the resolution settings on Ubuntu 20.04
serving django 3.2.5 with apache2 and mod_wsgi complete guide
The python set up with visual studio code and pycharm for development environment
The python set up with conda and virtual environments explained