ABBA Workflow: Image Processing and Analysis

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Image processing: Basics and 3D Reconstruction

Explores image processing in 2D and 3D, covering ideal imaging conditions, histogram analysis, tools, 3D reconstruction steps, and visualization.

Deep Learning: Convolutional Neural Networks

Covers Convolutional Neural Networks, standard architectures, training techniques, and adversarial examples in deep learning.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Reslicing: Analyzing 3D Data

Covers reslicing, a method to convert 3D datasets into 2D images by extracting intensity values along a line, and its applications in analyzing moving objects and spatial relationships.

Drone Imaging Analysis

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Introduction to Machine Learning: Course Overview and Basics

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Data Science Visualization with Pandas

Covers data manipulation and exploration using Python with a focus on visualization techniques.

HPC Infrastructure: Blue Brain Project

Explores the HPC infrastructure of the Blue Brain Project, including multi-compartment neuron refinement and large-scale data processing.

Computer Vision: Image Formation and Transformation

Provides an overview of image formation and transformation principles in computer vision.