Deep Learning Image Segmentation
Overview
The goal of this notebook is to review deep learning methods for object detection and image segmentation.
From DeepFake to Generative Adversarial Network (GAN)
We briefly review recent advancement in DeepFake research (e.g. face swapping).
Classification of Seizure EEG with Convolutional Neural Network
Objective¶In this project, I ask the following question: can deep neural network distinguish between EEG activities before seizure, during seizure and healthy conditions? Being able to identify periods before seizure onset may be especially important for treamtment in seizure-prone patients and healthcare practitioner.
Here, I use deep conv...
GABA Measurement Degraded by Head Movement
Nuclear Magnetic Resonance Spectroscopy Measurement of Gamma-Amino-Butyric Acid Is Degraded by Head Movement
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Nuclear Magnetic Resonance Spectroscopy Measurement of Gamma-Amino-Butyric Acid Is Degraded by Head Movement
Motivation
Nuclear ...
Expectation Maximization
We briefly review several types of problems that Expectation-Maximization algorithm was used to solve, including Mixture of Gaussian, Factor Analysis, and Latent Dirichlet Allocation.
9 post articles, 2 pages.