🔬🖥 Automated Blood Vasculature Analysis of 3D Light-Sheet Image Volumes

Official code repository for the paper: "Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging"

Application of AI in 3D Medical Imaging in quantifying Alzheimer's disease progression through automated measurement of hippocampal volume

C++, opencv algorithm for generating 3d images of 2d images, generate 3d image from 2d image

Proposed a monocular 3D polarization imaging approach for non-Lambertian surfaces by investigating the subtle difference in specular and diffuse reflection and then separating them using independent component analysis (ICA).

A python script for creating directory structure for 3D projects

Python-based utility for visualizing 3D data (with an additional color channel) using matplotlib. The voxel plotter allows for a customizable display of 3D data with controls for transparency threshold, skew factor, and sampling ratio.

A series of networks to implement photorealistic renderings through the MeVis Path Tracer from: "The SmARTR Pipeline: a modular workflow for the cinematic rendering of 3D scientific imaging data"

The final project of "Applying AI to 3D Medical Imaging Data" from "AI for Healthcare" nanodegree - Udacity.

The project focuses on four heart conditions that may go initially unremarkable, but can eventually be life-threatening. It a 5-class classification problem ‘0’ Healthy controls • ‘1’ Myocardial infarction • ‘2’ Dilated cardiomyopathy • ‘3’ Hypertrophic cardiomyopathy • ‘4’ Abnormal right ventricle

Using deep learning and computer vision techniques to segment tumors in brain MRI images using UNet.

This repository provides code behind SE3D paper.

Fast Fourier-Laguerre transform on the ball

High-throughput detection and enumeration of tumor cells in blood using Digital Holographic Microscopy (DHM) and Deep Learning.

Born Reverse Time Migration using Bazel build