🔬🖥 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.

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.

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"

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