Name: Amirhosein Toosi
Type: User
Company: BC Cancer Research Institute
Bio: Former postdoc fellow at Computer Graphics and Vision Group, Department of Computer and Control Engineering, Politecnico di Torino.
Location: Vancouver, BC, Canada
Blog: https://amirhosein2c.github.io/
Amirhosein Toosi's Projects
PyTorch implementation for 3D CNN models for medical image data (1 channel gray scale images).
Simple code for implementing illusion of a 3D object rotation using faceDetection
Use Agora RTC SDK with Python!
Diffusion Models in Medical Imaging
Awesome GAN for Medical Imaging
Awesome Incremental Learning
Having some fun with DL stuff
Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)
This is the official Pytorch implementation of the paper "Diffusion Models for Implicit Image Segmentation Ensembles".
A repo of Data structures and algorithms implementation exercises in python for the purpose of learning only.
Flat Pyramid-style Metronome using HTML5 Web Audio API.
A barebones unofficial Android app for Clubhouse
A JAX-based deep learning framework for image segmentation using diffusion models.
simple python script to capture and save a video on board.
🖍️ This is a custom version of LabelImg, the awesome labeling tool, modified for an internal project. The aim was to make the labeling process semi-automatic, using a pre-trained RefineDet object detector.
Medical Diffusion: This repository contains the code to our paper Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Synthesis
A paraphrase generator built using the T5 model which produces paraphrased English sentences.
Code repository for the paper entitled "Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images" submitted to the European Journal of Nuclear Medicine and Medical Imaging
Simple code for reading nrrd files, visualizing and saving as high quality jpeg files
Stereoscopic camera calibration and 3D reconstruction using ChArUco
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.