Name: Anwai Archit
Type: User
Company: University of Göttingen
Bio: PhD Candidate @computational-cell-analytics!
Doodling on Microscopic Images and A4 Sheets simultaneously! :D
Twitter: AnwaiArchit
Location: Göttingen, Germany
Blog: https://anwai98.github.io/
Anwai Archit's Projects
Classification Challenge of Alzheimer's Disease Using MRIs and Gene Expression Data in R
Tracking and collecting papers/projects/others related to Segment Anything.
Brain Tissue Segmentation on IBSR18 Dataset
Image Registration on Chest CT Volumes
A truly simple website template for academics
Coursera Repository
This repository contains implementations and illustrative code to accompany DeepMind publications
Gamified Radiology Department to Guide Patients with Fun
Utils and convenience functions for large-scale bio-image analysis.
Extraction Based Text Summarization (Text Analytics) using Page Rank Algorithm
The open-source tool for building high-quality datasets and computer vision models
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Git extension for versioning large files
goCovidGo - Covid-19 Engagement Ecosystem - Full Stack Website using Node, MongoDB, Express, and Client Side Frameworks
Different Loss Function Implementations in PyTorch and Keras
Projects completed throughout the two years of attending the Erasmus Mundus Joint Master Degree in Medical Imaging and Applications (MAIA))
Segment Anything in Medical Images
Segment Anything for Microscopy
Interesting Machine Learning Experiments with In-Depth Investigations
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics
A conda-smithy repository for python-elf.
Regression Problem on the Given Dataset using Parametric and Non Parametric Approach
Retinal Lesions (Microaneurysms, Hard Exudates, Soft Exudates, Hemorrhages) Segmentation using Deep Learning Pipeline and Image Processing & Machine Learning Pipeline
Sample Repository - Coursera