Name: Ruchika Verma
Type: User
Company: Icahn School of Medicine at Mount Sinai
Bio: Computational Scientist I Works at Icahn School of Medicine at Mount Sinai | Ph.D (BME) | M.Tech (ECE) | Computational Pathology and Personalized Medicine
Location: New York
Blog: https://ruchika-verma.weebly.com/
Ruchika Verma 's Projects
This repository contains my implementation of the algorithms discussed in 6.006 CS course of MIT OCW
A topic-centric list of HQ open datasets.
This repository contains my implementations (on Python3 Jupyter notebook) of the assigned algorithms in the CS231n.
This repository contains my implementations of the algorithms discussed in the aforementioned book by Joel Grus.
This repository contains the material we prepared for a short hands-on course for introducing Git and GitHub to the participants.
Ressources of histopathology datasets
This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
This repository contains my implementations of the algorithms which we used for evaluation of the MoNuSeg challenge at MICCAI 2018.
This repository contains an implementation of a deep learning Mask R-CNN algorithm for nuclei segmentation from whole slide images of tissue sections using data from our MoNuSeg Challenge.
Survival analysis with PyTorch
This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.