ruchikaverma-iitg
Computational Scientist I Works at Icahn School of Medicine at Mount Sinai | Ph.D (BME) | M.Tech (ECE) | Computational Pathology and Personalized Medicine
Icahn School of Medicine at Mount SinaiNew York
Pinned Repositories
Algorithm-and-Data-Structures-MIT-6.006
This repository contains my implementation of the algorithms discussed in 6.006 CS course of MIT OCW
awesome-public-datasets
A topic-centric list of HQ open datasets.
BrIC_Lab
Data-Science-from-Scratch-Python
This repository contains my implementations of the algorithms discussed in the aforementioned book by Joel Grus.
Git-and-GitHub-short-course
This repository contains the material we prepared for a short hands-on course for introducing Git and GitHub to the participants.
Histopathology-Datasets
Ressources of histopathology datasets
ML-DL-RL_Codes
This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.
MoNuSAC
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
MoNuSeg
This repository contains my implementations of the algorithms which we used for evaluation of the MoNuSeg challenge at MICCAI 2018.
Nuclei-Segmentation
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.
ruchikaverma-iitg's Repositories
ruchikaverma-iitg/MoNuSAC
This repository contains my implementations of the algorithms which MoNuSAC participants could use for data preparation to train their models at ISBI 2020.
ruchikaverma-iitg/MoNuSeg
This repository contains my implementations of the algorithms which we used for evaluation of the MoNuSeg challenge at MICCAI 2018.
ruchikaverma-iitg/Nuclei-Segmentation
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.
ruchikaverma-iitg/ML-DL-RL_Codes
This repository contains codes starting from the basic machine learning to advanced topics in Ipython Notebooks.
ruchikaverma-iitg/Data-Science-from-Scratch-Python
This repository contains my implementations of the algorithms discussed in the aforementioned book by Joel Grus.
ruchikaverma-iitg/awesome-public-datasets
A topic-centric list of HQ open datasets.
ruchikaverma-iitg/Histopathology-Datasets
Ressources of histopathology datasets
ruchikaverma-iitg/Algorithm-and-Data-Structures-MIT-6.006
This repository contains my implementation of the algorithms discussed in 6.006 CS course of MIT OCW
ruchikaverma-iitg/BrIC_Lab
ruchikaverma-iitg/Convolutional-Neural-Networks-for-Visual-Recognition-CS231n
This repository contains my implementations (on Python3 Jupyter notebook) of the assigned algorithms in the CS231n.
ruchikaverma-iitg/Git-and-GitHub-short-course
This repository contains the material we prepared for a short hands-on course for introducing Git and GitHub to the participants.
ruchikaverma-iitg/pycox
Survival analysis with PyTorch
ruchikaverma-iitg/Tumor-Segmentation
This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.