srinidhiPY
Medical Image Analysis, Computational Pathology, Machine Learning, Computer Vision
Sunnybrook Research Institute, Medical Biophysics, University of TorontoToronto, Canada
Pinned Repositories
al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
BIRADS_BERT
CMC
pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"
CoNIC
CoNIC Challenge
contrastive-predictive-coding
Keras implementation of Representation Learning with Contrastive Predictive Coding
deep-learning-wizard
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
ICCV-CDPATH2021-ID-8
Official code for "Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology", ICCV, 2021, CDpath Workshop (Oral).
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
SSL_CR_Histo
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
tiatoolbox
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
srinidhiPY's Repositories
srinidhiPY/contrastive-predictive-coding
Keras implementation of Representation Learning with Contrastive Predictive Coding
srinidhiPY/DeepMitosis
Codes for our MIA paper "DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks".
srinidhiPY/fair_self_supervision_benchmark
Scaling and Benchmarking Self-Supervised Visual Representation Learning
srinidhiPY/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.
srinidhiPY/HyperDenseNet
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
srinidhiPY/Image_Segmentation
pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
srinidhiPY/LiviaNET
This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"
srinidhiPY/staining-normalization
Staining unmixing and normalization for histopathology images.