birajaghoshal

2018-Data-Science-Bowl

Find the nuclei in divergent images to advance medical discovery

2018-TAGM-paper

2018 TAGM paper

3D-Unet

A simple implementation of 3D-Unet on a 3D Prostate Segmentation Task

3DUnetCNN

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Covid-19

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

DeepHistoClass

Leveraging-uncertainty-information-from-deep-neural-networks-for-disease-detection

Leveraging uncertainty information from deep neural networks for disease detection

MAPIE

A scikit-learn-compatible module for estimating prediction intervals.

posterior-sampling-UQ

posterior sampling (from the paper "deep bayesian inversion") for MRI uncertainty quantification and reconstruction

swa_uncertainties

Code repo for "Fast Uncertainty Estimates and Bayesian Model Averaging of DNNs"

birajaghoshal/Active-Learning-Bayesian-Convolutional-Neural-Networks

Active Learning on Image Data using Bayesian ConvNets

birajaghoshal/Bayesian-Deep-Learning

birajaghoshal/cmput659_project

Diagnosing Schizophrenia with fMRI and PGMs

birajaghoshal/data_int_ctc

The code of our multi-platform data integration work for the identification of biomarkers related to Circulating Tumor Cells (CTCs)

birajaghoshal/deep-ensemble-uncertainty

An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)

birajaghoshal/Deep-Semi-NMF

Theano-based implementation of Deep Semi-NMF.

birajaghoshal/deep_learning

Deep Learning Package in Python Based on The Deep Learning Tutorials and Theano

birajaghoshal/deeppy

Deep learning in Python

birajaghoshal/DropoutUncertaintyExps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

birajaghoshal/HeartMRI_ML

Machine learning pipeline for attempting to automatically determine cardiac dysfunction from MRI image data alone, including a convolutional neural network, a stacked autoencoder and an active contour model - Working but in need of clean up

birajaghoshal/kaggle_diabetic_retinopathy

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

birajaghoshal/keras-information-dropout

Keras implementation of the Information Dropout (arXiv:1611.01353) paper

birajaghoshal/Liver-and-Pancreatic-carcinoma-classifier

Pancreatic cancer classifier using DNA Methylation information. This project was done as part of our Foundations of Machine Learning course.

birajaghoshal/NCI60Example

Supplement and Rcode of Figures

birajaghoshal/nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

birajaghoshal/Protein_ML

Machine learning workflows for analyzing high-throughput protein data

birajaghoshal/research

Where I put my code for papers that I write

birajaghoshal/rnn_predict

Simple RNN (Gated Recurrent Units) for predicting a diagnosis

birajaghoshal/subnet_stacking

Supporting material for the paper "Stacking of Network Based Classifiers with Application in Breast Cancer Classification" presented in XIV Mediterranean Conference on Medical and Biological Engineering and Computing (2016)

birajaghoshal/ufldl_tutorial

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

birajaghoshal/uq_chapter

Uncertainty quantification book chapter