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/MAPIE

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

birajaghoshal/AAAI-22

Repo for "Fair Conformal Predictors for Applications in Medical Imaging" paper

birajaghoshal/aang_conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

birajaghoshal/ADAE

SIIM/ISIC 2020 Challenge Winning Algorithm (All Data Are Ext)

birajaghoshal/AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

birajaghoshal/arc

Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems

birajaghoshal/awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

birajaghoshal/BDL-Evaluate

birajaghoshal/biscuit

Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding

birajaghoshal/cancres-2022-intratumoral-heterogeneity-dl-paper

birajaghoshal/Conformal_analyses

birajaghoshal/conformal_training

This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classifiers".

birajaghoshal/ConformalPredictionTutorial

birajaghoshal/DeepBiofilm

Deep learning for analyzing bacterial biofilm images, including 3D GAN image synthesis, dataset quality assessment with SSQA, and a downstream cell segmentation test using 3D u-net.

birajaghoshal/deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

birajaghoshal/EvPSNet

birajaghoshal/FashionOutfitRecommenderGenAI

birajaghoshal/federated-conformal-prediction

birajaghoshal/marugoto

Tools to build deep learning pipelines.

birajaghoshal/Multi_Class_Multi_Label_Classification

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

birajaghoshal/OCT_Fluid_Segmentation

birajaghoshal/Pan-cancer-profiling

This repository contains the code to reproduce our exploratory analysis of a pan-cancer plasma proteomics dataset, including differential expression analysis and disease classification (https://doi.org/10.1038/s41467-023-39765-y). The data can be explored in the Human Protein Atlas: www.proteinatlas.org/humanproteome/disease.

birajaghoshal/RCC_textures_and_lymphocytes_publication_data_analysis

birajaghoshal/RCC_textures_and_lymphocytes_publication_image_analysis

birajaghoshal/RCCGNet

A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

birajaghoshal/Retina

birajaghoshal/scGPT

birajaghoshal/SD-LayerNet

birajaghoshal/semantic_uncertainty

birajaghoshal/stain-transfer

Comparative evaluation of image-to-image translation methods for stain transfer in histopathology