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bayes_nn

Uncertainty interpretations of the neural network

bayesian_nn

bayesian_nn_ensembles

AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'

bayesian_uncertainty

bcr-rep-analysis

Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences.

bdl-benchmarks

Bayesian Deep Learning Benchmarks

bdl-evaluate

bilinear_coord_ebeam

Bi-linear CNN for Bravais Lattice Prediction

bio-active-learning

Application of Active Learning in classifcation of images of cell organelles

bioexp

Explainability of Deep Learning Models

bioimagesegmentation

biscuit

Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding

blog

alpha i's blog

bnn-experiments

Experiments with Bayesian Neural Networks

bnn_skin_lesion

Bayesian Neural Network for Uncertainty Estimation in Skin Lesion Classification

bp-mll

brain-tumor-segmentation-unet

Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.

brain_segmentation

brats17

Patch-based 3D U-Net for brain tumor segmentation

breast-cancer-prediction

Breast Cancer Prediction Using Machine Learning is a project which is going to deal with machine learning techniques, a state-of-the-art type of artificial intelligence that can be used by computers to detect and classify objects in images, could improve detection of breast cancer lesions in mammograms and help in the classification of breast cancer

breast-cancer-prediction-modeling

Breast Cancer prediction through routine blood workThe goal of this study is to try and develop a prediction model to assess the potential of the routine blood work parameters as biomarker for prediction of breast cancer

bvae

BVAE

calibrated_regression

A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.

camelyon16-grand-challenge

Implementation of Camelyon'16 grand challenge

camelyon17-multilevel

Multilevel cnn notebooks for Camelyon17

camp2-2017-camelyon16lite

cancer-deep-learning-model

Keras Deep Learning neural network model for University of Wisconsin Cancer data that uses the Integrated Variants library to explain predictions made by a trained model

cancer-detector

Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification[arXiv:1504.07947] https://arxiv.org/abs/1504.07947

cancerseek

Cancer detection through a blood test (CancerSEEK) using machine learning techniques.

cancerseekv1

R code for the algorithm used in Cohen et al. Science 2018 "Detection and localization of surgically resectable cancers with a multi-analyte blood test", Science 2018, 359(6378):926-930.