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airportdetection

Extract airport objects in remote sensing images using saliency analysis and active contour model

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

attention-gated-networks

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

biasremoval

This repository serves as the codebase for our course project titled "Identifying and removing bias from Neural Nets".

covid-19

Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

covid19-datasets

A list of high quality open datasets for COVID-19 data analysis

covid19_imaging_ai_paper_list

COVID-19 imaging-based AI paper collection

cs-7643-deep-learning

Code for assignments of the graduate course CS 7643: Deep Learning offered at Georgia Tech in Fall 2018.

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231n

cs231n assignments https://ghli.org

cs7643

Deep Learning (Graduate course)

dataset-repair

REPresentAtion bIas Removal (REPAIR) of datasets

dl_fall2019

Deep learning course solutions fall 2019 class

elimbias

Code to reproduce results from Eliminating Biasing Signals in Lung Cancer Images for Prognosis Predictions with Deep Learning, van Amsterdam et al. 2019

fishnet

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

iciar2018

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

iciar2018-1

Our solution for ICIAR 2018 Grand Challenge

learning-not-to-learn

[CVPR2019]Learning Not to Learn : An adversarial method to train deep neural networks with biased data

lidc_nodule_detection

lidc nodule detection with CNN and LSTM network

medical-data

medical-diagnosis-learning

Learning from Discharge Summaries to extract mentioned diagnoses using Hierarchical Attention Model

medical-image-analysis-mipav

医学图像处理的相关学习资料及论文的整理分享

medical-imaging-datasets

A list of Medical imaging datasets.

meduncertainty

Uncertainty in Medical Image Analysis

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

quip_cnn_segmentation

CNN based segmentation codes

recyclenet

Trash classification model using only a small number of annotated images

rid-covid

Image-based COVID-19 diagnosis. Links to software, data, and other resources.