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CT-GAN Attack Dataset
A dataset of 70 tampered and 30 authentic CT scans for evaluation of CT-GAN attack -
Automatic Breast Lesion Detection in Ultrafast DCE-MRI Using Deep Learning
A deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences. -
U-net: Convolutional networks for biomedical image segmentation
The U-net is a deep convolutional neural network for biomedical image segmentation. -
Gabor Layers Enhance Network Robustness
The dataset used in this paper is MNIST, SVHN, CIFAR10, CIFAR100, and ImageNet. -
Low-Rank-Based Nonlocal Adaptive Loop Filter for High-Efficiency Video Compre...
The proposed non-local adaptive loop filter for HEVC. -
Residual Highway Convolutional Neural Networks for In-Loop Filtering in HEVC
The proposed RHCNN model for in-loop filtering in HEVC. -
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC
The proposed MIF approach enhances the quality of each encoded frame leveraging multiple adjacent frames. -
Deep-Flow-Prediction
The dataset used for training and testing the deep learning models for Reynolds-Averaged Navier-Stokes simulations of airfoil flows. -
Deep Face Recognition
The VGGFace dataset is a large-scale face recognition dataset containing over 2.6 million images of 9,131 subjects. -
COVIDx dataset
The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification. -
The Theoretical Expressiveness of Maxpooling
The dataset used in this paper is not explicitly described, but it is mentioned that the authors examined the trend away from max pooling in newer architectures. -
DeepLabCut dataset
DeepLabCut dataset for pose estimation -
Deep Attention Recurrent Q-Network
The Deep Attention Recurrent Q-Network (DARQN) algorithm was tested on several popular Atari 2600 games: Breakout, Seaquest, Space Invaders, Tutankham, and Gopher. -
Bottleneck Layer
The dataset used in this paper is a Bottleneck layer, which is a type of convolutional neural network layer. The dataset is used to evaluate the performance of the proposed... -
BIMCV-COVID19 Dataset
BIMCV-COVID19 Dataset -
GraphXCOVID
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays -
COVID-19 Detection from X-ray Images
The dataset for COVID-19 detection from X-ray images of the chest. -
Proposed Framework
The proposed framework aims to address the limitations of deep learning applications for ECG signal classification. Secondly, we proposed a new classifier for ECG signals. When... -
BERT: Pre-training of deep bidirectional transformers for language understanding
This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding. -
Selecting Receptive Fields in Deep Networks
The authors used the CIFAR-10 dataset for evaluating the quality of unsupervised representation learning algorithms.
