Frontiers TB-Net: A Tailored, Self-Attention Deep Convolutional

Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks - ScienceDirect

PDF] Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

Self Attention in Convolutional Neural Networks, by Ramin, MLearning.ai

A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings - ScienceDirect

Attention-based deep convolutional neural network for spectral efficiency optimization in MIMO systems

Understanding Deep Self-attention Mechanism in Convolution Neural Networks, by Shuchen Du, AI Salon

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TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation – arXiv Vanity

Frontiers GPTransformer: A Transformer-Based Deep Learning Method for Predicting Fusarium Related Traits in Barley

Improving convolutional neural network learning based on a hierarchical bezier generative model for stenosis detection in X-ray images - ScienceDirect

AI-enabled organoids: Construction, analysis, and application - ScienceDirect

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data

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Deep Learning of Nanopore Sensing Signals Using a Bi-Path Network