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

Publications - Chair of Data Science in Earth Observation

Classification of Alzheimer's disease stages from magnetic resonance images using deep learning [PeerJ]

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

A multi-kernel and multi-scale learning based deep ensemble model for predicting recurrence of non-small cell lung cancer [PeerJ]

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

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

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

Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets

A COVID-19 medical image classification algorithm based on Transformer

Self-attention module and FPN-based remote sensing image target detection

Frontiers TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images

Frontiers Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit