Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Age estimation is an important challenge in many fields, including immigrant identification, legal r...
Evolution of gait rehabilitation robotic devices for stroke survivors has aimed at providing transpa...
Protein structure prediction and design can be regarded as two inverse processes governed by the sam...
Semi-supervised learning has largely alleviated the strong demand for large amount of annotations in...
Coronary luminal dimensions change during the cardiac cycle. However, contemporary volumetric intrav...
Infections with pathogenic bacteria entering the mammary gland through the teat canal are the most c...
Person re-identification is a crucial task of identifying pedestrians of interest across multiple su...
Although convolutional neural networks (CNNs) demonstrate the superior performance in denoising posi...
Many deep learning (DL)-based image restoration methods for low-dose CT (LDCT) problems directly emp...
Artificial intelligence can facilitate clinical decision making by considering massive amounts of me...
Digital tissue image analysis is a computational method for analyzing whole-slide images and extract...
In recent years, several researchers and practitioners applied machine learning algorithms in the da...
In this study, we propose a deep-learning network model called the deep multi-kernel auto-encoder cl...
Helical CT has been widely used in clinical diagnosis. In this work, we focus on a new prototype of ...
Biomedical event extraction plays an important role in the extraction of biological information from...
Researchers working on computational analysis of Whole Slide Images (WSIs) in histopathology have pr...
Neovascular age-related macular degeneration (nAMD) is nowadays successfully treated with anti-VEGF ...
An important challenge in hyperspectral imaging tasks is to cope with the large number of spectral b...
The mechanisms leading to organ level toxicities are poorly understood. In this study, we applied an...
Coronavirus disease 2019 (COVID-19) is a novel harmful respiratory disease that has rapidly spread w...
The presence of confounding effects (or biases) is one of the most critical challenges in using deep...