Latest AI and machine learning research in geriatrics for healthcare professionals.
Image retrieval methods rely on metric learning to train backbone feature extraction models that c...
We aim to develop a model-based planning framework for world models that can be scaled with increa...
Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. S...
Arbitrary Style Transfer (AST) achieves the rendering of real natural images into the painting sty...
Automatic Speech Recognition (ASR) plays an important role in speech-based automatic detection of ...
Compared to other clinical screening techniques, speech-and-language-based automated Alzheimer's d...
Graph neural networks (GNNs) are powerful machine learning models designed to handle irregularly s...
Alzheimer's Disease (AD) is a progressive neurological disorder that can result in significant cog...
Brain aging involves structural and functional changes and therefore serves as a key biomarker for...
Unsupervised anomaly detection in brain imaging is challenging. In this paper, we propose self-sup...
Osteoporosis is a widespread and chronic metabolic bone disease that often remains undiagnosed and...
Surgical interventions, particularly in neurology, represent complex and high-stakes scenarios tha...
The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose signifi...
Long-read sequencing technologies can capture entire RNA transcripts in a single sequencing read, re...
We introduce a novel method for human shape and pose recovery that can fully leverage multiple sta...
This paper introduces the counter-intuitive generalization results of overfitting pre-trained larg...
We present the first loss agent, dubbed LossAgent, for low-level image processing tasks, e.g., ima...
The success of AI is based on the availability of data to train models. While in some cases a sing...
As a sensitive functional imaging technique, positron emission tomography (PET) plays a critical r...
In the fifth-generation (5G) era, eliminating communication interference sources is crucial for ma...
Understanding video content is pivotal for advancing real-world applications like activity recogni...