Latest AI and machine learning research in adhd/add for healthcare professionals.
Depression is a heterogeneous disorder, often diagnosed based on symptom co-occurrence. However, ind...
Multiple-instance Learning (MIL) is commonly used to undertake computational pathology (CPath) tasks...
Dopamine (DA) has been implicated in exploration-exploitation behaviour, i.e., exploring novel, pote...
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder with limi...
Small object detection in UAV imagery is crucial for applications such as search-and-rescue, traff...
Optical computing and spiking neural networks (SNNs) have garnered significant attention as next-gen...
Knowledge distillation is a model compression technique in which a compact "student" network is tr...
Dual encoder Vision-Language Models (VLM) such as CLIP are widely used for image-text retrieval ta...
Automated respiratory sound classification faces practical challenges from background noise and in...
Recent advancements in Text-to-Speech (TTS) models, particularly in voice cloning, have intensifie...
Despite rapid advances in large language models (LLMs), their integration with traditional supervi...
Recent advancements in Neural Radiance Fields (NeRF) and 3D Gaussian-based Simultaneous Localizati...
White Light Imaging (WLI) and Narrow Band Imaging (NBI) are the two main colonoscopic modalities f...
This technical report presents a natural language processing (NLP)-based approach for systematical...
According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults s...
Visually impaired individuals face daily challenges in social engagement and routine activities due ...
Cancer engineering for tumor normalization offers a promising therapeutic strategy to reverse malign...
BACKGROUND: Attention-Deficit-Hyperactivity Disorder (ADHD) is a multifaceted neurodevelopmental dis...
Colorectal cancer is one of the deadliest cancers today, but it can be prevented through early det...
Perceptual hashing is used to detect whether an input image is similar to a reference image with a...
Presentation Attack Detection (PAD) systems are usually designed independently of the fingerprint ...