Objective Sarcopenia, defined by reductions in muscle mass and strength, increases the risk of adverse outcomes in patients with rheumatoid arthritis (RA)—driven in part by chronic inflammation—and is ...

Abstract: Classification applications in order to obtain the desired information from satellite images are one of the increasing areas of study. Remote sensing satellite images are very difficult to ...

This repository contains the implementation of the paper Smooth Loss Functions for Deep Top-k Classification in pytorch. If you use this work for your research, please cite the paper: ...

Abstract: Skin cancer is one of the most common cancers in the world. However, the disease is curable if detected in the beginning stage. Early detection of malignant lesions through accurate ...

ABSTRACT: Treatment-Resistant Depression (TRD) remains one of the most challenging subtypes of major depressive disorder, affecting approximately one-third of patients and leading to significant ...

Hyp-OC, is the first work exploring hyperbolic embeddings for one-class face anti-spoofing (OC-FAS). 1️⃣ We show that using hyperbolic space helps learn a better decision boundary than the Euclidean ...

ABSTRACT: Delirium is a common yet critical condition among Intensive Care Unit (ICU) patients, characterized by acute cognitive disturbances that can lead to severe complications, prolonged hospital ...

The 2024 Paris Paralympics involves 22 sports but not all disability categories can compete in each event. Each sport has different physical demands and so has its own set of classifications. Blind ...

People usually talk about the race to the bottom in artificial intelligence as a bad thing. But it’s different when you’re discussing loss functions. Loss functions are a crucial but frequently ...

Emerging brain-computer interface (BCI) technology holds promising potential to enhance the quality of life for individuals with disabilities. Nevertheless, the constrained accuracy of ...