Results 91 to 100 of about 4,895,571 (286)
A Question-Centric Model for Visual Question Answering in Medical Imaging [PDF]
Deep learning methods have proven extremely effective at performing a variety of medical image analysis tasks. With their potential use in clinical routine, their lack of transparency has however been one of their few weak points, raising concerns ...
Sznitman, Raphael +3 more
core +1 more source
MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru +13 more
wiley +1 more source
Cross-Attention Mechanism for Medical Visual Question Answering
Visual Question Answering (VQA) is a machine learning task that aims to create systems capable of answering natural language questions based on given images.
Nada Fadhil Mohammed, Israa H. Ali
doaj +1 more source
miraQA: Initial experiments in Question Answering [PDF]
We present the miraQA system that constitutes MIRACLE first experience in Question Answering for monolingual Spanish and has been developed for QA@CLEF 2004.
Martínez Fernández, Paloma +6 more
core +1 more source
ABSTRACT Objective Variants in SLC6A1, encoding the GABA transporter 1 (GAT‐1), cause epilepsy, autism spectrum disorder, and developmental delay via loss of GABA uptake, impaired trafficking, and ER retention. We previously found that 4‐Phenylbutyrate (PBA), an FDA‐approved drug, restores GABA uptake and reduces seizures in SLC6A1‐related disorders ...
Melissa B. DeLeeuw +5 more
wiley +1 more source
ABSTRACT Background We aimed to identify the proportion of individuals with a confirmed diagnosis of childhood absence epilepsy (CAE) or juvenile absence epilepsy (JAE) who show a negative routine EEG (rEEG), and to determine the main factors associated with this finding.
Francesco Fortunato +7 more
wiley +1 more source
Structured Attentions for Visual Question Answering [PDF]
Visual attention, which assigns weights to image regions according to their relevance to a question, is considered as an indispensable part by most Visual Question Answering models. Although the questions may involve complex relations among multiple regions, few attention models can effectively encode such cross-region relations.
Chen Zhu +4 more
openaire +4 more sources
Reserves, Injury Severity, and Outcomes in Traumatic Brain Injury: A CENTER‐TBI Observational Study
ABSTRACT Objective Reserve refers to the brain's ability to maintain function after an injury and strongly relates to traumatic brain injury (TBI) outcomes. This study examined (1) whether associations between pre‐injury reserve proxies and outcomes differed across injury severity categories, and (2) whether the impact of injury severity varied across ...
Natascha Ekdahl +6 more
wiley +1 more source
Visual Question Generation as Dual Task of Visual Question Answering
Recently visual question answering (VQA) and visual question generation (VQG) are two trending topics in the computer vision, which have been explored separately. In this work, we propose an end-to-end unified framework, the Invertible Question Answering Network (iQAN), to leverage the complementary relations between questions and answers in images by ...
Yikang Li 0002 +5 more
openaire +3 more sources
Corpus-based Pattern Induction for a Knowledge-based Question Answering Approach [PDF]
Cimiano P, Erdmann M, Ladwig G. Corpus-based Pattern Induction for a Knowledge-based Question Answering Approach. In: Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007). IEEE Computer Society; 2007: 671-678.In this
Erdmann, Michael +2 more
core +1 more source

