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A Question-Centric Model for Visual Question Answering in Medical Imaging [PDF]

open access: yes, 2020
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

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

open access: yesمجلة بغداد للعلوم
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]

open access: yes, 2004
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

Unraveling 4‐Phenylbutyrate's Therapeutic Role in SLC6A1 Disorders: Pharmacochaperoning Over HDAC Inhibition

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

Impact of Age on the Diagnostic Yield of Routine EEG in People With Childhood or Juvenile Absence Epilepsy: A Cross‐Sectional Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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]

open access: yes2017 IEEE International Conference on Computer Vision (ICCV), 2017
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

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

open access: yesCoRR, 2017
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]

open access: yes, 2007
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

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