Results 41 to 50 of about 10,079,567 (236)

Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF2019 Challenge in the Medical Domain [PDF]

open access: yes, 2019
This paper describes the contribution by participants from Umeå University, Sweden, in collaboration with the University of Bern, Switzerland, for the Medical Domain Visual Question Answering challenge hosted by ImageCLEF 2019. We proposed a novel Visual
Sznitman, Raphael   +5 more
core   +1 more source

Region-based Visual Question Answering in the Medical Domain

open access: yes, 2021
Poster: Region-based Visual Question Answering in the Medical ...
Sznitman, Raphael   +2 more
core   +1 more source

The C‐terminal truncated splicing variant of NK1R negatively modulates substance P‐stimulated NK1R signaling

open access: yesFEBS Open Bio, EarlyView.
The neurokinin 1 receptor exists as full‐length (NK1L) and C‐terminally truncated (NK1S) splice variants. We show that NK1S heterodimerizes with NK1L, impairing Gαq coupling and Ca2+ mobilization while enhancing β‐arrestin1 recruitment. NK1S suppresses substance P‐driven gene expression and cell migration, revealing NK1S as an endogenous biased ...
Lan Phuong Nguyen   +8 more
wiley   +1 more source

MedFuseT: A Transformer-Based Model for Advancing Medical Visual Question Answering

open access: yesIEEE Access
As medicine and healthcare continue to evolve, Visual Question Answering (VQA) has emerged as an important application of artificial intelligence.
Hamza Mbarek   +3 more
doaj   +1 more source

Genetic dissection of human ABCE1 in yeast reveals separable requirements for ribosome recycling and suppression of aberrant reinitiation

open access: yesFEBS Open Bio, EarlyView.
Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata   +3 more
wiley   +1 more source

Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion

open access: yesApplied Sciences
Medical Visual Question Answering (Med-VQA) is designed to accurately answer medical questions by analyzing medical images when given both a medical image and its corresponding clinical question.
Junkai Zhang, Bin Li, Shoujun Zhou
doaj   +1 more source

Template-based Question Answering over RDF Data [PDF]

open access: yes, 2012
Unger C, Bühmann L, Lehmann J, Ngomo A-CN, Gerber D, Cimiano P. Template-based Question Answering over RDF Data. In: Association for Computing Machinery, ed. Proceedings of the 21 World Wide Web Conference 2012. ACM Digital Library.
Bühmann, Lorenz   +12 more
core   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani   +10 more
wiley   +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

LCC-DCU C-C question answering task at NTCIR-5 [PDF]

open access: yes, 2005
This paper describes the work for our participation in the NTCIR-5 Chinese to Chinese Question Answering task. Our strategy is based on the “Retrieval plus Extraction” approach.
Jones, Gareth J.F., Wang, Bin
core   +2 more sources

Home - About - Disclaimer - Privacy