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Published in 2025 at "Brain and Behavior"
DOI: 10.1002/brb3.70274
Abstract: While automated methods for differential diagnosis of parkinsonian syndromes based on MRI imaging have been introduced, their implementation in clinical practice still underlies considerable challenges.
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Keywords:
diagnosis using;
diagnosis;
parkinsonism diagnosis;
assisted parkinsonism ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.08.138
Abstract: Human tracking and prediction are pervasive nowadays. It is possible to integrate multi-source human tracking data and location based social media data, which includes spatial data, temporal data, and textual data, to make human-mobility prediction…
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Keywords:
bus subway;
human tracking;
using multimodal;
probabilistic routing ... See more keywords
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Published in 2022 at "Advanced Robotics"
DOI: 10.1080/01691864.2022.2141583
Abstract: Humans form concepts from multimodal information obtained from multiple sensory organs and understand the environment and language by predicting unobserved information through these concepts. Robots can also make better predictions by forming concepts from multimodal…
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Keywords:
information;
bert;
model;
using multimodal ... See more keywords
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Published in 2018 at "Retina"
DOI: 10.1097/iae.0000000000002324
Abstract: Evaluating Retinal Histology Using Multimodal Imaging: A Case Study of Coats Disease Coats disease is an idiopathic retinal disorder that is characterized by a spectrum of vascular abnormalities.1 Since the original report by George Coats…
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Keywords:
evaluating retinal;
using multimodal;
coats disease;
case ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3071364
Abstract: This study proposes a novel hands-free interaction method using multimodal gestures such as eye gazing and head gestures and deep learning for human-robot interaction (HRI) in mixed reality (MR) environments. Since human operators hold some…
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Keywords:
hands free;
manipulation;
robot;
interaction ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3416444
Abstract: Parkinson’s disease (PD) is a neurodegenerative disorder characterized by several motor symptoms such as resting tremor, muscular rigidity, slowness of movement and different speech impairments. PD is a kind of singular, multi-system disorder that gradually…
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Keywords:
using multimodal;
speech gait;
parkinson disease;
gait ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3560863
Abstract: This study provides an in-depth exploration of the use of multimodal techniques in developing adaptive learning systems designed for students with special needs using various neural network models: a Baseline Neural Network, Convolutional Neural Network,…
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Keywords:
students special;
using multimodal;
driven innovation;
special needs ... See more keywords
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Published in 2021 at "Journal of Veterinary Internal Medicine"
DOI: 10.1111/jvim.16081
Abstract: Abstract Prostatic leiomyosarcoma is an uncommon tumor encountered in male dogs, with only 2 cases reported in the veterinary literature with no follow‐up described. A 12‐year‐old male intact German Wirehaired Pointer presented for evaluation of…
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Keywords:
dog treated;
prostatic leiomyosarcoma;
using multimodal;
leiomyosarcoma ... See more keywords
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Published in 2025 at "Proceedings of the ACM on Human-Computer Interaction"
DOI: 10.1145/3710996
Abstract: In high-stakes collaborative situations, a decline in collaboration quality can lead to adverse events with significant consequences. Analyses performed by Human factor (HF) specialists, while effective in identifying and addressing collaboration issues, are case-specific and…
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Keywords:
virtual reality;
using multimodal;
collaboration profiles;
collaboration ... See more keywords
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Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0289401
Abstract: Identifying biomarkers is essential to obtain the optimal therapeutic benefit while treating patients with late-life depression (LLD). We compare LLD patients with healthy controls (HC) using resting-state functional magnetic resonance and diffusion tensor imaging data…
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Keywords:
lld patients;
selection method;
using multimodal;
method using ... See more keywords