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multimodal MRI

Supervised learning-based multimodal MRI brain image analysis

Supervised learning-based multimodal MRI brain image analysis

... (FLAIR) MRI, which is commonly acquired in ...FLAIR MRI to ensure a robust ...in multimodal MRI brain ...the multimodal MRI data ...conventional MRI to improve ...

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Structural and functional brain abnormalities in drug-naive, first-episode, and chronic patients with schizophrenia: a multimodal MRI study

Structural and functional brain abnormalities in drug-naive, first-episode, and chronic patients with schizophrenia: a multimodal MRI study

... Results: Our results indicated that the regional GMV was significantly decreased in patients compared with that in NCs; CSZ patients have more diffused GMV decreases primarily involved in the frontal and temporal lobes ...

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Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial

Multimodal MRI for early diabetic mild cognitive impairment: study protocol of a prospective diagnostic trial

... with multimodal MRI scans including structure magnetic resonance imaging (sMRI), resting state functional magnetic resonance imaging (rs-fMRI), diffusion kurtosis imaging (DKI), and three-dimensional ...

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Outcome of multimodal MRI-guided intravenous thrombolysis in patients with stroke with unknown time of onset

Outcome of multimodal MRI-guided intravenous thrombolysis in patients with stroke with unknown time of onset

... From August 2015 to July 2017, sixty-two patients who received intravenous tPA had multimodal MRI. Among them, 42 (22 male and 20 female) had UTO. Their average age was 63.93. Thirty-eight (90.5%) had ...

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Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels

Supervised learning based multimodal MRI brain tumour segmentation using texture features from supervoxels

... different MRI modalities for brain tumour ...the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) dataset [21,22] organized in conjunction with the international conference on Medical Image ...

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Change in multimodal MRI markers predicts dementia risk in cerebral small vessel disease

Change in multimodal MRI markers predicts dementia risk in cerebral small vessel disease

... study, multimodal MRI was performed annually for 3 years and cognitive assessments annually for 5 years in a cohort of 99 patients with SVD, defined as symptomatic lacunar stroke and confluent white matter ...

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Longitudinal multimodal MRI as prognostic and diagnostic biomarker in presymptomatic familial frontotemporal dementia

Longitudinal multimodal MRI as prognostic and diagnostic biomarker in presymptomatic familial frontotemporal dementia

... Developing and validating sensitive biomarkers for the presymptomatic stage of familial frontotemporal dementia is an important step in early diagnosis and for the design of future therapeutic trials. In the longitudinal ...

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Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

... The MRI protocol (1.5 T Philips Achieva), including structural and functional acquisitions, was completed in a single session. Participants were instructed to keep their eyes closed without falling asleep and ...

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Multimodal MRI of grey matter, white matter, and functional connectivity in cognitively healthy mutation carriers at risk for frontotemporal dementia and Alzheimer's disease

Multimodal MRI of grey matter, white matter, and functional connectivity in cognitively healthy mutation carriers at risk for frontotemporal dementia and Alzheimer's disease

... acquired multimodal magnetic resonance imaging (MRI) brain scans in cognitively healthy subjects with (n=39) and without (n=36) microtubule-associated protein Tau (MAPT) or progranulin (GRN) mutations, and ...

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Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

... structural MRI revealing different diagnostic patterns from those expected in MCI; presence/ diagnosis of uncontrolled seizures; peptic ulcer; car- diovascular disease; neuropathy with conduction difficulties; ...

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Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions

Automated Integration of Multimodal MRI for the Probabilistic Detection of the Central Vein Sign in White Matter Lesions

... Additionally, although the sensitivity and specificity obtained by these biomarkers were lower than those in the manually obDISCUSSION tained CVS proportions, the biomarkers performed co[r] ...

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Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI.

Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI.

... In order to characterise FTD pathophysiology at an earlier stage, presymptomatic carriers of autosomal dominant FTD gene mutations were compared to controls in MRI group analyses (Borroni et al., 2008; Whitwell et ...

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Multimodal MRI-based classification of migraine: using deep learning convolutional neural network

Multimodal MRI-based classification of migraine: using deep learning convolutional neural network

... with the Statistical Parametric Mapping software (SPM8, http://www.fil.ion.ucl.ac.uk/ spm) and the Data Processing Assistant for Resting-State fMRI (DPARSF, http://rfmri .org/DPARS F) toolbox. The first 10 EPI volumes of ...

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Multimodal Topic Labelling

Multimodal Topic Labelling

... We present the results of all systems ( baseline , joint-NN and disjoint-NN ) in Table 2. Each model is trained using 10-fold cross-validation for 10 epochs. Presented results are an average over 20 runs. We display ...

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Multimodal Lexical Translation

Multimodal Lexical Translation

... One of the main motivations to introduce multimodality in Machine Translation is the intuition that information from other modalities could help find the correct sense of am- biguous words in the source sentence, which ...

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The Dedicated MRI Factbook. Esaote MRI: A world of difference

The Dedicated MRI Factbook. Esaote MRI: A world of difference

... musculoskeletal MRI system covering all applications from foot to shoulders and the most important spine segments such as L & C-spine Weight-bearing: a new frontier in spine and knee MRI giving your ...

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Multimodal Imaging in Malignant Brain Tumors: Enhancing the Preoperative Risk Evaluation for Motor Deficits with a Combined Hybrid MRI PET and Navigated Transcranial Magnetic Stimulation Approach

Multimodal Imaging in Malignant Brain Tumors: Enhancing the Preoperative Risk Evaluation for Motor Deficits with a Combined Hybrid MRI PET and Navigated Transcranial Magnetic Stimulation Approach

... The study was approved by the University of Cologne ethics committee. Written informed consent was obtained from all patients. Three patients were not scanned by PET due to a recently performed PET before the study. All ...

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Optimization in Multimodal Interpretation

Optimization in Multimodal Interpretation

... In a multimodal conversation, the way users communicate with a system depends on the available interaction channels and the situated context (e.g., conversation focus, visual feedback). These dependencies form a ...

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Multimodal Word Distributions

Multimodal Word Distributions

... Word embeddings provide point represen- tations of words containing useful seman- tic information. We introduce multimodal word distributions formed from Gaussian mixtures, for multiple word meanings, en- ...

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Multimodal Database Query

Multimodal Database Query

... Multimodal Database Query M u l t i m o d a l D a t a b a s e Q u e r y N i c h o l a s J H a d d o c k t t e w l e t t P a c k a r d L a b o r a t o r i e s F i l t o n R o a d , S t o k e G i f f o[.] ...

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