Results 221 to 230 of about 1,888,648 (281)

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Unraveling the Molecular Mechanisms of Glioma Recurrence: A Study Integrating Single‐Cell and Spatial Transcriptomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu, Yinjiao Fei, Jiaxuan Ding, Kexin Shi, Jinyan Luo, Yuchen Zhu, Xingjian Sun, Gefei Jiang, Yuandong Cao, Weilin Xu, Shu Zhou   +10 more
wiley   +1 more source

Traumatic Microhemorrhages Are Not Synonymous With Axonal Injury

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Diffuse axonal injury (DAI) is caused by acceleration‐deceleration forces during trauma that shear white matter tracts. Susceptibility‐weighted MRI (SWI) identifies microbleeds that are considered the radiologic hallmark of DAI and are used in clinical prognostication.
Karinn Sytsma, Rhonda Mittenzwei, Heather Maioli, Amanda Kirkland, C. Dirk Keene, Ramon Diaz‐Arrastia, Christine Mac Donald, Chiara Maffei, Brian L. Edlow, Amber L. Nolan   +9 more
wiley   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

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Clustering Functional Data

Journal of Classification, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tarpey, Thaddeus, Kinateder, Kimberly
openaire   +3 more sources

Superparamagnetic Clustering of Data

Physical Review Letters, 1996
We present a new approach for clustering, based on the physical properties of an inhomogeneous ferromagnetic model. We do not assume any structure of the underlying distribution of the data. A Potts spin is assigned to each data point and short range interactions between neighboring points are introduced.
, Blatt, , Wiseman, , Domany
openaire   +2 more sources

Data Mining: Clustering

2019
This article presents a broad overview of the main clustering methodologies. It is accomplished by introducing the clustering problem and the key elements characterizing it. In particular, we describe different distance and similarity measures which can be used in a clustering method.
Amelio A., Tagarelli A.
openaire   +2 more sources

Clustering Criteria in Multiobjective Data Clustering

2012
We consider the choice of clustering criteria for use in multiobjective data clustering. We evaluate four different pairs of criteria, three employed in recent evolutionary algorithms for multiobjective clustering, and one from Delattre and Hansen's seminal exact bicriterion method.
Handl, Julia, Knowles, Joshua
openaire   +1 more source

Data Clustering

2007
Document and information retrieval (IR) is an important task for Web communities. In this chapter, we introduce some clustering methods and focus on their use for the clustering, classification, and retrieval of Web documents.
Dušan Husek, Jaroslav Pokorny, Hana Rezankova, Václav Snasel   +3 more
openaire   +1 more source

Data Clustering

2017
Data clustering can be associated with and used in many research methodologies and application areas. In this chapter, the basics of data clustering and some kind of its applications are given with examples and a real data set. The examples show data types and help to explain basic clustering algorithms.
Basaran, Bulent, Gunes, Fatih
openaire   +2 more sources