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Learning brain MRI quality control: a multi-factorial generalization problem [article]

Ghiles Reguig, Marie Chupin, Hugo Dary, Eric Bardinet, Stéphane Lehéricy, Romain Valabregue
2022 arXiv   pre-print
However, the generalization of these methods on new data independent of those used for learning is a difficult problem because of the biases inherent in MRI data.  ...  Due to the growing number of MRI data, automated quality control (QC) has become essential, especially for larger scale analysis.  ...  Acknowledgments This study was performed in the context of the CATI's methodological research program aiming at improving MRI acquisitions' quality assessment for a large set of different clinical research  ... 
arXiv:2205.15898v1 fatcat:ab4heuee5rg7xjekso4w3o7hjy

Web-based cognitive training for breast cancer survivors with cognitive complaints-a randomized controlled trial

MF Damholdt, M Mehlsen, MS O'Toole, RK Andreasen, AD Pedersen, R Zachariae
2016 Psycho-Oncology  
We aim to engage in a discussion that will highlight the significant potential of brain connectivity as a biomarker of chemotherapy-related cognitive impairment.  ...  These studies consistently show correlations between brain connectivity and cognitive outcome, and demonstrate the complexity of interpreting these relationships.  ...  In the CHT-group, a different pattern of results emerged with aberrant levels of brain activity and quality of life at T0 that generally normalized at T1.  ... 
doi:10.1002/pon.4058 pmid:26763774 pmcid:PMC5111748 fatcat:swsdqlqtkbdqppkdkdpwmxi6zq

An Ensemble Based Classification Approach For Medical Images

B.Chitradevi, N.Thinaharan
2017 Zenodo  
Now-a-days more researchers are applying the ensemble learning algorithm for classification to obtain high accuracy in an effectual manner.  ...  Ensemble classification is a classifier applied to improve the performance of the single classifiers by fusing the output of the individual classifier models.  ...  (if a patient suffers a certain disease or not)  Classification property is being good enough or discarded (quality control in factories).  Classification property is the significance of the article  ... 
doi:10.5281/zenodo.891658 fatcat:cintk4ngdzah7eymf4azuj7zqm

Dosing parameters for the effects of high-frequency transcranial magnetic stimulation on smoking cessation: study protocol for a randomized factorial sham-controlled clinical trial

Ellen Carl, Amylynn Liskiewicz, Cheryl Rivard, Ronald Alberico, Ahmed Belal, Martin C. Mahoney, Amanda J. Quisenberry, Warren K. Bickel, Christine E. Sheffer
2020 BMC Psychology  
This is a fully crossed, double-blinded, sham-controlled, 3x2x2 randomized factorial study.  ...  This study integrates existing theoretical concepts and methodologies from neuropsychology, behavioral economics, brain stimulation, clinical psychology, and the evidence-based treatment of tobacco dependence  ...  These acquired skills include self-monitoring, impulse control, stimulus control, stress management, and problem solving, etc.  ... 
doi:10.1186/s40359-020-00403-7 pmid:32357940 fatcat:kb3jdzweqnbbjp2kfbf3xf7eci

Context Estimation for Sensorimotor Control

Philipp Vetter, Daniel M. Wolpert
2000 Journal of Neurophysiology  
However, if we want to apply MOSAIC to a multi-dimensional control problem, such as a 2-degrees of freedom arm, then several outputs have to be generated -a shoulder and an elbow torque in the case of  ...  Modular control architectures Our ability to coordinate movement testifies to the quality of control we have over our nonlinear and nonstationary dynamics.  ... 
doi:10.1152/jn.2000.84.2.1026 pmid:10938325 fatcat:rn55eevaarcednhoefrvpssgyi

Parallel Changes in Cognitive Function and Gray Matter Volume After Multi-Component Training of Cognitive Control (MTCC) in Adolescents

Dasom Lee, Seyul Kwak, Jeanyung Chey
2019 Frontiers in Human Neuroscience  
These results imply that MTCC may affect brain structure relevant to inhibitory control process.  ...  This study investigated the effects of multi-component training of cognitive control (MTCC) in order to examine whether the training enhanced adolescents' cognitive control ability and if the effects were  ...  their right inferior frontal cortex volume, a key brain region for inhibitory control.  ... 
doi:10.3389/fnhum.2019.00246 pmid:31379541 pmcid:PMC6646454 fatcat:hxsiufynm5hdnh52udl24ahwwi

CoTeSys—Cognition for Technical Systems

Martin Buss, Michael Beetz
2010 Künstliche Intelligenz  
The COTESYS cluster of excellence a investigates cognition for technical systems such as vehicles, robots, and factories.  ...  Cognitive capabilities such as perception, reasoning, learning, and planning turn technical systems into systems that "know what they are doing".  ...  Functional MRI images of rat brains have shown neural activation patterns of place cells similar to multimodal probability distributions in robot localization using Bayesian filters.  ... 
doi:10.1007/s13218-010-0061-z fatcat:2qdtnuxdpzdkjmc6nalkm5xt2e

Lung disease as a determinant of cognitive decline and dementia

James W Dodd
2015 Alzheimer's Research & Therapy  
While the mechanisms of brain pathology and cognitive impairment are likely to be complex and multi-factorial, there is evidence to suggest a key role for occult cerebrovascular damage independent of traditional  ...  Co-morbid cognitive dysfunction also appears to impact on important outcomes such as quality of life, hospitalisation and survival.  ...  The mechanisms of brain pathology and cognitive impairment are likely to be complex and multi-factorial but MRI suggests a potential COPD-specific cerebrovascular effect.  ... 
doi:10.1186/s13195-015-0116-3 pmid:25798202 pmcid:PMC4369069 fatcat:sfuomuawzzcivatqtvh5en7uqq

Study of Mental Activity and Regular Training (SMART) in at risk individuals: A randomised double blind, sham controlled, longitudinal trial

Nicola J Gates, Michael Valenzuela, Perminder S Sachdev, Nalin A Singh, Bernhard T Baune, Henry Brodaty, Chao Suo, Nidhi Jain, Guy C Wilson, Yi Wang, Michael K Baker, Dominique Williamson (+2 others)
2011 BMC Geriatrics  
, and brain morphology and function via Magnetic Resonance Imaging (MRI) and Spectroscopy (fMRS).  ...  Participants are randomized into 1 of 4 supervised training groups (2 d/wk × 6 mo) in a fully factorial design.  ...  MV is supported by a University of New South Wales Vice Chancellor's Fellowship. Donations for participant rewards were received from Gregory and Carr Funerals.  ... 
doi:10.1186/1471-2318-11-19 pmid:21510896 pmcid:PMC3110111 fatcat:utlkedoefngy5ailyxhz5a2d7e

Quality Control in Fiore Sardo PDO Cheese: Detection of Heat Treatment Application and Production Chain by MRI Relaxometry and Image Analysis

Roberto Anedda, Riccardo Melis, Elena Curti
2021 Dairy  
Here, a combined magnetic resonance imaging (MRI) relaxometry and image analysis approach to recognize FS made from raw milk is presented.  ...  Since visual appearance of RC and HTC is appreciably different, an image analysis deep learning approach using MRI and photographic pictures was adopted to discriminate the two productions, with promising  ...  RC and maturer cheeses were generally described by higherDairy 2021, 2, x. https://doi.org/10.3390/xxxxx www.mdpi.com/journal/dairy Article Quality Control in Fiore Sardo PDO Cheese: Detection of Heat  ... 
doi:10.3390/dairy2020023 fatcat:2eck2ivcfbedfl2l33gqlogl5e

Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer's Disease in AIBL Data: Group and Individual Analyses

Vahab Youssofzadeh, Bernadette McGuinness, Liam P. Maguire, KongFatt Wong-Lin
2017 Frontiers in Human Neuroscience  
Specifically, we combined a Dartel algorithm to enhance anatomical registration with multi-kernel learning (MKL) technique, yielding an average of >95% accuracy for three binary classification problems  ...  In this work, we apply a multi-modal imaging machine-learning framework to enhance AD classification and prediction of diagnosis of subject-matched gray matter MRI and Pittsburgh compound B (PiB)-PET data  ...  (F) A summary of classification accuracies obtained by single and multi-modal data. FIGURE 5 | 5 Weight (per region) maps modeled by multi-kernel learning (MKL) using GM-MRI data.  ... 
doi:10.3389/fnhum.2017.00380 pmid:28790908 pmcid:PMC5524673 fatcat:ftsrnn4kjfdvdp2ifueuhd436a

TVA-based modeling of short-term memory capacity, speed of processing and perceptual threshold in chronic stroke patients undergoing cognitive training: case-control differences, reliability, and associations with cognitive performance

Geneviève Richard, Anders Petersen, Kristine Moe Ulrichsen, Knut K. Kolskår, Dag Alnæs, Anne-Marthe Sanders, Erlend S. Dørum, Hege Ihle-Hansen, Jan E. Nordvik, Lars T. Westlye
2020 PeerJ  
These mechanisms are fundamental for more complex cognitive functions such as learning, planning and cognitive control, all crucial for daily functioning.  ...  in a cross-sectional case-control comparison and across six repeated assessments over the course of a three-week computerized cognitive training (CCT) intervention in chronic stroke patients (> 6 months  ...  Using brain age prediction based on MRI based brain morphometry and machine learning, we tested the hypotheses that stroke patients with a younger-appearing brain relative to their chronological age perform  ... 
doi:10.7717/peerj.9948 pmid:33194366 pmcid:PMC7602688 fatcat:duvpuh3ujrchnav5fkcmuqk3wq

Front Matter: Volume 11595

Hilde Bosmans, Wei Zhao, Lifeng Yu
2021 Medical Imaging 2021: Physics of Medical Imaging  
Contents Part One CT: OPTIMIZATION AND IMAGE QUALITY 04 Multi-factorial optimization of imaging parameters for quantifying coronary stenosis in cardiac CT 11595 05 A method for optimizing the x-ray  ...  quality control protocol for dual-energy based contrast-enhanced digital mammography POSTERS: ALGORITHM DEVELOPMENT 2C Classification of round lesions in dual-energy FFDM using a convolutional neural  ...  novel algorithm to improve image quality in chest digital tomosynthesis using convolutional neural network with super-resolution 11595 3G Stationary multi x-ray source system with carbon nanotube emitters  ... 
doi:10.1117/12.2595450 fatcat:dji2t6dpdfantjoyxtpdik6yvu

Offshoring Professional Services: Institutions and Professional Control

Kyoung-Hee Yu, Frank Levy
2010 British Journal of Industrial Relations  
A "slice" refers to a cross-sectional image of the brain, abdomen, or other body region.  ...  Radiologists raised two chief concerns: quality control and impeded skills development for Singapore's radiologists.  ... 
doi:10.1111/j.1467-8543.2010.00812.x fatcat:noenx2ny2fc7vnarfpwrhjncxa

Amusement for the elderly using radio-controlled cars

J. Niitsuma, N. Tsuda, N. Tejima
2002 Gerontechnology  
Objective: The aim of the project was to determine the response of older adults to a CD-ROM based multi-media program developed integrating geriatric learning and technology principles, with the desired  ...  Both groups completed a 25 item general Knowledge about Memory Loss Test (primary outcome), socio-demographic and technology usage questionnaire. In addition, viewers completed a user evaluation.  ...  The Good Samaritan Society (GSS) a multi-site continuing care and assisted living service provider is committed to promoting quality of life and providing quality care for its clients.  ... 
doi:10.4017/gt.2002.02.01.024.00 fatcat:dejjm53635cubdz32svncuwqka
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