Acquisition matters - how do scan parameters affect apparent diffusion coefficient estimates in pediatric rhabdomyosarcoma

Συγγραφείς: Adams, Madeleine, Bertolini, Patrizia, Chatziantoniou, Cyrano, van Ewijk, Roelof, Bisogno, Gianni, BOUHAMAMA, Amine, Coma, Ana, Gallego, Soledad

Συνεισφορές: Institut Català de la Salut, Chatziantoniou C University Medical Center Utrecht, Utrecht, CX, Netherlands. Princess Máxima Center, Utrecht, Netherlands. van Ewijk R Princess Máxima Center, Utrecht, Netherlands. Adams M Noah’s Ark Children’s Hospital for Wales, Cardif, United Kingdom. Bertolini P University Hospital of Parma, Parma, Italy. Bisogno G University of Padua, Padova, Italy. Bouhamama A Centre Léon Bérard, Lyon, France. Coma A, Gallego S Vall d’Hebron Hospital Universitari, Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus

Πηγή: Scientia

Θεματικοί όροι: Infants, Músculs - Càncer - Imatgeria per ressonància magnètica, Imatges - Processament - Tècniques digitals, NAMED GROUPS::Persons::Age Groups::Child, DISEASES::Neoplasms::Neoplasms by Histologic Type::Neoplasms, Connective and Soft Tissue::Neoplasms, Muscle Tissue::Myosarcoma::Rhabdomyosarcoma, Other subheadings::Other subheadings::Other subheadings::/diagnostic imaging, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Tomography::Magnetic Resonance Imaging::Diffusion Magnetic Resonance Imaging, AND EQUIPMENT::Diagnosis::Diagnosis, Computer-Assisted::Image Interpretation, Computer-Assisted, DENOMINACIONES DE GRUPOS::personas::Grupos de Edad::niño, ENFERMEDADES::neoplasias::neoplasias por tipo histológico::neoplasias de tejido conjuntivo y de tejidos blandos::neoplasias de tejido muscular::miosarcoma::rabdomiosarcoma, Otros calificadores::Otros calificadores::Otros calificadores::/diagnóstico por imagen, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::tomografía::imagen por resonancia magnética::imagen de resonancia magnética de difusión, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::diagnóstico asistido por ordenador::interpretación de imágenes asistida por ordenador

Περιγραφή αρχείου: application/pdf

Relation: Pediatric Radiology;55(8); https://doi.org/10.1007/s00247-025-06263-w; https://hdl.handle.net/11351/13625; 001506150000001

Διαθεσιμότητα: https://hdl.handle.net/11351/13625
https://doi.org/10.1007/s00247-025-06263-w

Appearance-Based Sequential Robot Localization Using a Patchwise Approximation of a Descriptor Manifold

Συγγραφείς: Jaenal, Alberto, Moreno, Francisco-Angel, Gonzalez-Jimenez, Javier

Συνεισφορές: Jaenal,A, Moreno,FA, Gonzalez-Jimenez,J Machine Perception and Intelligent Robotics Group (MAPIR), Department of System Engineering and Automation Biomedical Research Institute of Malaga (IBIMA), University of Malaga, Málaga, Spain., This research was funded by: Government of Spain grant number FPU17/04512, by the “I Plan Propio de Investigación, Transferencia y Divulgación Científica” of the University of Málaga, and under projects ARPEGGIO (PID2020-117057) and WISER (DPI2017-84827-R) financed by the Government of Spain and European Regional Development’s funds (FEDER).

Θεματικοί όροι: Appearance-based localization, Computer vision, Gaussian processes, Manifold learning, Robot vision systems, Indoor positioning, Image manifold, Descriptor manifold, Aprendizaje, Descriptores, Reconocimiento de normas patrones automatizadas, Ambiente, Métodos, Inteligencia artificial, Medical Subject Headings::Health Care::Environment and Public Health::Environment::Environment, Controlled::Lighting, Medical Subject Headings::Information Science::Information Science::Pattern Recognition, Automated, Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Imaging, Three-Dimensional, Medical Subject Headings::Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Decision Making, Computer-Assisted::Diagnosis, Computer-Assisted::Image Interpretation, Computer-Assisted, Medical Subject Headings::Phenomena and Processes::Mathematical Concepts::Probability::Uncertainty, Medical Subject Headings::Health Care::Environment and Public Health::Environment, Medical Subject Headings::Phenomena and Processes::Mathematical Concepts::Statistical Distributions::Normal Distribution, Medical Subject Headings::Information Science::Information Science::Computing Methodologies::Artificial Intelligence

Περιγραφή αρχείου: application/pdf

Relation: https://www.mdpi.com/1424-8220/21/7/2483/htm; Jaenal A, Moreno FA, Gonzalez-Jimenez J. Appearance-Based Sequential Robot Localization Using a Patchwise Approximation of a Descriptor Manifold. Sensors. 2021 Apr 2;21(7):2483; http://hdl.handle.net/10668/3818; PMC8038242

Διαθεσιμότητα: http://hdl.handle.net/10668/3818
https://doi.org/10.3390/s21072483

Effective diagnosis of Alzheimer's disease by means of large margin-based methodology.

Συγγραφείς: Chaves, Rosa, Ramírez, Javier, Górriz, Juan M, Illán, Ignacio A, Gómez-Río, Manuel, Carnero, Cristobal

Συνεισφορές: The Alzheimer’s Disease Neuroimaging Initiative, Chaves,R, Ramírez,J, Górriz,JM, Illán,IA Department of Signal Theory, Networking and Communications, University of Granada. Gómez-Río,M Department of Nuclear Medicine, University Hospital Virgen de las Nieves, Granada, Spain. Carnero,C Department of Neurology, University Hospital Virgen de las Nieves, Granada, Spain., This work was partly supported by the MICINN of Spain under the TEC2008-02113 and TEC2012-34306 project and the Consejeria de Innovacion, Ciencia y Empresa (Junta de Andalucia, Spain) under the Excellence Projects P07-TIC-02566, P09-TIC- 4530 and P11-TIC-7103. The PET data collection and sharing for this project was funded by the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering, and through generous contributions from the following: Abbott, Alzheimer’s Association, Alzheimer’s Drug Discovery Foundation, Amorfix Life Sciences Ltd., AstraZeneca, Bayer HealthCare, BioClinica, Inc., Biogen Idec Inc., Bristol-Myers Squibb Company, Eisai Inc., Elan Pharmaceuticals Inc., Eli Lilly and Company, F. Hoffmann-La Roche Ltd and its affiliated company Genentech, Inc., GE Healthcare, Innogenetics, N.V., IXICO Ltd., Janssen Alzheimer Immunotherapy Research and Development, LLC., Johnson and Johnson Pharmaceutical Research and Development LLC., Medpace, Inc., Merck and Pfizer Inc., Servier, Synarc Inc., and Takeda Pharmaceutical Company. The Canadian Institutes of Health Research is providing funds to support ADNI clinical sites in Canada. Private sector contributions are facilitated by the Foundation for the National Institutes of Health (www.fnih.org). The grantee organization is the Northern California Institute for Research and Education, and the study is coordinated by the Alzheimer’s Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30 AG010129 and K01 AG030514.

Θεματικοί όροι: Anciano, Algoritmos, Enfermedad de Alzheimer, Inteligencia Artificial, Interpretación Estadística de Datos, Diagnóstico Precoz, Femenino, Neuroimagen Funcional, Interpretación de Imagen Asistida por Computador, Tomografía de Emisión de Positrones, Análisis de Componente Principal, Radiofármacos, Sensibilidad y Especificidad, España, Tomografía Computarizada de Emisión de Fotón Único, Medical Subject Headings::Named Groups::Persons::Age Groups::Adult::Aged, Medical Subject Headings::Named Groups::Persons::Age Groups::Adult::Aged::Aged, 80 and over, Medical Subject Headings::Phenomena and Processes::Mathematical Concepts::Algorithms, Medical Subject Headings::Diseases::Nervous System Diseases::Central Nervous System Diseases::Brain Diseases::Dementia::Alzheimer Disease, Medical Subject Headings::Information Science::Information Science::Computing Methodologies::Artificial Intelligence, Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Decision Support Techniques::Data Interpretation, Statistical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Early Diagnosis, Medical Subject Headings::Check Tags::Female, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Neuroimaging::Functional Neuroimaging, Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnosis, Computer-Assisted::Image Interpretation

Περιγραφή αρχείου: application/pdf

Relation: http://www.biomedcentral.com/1472-6947/12/79/abstract; Chaves R, Ramírez J, Górriz JM, Illán IA, Gómez-Río M, Carnero C. Effective diagnosis of Alzheimer's disease by means of large margin-based methodology. BMC Med Inform Decis Mak; 12:79; http://hdl.handle.net/10668/1395; PMC3512495

Διαθεσιμότητα: http://hdl.handle.net/10668/1395
https://doi.org/10.1186/1472-6947-12-79