Výsledky vyhľadávania - "ddc:616.8"

Electroencephalographic Microstates as Novel Functional Biomarkers for Adult Attention-Deficit/Hyperactivity Disorder

Autori: Ferat, Victor Arns, Martijn Deiber, Marie-Pierre a ďalší

Zdroj: Biological psychiatry (2021)

Predmety: Microstates, Adult, 616.8, Rest, Electroencephalography, Sleep disorders, ddc:616.8, ddc:616.89, 03 medical and health sciences, 0302 clinical medicine, Attention Deficit Disorder with Hyperactivity, 616.89, ADHD, Humans, Attention, EEG, Resting state, Evoked Potentials, Biomarkers

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34823049
https://www.sciencedirect.com/science/article/pii/S2451902221003190
https://www.ncbi.nlm.nih.gov/pubmed/34823049
https://pubmed.ncbi.nlm.nih.gov/34823049/
https://archive-ouverte.unige.ch/unige:156996

A Multi-Componential Approach to Emotion Recognition and the Effect of Personality

Autori: Gelareh Mohammadi Patrik Vuilleumier

Zdroj: IEEE Transactions on Affective Computing (2020)

Predmety: anzsrc-for: 1702 Cognitive Sciences, FOS: Computer and information sciences, Computer Science - Machine Learning, 616.8, 4608 Human-Centred Computing, Computer Science - Artificial Intelligence, anzsrc-for: 46 Information and Computing Sciences, 128.37, Basic Behavioral and Social Science, anzsrc-for: 0806 Information Systems, Machine Learning (cs.LG), anzsrc-for: 4608 Human-Centred Computing, Computer Science - Robotics, 46 Information and Computing Sciences, Clinical Research, Behavioral and Social Science, 0501 psychology and cognitive sciences, 05 social sciences, anzsrc-for: 4603 Computer vision and multimedia computation, ddc:616.8, ddc:128.37, Artificial Intelligence (cs.AI), Quantitative Biology - Neurons and Cognition, FOS: Biological sciences, anzsrc-for: 4602 Artificial intelligence, Neurons and Cognition (q-bio.NC), anzsrc-for: 0801 Artificial Intelligence and Image Processing, Mind and Body, Robotics (cs.RO)

Popis súboru: application/pdf

Prístupová URL adresa: https://archive-ouverte.unige.ch/unige:144760/ATTACHMENT01
http://arxiv.org/abs/2010.11370
https://dblp.uni-trier.de/db/journals/corr/corr2010.html#abs-2010-11370
https://archive-ouverte.unige.ch/unige:144760
https://www.computer.org/csdl/journal/ta/5555/01/09210819/1nzuXGYbAeA
https://archive-ouverte.unige.ch/unige:144760/ATTACHMENT01
https://ieeexplore.ieee.org/document/9210819
http://ui.adsabs.harvard.edu/abs/2020arXiv201011370M/abstract
https://arxiv.org/abs/2010.11370
https://arxiv.org/pdf/2010.11370
https://archive-ouverte.unige.ch/unige:144760
https://doi.org/10.1109/taffc.2020.3028109
https://archive-ouverte.unige.ch/unige:144760

Cardiac Investigations in Sudden Unexpected Death in DEPDC5‐Related Epilepsy

Autori: A. Sieghart S. Henderson L. J. Jones a ďalší

Prispievatelia: A. Sieghart S. Henderson L. J. Jones a ďalší

Zdroj: Ann Neurol
Annals of neurology (2021)

Predmety: Adult, Male, 616.8, Adolescent, Tumor Suppressor Proteins, GTPase-Activating Proteins, [SDV.NEU.NB] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology, Electroencephalography, Heart, Middle Aged, ddc:616.8, 3. Good health, Electrocardiography, Mice, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Mutation, Animals, Humans, Female, Epilepsies, Partial, Sudden Unexpected Death in Epilepsy, Research Articles

Popis súboru: application/pdf

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ana.26256
https://pubmed.ncbi.nlm.nih.gov/34693554
https://onlinelibrary.wiley.com/doi/10.1002/ana.26256?af=R
https://discovery.ucl.ac.uk/id/eprint/10137689/
https://archive-ouverte.unige.ch/unige:157183
https://discovery-pp.ucl.ac.uk/id/eprint/10137689/

Human Retinal Pigment Epithelial Cells Overexpressing the Neuroprotective Proteins PEDF and GM-CSF to Treat Degeneration of the Neural Retina

Autori: Thais Bascuas Hajer Zedira Martina Kropp a ďalší

Zdroj: Current Gene Therapy, Vol. 22, No 2 (2022) pp. 168-183

Predmety: 0301 basic medicine, RPE cells, Retinal Pigment Epithelium, Retina, Ocular gene therapy, 03 medical and health sciences, Sleeping beauty transposon, Animals, Humans, Nerve Growth Factors, Eye Proteins, Cells, Cultured, Serpins, Age-related macular degeneration, Retinal Degeneration, Granulocyte-Macrophage Colony-Stimulating Factor, GM-CSF, Epithelial Cells, Hydrogen Peroxide, Non-viral gene delivery, Glutathione, ddc:616.8, Rats, 3. Good health, PEDF, Retinal Pigments, oxidative stress damage

Prístupová URL adresa: https://archive-ouverte.unige.ch/unige:154850/ATTACHMENT01
https://pubmed.ncbi.nlm.nih.gov/34238157
https://pubmed.ncbi.nlm.nih.gov/34238157/
https://europepmc.org/article/MED/34238157
https://www.eurekaselect.com/194569/article
https://archive-ouverte.unige.ch/unige:154850
https://archive-ouverte.unige.ch/unige:154850

Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging

Autori: Mostafapour, Samaneh Gholamiankhah, Faeze Maroufpour, Sirwan a ďalší

Zdroj: Journal of computational design and engineering, Vol. 9, No 2 (2022) pp. 434-447
Mostafapour, S, Gholamiankhah, F, Maroufpour, S, Momennezhad, M, Asadinezhad, M, Zakavi, S R, Arabi, H & Zaidi, H 2022, ' Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging ', Journal of Computational Design and Engineering, vol. 9, no. 2, pp. 434-447 . https://doi.org/10.1093/jcde/qwac008

Predmety: 616.8, Attenuation correction, ARTIFACT, IMPACT, MISREGISTRATION, ddc:616.0757, 03 medical and health sciences, 0302 clinical medicine, Quantification, COMPUTED-TOMOGRAPHY, RECONSTRUCTION, RISK, 616.0757, Myocardial perfusion imaging, deep learning, Deep learning, myocardial perfusion imaging, attenuation correction, quantification, ddc:616.8, PROGNOSTIC VALUE, PET, SPECT, MRI, GENERATION

Popis súboru: application/pdf

Prístupová URL adresa: https://archive-ouverte.unige.ch/unige:159649
https://findresearcher.sdu.dk:8443/ws/files/201696208/qwac008.pdf

Long-Term Outcomes of Bacillary Layer Detachment in Neovascular Age-Related Macular Degeneration

Autori: Prithvi Ramtohul Ariane Malclès Edward Gigon a ďalší

Zdroj: Ophthalmology retina, Vol. 6, No 3 (2022) pp. 185-195

Predmety: Vascular Endothelial Growth Factor A, 616.8, Age-related macular degeneration, Angiogenesis Inhibitors, Fibrosis, ddc:616.8, 3. Good health, Macular Degeneration, 03 medical and health sciences, 0302 clinical medicine, Intravitreal injection, Bacillary layer detachment, Multimodal imaging, Intravitreal Injections, Humans, Fluorescein Angiography, Tomography, Optical Coherence, Retrospective Studies

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34587559
https://www.sciencedirect.com/science/article/abs/pii/S2468653021002979
https://www.ncbi.nlm.nih.gov/pubmed/34587559
https://europepmc.org/article/MED/34587559
https://pubmed.ncbi.nlm.nih.gov/34587559/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121754081&doi=10.1016/j.oret.2021.09.010&partnerID=40&md5=f93531a0bcf6dfc234e3f30ea0494a47
https://doi.org/10.1016/j.oret.2021.09.010
https://hdl.handle.net/20.500.11768/126927
https://archive-ouverte.unige.ch/unige:159982
https://archive-ouverte.unige.ch/unige:159982
https://doi.org/10.1016/j.oret.2021.09.010

Safety and Effectiveness of the PRESERFLO® MicroShunt in Primary Open-Angle Glaucoma: Results from a 2-Year Multicenter Study

Autori: Henny J.M. Beckers Florent Aptel Carroll A.B. Webers a ďalší

Prispievatelia: Henny J.M. Beckers Florent Aptel Carroll A.B. Webers a ďalší

Zdroj: Docta Complutense
instname
E-Prints Complutense. Archivo Institucional de la UCM
Universitad de Lleida
Ophthalmology. Glaucoma (2021)

Predmety: 0301 basic medicine, Mitomycin, SIBS, Ocular Hypotension, Trabeculectomy, 12. Responsible consumption, Tonometry, Ocular, 03 medical and health sciences, 0302 clinical medicine, Cirugía, 615.015.154, Humans, 612.842.6, Glaucoma filtration surgery, Intraocular Pressure, 3213 Cirugía, 2. Zero hunger, 617.7‑007.681-089, Primary open-angle glaucoma, MIGS, Glaucoma, Primary open angle glaucoma, ddc:616.8, 3. Good health, Clinical trial, 3201.09 Oftalmología, Oftalmología, Óptica oftálmica, Glaucoma, Open-Angle

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34329772
https://hdl.handle.net/20.500.14352/4806
https://eprints.ucm.es/id/eprint/71396/7/1-s2.0-S2589419621001794-main.pdf
https://eprints.ucm.es/id/eprint/71396/1/PIIS2589419621001794.pdf
https://pubmed.ncbi.nlm.nih.gov/34329772/
https://www.ophthalmologyglaucoma.org/article/S2589-4196(21)00179-4/fulltext
https://www.sciencedirect.com/science/article/pii/S2589419621001794
https://archive-ouverte.unige.ch/unige:154474
https://archive-ouverte.unige.ch/unige:154474

Preferential Involvement of BRCA1/BARD1, Not Tip60/Fe65, in DNA Double-Strand Break Repair in Presenilin-1 P117L Alzheimer Models

Autori: Marcella M. Authiat Emmanuelle Gruz-Gibelli Julien Colas a ďalší

Zdroj: Neural Plast
Neural Plasticity, Vol 2022 (2022)
Neural plasticity, Vol. 2022 (2022) P. 3172861

Predmety: 0301 basic medicine, 616.8, DNA Repair, Neurosciences. Biological psychiatry. Neuropsychiatry, DNA, ddc:616.8, Mice, Inbred C57BL, 618.97, ddc:616.89, Mice, 03 medical and health sciences, ddc:590, Alzheimer Disease, 616.89, ddc:618.97, Presenilin-1, Animals, DNA Breaks, Double-Stranded, RC321-571, Research Article

Popis súboru: text/xhtml; application/pdf

Prístupová URL adresa: https://downloads.hindawi.com/journals/np/2022/3172861.pdf
https://pubmed.ncbi.nlm.nih.gov/35237315
https://doaj.org/article/930e3237b0754f0ea070605a6b1e47c2
https://archive-ouverte.unige.ch/unige:159938
https://archive-ouverte.unige.ch/unige:159938
https://doi.org/10.1155/2022/3172861

Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models’ Performance and Robustness

Autori: Sanaat, Amirhossein Shiri Lord, Isaac Ferdowsi, Sohrab a ďalší

Zdroj: J Digit Imaging
Journal of digital imaging (2022)

Predmety: 616.8, Attenuation correction, 616.0757, Data augmentation, Low-dose, Brain, Brain PET, Deep learning, Neuroimaging, ddc:616.0757, Magnetic Resonance Imaging, Article, ddc:616.8, 3. Good health, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Positron Emission Tomography Computed Tomography, Image Processing, Computer-Assisted, Humans

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s10278-021-00536-0.pdf
https://pubmed.ncbi.nlm.nih.gov/35137305
https://research.rug.nl/en/publications/4c876cc2-6100-4896-8569-ff1c555fb761
https://hdl.handle.net/11370/4c876cc2-6100-4896-8569-ff1c555fb761
https://doi.org/10.1007/s10278-021-00536-0
https://archive-ouverte.unige.ch/unige:158884
https://doi.org/10.1007/s10278-021-00536-0
https://archive-ouverte.unige.ch/unige:158884
https://portal.findresearcher.sdu.dk/da/publications/9c726743-d2c3-4054-90e6-0d65cf5600da
https://doi.org/10.1007/s10278-021-00536-0

Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm: The Quest for the Optimal Machine Learning Algorithm

Autori: Amini, Mehdi Hajianfar, Ghasem Hadadi Avval, Atlas a ďalší

Zdroj: Clinical oncology, Vol. 34, No 2 (2022) pp. 114-127
Amini, M, Hajianfar, G, Hadadi Avval, A, Nazari, M, Deevband, M R, Oveisi, M, Shiri, I & Zaidi, H 2022, ' Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features : The Quest for the Optimal Machine Learning Algorithm ', Clinical Oncology, vol. 34, no. 2, pp. 114-127 . https://doi.org/10.1016/j.clon.2021.11.014

Predmety: 616.8, Radiomics, Lung Neoplasms, 616.0757, PET/CT, Prognosis, ddc:616.0757, Multimodal Imaging, ddc:616.8, 3. Good health, Machine Learning, 03 medical and health sciences, machine learning, 0302 clinical medicine, Non-small cell lung cancer, radiomics, Carcinoma, Non-Small-Cell Lung, Positron Emission Tomography Computed Tomography, Machine learning, Humans, Fusion, non-small cell lung cancer, Algorithms

Popis súboru: application/pdf

Prístupová URL adresa: http://www.clinicaloncologyonline.net/article/S0936655521004337/pdf
https://pubmed.ncbi.nlm.nih.gov/34872823
https://archive-ouverte.unige.ch/unige:158882
https://doi.org/10.1016/j.clon.2021.11.014
https://archive-ouverte.unige.ch/unige:158882
https://findresearcher.sdu.dk:8443/ws/files/197596787/PIIS0936655521004337.pdf

Vessels Sing Their ARIAs: The Role of Vascular Amyloid in the Age of Aducanumab

Autori: Sveikata, Lukas Charidimou, Andreas Viswanathan, Anand

Zdroj: Stroke, Vol. 53, No 1 (2022) pp. 298-302

Predmety: Amyloid, 616.8, Amyloid beta-Peptides, Time Factors, Cerebrovascular disorders, Mild cognitive impairment, Antibodies, Monoclonal, Humanized, ddc:616.8, 3. Good health, Cerebral Amyloid Angiopathy, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, Memory disorders, Humans, Immunotherapy, Alzheimer disease, Cerebral amyloid angiopathy

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34905943
https://archive-ouverte.unige.ch/unige:157696
https://archive-ouverte.unige.ch/unige:157696
https://doi.org/10.1161/strokeaha.121.036873

Linear distributed inverse solutions for interictal EEG source localisation

Autori: Carboni, Margherita Brunet, Denis Seeber, Martin a ďalší

Zdroj: Clinical neurophysiology, Vol. 133 (2022) pp. 58-67

Predmety: Brain Mapping, 616.8, Epilepsy, 05 social sciences, Minimum Norm, Brain, Electroencephalography, SLORETA, LORETA, Local Autoregressive Average, ddc:616.8, ELORETA, 03 medical and health sciences, 0302 clinical medicine, Weighted Minimum Norm, Humans, 0501 psychology and cognitive sciences, Algorithms

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/34801964
https://www.sciencedirect.com/science/article/pii/S1388245721007768
https://pubmed.ncbi.nlm.nih.gov/34801964/
https://archive-ouverte.unige.ch/unige:159657
https://doi.org/10.1016/j.clinph.2021.10.008
https://archive-ouverte.unige.ch/unige:159657

Grand Challenges in global eye health: a global prioritisation process using Delphi method

Autori: Ramke, J. Evans, J. R. Habtamu, E. a ďalší

Prispievatelia: Ramke, J. Evans, J. R. Habtamu, E. a ďalší

Zdroj: Lancet Healthy Longev
The Lancet. Healthy longevity
The Lancet. Healthy Longevity, Vol 3, Iss 1, Pp e31-e41 (2022)
The Lancet. Healthy longevity, Vol. 3, No 1 (2022) pp. e31-e41
Ramke, J, Evans, J R, Habtamu, E, Mwangi, N, Silva, J C, Swenor, B K, Congdon, N, Faal, H B, Foster, A, Friedman, D S, Gichuhi, S, Jonas, J B, Khaw, P T, Kyari, F, Murthy, G V S, Wang, N, Wong, T Y, Wormald, R, Yusufu, M, Taylor, H, Resnikoff, S, West, S K, Burton, M J, Aghaji, A, Adewole, A T, Csutak, A, Salam, A S, Paduca, A, Bron, A M, Denniston, A K, Lazo Legua, A, Halim, A, Tefera, A W, Mwangi, A, Jenkins, A J, Davis, A, Meddeb-Ouertani, A, Wali, A H, Palis, A G, Bastos de Carvalho, A, Joshi, A, Kreis, A J, Mueller, A, Azuara-Blanco, A, Patel, D, Kennedy, N, Lois, N, Piyasena, P, Cogliati, T, Peto, T & Grand Challenges in Global Eye Health study group 2022, 'Grand Challenges in global eye health: a global prioritisation process using Delphi method', The Lancet. Healthy longevity, vol. 3, no. 1, pp. e31-e41. https://doi.org/10.1016/S2666-7568(21)00302-0

Predmety: Male, Artificial intelligence, Delphi Technique, Sociology and Political Science, FOS: Political science, 4202 Epidemiology, Social Sciences, Delphi Method, anzsrc-for: 4202 Epidemiology, FOS: Health sciences, Eye, Blindness, Global Health, Health Services Accessibility, anzsrc-for: 4206 Public Health, Context (archaeology), name=SDG 3 - Good Health and Well-being, Health Risks and Diseases in Travelers, Child, 10. No inequality, Political science, Public health, anzsrc-for: 42 Health Sciences, Geography, name=Geriatrics and Gerontology, name=Health(social science), 3 Good Health and Well Being, Articles, Health Services, 16. Peace & justice, 3. Good health, Environmental health, Archaeology, 4206 Public Health, Medicine, Female, 616.8, Population, Global health, Delphi method, Grand Challenges in Global Eye Health study group, FOS: Law, Nursing, The Delphi Method in Research and Consensus Building, name=Psychiatry and Mental health, Clinical Research, Health Sciences, Humans, Eye Disease and Disorders of Vision, Africa South of the Sahara, ddc:613, Prevention, RC952-954.6, Public Health, Environmental and Occupational Health, Health care, 42 Health Sciences, name=Family Practice, Computer science, ddc:616.8, Geriatrics, 13. Climate action, RE, Global Surgery and Health Development, RA, Law, Optometry

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35028632
https://researchonline.lshtm.ac.uk/id/eprint/4664623/1/Ramke_etal_2022_Grand-Challenges-in-global-eye-health.pdf
https://openaccess.city.ac.uk/id/eprint/27456/8/1-s2.0-S2666756821003020-main.pdf
https://doaj.org/article/2b065cfdcd8540b7951cd649d9f9682e
https://archive-ouverte.unige.ch/unige:160074
https://doi.org/10.1016/s2666-7568(21)00302-0
https://archive-ouverte.unige.ch/unige:160074
https://pure.qub.ac.uk/en/publications/a3c2c43f-dc7f-41ff-aa59-2ae48b6dd014
https://discovery-pp.ucl.ac.uk/id/eprint/10142223/

Insular Stimulation Produces Mental Clarity and Bliss

Autori: Nencha, Umberto Spinelli, Laurent Vulliemoz, Serge a ďalší

Zdroj: Ann Neurol
Annals of neurology, Vol. 91, No 2 (2022) pp. 289-292

Predmety: Cerebral Cortex, Male, Drug Resistant Epilepsy, 616.8, 05 social sciences, Electroencephalography, Euphoria, Middle Aged, Magnetic Resonance Imaging, Electric Stimulation, ddc:616.8, 03 medical and health sciences, Treatment Outcome, 0302 clinical medicine, Humans, 0501 psychology and cognitive sciences, Brief Communications, Tomography, X-Ray Computed, Mysticism

Popis súboru: application/pdf

Prístupová URL adresa: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ana.26282
https://pubmed.ncbi.nlm.nih.gov/34877703
https://archive-ouverte.unige.ch/unige:158800

Bilateral vestibulopathy patients’ perspectives on vestibular implant treatment: a qualitative study

Autori: van Stiphout, Lisa Lucieer, Florence Guinand, Nils a ďalší

Zdroj: J Neurol
Journal of neurology (2021)
Journal of neurology

Predmety: HEARING, OUTCOMES, 616.8, Original Communication, IMPACT, Bilateral Vestibulopathy, OF-LIFE, Vision Disorders, Bilateral vestibulopathy, ddc:616.8, 03 medical and health sciences, 0302 clinical medicine, CAUSATIVE FACTORS, Quality of Life, EPIDEMIOLOGY, CRITERIA, Humans, Human medicine, Vestibule, Labyrinth, Qualitative study, Patient expectations, EXPECTATIONS, Vestibular implant

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s00415-021-10920-z.pdf
https://pubmed.ncbi.nlm.nih.gov/34894283
https://cris.maastrichtuniversity.nl/en/publications/aa23803c-9ef4-44b6-99e4-7352955b181f
https://doi.org/10.1007/s00415-021-10920-z
https://archive-ouverte.unige.ch/unige:158947
https://doi.org/10.1007/s00415-021-10920-z
https://archive-ouverte.unige.ch/unige:158947
https://repository.uantwerpen.be/docstore/d:irua:9708
https://hdl.handle.net/10067/1842000151162165141

The DizzyQuest: relation between self-reported hearing loss, tinnitus and objective hearing thresholds in patients with Meniere’s disease: relation between self-reported hearing loss, tinnitus and objective hearing thresholds in patients with Meniere's disease

Autori: Martin, E C Verkaik, R Stultiens, J J A a ďalší

Zdroj: J Neurol
Journal of neurology (2021)

Predmety: 616.8, ACCURACY, SENSE, Clinical Neurology, Criminology, Tinnitus, 03 medical and health sciences, 0302 clinical medicine, Audiometry, Hearing, QUALITY-OF-LIFE, DIZZINESS, COHERENCE, ANXIETY, Humans, Hearing Loss, Meniere Disease, Science & Technology, Original Communication, DizzyQuest, Meniere's disease, Hearing loss, Experience sampling, ddc:616.8, Audiometry, Pure-Tone, Neurosciences & Neurology, Self Report, Life Sciences & Biomedicine

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s00415-021-10909-8.pdf
https://pubmed.ncbi.nlm.nih.gov/34894282
https://cris.maastrichtuniversity.nl/en/publications/c3a2ce8f-4d81-4e78-bbe4-650f6bb63de7
https://doi.org/10.1007/s00415-021-10909-8
https://archive-ouverte.unige.ch/unige:157623

Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study: A multi-scanner phantom study

Autori: Mojtaba Shamsaei Zafarghandi Niki Oveisi Hossein Arabi a ďalší

Zdroj: Journal of Nuclear Cardiology, Vol. 28, No 6 (2021) pp. 2730-2744
Edalat-Javid, M, Shiri, I, Hajianfar, G, Abdollahi, H, Arabi, H, Oveisi, N, Javadian, M, Shamsaei Zafarghandi, M, Malek, H, Bitarafan-Rajabi, A, Oveisi, M & Zaidi, H 2021, ' Cardiac SPECT radiomic features repeatability and reproducibility : A multi-scanner phantom study ', Journal of Nuclear Cardiology, vol. 28, no. 6, pp. 2730-2744 . https://doi.org/10.1007/s12350-020-02109-0

Predmety: CORONARY-ARTERY CALCIFICATION, 616.8, Single Photon Emission Computed Tomography Computed Tomography, IMPACT, FOS: Physical sciences, ddc:616.0757, DISEASE, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, FOS: Electrical engineering, electronic engineering, information engineering, Humans, Repeatability, cardiovascular imaging, repeatability, reproducibility, RISK, Tomography, Emission-Computed, Single-Photon, Radiomics, 616.0757, Phantoms, Imaging, Image and Video Processing (eess.IV), Reproducibility of Results, SPECT/CT, Electrical Engineering and Systems Science - Image and Video Processing, Physics - Medical Physics, Reproducibility, ddc:616.8, Cardiac Imaging Techniques, Cardiovascular imaging, radiomics, SPECT, QUANTITATIVE SPECT, IMAGE-RECONSTRUCTION SETTINGS, Medical Physics (physics.med-ph), CT

Popis súboru: application/pdf

Prístupová URL adresa: https://pure.rug.nl/ws/files/202205116/Edalat_Javid2021_Article_CardiacSPECTRadiomicFeaturesRe.pdf
https://pubmed.ncbi.nlm.nih.gov/32333282
http://arxiv.org/abs/1909.04922
https://hdl.handle.net/11370/36f4cb83-47fd-4293-955c-302528f7be53
https://doi.org/10.1007/s12350-020-02109-0
https://research.rug.nl/en/publications/36f4cb83-47fd-4293-955c-302528f7be53
https://arxiv.org/abs/1909.04922
https://arxiv.org/pdf/1909.04922.pdf
https://link.springer.com/article/10.1007/s12350-020-02109-0
https://www.ncbi.nlm.nih.gov/pubmed/32333282
https://www.narcis.nl/publication/RecordID/oai%3Apure.rug.nl%3Apublications%2F36f4cb83-47fd-4293-955c-302528f7be53
http://ui.adsabs.harvard.edu/abs/2019arXiv190904922E/abstract
https://pubmed.ncbi.nlm.nih.gov/32333282/
https://archive-ouverte.unige.ch/unige:136990
https://archive-ouverte.unige.ch/unige:136990
https://doi.org/10.1007/s12350-020-02109-0
https://archive-ouverte.unige.ch/unige:136990
http://arxiv.org/pdf/1909.04922
https://portal.findresearcher.sdu.dk/da/publications/e1c7715e-d27f-4ae0-91ab-99c7bc3684b4
https://doi.org/10.1007/s12350-020-02109-0

Corticostriatal Activity Driving Compulsive Reward Seeking

Autori: Christian Lüscher Agnès Hiver Jérôme Flakowski a ďalší

Zdroj: Biological psychiatry, Vol. 90, No 12 (2021) pp. 808-818

Predmety: 0301 basic medicine, 0303 health sciences, 616.8, Neuronal activity, Plasticity, Dopamine, Dopaminergic Neurons, Prefrontal Cortex, Compulsivity, ddc:616.8, Striatum, Mice, 03 medical and health sciences, Punishment, Reward, Orbitofrontal cortex, Compulsive Behavior, Animals

Popis súboru: application/pdf

Prístupová URL adresa: http://www.biologicalpsychiatryjournal.com/article/S0006322321015638/pdf
https://pubmed.ncbi.nlm.nih.gov/34688471
https://www.sciencedirect.com/science/article/abs/pii/S0006322321015638
https://archive-ouverte.unige.ch/unige:154020
https://europepmc.org/article/PPR/PPR94457
https://archive-ouverte.unige.ch/unige:154020/ATTACHMENT01
https://pubmed.ncbi.nlm.nih.gov/34688471/
https://www.sciencedirect.com/science/article/pii/S0006322321015638
https://archive-ouverte.unige.ch/unige:158152
https://doi.org/10.1016/j.biopsych.2021.08.018
https://archive-ouverte.unige.ch/unige:158152

Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks

Autori: Hossein Arabi Mohammad Reza Ay Habib Zaidi a ďalší

Zdroj: Journal of Nuclear Cardiology, Vol. 28, No 6 (2021) pp. 2761-2779
Shiri, I, AmirMozafari Sabet, K, Arabi, H, Pourkeshavarz, M, Teimourian, B, Ay, M R & Zaidi, H 2021, ' Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks ', Journal of Nuclear Cardiology, vol. 28, no. 6, pp. 2761–2779 . https://doi.org/10.1007/s12350-020-02119-y

Predmety: Tomography, Emission-Computed, Single-Photon, 616.8, Time Factors, 616.0757, Myocardial Perfusion Imaging, deep learning, myocardial perfusion imaging, ddc:616.0757, ddc:616.8, short acquisition, Cardiac Imaging Techniques, 03 medical and health sciences, PET, 0302 clinical medicine, SPECT, Coronary Circulation, Feasibility Studies, Humans, Neural Networks, Computer, Prospective Studies

Popis súboru: application/pdf

Prístupová URL adresa: https://pure.rug.nl/ws/files/202806000/Shiri2021_Article_StandardSPECTMyocardialPerfusi.pdf
https://pubmed.ncbi.nlm.nih.gov/32347527
https://research.rug.nl/en/publications/3e84eb07-c8b1-4d44-a0ec-e873754bf752
https://doi.org/10.1007/s12350-020-02119-y
https://hdl.handle.net/11370/3e84eb07-c8b1-4d44-a0ec-e873754bf752
https://link.springer.com/content/pdf/10.1007/s12350-020-02119-y.pdf
https://link.springer.com/article/10.1007/s12350-020-02119-y
https://archive-ouverte.unige.ch/unige:136987
https://www.narcis.nl/publication/RecordID/oai%3Apure.rug.nl%3Apublications%2F3e84eb07-c8b1-4d44-a0ec-e873754bf752
https://research.rug.nl/en/publications/standard-spect-myocardial-perfusion-estimation-from-half-time-acq
https://www.ncbi.nlm.nih.gov/pubmed/32347527
https://archive-ouverte.unige.ch/unige:136987
https://doi.org/10.1007/s12350-020-02119-y
https://archive-ouverte.unige.ch/unige:136987
https://portal.findresearcher.sdu.dk/da/publications/287cee84-b96f-40d3-aa2a-1c0064ce56f8

Deep learning–based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance: quantitative assessment and clinical performance

Autori: Aghakhan Olia, Narges Kamali-Asl, Alireza Hariri Tabrizi, Sanaz a ďalší

Zdroj: Eur J Nucl Med Mol Imaging
European journal of nuclear medicine and molecular imaging, Vol. 49, No 5 (2022) pp. 1508-1522
Aghakhan Olia, N, Kamali-Asl, A, Hariri Tabrizi, S, Geramifar, P, Sheikhzadeh, P, Farzanefar, S, Arabi, H & Zaidi, H 2022, ' Deep learning–based denoising of low-dose SPECT myocardial perfusion images : quantitative assessment and clinical performance ', European Journal of Nuclear Medicine and Molecular Imaging, vol. 49, no. 5, pp. 1508-1522 . https://doi.org/10.1007/s00259-021-05614-7

Predmety: Tomography, Emission-Computed, Single-Photon, Denoising, 616.8, 616.0757, Myocardial perfusion imaging, Low-dose, Deep learning, Signal-To-Noise Ratio, ddc:616.0757, ddc:616.8, 3. Good health, Perfusion, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, SPECT, Image Processing, Computer-Assisted, Humans, Original Article, Retrospective Studies

Popis súboru: application/pdf

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1007/s00259-021-05614-7.pdf
https://pubmed.ncbi.nlm.nih.gov/34778929
https://link.springer.com/article/10.1007/s00259-021-05614-7
https://pubmed.ncbi.nlm.nih.gov/34778929/
https://link.springer.com/content/pdf/10.1007/s00259-021-05614-7.pdf
https://archive-ouverte.unige.ch/unige:158881
https://archive-ouverte.unige.ch/unige:158881
https://doi.org/10.1007/s00259-021-05614-7
https://findresearcher.sdu.dk:8443/ws/files/195096404/AghakhanOlia2021_Article_DeepLearningBasedDenoisingOfLo.pdf