نتائج البحث - "Magnetic resonance imaging (MRI)"

1

Comparison of X-ray computed tomography and magnetic resonance imaging to detect pest-infested fruits: A pilot study

المؤلفون: Sung-Joon Ye, Byung Gun Park, Deuk Soo Choi, Taeyun Kim, Gwang Min Sun, Hae Jun Park, Jaegi Lee

المصدر: Nuclear Engineering and Technology, Vol 54, Iss 2, Pp 514-522 (2022)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c59a33c9caf59a89a7af19839448426Test
http://www.sciencedirect.com/science/article/pii/S1738573321004186Test

2

ECCO-ESGAR Topical Review on Optimizing Reporting for Cross-Sectional Imaging in Inflammatory Bowel Disease

المؤلفون: Jeroen A. W. Tielbeek, Robert V Bryant, Christian Maaser, Stuart A. Taylor, Rune Wilkens, Kerri L. Novak, Torsten Kucharzik, Christine Hoeffel, Antonino Spinelli, Giovanni Maconi, Isabelle De Kock, Damian Tolan, Martina Scharitzer, Søren Rafael Rafaelsen, Jordi Rimola, Dan Carter

المصدر: Kucharzik, T, Tielbeek, J, Carter, D, Taylor, S A, Tolan, D, Wilkens, R, Bryant, R V, Hoeffel, C, De Kock, I, Maaser, C, Maconi, G, Novak, K, Rafaelsen, S R, Scharitzer, M, Spinelli, A & Rimola, J 2022, ' ECCO-ESGAR Topical Review on Optimizing Reporting for Cross-Sectional Imaging in Inflammatory Bowel Disease ', Journal of Crohn's and Colitis, vol. 16, no. 4, pp. 523-543 . https://doi.org/10.1093/ecco-jcc/jjab180Test

مصطلحات موضوعية: medicine.medical_specialty, Consensus, Delphi method, Cross-sectional imaging, Settore MED/36 - Diagnostica per Immagini e Radioterapia, Transperineal ultrasonography, Endoanal ultrasonography, Humans, transperineal ultrasonography [PUS, Medicine, Medical physics, Ultrasonography, reporting, Settore MED/12 - Gastroenterologia, medicine.diagnostic_test, business.industry, Gastroenterologists, Gastroenterology, Magnetic resonance imaging, Ultrasonography/methods, intestinal ultrasound [IUS], General Medicine, Inflammatory Bowel Diseases, Inflammatory Bowel Diseases/complications, Magnetic Resonance Imaging, 3. Good health, Intestines, Topical review, Settore MED/18 - Chirurgia Generale, Inflammatory bowel disease [IBD], cross-sectional imaging, endoanal ultrasonography [EAUS], magnetic resonance imaging [MRI], Chronic Disease, Systematic review, Current practice, Intestines/pathology, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2cf5e547f45f8e008b6cc0758cc6468Test
https://doi.org/10.1093/ecco-jcc/jjab180Test

3

Development of brain tumor segmentation of magnetic resonance imaging (MRI) using U-Net deep learning

المؤلفون: Wasan M. Jwaid, Zainab Shaker Matar Al-Husseini, Ahmad H. Sabry

المصدر: Eastern-European Journal of Enterprise Technologies, Vol 4, Iss 9(112), Pp 23-31 (2021)
Eastern-European Journal of Enterprise Technologies; Vol. 4 No. 9(112) (2021): Information and controlling system; 23-31
Eastern-European Journal of Enterprise Technologies; Том 4 № 9(112) (2021): Информационно-управляющие системы; 23-31
Eastern-European Journal of Enterprise Technologies; Том 4 № 9(112) (2021): Інформаційно-керуючі системи; 23-31

مصطلحات موضوعية: 3d u-net architecture, Computer science, згорткова нейронна мережа (ЗНМ), сегментації, опухоли головного мозга, магнітно-резонансна томографія (МРТ), сегментации, Brain tumor, Energy Engineering and Power Technology, Fluid-attenuated inversion recovery, глибоке навчання, Convolutional neural network, convolutional neural network (cnn), Industrial and Manufacturing Engineering, segmentations, Upsampling, архитектура 3D U-Net, сверточная нейронная сеть (СНС), Management of Technology and Innovation, Encoding (memory), medicine, T1-995, Industry, Segmentation, пухлини головного мозку, Electrical and Electronic Engineering, Technology (General), medicine.diagnostic_test, магнитно-резонансная томография (МРТ), business.industry, Applied Mathematics, Mechanical Engineering, Deep learning, deep learning, Magnetic resonance imaging, Pattern recognition, HD2321-4730.9, medicine.disease, архітектура 3D U-Net, Computer Science Applications, magnetic resonance imaging (mri), Control and Systems Engineering, brain tumors, Artificial intelligence, глубокое обучение, business

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4969880846460de98127390f799309bTest
https://doi.org/10.15587/1729-4061.2021.238957Test

4

Assessment of the genetic contribution to brain magnetic resonance imaging lesion load and atrophy measures in multiple sclerosis patients

المؤلفون: Laura Ferrè, Maria A. Rocca, Federica Esposito, Ermelinda De Meo, Melissa Sorosina, Filippo Martinelli Boneschi, Silvia Santoro, Massimo Filippi, Ferdinando Clarelli

المساهمون: Clarelli, Ferdinando, Rocca, Maria Assunta, Santoro, Silvia, De Meo, Ermelinda, Ferrè, Laura, Sorosina, Melissa, Martinelli Boneschi, Filippo, Esposito, Federica, Filippi, Massimo

المصدر: European Journal of Neurology. 28:2513-2522

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ffb6843a6c380c5cf9df9d045f38077Test
https://doi.org/10.1111/ene.14872Test

5

Role of magnetic resonance imaging in ankle sprains

المؤلفون: Nawroz Dhahr Othman, Salwa A. Al-Najjar

المصدر: Zanco Journal of Medical Sciences, Vol 25, Iss 1, Pp 438-445 (2021)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099543ebdea83df68ebf1349f8aa1dceTest
https://doi.org/10.15218/zjms.2021.005Test

6

Magnetic resonance tomography capabilities and limitations in managing the efficacy of treatment with biological disease modifying anti-rheumatic drugs in ankylosing spondylitis

المؤلفون: P. A. Shesternya, O. D. Gritsenko, P. A. Astanin, A. Yu. Stepanenko, N. V. Popov

المصدر: Современная ревматология, Vol 15, Iss 2, Pp 29-34 (2021)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b8e6d82ee666ea2b0b69f1e64c22cd3Test
https://mrj.ima-press.net/mrj/article/view/1119Test

7

Angioleiomyoma of the sacrum: a case report and literature review of similar sacral lesions

المؤلفون: Luping Liu, Xianchen Zhang

المصدر: Radiology Case Reports
Radiology Case Reports, Vol 16, Iss 6, Pp 1428-1432 (2021)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceb6c7605f6888a79af92614a1f508f0Test
http://europepmc.org/articles/PMC8063708Test

8

Parallel magnetic resonance imaging acceleration with a hybrid sensing approach

المؤلفون: Anh Quang Tran, Duc-Tan Tran, Tien Anh Nguyen, Phuc Thinh Doan, Duc-Nghia Tran

المصدر: Mathematical Biosciences and Engineering, Vol 18, Iss 3, Pp 2288-2302 (2021)

مصطلحات موضوعية: Computer science, Image quality, Acceleration, 02 engineering and technology, Iterative reconstruction, Signal-To-Noise Ratio, parallel magnetic resonance imaging (pmri), Sampling (signal processing), 0502 economics and business, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, medicine, QA1-939, Humans, Computer vision, medicine.diagnostic_test, business.industry, k-space, Applied Mathematics, 05 social sciences, Magnetic resonance imaging, General Medicine, Magnetic Resonance Imaging, random under-sampling, Nonlinear conjugate gradient method, compressed sensing (cs), Computational Mathematics, magnetic resonance imaging (mri), Compressed sensing, Modeling and Simulation, 020201 artificial intelligence & image processing, Artificial intelligence, General Agricultural and Biological Sciences, business, Algorithms, 050203 business & management, TP248.13-248.65, Mathematics, Biotechnology

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a73806eeefe9d1498c3bc4c148d6c04Test
http://www.aimspress.com/article/doi/10.3934/mbe.2021116?viewType=HTMLTest

9

Diagnostic performance of sacroiliac joint MRI and added value of spine MRI to detect active spondyloarthritis

المؤلفون: Patrick Durez, Frédéric Lecouvet, A. Nzeusseu Toukap, Thomas Kirchgesner, Maria Stoenoiu, Bernard Lauwerys, M. Plier, Nicolas Michoux

المساهمون: UCL - SSS/IREC/RUMA - Pôle de Pathologies rhumatismales, UCL - SSS/IREC/IMAG - Pôle d'imagerie médicale, UCL - (SLuc) Service de radiologie, UCL - (SLuc) Service de rhumatologie, UCL - (SLuc) Centre du cancer

المصدر: Diagnostic and interventional imaging, Vol. 102, no. 3, p. 171-180 (2021)

مصطلحات موضوعية: Adult, Male, medicine.medical_specialty, Severity of Illness Index, 030218 nuclear medicine & medical imaging, Disease activity, 03 medical and health sciences, 0302 clinical medicine, Lumbar, Spondylarthritis, medicine, Humans, Spondylitis, Ankylosing, Radiology, Nuclear Medicine and imaging, Axial spondyloarthritis, Magnetic resonance imaging (MRI), Sacroiliac joint, Ankylosing spondylitis, Radiological and Ultrasound Technology, Receiver operating characteristic, medicine.diagnostic_test, business.industry, Sacro-iliac joint, Sacroiliac Joint, Magnetic resonance imaging, General Medicine, medicine.disease, Magnetic Resonance Imaging, Spine, Cross-Sectional Studies, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Radiological weapon, Female, Radiology, business

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b6ed24c18d1e33d3009a8ac583c971cTest
https://doi.org/10.1016/j.diii.2020.07.001Test

10

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation

المؤلفون: Chengjia Wang, David E Newby, Giorgos Papanastasiou, Sotirios A. Tsaftaris, Rohan Dharmakumar, Scott Semple, Agisilaos Chartsias

المصدر: Chartsias, A, Papanastasiou, G, Wang, C, Semple, S, Newby, D, Dharmakumar, R & Tsaftaris, S A 2020, ' Disentangle, align and fuse for multimodal and semi-supervised image segmentation ', IEEE Transactions on Medical Imaging, pp. 1-10 . https://doi.org/10.1109/TMI.2020.3036584Test
IEEE Trans Med Imaging

مصطلحات موضوعية: FOS: Computer and information sciences, magnetic resonance imaging (MRI), Computer science, Computer Vision and Pattern Recognition (cs.CV), Decoding, Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Iterative reconstruction, Image Segmentation, Article, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Biomedical imaging, SEMANTICS, Annotations, Image Processing, Computer-Assisted, Medical imaging, medicine, Training, Multimodal segmentation, Segmentation, Electrical and Electronic Engineering, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Disentanglement, Heart, Pattern recognition, Magnetic resonance imaging, Image segmentation, Magnetic Resonance Imaging, Computer Science Applications, Supervised Machine Learning, Artificial intelligence, business, Software, Decoding methods

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318d201f49cc39793901c0af8618e2abTest
https://doi.org/10.1109/tmi.2020.3036584Test

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