المؤلفون: Ru, Xudong, Zhao, Haichuan, Wang, Xingce, Wu, Zhongke, Liu, Shaolong, Zhu, Yi Cheng, Frangi, Alejandro F.

المصدر: Ru , X , Zhao , H , Wang , X , Wu , Z , Liu , S , Zhu , Y C & Frangi , A F 2024 , Vector-Aware Anisotropic Gauge Equivariant Mesh Convolution Network for 3D Aneurysm Detection . in ICMR 2024 - Proceedings of the 2024 International Conference on Multimedia Retrieval . ICMR 2024 - Proceedings of the 2024 International Conference on Multimedia Retrieval , Association for Computing Machinery , pp. 248-256 , 2024 International Conference on Multimedia Retrieval, ICMR 2024 , Phuket , Thailand , 10/06/24 . https://doi.org/10.1145/3652583.3658072

مصطلحات موضوعية: 3D mesh segmentation, gauge equivariant convolution, intracranial aneurysm detection, vector neural network

Relation: https://research.manchester.ac.uk/en/publications/793e8fed-08f1-4523-bb42-31fccaf2aa8a; urn:ISBN:9798400706028

الاتاحة: https://research.manchester.ac.uk/en/publications/793e8fed-08f1-4523-bb42-31fccaf2aa8a
https://doi.org/10.1145/3652583.3658072
http://www.scopus.com/inward/record.url?scp=85199129021&partnerID=8YFLogxK

المؤلفون: Di Noto, T., Marie, G., Tourbier, S., Alemán-Gómez, Y., Esteban, O., Saliou, G., Cuadra, M.B., Hagmann, P., Richiardi, J.

المصدر: Neuroinformatics, vol. 21, no. 1, pp. 21-34

مصطلحات موضوعية: Female, Humans, Intracranial Aneurysm/diagnostic imaging, Intracranial Aneurysm/pathology, Magnetic Resonance Angiography/methods, Sensitivity and Specificity, Aneurysm detection, Deep learning, Domain knowledge, Magnetic resonance angiography, Model robustness, Weak annotation

وصف الملف: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/pmid/35982364; info:eu-repo/semantics/altIdentifier/eissn/1559-0089; info:eu-repo/grantAgreement/SNF//185872///; info:eu-repo/grantAgreement/SNF//170873///; info:eu-repo/grantAgreement/SNF//185897///; info:eu-repo/grantAgreement/UNIL/////; info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_B6A1DE874D8B0; https://serval.unil.ch/notice/serval:BIB_B6A1DE874D8B; https://serval.unil.ch/resource/serval:BIB_B6A1DE874D8B.P001/REF.pdf

الاتاحة: https://serval.unil.ch/notice/serval:BIB_B6A1DE874D8B
https://doi.org/10.1007/s12021-022-09597-0
https://serval.unil.ch/resource/serval:BIB_B6A1DE874D8B.P001/REF.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_B6A1DE874D8B0

المؤلفون: Zhou, Jinfan, Muirhead, William, Williams, Simon C, Stoyanov, Danail, Marcus, Hani J, Mazomenos, Evangelos B

المصدر: International Journal of Computer Assisted Radiology and Surgery (2023) (In press).

مصطلحات موضوعية: Surgical scene understanding, Surgical data science, Microsurgical Aneurysm Clipping, Cerebral Aneurysm Detection.

وصف الملف: text

Relation: https://discovery.ucl.ac.uk/id/eprint/10167678/1/s11548-023-02871-9.pdf; https://discovery.ucl.ac.uk/id/eprint/10167678/

الاتاحة: https://discovery.ucl.ac.uk/id/eprint/10167678/1/s11548-023-02871-9.pdf
https://discovery.ucl.ac.uk/id/eprint/10167678/

المؤلفون: Žiga Bizjak, Žiga Špiclin

المصدر: Biomedicines, Vol 11, Iss 11, p 2921 (2023)

مصطلحات موضوعية: computed tomography angiography, CTA, aneurysm detection, meta-analysis, PRISMA, QUADAS-2, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2227-9059/11/11/2921; https://doaj.org/toc/2227-9059

URL الوصول: https://doaj.org/article/326696d0754d4a3d859a278a8f8629d9

المؤلفون: Tao Hu, Heng Yang, Wei Ni, Yu Lei, Zhuoyun Jiang, Keke Shi, Jinhua Yu, Yuxiang Gu, Yuanyuan Wang

المصدر: BioMedical Engineering OnLine, Vol 19, Iss 1, Pp 1-18 (2020)

مصطلحات موضوعية: Aneurysm detection, Multiscale filter, Bayesian optimization, Adaptive thresholding, Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s12938-020-00817-9; https://doaj.org/toc/1475-925X

URL الوصول: https://doaj.org/article/5a48bc622def439ab0ab34d5d54db5fe

المؤلفون: Di Shao, Xiao Liu, Imran Razzak, Nilmini Wickramasinghe, Xuequan Lu

مصطلحات موضوعية: Information and computing sciences, Graphics, augmented reality and games, 3D Intracranial Aneurysm Detection, Medical Point Cloud, Self-supervised Learning

Relation: http://hdl.handle.net/10779/DRO/DU:27644676.v1

الاتاحة: http://hdl.handle.net/10779/DRO/DU:27644676.v1
https://figshare.com/articles/conference_contribution/Contrastive_Learning_with_Self-reconstruction_for_3D_Intracranial_Aneurysm_Detection/27644676

المؤلفون: Elif Can, Pimrapat Gebert, Elisa Birgit Sodemann, Johannes Kolck, Thula Canon Walter-Rittel, Anna Maaßen, Christopher Güttler, Juliane Stöckel, Georg Bohner, Georg Böning

المصدر: Diagnostics; Volume 12; Issue 10; Pages: 2461

مصطلحات موضوعية: telemedicine, teleradiology, diagnostic performance, intracranial arterial aneurysm detection

وصف الملف: application/pdf

Relation: Point-of-Care Diagnostics and Devices; https://dx.doi.org/10.3390/diagnostics12102461

الاتاحة: https://doi.org/10.3390/diagnostics12102461

المؤلفون: Assis, Youssef, Liao, Liang, Pierre, Fabien, Anxionnat, René, Kerrien, Erwan

المساهمون: Recalage visuel avec des modèles physiquement réalistes (TANGRAM), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Département de neuroradiologie diagnostique et thérapeutique CHRU Nancy, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Centre National de la Recherche Scientifique CNRS

المصدر: ORASIS 2021 - 18èmes journées francophones des jeunes chercheurs en vision par ordinateur ; https://hal.science/hal-03339672 ; ORASIS 2021 - 18èmes journées francophones des jeunes chercheurs en vision par ordinateur, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France

مصطلحات موضوعية: CNN, data sampling, Brain aneurysm detection, échantillonnage de données, Détection des anévrismes cérébraux, [INFO]Computer Science [cs], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]

جغرافية الموضوع: Saint Ferréol, France

Relation: hal-03339672; https://hal.science/hal-03339672; https://hal.science/hal-03339672v2/document; https://hal.science/hal-03339672v2/file/ORASIS21.pdf

الاتاحة: https://hal.science/hal-03339672
https://hal.science/hal-03339672v2/document
https://hal.science/hal-03339672v2/file/ORASIS21.pdf

المؤلفون: Assis, Youssef, Liao, Liang, Pierre, Fabien, Anxionnat, René, Kerrien, Erwan

المساهمون: Recalage visuel avec des modèles physiquement réalistes (TANGRAM), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Département de neuroradiologie diagnostique et thérapeutique CHRU Nancy, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Région Grand-Est, FranceCHRU Nancy, France

المصدر: DALI 2021 - MICCAI workshop on Data Augmentation, Labeling, and Imperfections ; https://hal.univ-lorraine.fr/hal-03391884 ; DALI 2021 - MICCAI workshop on Data Augmentation, Labeling, and Imperfections, Sep 2021, Strasbourg, France. pp.226-234, ⟨10.1007/978-3-030-88210-5_22⟩ ; https://link.springer.com/chapter/10.1007/978-3-030-88210-5_22

مصطلحات موضوعية: Brain aneurysm detection, data sampling, CNN, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]

جغرافية الموضوع: Strasbourg, France

الاتاحة: https://hal.univ-lorraine.fr/hal-03391884
https://hal.univ-lorraine.fr/hal-03391884v1/document
https://hal.univ-lorraine.fr/hal-03391884v1/file/DALI_MICCAI21.pdf
https://doi.org/10.1007/978-3-030-88210-5_22

المؤلفون: Sobisch, Jannik

Thesis Advisors: Hochschule für Technik, Wirtschaft und Kultur

مصطلحات موضوعية: Cerebral angiograms, Intracranial aneurysms, Aneurysm detection, Aneurysm rupture prediction, Point cloud representation learning

الاتاحة: https://htwk-leipzig.qucosa.de/id/qucosa%3A87207
https://htwk-leipzig.qucosa.de/api/qucosa%3A87207/attachment/ATT-0/

المؤلفون: Tommaso Di Noto, Guillaume Marie, Sebastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi

المصدر: Neuroinformatics, vol. 21, no. 1, pp. 21-34

مصطلحات موضوعية: FOS: Computer and information sciences, General Neuroscience, Computer Vision and Pattern Recognition (cs.CV), Image and Video Processing (eess.IV), FOS: Electrical engineering, electronic engineering, information engineering, cardiovascular system, Computer Science - Computer Vision and Pattern Recognition, cardiovascular diseases, Electrical Engineering and Systems Science - Image and Video Processing, Software, Information Systems, Female, Humans, Intracranial Aneurysm/diagnostic imaging, Intracranial Aneurysm/pathology, Magnetic Resonance Angiography/methods, Sensitivity and Specificity, Aneurysm detection, Deep learning, Domain knowledge, Magnetic resonance angiography, Model robustness, Weak annotation

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::858184ded61089bda9087b5a3d987cb2
https://serval.unil.ch/notice/serval:BIB_B6A1DE874D8B

المؤلفون: KRIŽAJ, DAVID

المساهمون: Špiclin, Žiga

مصطلحات موضوعية: aneurysm detection, computer vision, convolutional neural networks, generative adversarial networks, dataset augmentation, detekcija anevrizem, strojni vid, konvolucijske nevronske mreže, generativne nasprotniške mreže, bogatenje učne množice

وصف الملف: application/pdf

Relation: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=144387; https://repozitorij.uni-lj.si/Dokument.php?id=166682&dn=; https://plus.cobiss.net/cobiss/si/sl/bib/142485251; http://hdl.handle.net/20.500.12556/RUL-144387

الاتاحة: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=144387
https://repozitorij.uni-lj.si/Dokument.php?id=166682&dn=
https://plus.cobiss.net/cobiss/si/sl/bib/142485251
https://hdl.handle.net/20.500.12556/RUL-144387

المؤلفون: Momeni, Saba, Sarrafzadeh, Omid, Rabbani, Hossein

مصطلحات موضوعية: Biomedical imaging, Science & Technology, Life Sciences & Biomedicine, Radiology, Nuclear Medicine & Medical Imaging, Brain aneurysm detection, aneurysm segmentation

Relation: Current Medical Imaging; Momeni, S; Sarrafzadeh, O; Rabbani, H, Automatic Brain Aneurysm Extraction in Angiography Videos using Circlet Transform and a Modified Level Set Model, Current Medical Imaging, 2018, 14 (6), pp. 923-932; http://hdl.handle.net/10072/391535

الاتاحة: http://hdl.handle.net/10072/391535
https://doi.org/10.2174/1573405613666170607152436

المؤلفون: KOS, ERAZEM

المساهمون: Špiclin, Žiga

مصطلحات موضوعية: globoko učenje, graphical user interface for 2D and 3D image visualization, deep learning, ročna referenčna razgradnja, analiza morfologije, grafični vmesnik za prikaz 2D in 3D slik, 3D rendering, manual reference segmentation, avtomatsko zaznavanje anevrizem, razgradnja intrakranialnega ožilja, automatic aneurysm detection, intracranial vessel segmentation, objektivno vrednotenje, 3D upodabljanje, objective evaluation, analysis of morphology

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3505::fd47a343151866e3e3f9d1c2b30d0a65
https://repozitorij.uni-lj.si/Dokument.php?id=157956&dn=

المؤلفون: Sazonov, I, Khir, AW, Hacham, WS, Boileau, E, Carson, JM, van Loon, R, Ferguson, C, Nithiarasu, P

مصطلحات موضوعية: aneurysm detection, experimental models, numerical models, one-dimensional modelling, systemic circulation, waveforms

وصف الملف: Print-Electronic

Relation: Biomechanics and Modeling in Mechanobiology; Sazonov, I., Khir, A.W., Hacham, W.S.and . (2017) 'A novel method for non-invasively detecting the severity and location of aortic aneurysms', Biomechanics and Modeling Mechanobiology, 16(4), pp. 1225–1242. doi:10.1007/s10237-017-0884-8.; https://bura.brunel.ac.uk/handle/2438/14090; https://doi.org/10.1007/s10237-017-0884-8

الاتاحة: https://bura.brunel.ac.uk/handle/2438/14090
https://doi.org/10.1007/s10237-017-0884-8

المؤلفون: Igor Sazonov, Neeraj Kavan Chakshu, Perumal Nithiarasu

المصدر: Biomechanics and Modeling in Mechanobiology

مصطلحات موضوعية: Adult, Male, Computer science, 0206 medical engineering, Inverse analysis, Systemic circulation, Aneurysm detection, Blood Pressure, 02 engineering and technology, 030204 cardiovascular system & hematology, computer.software_genre, 03 medical and health sciences, 0302 clinical medicine, Virtual patient, medicine, Humans, Aorta, Abdominal, Neurons, Original Paper, Artificial neural network, business.industry, Mechanical Engineering, Deep learning, Hemodynamics, Models, Cardiovascular, Blood flow, Middle Aged, medicine.disease, 020601 biomedical engineering, Abdominal aortic aneurysm, Nonlinear system, Blood pressure, Recurrent neural network, Databases as Topic, Modeling and Simulation, Blood Circulation, Neural Networks, Computer, Artificial intelligence, Data mining, business, computer, Blood Flow Velocity, Digital twin technology, Aortic Aneurysm, Abdominal, Biotechnology

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da3a145e396fea3c6fcc8ede92193a86
https://doi.org/10.1007/s10237-020-01393-6

المؤلفون: Can, Elif, Gebert, Pimrapat, Sodemann, Elisa Birgit, Kolck, Johannes, Walter-Rittel, Thula Canon, Maaßen, Anna, Güttler, Christopher, Stöckel, Juliane, Bohner, Georg, Böning, Georg

مصطلحات موضوعية: teleradiology, diagnostic performance, telemedicine, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit, intracranial arterial aneurysm detection

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::473c1f5fbef4f926af1a0ac489561105

المؤلفون: KOS, ERAZEM

المساهمون: Špiclin, Žiga

مصطلحات موضوعية: razgradnja intrakranialnega ožilja, avtomatsko zaznavanje anevrizem, globoko učenje, ročna referenčna razgradnja, objektivno vrednotenje, grafični vmesnik za prikaz 2D in 3D slik, 3D upodabljanje, analiza morfologije, intracranial vessel segmentation, automatic aneurysm detection, deep learning, manual reference segmentation, objective evaluation, graphical user interface for 2D and 3D image visualization, 3D rendering, analysis of morphology

وصف الملف: application/pdf

Relation: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=137853; https://repozitorij.uni-lj.si/Dokument.php?id=157956&dn=; https://plus.cobiss.net/cobiss/si/sl/bib/113809155; http://hdl.handle.net/20.500.12556/RUL-137853

الاتاحة: https://repozitorij.uni-lj.si/IzpisGradiva.php?id=137853
https://repozitorij.uni-lj.si/Dokument.php?id=157956&dn=
https://plus.cobiss.net/cobiss/si/sl/bib/113809155
https://hdl.handle.net/20.500.12556/RUL-137853

المؤلفون: Youssef Assis, Fabien Pierre, Erwan Kerrien, René Anxionnat, Liang Liao

المساهمون: Recalage visuel avec des modèles physiquement réalistes (TANGRAM), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Department of Algorithms, Computation, Image and Geometry (LORIA - ALGO), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Région Grand-Est, FranceCHRU Nancy, France, Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), ASSIS, Youssef

المصدر: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
The MICCAI workshop on Data Augmentation, Labeling, and Imperfections
The MICCAI workshop on Data Augmentation, Labeling, and Imperfections, Oct 2021, Strasbourg, France. pp.226-234, ⟨10.1007/978-3-030-88210-5_22⟩
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections ISBN: 9783030882099
DGM4MICCAI/DALI@MICCAI
DALI 2021-MICCAI workshop on Data Augmentation, Labeling, and Imperfections
DALI 2021-MICCAI workshop on Data Augmentation, Labeling, and Imperfections, Sep 2021, Strasbourg, France. pp.226-234, ⟨10.1007/978-3-030-88210-5_22⟩

مصطلحات موضوعية: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, Computer science, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Convolutional neural network, Magnetic resonance angiography, 030218 nuclear medicine & medical imaging, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, 0302 clinical medicine, Aneurysm, Cohen's kappa, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, medicine.diagnostic_test, business.industry, Deep learning, Pattern recognition, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], medicine.disease, Data set, Cross entropy, data sampling, Metric (mathematics), Artificial intelligence, Brain aneurysm detection, business, 030217 neurology & neurosurgery, CNN

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c9efab8bb2d66439bbcb095cf9fbb1
https://hal.univ-lorraine.fr/hal-03391884/document

المؤلفون: Jinhua Yu, Yu Lei, Yuxiang Gu, Keke Shi, Yuanyuan Wang, Wei Ni, Heng Yang, Tao Hu, Zhuoyun Jiang

المصدر: BioMedical Engineering
BioMedical Engineering OnLine, Vol 19, Iss 1, Pp 1-18 (2020)

مصطلحات موضوعية: Hessian matrix, lcsh:Medical technology, Subarachnoid hemorrhage, Adaptive thresholding, Computer science, Aneurysm detection, Biomedical Engineering, 030218 nuclear medicine & medical imaging, Biomaterials, 03 medical and health sciences, symbols.namesake, Automation, 0302 clinical medicine, Aneurysm, Imaging, Three-Dimensional, medicine, Humans, Radiology, Nuclear Medicine and imaging, cardiovascular diseases, Bayesian optimization, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Research, Angiography, Digital Subtraction, Multiscale filter, Pattern recognition, Bayes Theorem, Intracranial Aneurysm, General Medicine, Gold standard (test), Digital subtraction angiography, Filter (signal processing), medicine.disease, Thresholding, lcsh:R855-855.5, symbols, Artificial intelligence, business, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5a42bc18246db899f1463f96051997c
https://pubmed.ncbi.nlm.nih.gov/32933534