Zobrazeno 1 - 10 of 30 pro vyhledávání: '"Sergi Pujades"'
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Akademický článek
Multi-Modal Data Correspondence for the 4D Analysis of the Spine with Adolescent Idiopathic Scoliosis
Autor: Nicolas Comte, Sergi Pujades, Aurélien Courvoisier, Olivier Daniel, Jean-Sébastien Franco, François Faure, Edmond Boyer
Publikováno v: Bioengineering, Vol 10, Iss 7, p 874 (2023)
Adolescent idiopathic scoliosis is a three-dimensional spinal deformity that evolves during adolescence. Combined with static 3D X-ray acquisitions, novel approaches using motion capture allow for the analysis of the patient dynamics. However, as of
Externí odkaz: https://doaj.org/article/f3105314990a484381115bc13cb59c3e
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Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle
Autor: Di Meng, Edmond Boyer, Sergi Pujades
Publikováno v: Computerized Medical Imaging and Graphics. 107:102235
Vertebrae localization, segmentation and identification in CT images is key to numerous clinical applications. While deep learning strategies have brought to this field significant improvements over recent years, transitional and pathological vertebr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a5f2ced500005308f37507a4b58de82
https://doi.org/10.1016/j.compmedimag.2023.102235
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6
Morphology-Based Individual Vertebrae Classification
Autor: Eslam Mohammed, Sergi Pujades, Di Meng
Publikováno v: Shape in Medical Imaging. ShapeMI 2020
Shape in Medical Imaging. ShapeMI 2020, 12474, Springer, pp.134-144, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-61056-2_11⟩
Shape in Medical Imaging ISBN: 9783030610555
ShapeMI@MICCAI
International audience; The human spine is composed, in non-pathological cases, of 24 vertebrae. Most vertebrae are morphologically distinct from the others, such as C1 (Atlas) or C2 (Axis), but some are morphologically closer, such as neighboring th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7973f2564cae3a5484aa2e03f24a6e6
https://inria.hal.science/hal-02983894
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7
[Analysis of motor development within the first year of life: 3-D motion tracking without markers for early detection of developmental disorders]
Autor: Carmen, Parisi, Nikolas, Hesse, Uta, Tacke, Sergi, Pujades Rocamora, Astrid, Blaschek, Mijna, Hadders-Algra, Michael J, Black, Florian, Heinen, Wolfgang, Müller-Felber, A Sebastian, Schroeder
Publikováno v: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz. 63(7)
Children with motor development disorders benefit greatly from early interventions. An early diagnosis in pediatric preventive care (U2-U5) can be improved by automated screening. Current approaches to automated motion analysis, however, are expensiv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::9643e24cfbf9dccf982e230fd84e5ab1
https://pubmed.ncbi.nlm.nih.gov/32572501
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8
General Movement Assessment from videos of computed 3D infant body models is equally effective compared to conventional RGB video rating
Autor: Raphael Weinberger, Michael Arens, Lucia Gerstl, A. Sebastian Schroeder, Linze J. Dijkstra, Christoph Bodensteiner, Sergi Pujades Rocamora, Anne Hilgendorff, Uta Tacke, Nikolas Hesse, Florian Heinen, Michael J. Black, Mijna Hadders-Algra
Publikováno v: Early Human Development
Early Human Development, Elsevier, 2020, 144, pp.104967. ⟨10.1016/j.earlhumdev.2020.104967⟩
Early Human Development, 2020, 144, pp.104967. ⟨10.1016/j.earlhumdev.2020.104967⟩
Early Human Development, 144:104967. ELSEVIER IRELAND LTD
International audience; Background: General Movement Assessment (GMA) is a powerful tool to predict Cerebral Palsy (CP). Yet, GMA requires substantial training challenging its broad implementation in clinical routine. This inspired a world-wide quest
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89728f5d5fac0f5fc8df22561e49bfdb
https://publica.fraunhofer.de/handle/publica/263547
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9
Learning and Tracking the 3D Body Shape of Freely Moving Infants from RGB-D sequences
Autor: Michael J. Black, Michael Arens, Sergi Pujades, Nikolas Hesse, Ulrich G. Hofmann, A. Sebastian Schroeder
Publikováno v: IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (10), pp.2540-2551. ⟨10.1109/TPAMI.2019.2917908⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42 (10), pp.2540-2551. ⟨10.1109/TPAMI.2019.2917908⟩
Statistical models of the human body surface are generally learned from thousands of high-quality 3D scans in predefined poses to cover the wide variety of human body shapes and articulations. Acquisition of such data requires expensive equipment, ca
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a61fd395b578b675ad57e739c7ee8e8
https://publica.fraunhofer.de/handle/publica/260701
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10
Learning a Statistical Full Spine Model from Partial Observations
Autor: Marilyn Keller, Michael J. Black, Edmond Boyer, Sergi Pujades, Di Meng
Publikováno v: Shape in Medical Imaging ISBN: 9783030610555
ShapeMI@MICCAI
Shape in Medical Imaging. ShapeMI 2020
Shape in Medical Imaging. ShapeMI 2020, 12474, Springer, pp.122-133, 2020, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-61056-2_10⟩
Shape in Medical Imaging
Lecture Notes in Computer Science
The study of the morphology of the human spine has attracted research attention for its many potential applications, such as image segmentation, bio-mechanics or pathology detection. However, as of today there is no publicly available statistical mod
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f237c31baa8b8f168ec51c9f7fb9de4c
https://doi.org/10.1007/978-3-030-61056-2_10
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