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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Article
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Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4-Chamber UltrasoundsISSN: 2047-9980 ;EISSN: 2047-9980 ;DOI: 10.1161/JAHA.121.024168Full text available |
| 2 |
Material Type: Article
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Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4-Chamber UltrasoundsISSN: 2047-9980 ;EISSN: 2047-9980 ;DOI: 10.1161/JAHA.121.024168Full text available |
| 3 |
Material Type: Article
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Revealing Unforeseen Diagnostic Image Features With Deep Learning by Detecting Cardiovascular Diseases From Apical 4‐Chamber UltrasoundsJournal of the American Heart Association, 2022-08, Vol.11 (16), p.e024168-e024168 [Peer Reviewed Journal]ISSN: 2047-9980 ;EISSN: 2047-9980 ;DOI: 10.1161/JAHA.121.024168Full text available |
| 4 |
Material Type: Article
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A Deep Learning Algorithm for Classifying Meningioma and Auditory Neuroma in the Cerebellopontine Angle from Magnetic Resonance ImagesBopuxue zazhi, 2020-09, Vol.37 (3), p.300-310 [Peer Reviewed Journal]ISSN: 1000-4556 ;EISSN: 1000-4556 ;DOI: 10.11938/cjmr20192753Full text available |
| 5 |
Material Type: Thesises (postgraduate)
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Gesture tracking and neural activity segmentation in head-fixed behaving mice by deep learning methodsADVERTIMENT. Tots els drets reservats. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs. info:eu-repo/semantics/openAccessDigital Resources/Online E-Resources |
| 6 |
Material Type: Article
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An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videosMultimedia tools and applications, 2022-11, Vol.81 (28), p.40431-40449 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. ;ISSN: 1380-7501 ;EISSN: 1573-7721 ;DOI: 10.1007/s11042-022-12856-6 ;PMID: 35572387Full text available |
| 7 |
Material Type: Article
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Fast 3D-CNN Combined with Depth Separable Convolution for Hyperspectral Image ClassificationJisuanji kexue yu tansuo, 2022-12, Vol.16 (12), p.2860-2869 [Peer Reviewed Journal]ISSN: 1673-9418 ;DOI: 10.3778/j.issn.1673-9418.2103051Digital Resources/Online E-Resources |
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