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Material Type: Conference Proceeding
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Ejection Fraction Measurement Based on Impedance CardiographyBIO Web of Conferences, 2023, Vol.60, p.2003 [Peer Reviewed Journal]2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2117-4458 ;ISSN: 2273-1709 ;EISSN: 2117-4458 ;DOI: 10.1051/bioconf/20236002003Full text available |
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2 |
Material Type: Conference Proceeding
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The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GANMedical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.623-631 [Peer Reviewed Journal]Springer Nature Switzerland AG 2019 ;ISSN: 0302-9743 ;ISBN: 9783030322441 ;ISBN: 3030322440 ;EISSN: 1611-3349 ;EISBN: 9783030322458 ;EISBN: 3030322459 ;DOI: 10.1007/978-3-030-32245-8_69Digital Resources/Online E-Resources |
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3 |
Material Type: Conference Proceeding
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Segmentation and Quantification of Bi-Ventricles and Myocardium Using 3D SERes-U-NetSystems, Signals and Image Processing, p.3-14 [Peer Reviewed Journal]Springer Nature Switzerland AG 2022 ;ISSN: 1865-0929 ;ISBN: 9783030968779 ;ISBN: 3030968774 ;EISSN: 1865-0937 ;EISBN: 3030968782 ;EISBN: 9783030968786 ;DOI: 10.1007/978-3-030-96878-6_1Digital Resources/Online E-Resources |
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4 |
Material Type: Conference Proceeding
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TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in EchocardiographySimplifying Medical Ultrasound, p.63-72 [Peer Reviewed Journal]Springer Nature Switzerland AG 2021 ;ISSN: 0302-9743 ;ISBN: 3030875822 ;ISBN: 9783030875824 ;EISSN: 1611-3349 ;EISBN: 3030875830 ;EISBN: 9783030875831 ;DOI: 10.1007/978-3-030-87583-1_7Digital Resources/Online E-Resources |
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5 |
Material Type: Conference Proceeding
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Interactive Whole-Heart Segmentation in Congenital Heart DiseaseMedical Image Computing and Computer-Assisted Intervention – MICCAI 2015, 2015, p.80-88 [Peer Reviewed Journal]Springer International Publishing Switzerland 2015 ;ISSN: 0302-9743 ;ISBN: 9783319245737 ;ISBN: 3319245732 ;EISSN: 1611-3349 ;EISBN: 9783319245744 ;EISBN: 3319245740 ;DOI: 10.1007/978-3-319-24574-4_10Digital Resources/Online E-Resources |
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6 |
Material Type: Conference Proceeding
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Direct Estimation of Cardiac Bi-ventricular Volumes with Regression ForestsMedical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 2), p.586-593 [Peer Reviewed Journal]Springer International Publishing Switzerland 2014 ;ISSN: 0302-9743 ;ISBN: 9783319104690 ;ISBN: 3319104691 ;EISSN: 1611-3349 ;EISBN: 3319104705 ;EISBN: 9783319104706 ;DOI: 10.1007/978-3-319-10470-6_73 ;PMID: 25485427Digital Resources/Online E-Resources |
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7 |
Material Type: Conference Proceeding
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A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography DataDeep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, p.29-37 [Peer Reviewed Journal]Springer Nature Switzerland AG 2018 ;ISSN: 0302-9743 ;ISBN: 3030008886 ;ISBN: 9783030008888 ;EISSN: 1611-3349 ;EISBN: 3030008894 ;EISBN: 9783030008895 ;DOI: 10.1007/978-3-030-00889-5_4Digital Resources/Online E-Resources |
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8 |
Material Type: Conference Proceeding
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Blood Flow Simulation of Left Ventricle with Twisted MotionComputational Science – ICCS 2022, p.343-355 [Peer Reviewed Journal]The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 ;ISSN: 0302-9743 ;ISBN: 3031087593 ;ISBN: 9783031087592 ;EISSN: 1611-3349 ;EISBN: 9783031087608 ;EISBN: 3031087607 ;DOI: 10.1007/978-3-031-08760-8_29Digital Resources/Online E-Resources |
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9 |
Material Type: Conference Proceeding
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Ventricular kinetic energy in young fontan patients50th Annual Meeting of the Association for European Paediatric and Congenital Cardiology,Italy,2016-06-01 - 2016-06-04, 2016, Vol.26 (Suppl 1), p.64 [Peer Reviewed Journal]ISSN: 1467-1107 ;EISSN: 1467-1107 ;DOI: 10.1017/S1047951116000500Full text available |
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10 |
Material Type: Conference Proceeding
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Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based ModelsAdvances in Computational Collective Intelligence, p.385-395 [Peer Reviewed Journal]The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 ;ISSN: 1865-0929 ;ISBN: 9783031162091 ;ISBN: 3031162099 ;EISSN: 1865-0937 ;EISBN: 3031162102 ;EISBN: 9783031162107 ;DOI: 10.1007/978-3-031-16210-7_32Digital Resources/Online E-Resources |
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11 |
Material Type: Conference Proceeding
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4D Automatic Centre Detection of the Right and Left Ventricles from Cine Short-Axis MRIStatistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, p.143-151 [Peer Reviewed Journal]Springer International Publishing AG 2017 ;ISSN: 0302-9743 ;ISBN: 3319527177 ;ISBN: 9783319527178 ;EISSN: 1611-3349 ;EISBN: 3319527185 ;EISBN: 9783319527185 ;DOI: 10.1007/978-3-319-52718-5_16Digital Resources/Online E-Resources |
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12 |
Material Type: Conference Proceeding
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Right Ventricle Segmentation in Cardiac MR Images Using U-Net with Partly Dilated ConvolutionArtificial Neural Networks and Machine Learning – ICANN 2018, p.179-185 [Peer Reviewed Journal]Springer Nature Switzerland AG 2018 ;ISSN: 0302-9743 ;ISBN: 3030014207 ;ISBN: 9783030014209 ;EISSN: 1611-3349 ;EISBN: 3030014215 ;EISBN: 9783030014216 ;DOI: 10.1007/978-3-030-01421-6_18Digital Resources/Online E-Resources |
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13 |
Material Type: Conference Proceeding
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A Novel Convolutional Neural Network Based on Adaptive Multi-Scale Aggregation and Boundary-Aware for Lateral Ventricle Segmentation on MR imagesThe Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, 2022Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022 ;DOI: 10.1109/ICASSP43922.2022.9747266Digital Resources/Online E-Resources |
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14 |
Material Type: Conference Proceeding
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Semi-supervised Learning Based Right Ventricle Segmentation Using Deep Convolutional Boltzmann Machine Shape ModelArtificial Neural Networks and Machine Learning – ICANN 2021, p.585-597 [Peer Reviewed Journal]Springer Nature Switzerland AG 2021 ;ISSN: 0302-9743 ;ISBN: 3030863646 ;ISBN: 9783030863647 ;EISSN: 1611-3349 ;EISBN: 3030863654 ;EISBN: 9783030863654 ;DOI: 10.1007/978-3-030-86365-4_47Digital Resources/Online E-Resources |
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15 |
Material Type: Conference Proceeding
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Segmentation of the Left Ventricle Using Distance Regularized Two-Layer Level Set ApproachMedical Image Computing and Computer-Assisted Intervention – MICCAI 2013, 2013, Vol.16 (Pt 1), p.477-484 [Peer Reviewed Journal]Springer-Verlag Berlin Heidelberg 2013 ;ISSN: 0302-9743 ;ISBN: 9783642408106 ;ISBN: 3642408109 ;EISSN: 1611-3349 ;EISBN: 9783642408113 ;EISBN: 3642408117 ;DOI: 10.1007/978-3-642-40811-3_60 ;PMID: 24505701Full text available |
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16 |
Material Type: Conference Proceeding
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Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNsStatistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, p.375-383 [Peer Reviewed Journal]Springer Nature Switzerland AG 2020 ;ISSN: 0302-9743 ;ISBN: 9783030390730 ;ISBN: 303039073X ;EISSN: 1611-3349 ;EISBN: 9783030390747 ;EISBN: 3030390748 ;DOI: 10.1007/978-3-030-39074-7_39Digital Resources/Online E-Resources |
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17 |
Material Type: Conference Proceeding
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Method for the Left Ventricle Segmentation Applicable to Distinct Echocardiography Image DatabasesXXVI Brazilian Congress on Biomedical Engineering, p.311-317Springer Nature Singapore Pte Ltd. 2019 ;ISSN: 1680-0737 ;ISBN: 9789811325168 ;ISBN: 9811325162 ;EISSN: 1433-9277 ;EISBN: 9789811325175 ;EISBN: 9811325170 ;DOI: 10.1007/978-981-13-2517-5_48Digital Resources/Online E-Resources |
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18 |
Material Type: Conference Proceeding
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Complications of Endoscopic Third Ventriculostomy: A Systematic ReviewActa neurochirurgica. Supplement, 2012, Vol.113, p.149-153 [Peer Reviewed Journal]Springer-Verlag/Wien 2012 ;ISSN: 0065-1419 ;ISBN: 3709109221 ;ISBN: 9783709109229 ;EISBN: 9783709109236 ;EISBN: 370910923X ;DOI: 10.1007/978-3-7091-0923-6_30 ;PMID: 22116442Digital Resources/Online E-Resources |
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19 |
Material Type: Conference Proceeding
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Pathophysiology of Brainstem Lesions Due to OverdrainageActa neurochirurgica. Supplement, 2012, Vol.113, p.177-180 [Peer Reviewed Journal]Springer-Verlag/Wien 2012 ;ISSN: 0065-1419 ;ISBN: 3709109221 ;ISBN: 9783709109229 ;EISBN: 9783709109236 ;EISBN: 370910923X ;DOI: 10.1007/978-3-7091-0923-6_35 ;PMID: 22116447Digital Resources/Online E-Resources |
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20 |
Material Type: Conference Proceeding
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Geodesic Patch-Based SegmentationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2014, 2014, Vol.17 (Pt 1), p.666-673 [Peer Reviewed Journal]Springer International Publishing Switzerland 2014 ;ISSN: 0302-9743 ;ISBN: 9783319104034 ;ISBN: 3319104039 ;EISSN: 1611-3349 ;EISBN: 3319104047 ;EISBN: 9783319104041 ;DOI: 10.1007/978-3-319-10404-1_83 ;PMID: 25333176Digital Resources/Online E-Resources |