Aortendissektion

Projekt: Forschungsprojekt

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Suchergebnisse

  • 2024

    Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis

    Melito, G. M., Pepe, A., Jafarinia, A., Krispel, T. & Egger, J., 14 Feb. 2024, Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition - First Challenge, SEG.A. 2023, Held in Conjunction with MICCAI 2023, Proceedings: Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition. Pepe, A., Melito, G. M. & Egger, J. (Hrsg.). Band 1. S. 110-126 17 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 14539 LNCS).

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  • 2020

    A comprehensive Workflow and Framework for immersive Virtual Endoscopy of dissected Aortae from CTA Data

    Egger, J., Gunacker, S., Pepe, A., Melito, G. M., Gsaxner, C., Li, J., Ellermann, K. & Chen, X., 16 März 2020, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Linte, C. A. (Hrsg.). Band 11315. 1131531. (Proceedings of SPIE - The International Society for Optical Engineering; Band 11315).

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  • Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection

    Codari, M., Pepe, A., Mistelbauer, G., Mastrodicasa, D., Walters, S., Willemink, M. J. & Fleischmann, D., 1 Jan. 2020, Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings: Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Petersen, J., San José Estépar, R., Schmidt-Richberg, A., Gerard, S., Lassen-Schmidt, B., Jacobs, C., Beichel, R. & Mori, K. (Hrsg.). Cham: Springer, S. 94-105 12 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12502 LNCS).

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  • Numerical simulation of various electrode configurations in impedance cardiography to identify aortic dissection

    Reinbacher-Köstinger, A., Badeli, V., Melito, G. M., Magele, C. & Biro, O., 17 März 2020, 17th International Conference on Electrical Bioimpedance, ICEBI 2019: ICEBI 2019, Joinville, Santa Catarina, Brazil, 9-14 June 2019. Bertemes-Filho, P. (Hrsg.). Springer Singapore, S. 51-54 4 S. (IFMBE Proceedings; Band 72).

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  • Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting

    Pepe, A., Mistelbauer, G., Schwarz-Gsaxner, C., Li, J., Fleischmann, D., Schmalstieg, D. & Egger, J., Nov. 2020, (Elektronische Veröffentlichung vor Drucklegung.) Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Proceedings: Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Petersen, J., San José Estépar, R., Schmidt-Richberg, A., Gerard, S., Lassen-Schmidt, B., Jacobs, C., Beichel, R. & Mori, K. (Hrsg.). Cham: Springer, S. 130-140 11 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12502 LNCS).

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  • 2019

    Depth-Awareness in a System for Mixed-Reality Aided Surgical Procedures

    Sylos Labini, M., Gsaxner, C., Pepe, A., Wallner, J., Egger, J. & Bevilacqua, V., 2019, Intelligent Computing Methodologies - 15th International Conference, ICIC 2019, Proceedings. Huang, Z-K., Hussain, A. & Huang, D-S. (Hrsg.). Springer Verlag Heidelberg, S. 716-726 11 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11645 LNAI).

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  • Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment

    Pepe, A., Trotta, G. F., Gsaxner, C., Schmalstieg, D., Wallner, J., Egger, J. & Bevilacqua, V., 2019, BMEiCON 2018 - 11th Biomedical Engineering International Conference. 8609921

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