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Gian Marco Melito
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2020 – today
- 2024
- [e1]Antonio Pepe, Gian Marco Melito, Jan Egger:
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, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14539, Springer 2024, ISBN 978-3-031-53240-5 [contents] - 2023
- [c2]Gian Marco Melito, Antonio Pepe, Alireza Jafarinia, Thomas Krispel, Jan Egger:
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis. SEG.A@MICCAI 2023: 110-126 - [i1]Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.:
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - 2021
- [j2]Gian Marco Melito, Thomas Stephan Müller, Vahid Badeli, Katrin Ellermann, Günter Brenn, Alice Reinbacher-Köstinger:
Sensitivity analysis study on the effect of the fluid mechanics assumptions for the computation of electrical conductivity of flowing human blood. Reliab. Eng. Syst. Saf. 213: 107663 (2021) - 2020
- [j1]Sascha Ranftl, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann, Wolfgang von der Linden:
Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection. Entropy 22(1): 58 (2020) - [c1]Jan Egger, Simon Gunacker, Antonio Pepe, Gian Marco Melito, Christina Gsaxner, Jianning Li, Katrin Ellermann, Xiaojun Chen:
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. Image-Guided Procedures 2020: 1131531
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last updated on 2024-11-28 21:24 CET by the dblp team
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