Antonio Pepe
Orcid: 0000-0002-5843-6275Affiliations:
- Graz University of Technology, Institute of Computer Graphics and Vision, Austria
According to our database1,
Antonio Pepe
authored at least 41 papers
between 2015 and 2024.
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Bibliography
2024
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.
J. Medical Syst., December, 2024
Eng. Comput., April, 2024
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling.
CoRR, 2024
2023
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations.
Comput. Biol. Medicine, October, 2023
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.
Medical Image Anal., August, 2023
Medical Image Anal., April, 2023
CoRR, 2023
Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis.
Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023
Proceedings of the Shape in Medical Imaging - International Workshop, 2023
Proceedings of the Medical Imaging 2023: Biomedical Applications in Molecular, 2023
2022
J. Digit. Imaging, 2022
Stochastic Modeling of Inhomogeneities in the Aortic Wall and Uncertainty Quantification using a Bayesian Encoder-Decoder Surrogate.
CoRR, 2022
Comput. Methods Programs Biomed., 2022
Enhancement of aortic dissections in CT angiography: are common filters robust enough?
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
IEEE Trans. Medical Imaging, 2021
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact.
PeerJ Comput. Sci., 2021
Medical Image Anal., 2021
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo.
CoRR, 2021
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach.
Comput. Methods Programs Biomed., 2021
Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021
An online platform for automatic skull defect restoration and cranial implant design.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Learning to Rearrange Voxels in Binary Segmentation Masks for Smooth Manifold Triangulation.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty II, 2021
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Detection, segmentation, simulation and visualization of aortic dissections: A review.
Medical Image Anal., 2020
Deep Learning - A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact.
CoRR, 2020
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images.
CoRR, 2020
A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Semi-supervised Virtual Regression of Aortic Dissections Using 3D Generative Inpainting.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
A Baseline Approach for AutoImplant: The MICCAI 2020 Cranial Implant Design Challenge.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020
Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation.
J. Digit. Imaging, 2019
Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
2015
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015