Antonio Pepe
Antonio Pepe
Institute of Computer Graphics and Vision, Graz University of Technology
Verifisert e-postadresse på stanford.edu - Startside
Tittel
Sitert av
Sitert av
År
A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation
A Pepe, GF Trotta, P Mohr-Ziak, C Gsaxner, J Wallner, V Bevilacqua, ...
Journal of Digital Imaging 32, 1008-1018, 2019
302019
A baseline approach for autoimplant: the miccai 2020 cranial implant design challenge
J Li, A Pepe, C Gsaxner, G von Campe, J Egger
Multimodal Learning for Clinical Decision Support and Clinical Image-Based …, 2020
192020
Detection, segmentation, simulation and visualization of aortic dissections: A review
A Pepe, J Li, M Rolf-Pissarczyk, C Gsaxner, X Chen, GA Holzapfel, ...
Medical image analysis 65, 101773, 2020
172020
Markerless image-to-face registration for untethered augmented reality in head and neck surgery
C Gsaxner, A Pepe, J Wallner, D Schmalstieg, J Egger
International Conference on Medical Image Computing and Computer-Assisted …, 2019
162019
An online platform for automatic skull defect restoration and cranial implant design
J Li, A Pepe, C Gsaxner, J Egger
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and …, 2021
102021
PET-Train: Automatic Ground Truth Generation from PET Acquisitions for Urinary Bladder Segmentation in CT Images using Deep Learning
C Gsaxner, B Pfarrkirchner, L Lydia, A Pepe, PM Roth, J Egger, J Wallner
IEEE 11th Biomedical Engineering International Conference, 1-5, 2018
92018
Pattern Recognition and Mixed Reality for Computer-Aided Maxillofacial Surgery and Oncological Assessment
A Pepe, GF Trotta, C Gsaxner, D Schmalstieg, J Wallner, J Egger, ...
IEEE 11th Biomedical Engineering International Conference, 1-5, 2018
92018
Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images
A Prutsch, A Pepe, J Egger
Central European Seminar on Computer Graphics, 2020
72020
Depth-awareness in a system for mixed-reality aided surgical procedures
MS Labini, C Gsaxner, A Pepe, J Wallner, J Egger, V Bevilacqua
International conference on intelligent computing, 716-726, 2019
72019
Augmented reality for head and neck carcinoma imaging: Description and feasibility of an instant calibration, markerless approach
C Gsaxner, A Pepe, J Li, U Ibrahimpasic, J Wallner, D Schmalstieg, ...
Computer Methods and Programs in Biomedicine 200, 105854, 2021
52021
IRIS: interactive real-time feedback image segmentation with deep learning
A Pepe, R Schussnig, J Li, C Gsaxner, X Chen, TP Fries, J Egger
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020
52020
A comprehensive Workflow and Framework for immersive Virtual Endoscopy of dissected Aortae from CTA Data
J Egger, S Gunacker, A Pepe, GM Melito, C Gsaxner, J Li, K Ellermann, ...
SPIE Medical Imaging, 2020
42020
A computer vision method for the italian finger spelling recognition
V Bevilacqua, L Biasi, A Pepe, G Mastronardi, N Caporusso
International Conference on Intelligent Computing, 264-274, 2015
42015
Synthetic skull bone defects for automatic patient-specific craniofacial implant design
J Li, C Gsaxner, A Pepe, A Morais, V Alves, G von Campe, J Wallner, ...
Scientific Data 8 (1), 1-8, 2021
32021
Deep Learning--A first Meta-Survey of selected Reviews across Scientific Disciplines and their Research Impact
J Egger, A Pepe, C Gsaxner, J Li
arXiv preprint arXiv:2011.08184, 2020
32020
Medical Deep Learning--A systematic Meta-Review
J Egger, C Gsaxner, A Pepe, J Li
arXiv preprint arXiv:2010.14881, 2020
32020
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design
J Li, P Pimentel, A Szengel, M Ehlke, H Lamecker, S Zachow, L Estacio, ...
IEEE Transactions on Medical Imaging, 2021
22021
Single-shot deep volumetric regression for mobile medical augmented reality
F Karner, C Gsaxner, A Pepe, J Li, P Fleck, C Arth, J Wallner, J Egger
Multimodal Learning for Clinical Decision Support and Clinical Image-Based …, 2020
22020
Automatic skull defect restoration and cranial implant generation for cranioplasty
J Li, G von Campe, A Pepe, C Gsaxner, E Wang, X Chen, U Zefferer, ...
Medical Image Analysis 73, 102171, 2021
12021
SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks
O Kodym, J Li, A Pepe, C Gsaxner, S Chilamkurthy, J Egger, M Španěl
Data in Brief 35, 106902, 2021
12021
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Artikler 1–20