Medical deep learning—A systematic meta-review J Egger, C Gsaxner, A Pepe, KL Pomykala, F Jonske, M Kurz, J Li, ... Computer methods and programs in biomedicine 221, 106874, 2022 | 167 | 2022 |
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 | 84 | 2020 |
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 | 69 | 2019 |
The HoloLens in medicine: A systematic review and taxonomy C Gsaxner, J Li, A Pepe, Y Jin, J Kleesiek, D Schmalstieg, J Egger Medical Image Analysis 85, 102757, 2023 | 54 | 2023 |
A baseline approach for autoimplant: the miccai 2020 cranial implant design challenge J Li, A Pepe, C Gsaxner, G Campe, J Egger Workshop on Clinical Image-Based Procedures, 75-84, 2020 | 49 | 2020 |
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 | 46 | 2021 |
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 | 45 | 2019 |
Inside-out instrument tracking for surgical navigation in augmented reality C Gsaxner, J Li, A Pepe, D Schmalstieg, J Egger Proceedings of the 27th ACM symposium on virtual reality software and …, 2021 | 44 | 2021 |
Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact J Egger, A Pepe, C Gsaxner, Y Jin, J Li, R Kern PeerJ Computer Science 7, e773, 2021 | 44* | 2021 |
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 40 (9), 2329-2342, 2021 | 44 | 2021 |
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 | 37 | 2021 |
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), 36, 2021 | 33 | 2021 |
AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks L Radl, Y Jin, A Pepe, J Li, C Gsaxner, F Zhao, J Egger Data in brief 40, 107801, 2022 | 29 | 2022 |
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 | 26 | 2021 |
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 | 26 | 2021 |
Studierfenster: an open science cloud-based medical imaging analysis platform J Egger, D Wild, M Weber, CAR Bedoya, F Karner, A Prutsch, M Schmied, ... Journal of digital imaging 35 (2), 340-355, 2022 | 24 | 2022 |
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 | 21 | 2018 |
MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants J Li, M Krall, F Trummer, AR Memon, A Pepe, C Gsaxner, Y Jin, X Chen, ... Data in Brief 39, 107524, 2021 | 20 | 2021 |
AI-based aortic vessel tree segmentation for cardiovascular diseases treatment: status quo Y Jin, A Pepe, J Li, C Gsaxner, F Zhao, KL Pomykala, J Kleesiek, ... arXiv preprint arXiv:2108.02998, 2021 | 17 | 2021 |
MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ... arXiv preprint arXiv:2308.16139, 2023 | 16 | 2023 |