| 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 | 220 | 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 | 94 | 2020 |
| 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 | 86 | 2023 |
| 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 | 77 | 2019 |
| 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 | 57 | 2021 |
| 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 | 53 | 2020 |
| 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 | 53 | 2019 |
| 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 | 52 | 2022 |
| 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 | 52 | 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 | 46* | 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 | 46 | 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 | 42 | 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 | 35 | 2021 |
| 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 | 30 | 2021 |
| Medshapenet–a large-scale dataset of 3d medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik 70 (1), 71-90, 2025 | 27 | 2025 |
| 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 | 27 | 2022 |
| 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 | 27 | 2021 |
| Deep learning-based 3D segmentation of true lumen, false lumen, and false lumen thrombosis in type-B aortic dissection LD Wobben, M Codari, G Mistelbauer, A Pepe, K Higashigaito, LD Hahn, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 23 | 2021 |
| 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 | 22 | 2021 |
| 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 | 22 | 2018 |
Jan EggerInstitute for AI in Medicine (IKIM), University Hospital Essen (AöR), University of Duisburg-EssenEmail được xác minh tại uk-essen.de
