| 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, 106874, 2022 | 212 | 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 | 92 | 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 | 84 | 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 | 76 | 2019 |
| A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery J Wallner, M Schwaiger, K Hochegger, C Gsaxner, W Zemann, J Egger Computer methods and programs in biomedicine 182, 105102, 2019 | 57 | 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 | 54 | 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 |
| 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 | 51 | 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 | 49 | 2022 |
| 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 | 47* | 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 |
| Fully convolutional mandible segmentation on a valid ground-truth dataset J Egger, B Pfarrkirchner, C Gsaxner, L Lindner, D Schmalstieg, J Wallner 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 38 | 2018 |
| 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 |
| The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review B Puladi, C Gsaxner, J Kleesiek, F Hölzle, R Röhrig, J Egger International Journal of Oral and Maxillofacial Surgery, 2023 | 34 | 2023 |
| 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 |
| Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data C Gsaxner, PM Roth, J Wallner, J Egger PloS one 14 (3), e0212550, 2019 | 29 | 2019 |
| 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 | 26 | 2023 |
| 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 | 26 | 2022 |
Jan EggerInstitute for AI in Medicine (IKIM), University Hospital Essen (AöR), University of Duisburg-EssenAdresse e-mail validée de uk-essen.de
