Medical Deep Learning--A systematic Meta-Review J Egger, C Gsaxner, A Pepe, J Li arXiv preprint arXiv:2010.14881, 2020 | 151 | 2020 |
ChatGPT in Healthcare: A Taxonomy and Systematic Review J Li, A Dada, J Kleesiek, J Egger medRxiv, 2023.03. 30.23287899, 2023 | 131 | 2023 |
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 |
Towards the automatization of cranial implant design in cranioplasty J Li, J Egger Cham: Springer, 2020 | 63* | 2020 |
The HoloLens in Medicine: A systematic Review and Taxonomy C Gsaxner, J Li, A Pepe, Y Jin, J Kleesiek, D Schmalstieg, J Egger arXiv preprint arXiv:2209.03245, 2022 | 52 | 2022 |
A baseline approach for AutoImplant: the MICCAI 2020 cranial implant design challenge J Li, A Pepe, C Gsaxner, G Campe, J Egger Multimodal Learning for Clinical Decision Support and Clinical Image-Based …, 2020 | 48 | 2020 |
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 |
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 | 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 |
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 | 40* | 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 | 36 | 2021 |
Towards the automatization of cranial implant design in cranioplasty II: Second Challenge, AutoImplant 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1 … JLJ Egger Springer, Cham 13123 (https://link.springer.com/book/10.1007/9), 1-138, 2021 | 32* | 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), 1-8, 2021 | 31 | 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, 107801, 2022 | 29 | 2022 |
Medical image segmentation in oral-maxillofacial surgery J Li, M Erdt, F Janoos, T Chang, J Egger Computer-Aided Oral and Maxillofacial Surgery, 1-27, 2021 | 26 | 2021 |
Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 25 | 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, 106902, 2021 | 25 | 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 | 25 | 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, 1-16, 2022 | 21 | 2022 |
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 | 19 | 2021 |