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Jan Egger
Jan Egger
Institute for AI in Medicine (IKIM), University Hospital Essen (AöR), University of Duisburg-Essen
Verified email at uk-essen.de - Homepage
Title
Cited by
Cited by
Year
GBM Volumetry using the 3D Slicer Medical Image Computing Platform
J Egger, T Kapur, A Fedorov, S Pieper, JV Miller, H Veeraraghavan, ...
Scientific Reports 3, 2013
2682013
Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display
X Chen, L Xu, Y Wang, H Wang, F Wang, X Zeng, Q Wang, J Egger
Journal of biomedical informatics 55, 124-131, 2015
2332015
A Review on the Applications of Virtual Reality, Augmented Reality and Mixed Reality in Surgical Simulation: An Extension to Different Kinds of Surgery
A Lungu, W Swinkels, L Claesen, P Tu, J Egger, X Chen
Expert Review of Medical Devices, 2020
1702020
Medical Deep Learning -- A systematic Meta-Review
J Egger, C Gsaxner, A Pepe, K Pomykala, F Jonske, M Kurz, J Li, ...
Computer Methods and Programs in Biomedicine, 2022
1442022
HTC Vive MeVisLab integration via OpenVR for medical applications
J Egger, M Gall, J Wallner, P Boechat, A Hann, X Li, X Chen, ...
PLOS ONE 12 (3), 14, 2017
1232017
Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience
D Kuhnt, MHA Bauer, J Egger, M Richter, T Kapur, J Sommer, D Merhof, ...
Neurosurgery 72 (0 1), 165, 2013
1192013
ChatGPT in Healthcare: A Taxonomy and Systematic Review
J Li, A Dada, B Puladi, J Kleesiek, J Egger
CMPB, 1-40, 2024
1002024
Pituitary Adenoma Volumetry with 3D Slicer
J Egger, T Kapur, C Nimsky, R Kikinis
PLOS ONE 7 (12), e51788, 2012
952012
Robust Detection and Segmentation for Diagnosis of Vertebral Diseases using Routine MR Images
D Zukić, A Vlasák, J Egger, D Hořínek, C Nimsky, A Kolb
Computer Graphics Forum 33 (6), 190-204, 2014
902014
QIN: 3T MR-guided brachytherapy for gynecologic malignancies
T Kapur, J Egger, A Damato, EJ Schmidt, AN Viswanathan
Magnetic Resonance Imaging, Elsevier, 2012
87*2012
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, 101773, 2020
812020
Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape
J Egger, T Kapur, T Dukatz, M Kolodziej, D Zukić, B Freisleben, C Nimsky
PloS one 7 (2), e31064, 2012
802012
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, 11, 2019
672019
Integration of the OpenIGTLink Network Protocol for image‐guided therapy with the medical platform MeVisLab
J Egger, J Tokuda, L Chauvin, B Freisleben, C Nimsky, T Kapur, W Wells
The International Journal of Medical Robotics and Computer Assisted Surgery …, 2012
652012
Aortic volume as an indicator of disease progression in patients with untreated infrarenal abdominal aneurysm
RD Renapurkar, RM Setser, TP O’Donnell, J Egger, ML Lieber, MY Desai, ...
European Journal of Radiology 81 (2), e87-e93, 2012
592012
Nugget-cut: a segmentation scheme for spherically-and elliptically-shaped 3D objects
J Egger, MHA Bauer, D Kuhnt, B Carl, C Kappus, B Freisleben, C Nimsky
Joint Pattern Recognition Symposium, 373-382, 2010
592010
A review on computer-aided design and manufacturing of patient-specific maxillofacial implants
AR Memon, E Wang, J Hu, J Egger, X Chen
Expert Rev Med Devices, 1-12, 2020
562020
Aorta segmentation for stent simulation
J Egger, B Freisleben, R Setser, R Renapuraar, C Biermann, T O'Donnell
Arxiv preprint arXiv:1103.1773, 2011
562011
Computer-aided implant design for the restoration of cranial defects
X Chen, L Xu, X Li, J Egger
Scientific Reports 7 (4199), 1-10, 2017
552017
Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software
J Egger, M Gall, A Tax, M Ücal, U Zefferer, X Li, G von Campe, U Schäfer, ...
PLoS ONE 12 (3), 20, 2017
542017
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