** = Publications listed in SCI/SSCI/Pubmed
** Puladi, B; Gsaxner, C; Kleesiek, J; Hölzle, F; Röhrig, R; Egger, J
Response to the comment on "The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review".
Int J Oral Maxillofac Surg. 2024;
Doi: 10.1016/j.ijom.2023.12.010
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** Li, J; Zhou, Z; Yang, J; Pepe, A; Gsaxner, C; Luijten, G; Qu, C; Zhang, T; Chen, X; Li, W; Wodzinski, M; Friedrich, P; Xie, K; Jin, Y; Ambigapathy, N; Nasca, E; Solak, N; Melito, GM; Vu, VD; Memon, AR; Schlachta, C; De, Ribaupierre, S; Patel, R; Eagleson, R; Chen, X; Mächler, H; Kirschke, JS; de, la, Rosa, E; Christ, PF; Li, HB; Ellis, DG; Aizenberg, MR; Gatidis, S; Küstner, T; Shusharina, N; Heller, N; Andrearczyk, V; Depeursinge, A; Hatt, M; Sekuboyina, A; Löffler, MT; Liebl, H; Dorent, R; Vercauteren, T; Shapey, J; Kujawa, A; Cornelissen, S; Langenhuizen, P; Ben-Hamadou, A; Rekik, A; Pujades, S; Boyer, E; Bolelli, F; Grana, C; Lumetti, L; Salehi, H; Ma, J; Zhang, Y; Gharleghi, R; Beier, S; Sowmya, A; Garza-Villarreal, EA; Balducci, T; Angeles-Valdez, D; Souza, R; Rittner, L; Frayne, R; Ji, Y; Ferrari, V; Chatterjee, S; Dubost, F; Schreiber, S; Mattern, H; Speck, O; Haehn, D; John, C; Nürnberger, A; Pedrosa, J; Ferreira, C; Aresta, G; Cunha, A; Campilho, A; Suter, Y; Garcia, J; Lalande, A; Vandenbossche, V; Van, Oevelen, A; Duquesne, K; Mekhzoum, H; Vandemeulebroucke, J; Audenaert, E; Krebs, C; van, Leeuwen, T; Vereecke, E; Heidemeyer, H; Röhrig, R; Hölzle, F; Badeli, V; Krieger, K; Gunzer, M; Chen, J; van, Meegdenburg, T; Dada, A; Balzer, M; Fragemann, J; Jonske, F; Rempe, M; Malorodov, S; Bahnsen, FH; Seibold, C; Jaus, A; Marinov, Z; Jaeger, PF; Stiefelhagen, R; Santos, AS; Lindo, M; Ferreira, A; Alves, V; Kamp, M; Abourayya, A; Nensa, F; Hörst, F; Brehmer, A; Heine, L; Hanusrichter, Y; Weßling, M; Dudda, M; Podleska, LE; Fink, MA; Keyl, J; Tserpes, K; Kim, MS; Elhabian, S; Lamecker, H; Zukić, D; Paniagua, B; Wachinger, C; Urschler, M; Duong, L; Wasserthal, J; Hoyer, PF; Basu, O; Maal, T; Witjes, MJH; Schiele, G; Chang, TC; Ahmadi, SA; Luo, P; Menze, B; Reyes, M; Deserno, TM; Davatzikos, C; Puladi, B; Fua, P; Yuille, AL; Kleesiek, J; Egger, J
MedShapeNet - a large-scale dataset of 3D medical shapes for computer vision.
Biomed Tech (Berl). 2025; 70(1):71-90
Doi: 10.1515/bmt-2024-0396
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** Rieder, M; Remschmidt, B; Gsaxner, C; Gaessler, J; Payer, M; Zemann, W; Wallner, J
Augmented Reality-Guided Extraction of Fully Impacted Lower Third Molars Based on Maxillofacial CBCT Scans.
Bioengineering (Basel). 2024; 11(6):
Doi: 10.3390/bioengineering11060625
[OPEN ACCESS]
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** Puladi, B; Gsaxner, C; Kleesiek, J; Hoelzle, F; Roehrig, R; Egger, J
The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review
INT J ORAL MAX SURG. 2024; 53(1): 78-88.
Doi: 10.1016/j.ijom.2023.09.005
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** Remschmidt, B; Rieder, M; Gsaxner, C; Gaessler, J; Payer, M; Wallner, J
Augmented Reality-Guided Apicoectomy Based on Maxillofacial CBCT Scans.
Diagnostics (Basel). 2023; 13(19):
Doi: 10.3390/diagnostics13193037
[OPEN ACCESS]
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** Egger, J; Gsaxner, C; Pepe, A; Pomykala, KL; Jonske, F; Kurz, M; Li, JN; Kleesiek, J
Medical deep learning-A systematic meta-review
COMPUT METH PROG BIO. 2022; 221: 106874
Doi: 10.1016/j.cmpb.2022.106874
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** Radl, L; Jin, Y; Pepe, A; Li, J; Gsaxner, C; Zhao, FH; Egger, J
AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks.
Data Brief. 2022; 40:107801
Doi: 10.1016/j.dib.2022.107801
[OPEN ACCESS]
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** Gsaxner, C; Pepe, A; Li, J; Ibrahimpasic, U; Wallner, J; Schmalstieg, D; Egger, J
Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach.
Comput Methods Programs Biomed. 2021; 200(1):105854-105854
Doi: 10.1016/j.cmpb.2020.105854
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** Li, J; Gsaxner, C; Pepe, A; Morais, A; Alves, V; von Campe, G; Wallner, J; Egger, J
Synthetic skull bone defects for automatic patient-specific craniofacial implant design.
Sci Data. 2021; 8(1):36-36
Doi: 10.1038/s41597-021-00806-0
[OPEN ACCESS]
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** Li, J; Krall, M; Trummer, F; Memon, AR; Pepe, A; Gsaxner, C; Jin, Y; Chen, X; Deutschmann, H; Zefferer, U; Schäfer, U; Campe, GV; Egger, J
MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants.
Data Brief. 2021; 39: 107524
Doi: 10.1016/j.dib.2021.107524
[OPEN ACCESS]
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** Li, J; Pimentel, P; Szengel, A; Ehlke, M; Lamecker, H; Zachow, S; Estacio, L; Doenitz, C; Ramm, H; Shi, H; Chen, X; Matzkin, F; Newcombe, V; Ferrante, E; Jin, Y; Ellis, DG; Aizenberg, MR; Kodym, O; Spanel, M; Herout, A; Mainprize, JG; Fishman, Z; Hardisty, MR; Bayat, A; Shit, S; Wang, B; Liu, Z; Eder, M; Pepe, A; Gsaxner, C; Alves, V; Zefferer, U; von, Campe, G; Pistracher, K; Schafer, U; Schmalstieg, D; Menze, BH; Glocker, B; Egger, J
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.
IEEE Trans Med Imaging. 2021; 40(9):2329-2342
Doi: 10.1109/TMI.2021.3077047
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** Li, J; von, Campe, G; Pepe, A; Gsaxner, C; Wang, E; Chen, X; Zefferer, U; Tödtling, M; Krall, M; Deutschmann, H; Schäfer, U; Schmalstieg, D; Egger, J
Automatic skull defect restoration and cranial implant generation for cranioplasty.
MED IMAGE ANAL. 2021; 73: 102171
Doi: 10.1016/j.media.2021.102171
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** Egger, J; Pepe, A; Gsaxner, C; Jin, Y; Li, JN; Kern, R
Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
PEERJ COMPUT SCI. 2021; 7: e773
Doi: 10.7717/peerj-cs.773
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** Pepe, A; Li, J; Rolf-Pissarczyk, M; Gsaxner, C; Chen, X; Holzapfel, GA; Egger, J
Detection, segmentation, simulation and visualization of aortic dissections: A review.
MED IMAGE ANAL. 2020; 65(1): 101773-101773.
Doi: 10.1016/j.media.2020.101773
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** Gsaxner, C; Roth, PM; Wallner, J; Egger, J
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data.
PLoS One. 2019; 14(3):e0212550-e0212550
Doi: 10.1371/journal.pone.0212550
[OPEN ACCESS]
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** Gsaxner, C; Wallner, J; Chen, X; Zemann, W; Egger, J
Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery.
Sci Data. 2019; 6(1):310-310
Doi: 10.1038/s41597-019-0327-8
[OPEN ACCESS]
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** Lindner, L; Narnhofer, D; Weber, M; Gsaxner, C; Kolodziej, M; Egger, J
Using Synthetic Training Data for Deep Learning-Based GBM Segmentation.
Annu Int Conf IEEE Eng Med Biol Soc. 2019; 2019(4):6724-6729
Doi: 10.1109/EMBC.2019.8856297
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** Pepe, A; Trotta, GF; Mohr-Ziak, P; Gsaxner, C; Wallner, J; Bevilacqua, V; Egger, J
A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation.
J Digit Imaging. 2019; 32(6):1008-1018
Doi: 10.1007/s10278-019-00272-6
[OPEN ACCESS]
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** Wallner, J; Schwaiger, M; Hochegger, K; Gsaxner, C; Zemann, W; Egger, J
A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery.
Comput Methods Programs Biomed. 2019; 182(1):105102-105102
Doi: 10.1016/j.cmpb.2019.105102
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** Egger, J; Pfarrkirchner, B; Gsaxner, C; Lindner, L; Schmalstieg, D; Wallner, J
Fully Convolutional Mandible Segmentation on a valid Ground- Truth Dataset.
Annu Int Conf IEEE Eng Med Biol Soc. 2018; 2018(3):656-660
Doi: 10.1109/EMBC.2018.8512458
[Oral Communication]
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