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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, N. Solak, G. Melito, A. Memon, X. Chen, J. Kirschke, E. de la Rosa, P. Christ, H. Li, D. Ellis, M. Aizenberg, S. Gatidis, T. Küstner, N. Shusharina, N. Heller, V. Andrearczyk, A. Depeursinge, M. Hatt, A. Sekuboyina, M. Löffler, H. Liebl, R. Dorent, T. Vercauteren, J. Shapey, A. Kujawa, S. Cornelissen, P. Langenhuizen, A. Ben-Hamadou, A. Rekik, S. Pujades, E. Boyer, F. Bolelli, C. Grana, L. Lumetti, H. Salehi, J. Ma, Y. Zhang, R. Gharleghi, S. Beier, A. Sowmya, E. Garza-Villarreal, T. Balducci, and et al.. CoRR, (2023)

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A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation.A. Pepe, G. Trotta, P. Mohr-Ziak, C. Gsaxner, J. Wallner, V. Bevilacqua, and J. Egger. J. Digital Imaging, 32 (6): 1008-1018 (2019)Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform.J. Egger, D. Wild, M. Weber, C. Bedoya, F. Karner, A. Prutsch, M. Schmied, C. Dionysio, D. Krobath, Y. Jin and 3 other author(s). J. Digit. Imaging, 35 (2): 340-355 (2022)Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations.A. Pepe, J. Egger, M. Codari, M. Willemink, C. Gsaxner, J. Li, P. Roth, G. Mistelbauer, D. Schmalstieg, and D. Fleischmann. CoRR, (2021)Medical deep learning - A systematic meta-review.J. Egger, C. Gsaxner, A. Pepe, K. Pomykala, F. Jonske, M. Kurz, J. Li, and J. Kleesiek. Comput. Methods Programs Biomed., (2022)Multicenter aortic vessel tree extraction using deep learning.B. Scharinger, A. Pepe, Y. Jin, C. Gsaxner, J. Li, and J. Egger. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12468 of SPIE Proceedings, SPIE, (2023)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, and R. Kern. PeerJ Comput. Sci., (2021)The HoloLens in medicine: A systematic review and taxonomy.C. Gsaxner, J. Li, A. Pepe, Y. Jin, J. Kleesiek, D. Schmalstieg, and J. Egger. Medical Image Anal., (April 2023)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, and J. Egger. Comput. Methods Programs Biomed., (2021)Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model.J. Li, D. Ellis, A. Pepe, C. Gsaxner, M. Aizenberg, J. Kleesiek, and J. Egger. CoRR, (2022)Markerless Image-to-Face Registration for Untethered Augmented Reality in Head and Neck Surgery.C. Gsaxner, A. Pepe, J. Wallner, D. Schmalstieg, and J. Egger. MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 236-244. Springer, (2019)

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Disambiguation of "Gsaxner, Christina"

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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

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Christina Herbrich

Christina Haarmann

Christina Reschke

Christina Becker

Christina Brauer

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Disambiguation of "Gsaxner, Christina"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.

Please choose a person to relate this publication to

Christina Herbrich

Christina Haarmann

Christina Reschke

Christina Becker

Christina Brauer

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Disambiguation

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MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision.