المؤلفون: Madsen, Dennis, Aellen, Jonathan, Morel-Forster, Andreas, Vetter, Thomas, Lüthi, Marcel

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

URL الوصول: http://arxiv.org/abs/2203.09986

المؤلفون: Fouefack, Jean-Rassaire, Borotikar, Bhushan, Lüthi, Marcel, Douglas, Tania S., Burdin, Valérie, Mutsvangwa, Tinashe E. M.

مصطلحات موضوعية: Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition

URL الوصول: http://arxiv.org/abs/2112.04495

المؤلفون: Meyer, Benjamin, Stadelmann, Thilo, Lüthi, Marcel

المصدر: 11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024

مصطلحات موضوعية: Automatic differentiation, Scala 3, ScalaGrad, info:eu-repo/classification/ddc/005

وصف الملف: application/pdf

Relation: https://doi.org/10.21256/zhaw-30408; https://hdl.handle.net/11475/30408; https://digitalcollection.zhaw.ch/handle/11475/30408

الاتاحة: https://hdl.handle.net/11475/30408
https://doi.org/10.21256/zhaw-30408
https://digitalcollection.zhaw.ch/handle/11475/30408

المؤلفون: Madsen, Dennis, Morel-Forster, Andreas, Kahr, Patrick, Rahbani, Dana, Vetter, Thomas, Lüthi, Marcel

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

URL الوصول: http://arxiv.org/abs/1907.01414

المؤلفون: Gerig, Thomas, Morel-Forster, Andreas, Blumer, Clemens, Egger, Bernhard, Lüthi, Marcel, Schönborn, Sandro, Vetter, Thomas

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

URL الوصول: http://arxiv.org/abs/1709.08398

المؤلفون: Lüthi, Marcel, Jud, Christoph, Gerig, Thomas, Vetter, Thomas

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition

URL الوصول: http://arxiv.org/abs/1603.07254

المؤلفون: Lüthi, Marcel

الاتاحة: http://hdl.handle.net/2429/36999

المؤلفون: Ebert, Lars C, Rahbani, Dana, Lüthi, Marcel, Thali, Michael J, Christensen, Angi M, Fliss, Barbara

المصدر: Ebert, Lars C; Rahbani, Dana; Lüthi, Marcel; Thali, Michael J; Christensen, Angi M; Fliss, Barbara (2022). Reconstruction of full femora from partial bone fragments for anthropological analyses using statistical shape modeling. Forensic Science International, 332:111196.

مصطلحات موضوعية: Institute of Legal Medicine, 340 Law, 610 Medicine & health, Pathology and Forensic Medicine, Law

وصف الملف: application/pdf

Relation: https://www.zora.uzh.ch/id/eprint/217623/1/ebert_thali_2022_ReconstructionOfFullFemoraFromPartialBone.pdf; info:pmid/35123259; urn:issn:0379-0738

الاتاحة: https://www.zora.uzh.ch/id/eprint/217623/
https://www.zora.uzh.ch/id/eprint/217623/1/ebert_thali_2022_ReconstructionOfFullFemoraFromPartialBone.pdf
https://doi.org/10.1016/j.forsciint.2022.111196

المؤلفون: Madsen, Dennis, Lüthi, Marcel, Schneider, Andreas, Vetter, Thomas

وصف الملف: application/pdf

Relation: https://edoc.unibas.ch/69082/5/Madsen_Probabilistic_Joint_Face-Skull_CVPR_2018_paper.pdf; Madsen, Dennis and Lüthi, Marcel and Schneider, Andreas and Vetter, Thomas. (2018) Probabilistic Joint Face-Skull Modelling for Facial Reconstruction. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5295-5303.

الاتاحة: https://edoc.unibas.ch/69082/
https://edoc.unibas.ch/69082/5/Madsen_Probabilistic_Joint_Face-Skull_CVPR_2018_paper.pdf
https://doi.org/10.1109/CVPR.2018.00555

المؤلفون: Dölz, Jürgen, Gerig, Thomas, Lüthi, Marcel, Harbrecht, Helmut, Vetter, Thomas

وصف الملف: application/pdf

Relation: https://edoc.unibas.ch/69076/3/main.pdf; Dölz, Jürgen and Gerig, Thomas and Lüthi, Marcel and Harbrecht, Helmut and Vetter, Thomas. (2019) Error-Controlled Model Approximation for Gaussian Process Morphable Models. Journal of Mathematical Imaging and Vision, 61 (4). pp. 443-457.; urn:ISSN:0924-9907; urn:ISSN:1573-7683

الاتاحة: https://edoc.unibas.ch/69076/
https://edoc.unibas.ch/69076/3/main.pdf
https://doi.org/10.1007/s10851-018-0854-5

المؤلفون: Vlachopoulos, Lazaros, Lüthi, Marcel, Carrillo, Fabio, Gerber, Christian, Székely, Gábor, Fürnstahl, Philipp

المصدر: Vlachopoulos, Lazaros; Lüthi, Marcel; Carrillo, Fabio; Gerber, Christian; Székely, Gábor; Fürnstahl, Philipp (2018). Restoration of the Patient-Specific Anatomy of the Proximal and Distal Parts of the Humerus: Statistical Shape Modeling Versus Contralateral Registration Method. Journal Bone Joint Surgery America, 100(8):e50.

مصطلحات موضوعية: Balgrist University Hospital, Swiss Spinal Cord Injury Center, 610 Medicine & health

وصف الملف: application/pdf

Relation: https://www.zora.uzh.ch/id/eprint/151091/1/__int.balgrist.ch_Data%24_Home2_FrustaciD_System_Desktop_2018_Vlachopoulos_Restoration_Of_The_Patient_Specific_Anatomy_Of_The_Proximal_And_Distal_Parts_Of_The_Humerus_JBJS.pdf; info:pmid/29664855; urn:issn:0021-9355

الاتاحة: https://www.zora.uzh.ch/id/eprint/151091/
https://www.zora.uzh.ch/id/eprint/151091/1/__int.balgrist.ch_Data%24_Home2_FrustaciD_System_Desktop_2018_Vlachopoulos_Restoration_Of_The_Patient_Specific_Anatomy_Of_The_Proximal_And_Distal_Parts_Of_The_Humerus_JBJS.pdf
https://doi.org/10.2106/JBJS.17.00829

المؤلفون: Mauler, Flavien, Langguth, Christoph, Schweizer, Andreas, Vlachopoulos, Lazaros, Gass, Tobias, Lüthi, Marcel, Fürnstahl, Philipp

وصف الملف: application/pdf

Relation: https://edoc.unibas.ch/59208/1/20180118123922_5a60876a6cd94.pdf; Mauler, Flavien and Langguth, Christoph and Schweizer, Andreas and Vlachopoulos, Lazaros and Gass, Tobias and Lüthi, Marcel and Fürnstahl, Philipp. (2017) Prediction of Normal Bone Anatomy for the Planning of Corrective Osteotomies of Malunited Forearm Bones Using a Three-Dimensional Statistical Shape Model. Journal of Orthopaedic Research, 35 (12). pp. 2630-2636.; urn:ISSN:0736-0266; urn:ISSN:1554-527X

الاتاحة: https://edoc.unibas.ch/59208/
https://edoc.unibas.ch/59208/1/20180118123922_5a60876a6cd94.pdf
https://doi.org/10.1002/jor.23576

المؤلفون: Lüthi, Marcel, Gerig, Thomas, Jud, Christoph, Vetter, Thomas

وصف الملف: application/pdf

Relation: https://edoc.unibas.ch/59212/1/20180122142226_5a65e5926b894.pdf; Lüthi, Marcel and Gerig, Thomas and Jud, Christoph and Vetter, Thomas. (2017) Gaussian Process Morphable Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, PP (99).; urn:ISSN:0162-8828

الاتاحة: https://edoc.unibas.ch/59212/
https://edoc.unibas.ch/59212/1/20180122142226_5a65e5926b894.pdf
https://doi.org/10.1109/TPAMI.2017.2739743

المؤلفون: Raudaschl, Patrik F., Zaffino, Paolo, Sharp, Gregory C., Spadea, Maria Francesca, Chen, Antong, Dawant, Benoit M., Albrecht, Thomas, Gass, Tobias, Langguth, Christoph, Lüthi, Marcel, Jung, Florian, Knapp, Oliver, Wesarg, Stefan, Mannion‐Haworth, Richard, Bowes, Mike, Ashman, Annaliese, Guillard, Gwenael, Brett, Alan, Vincent, Graham, Orbes‐Arteaga, Mauricio, Cárdenas‐Peña, David, Castellanos‐Dominguez, German, Aghdasi, Nava, Li, Yangming, Berens, Angelique, Moe, Kris, Hannaford, Blake, Schubert, Rainer, Fritscher, Karl D.

المصدر: Medical Physics ; volume 44, issue 5, page 2020-2036 ; ISSN 0094-2405 2473-4209

الاتاحة: http://dx.doi.org/10.1002/mp.12197
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmp.12197
https://aapm.onlinelibrary.wiley.com/doi/pdf/10.1002/mp.12197

المؤلفون: Ebert, Lars C; https://orcid.org/0000-0002-8215-7006, Rahbani, Dana, Lüthi, Marcel, Thali, Michael J, Christensen, Angi M, Fliss, Barbara

المصدر: Ebert, Lars C; Rahbani, Dana; Lüthi, Marcel; Thali, Michael J; Christensen, Angi M; Fliss, Barbara (2022). Reconstruction of full femora from partial bone fragments for anthropological analyses using statistical shape modeling. Forensic Science International, 332:111196.

مصطلحات الفهرس: Institute of Legal Medicine, 340 Law, 610 Medicine & health, Pathology and Forensic Medicine, Law, Journal Article, PeerReviewed, info:eu-repo/semantics/article, info:eu-repo/semantics/publishedVersion

URL: https://www.zora.uzh.ch/id/eprint/217623/
https://www.zora.uzh.ch/id/eprint/217623
10.1016/j.forsciint.2022.111196

المؤلفون: Dölz, Jürgen, Gerig, Thomas, Harbrecht , Helmut, Lüthi, Marcel, Vetter, Thomas

وصف الملف: application/pdf

Relation: https://edoc.unibas.ch/69940/1/vision.pdf; Dölz, Jürgen and Gerig, Thomas and Harbrecht , Helmut and Lüthi, Marcel and Vetter, Thomas. (2017) Efficient computation of low-rank Gaussian process models for surface and image registration. Preprints Fachbereich Mathematik, 2017 (01).

الاتاحة: https://edoc.unibas.ch/69940/
https://edoc.unibas.ch/69940/1/vision.pdf

المؤلفون: Lüthi, Marcel, Albrecht, Thomas, Vetter, Thomas

المصدر: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 ; Lecture Notes in Computer Science ; page 1-8 ; ISSN 0302-9743 1611-3349 ; ISBN 9783642042706 9783642042713

الاتاحة: http://dx.doi.org/10.1007/978-3-642-04271-3_1
http://link.springer.com/content/pdf/10.1007/978-3-642-04271-3_1.pdf

المؤلفون: Madsen, Dennis, Morel-Forster, Andreas, Kahr, Patrick, Rahbani, Dana, Vetter, Thomas, Lüthi, Marcel

المساهمون: Vedaldi, Andrea, Bischof, Horst, Brox, Thomas, Frahm, Jan-Michael

Relation: Madsen, Dennis and Morel-Forster, Andreas and Kahr, Patrick and Rahbani, Dana and Vetter, Thomas and Lüthi, Marcel. (2020) A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. In: Computer Vision - ECCV 2020. 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVII. Cham, pp. 281-296.; urn:ISBN:978-3-030-58519-8; urn:ISBN:978-3-030-58520-4

الاتاحة: https://edoc.unibas.ch/81299/
https://doi.org/10.1007/978-3-030-58520-4_17

المؤلفون: Madsen, Dennis, Aellen, Jonathan, Morel-Forster, Andreas, Vetter, Thomas, Lüthi, Marcel

المساهمون: Reuter, Martin, Wachinger, Christian, Lombaert, Hervé, Paniagua, Beatriz, Goksel, Orcun, Rekik, Islem

مصطلحات موضوعية: stat, geo

Relation: https://edoc.unibas.ch/81303/

الاتاحة: https://edoc.unibas.ch/81303/

المؤلفون: Jud, Christoph, Lüthi, Marcel, Albrecht, Thomas, Schönborn, Sandro, Vetter, Thomas.

وصف الملف: application/pdf

Relation: https://edoc.unibas.ch/35019/4/20140930100251_542a63abc1659.pdf; Jud, Christoph and Lüthi, Marcel and Albrecht, Thomas and Schönborn, Sandro and Vetter, Thomas. (2014) Variational image registration using inhomogeneous regularization. Journal of mathematical imaging and vision, Vol. 50, H. 3. pp. 246-260.; urn:ISSN:0924-9907

الاتاحة: http://edoc.unibas.ch/dok/A6328765
https://edoc.unibas.ch/35019/
https://edoc.unibas.ch/35019/4/20140930100251_542a63abc1659.pdf
https://doi.org/10.1007/s10851-014-0497-0