Sandy Napel - HES SO Valais Publications

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Vorname(n):	Sandy
Nachname(n):	Napel

Alex Zwanenburg, Mahmoud A. Abdalah, Hugo Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Roelof J. Beukinga, Ronald Boellaard, Marta Bogowicz, Luca Boldrini, Adrien Depeursinge, Marie-Charlotte Desseroit, Nicola Dinapoli, Cuong Viet Dinh, Sebastian Echegaray, Issam El Naqa, Andriy Y. Fedorov, Roberto Gatta, Robert J. Gillies, Matthias Guckenberger, Nils Gählert, Michael Götz, Mathieu Hatt, Fabian Isensee, Philippe Lambin, Stefan Leger, Ralph T. H. Leijenaar, Jacopo Lenkowicz, Fiona Lippert, Are Losnegård, Klaus H. Maier-Hein, Olivier Morin, Henning Müller, Sandy Napel, Arman Rahmim, Arvind U. K. Rao, Nanna M. Sijtsema, Jairo Socarras Fernandez, Emiliano Spezi, Roel J. H. M Steenbakkers, Stephanie Tanadini-Lang, Daniela Thorwarth, Esther G. C. Troost, Taman Upadhaya, Vincenzo Valentini, Martin Vallières, Uulke A. van der Heide, Lisanne V. van Dijk, Joost van Griethuysen, Floris H. P. van Velden, Philip Whybra, Christian Richter und Steffen Löck, Standardized quantitative radiomics for high-throughput image-based phenotyping (2020), in: Radiology, 295:2(328-338)

[]: IF 2018 = 7.608

Camille Kurtz, Adrien Depeursinge, Sandy Napel, Christopher F. Beaulieu und Daniel L. Rubin, A semantic framework for the retrieval of similar radiological images based on medical annotations, in: IEEE International Conference on Image Processing, Paris, France, Seiten 2241-2245, IEEE, 2014

Camille Kurtz, Adrien Depeursinge, Sandy Napel, Christopher F. Beaulieu und Daniel L. Rubin, On combining visual and ontological similarities for medical image retrieval applications (2014), in: Medical Image Analysis, 18:7(1082–1100)

[]: Impact Factor=4.087

[DOI]
[URL]

Adrien Depeursinge, Camille Kurtz, Christopher F. Beaulieu, Sandy Napel und Daniel L. Rubin, Predicting Visual Semantic Descriptive Terms from Radiological Image Data: Preliminary Results with Liver Lesions in CT (2014), in: IEEE Transactions on Medical Imaging, 33:8(1-8)

[]: Impact Factor=4.027

[DOI]

Adrien Depeursinge, Camille Kurtz, Christopher F. Beaulieu, Sandy Napel und Daniel L. Rubin, Texture-Based Computational Models of Biomedical Tissue in Radiological Images: Unveiling the Invisible, in: 14th Annual Symposium on Biomedical Computation at Stanford, Stanford, CA, USA, 2014

Ausführdauer: 0.2632 Sekunden.