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Philippe Schmid-Saugeon
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2020 – today
- 2023
- [b1]Philippe Schmid:
Développement d'historiques de commandes avancés pour améliorer le processus d'édition numérique: Développement d'un modèle et d'une architecture d'historique de commandes multi-fonction. (Developing advanced command histories to improve digital editing processes: A Swiss army knife of command histories model and architecture). University of Lille, France, 2023 - 2020
- [c5]Philippe Schmid
, Sylvain Malacria, Andy Cockburn, Mathieu Nancel
Interaction Interferences: Implications of Last-Instant System State Changes. UIST 2020: 516-528
2010 – 2019
- 2019
- [j4]Saleh Baghersalimi
DermoNet: densely linked convolutional neural network for efficient skin lesion segmentation. EURASIP J. Image Video Process. 2019: 71 (2019)
2000 – 2009
- 2004
- [j3]Philippe Schmid-Saugeon, Avideh Zakhor
Dictionary design for matching pursuit and application to motion-compensated video coding. IEEE Trans. Circuits Syst. Video Technol. 14(6): 880-886 (2004) - 2003
- [c4]Joël Guillod, Philippe Schmid-Saugeon, Frédéric Décaillet, Renato Panizzon, Murat Kunt, Jean-Philippe Thiran
An Open Internet Platform to Distributed Image Processing applied to Dermoscopy. MIE 2003: 107-112 - 2001
- [c3]Philippe Schmid-Saugeon, Avideh Zakhor:
Learning dictionaries for matching pursuits based video coders. ICIP (3) 2001: 562-565 - 2000
- [j2]Philippe Schmid-Saugeon:
Symmetry axis computation for almost-symmetrical and asymmetrical objects: Application to pigmented skin lesions. Medical Image Anal. 4(3): 269-282 (2000)
1990 – 1999
- 1999
- [j1]Philippe Schmid:
Segmentation of Digitised Dermatoscopic Images by 2D Colour Clustering. IEEE Trans. Medical Imaging 18(2): 164-171 (1999) - [c2]Philippe Schmid:
Lesion Detection in Dermatoscopic Images Using Anisotropic Diffusion and Morphological Flooding. ICIP (3) 1999: 449-453 - 1996
- [c1]Stefan Fischer, Philippe Schmid, Joël Guillod:
Analysis of skin lesions with pigmented networks. ICIP (1) 1996: 323-326
Coauthor Index
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