Jean-Philippe Thiran
Nationality: Belgian & Swiss
EPFL STI IEL LTS5
ELD 240 (Bâtiment ELD)
Station 11
1015 Lausanne
+41 21 693 26 01
+41 21 693 46 23
Office: ELD 240
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Website: https://idiap.epfl.ch/
Selected publications
From Error Probability to Information Theoretic (Multi-Modal) Signal Processing
T. Butz and J. Thiran
Published in Signal Processing, Vol. 85, No 5, pp. 875-902, 2005 in
Kernel Matching Pursuit for Large Datasets
V. Popovici, S. Bengio and J. Thiran
Published in Pattern Recognition, Vol. 38, No 12, pp. 2385-2390, December 2005 in
Atlas-based Segmentation of Pathological MR Brain Images using a Model of Lesion Growth
M. Bach Cuadra, C. Pollo, A. Bardera, O. Cuisenaire, J. Villemure and J. Thiran
Published in IEEE Transactions on Medical Imaging, Vol. 23, No 10, pp. 1301- 1314, October 2004 in
Three-dimensional encoding/two-dimensional decoding of medical data
Menegaz G and Thiran J,
Published in IEEE Trans. Med. Imag., Vol. 22, No 3, pp. 424-440, March 2003, 2003 in
What and where in human audition: selective deficits following focal hemispheric lesions
Clarke S , Bellmann A , Maeder P , Adriani M , Vernet O , Regli L , Cuisenaire O and Thiran J
Published in Experimental Brain Research, Vol. 147, pp. 8-15, 2002, 2002 in
DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection
P. Hagmann, J.-Ph. Thiran, L. Jonasson, P. Vandergheynst, S. Clarke, P. Maeder and R. Meuli
Published in Neuroimage, Vol. 19, No 3, pp. 545-554, July 2003, 2003 in
Lossy to lossless object-based coding of 3-D MRI data
Menegaz G and Thiran J
Published in IEEE Trans. on Image Processing, Vol. 11, No 9, pp. 1053-1061, September 2002, 2002 in
Teaching & PhD
PhD Students
Andrés Le Boeuf Fló, Mutian He, Natalia Pato Montemayor, Jocelyn Philippe, Roser Vinals Terres, Ekin Taskin, Salomé Baup, Sandra Maria Marcadent, Tilak Purohit, Sebastian Mayr, Ayoub Tajja, Dario Sciacca, Chenyu Cui, Lina Bacha, Mathieu Benjamin Ruch
Past EPFL PhD Students
Torsten Butz, Meritxell Bach Cuadra, Datong Chen, François Mendels, Eduardo Solanas Vilar, Vlad Popovici, Xavier Bresson, Patric Hagmann, Lisa Jonasson, Gianluca Antonini, Fabien Cardinaux, Roberto Martuzzi, Valérie Duay, Ivana Arsic de Heras Ciechomska, Francisco Javier Sanchez Castro, Julien Meynet, Dragana Viceic, Laura Ioana Gui, Matteo Sorci, Xavier Gigandet, Mihai Gurban, Nawal Houhou, Dominique Zosso, Bénédicte Marie Maréchal Mortamet, Benoit Mory, Tiziano Leidi, Djalel Eddine Meskaldji, Subrahmanyam Venkata Ravi Mohana Sai Gorthi, Virginia Estellers Casas, Frank Grégoire Jean de Morsier, Alia Lemkaddem, Alessandra Griffa, Elda Fischi Gomez, Jelena Stamenkovic, Anil Yuce, Pavel Falkovskiy, Martin Proença, Gabriel Louis Cuendet, Anna Auria, Nuri Murat Arar, Mina Bjelogrlic, Tom Hilbert, Marina Zimmermann, Vijay Kartik, Fabian Braun, David Romascano, Adrien Georges Jean Besson, Muhamed Barakovic, Gaëtan Rensonnet, Dimitris Perdios, Mohammad Saeed Rad, Christophe René Joseph Ecabert, Gian Franco Piredda, Jonathan Rafael Patiño Lopez, Guillaume Jaume, Thomas Yu, Francesco La Rosa, Christian Robert Abbet, Alexander Unnervik, Loïc François Andrée Jeanningros, Veronica Ravano, Samuel Beuret, Rémy Marc M Gardier, Baptiste Ghislain Emmanuel Hériard-Dubreuil, Hatef Otroshi Shahreza, Juan Pablo Zuluaga Gomez, Devavrat Tomar, Jankowski Julius Maximilian, Juan Luis Villarreal Haro, Thomas Grégoire Stegmüller, Tobias Löw, Magali Jonnalagedda-Cattin, Guillaume Marc Georges Vray
Past EPFL PhD Students as codirector
Nicolas Fête, Javier Cruz Mota, Bilal Demir
Courses
Fundamentals of electrical circuits and systems I
EE-406
This course gives you an introduction to signal processing, focusing on the Fourier transform, on signal sampling and reconstruction and the Discrete Fourier transform.
Image analysis and pattern recognition
EE-451
This course gives an introduction to the main methods of image analysis and pattern recognition.
Lab in information technologies
EE-390(c)
Get familiar with experimental aspects of the main domains of the orientation "Information and communication technologies"
Lab in signal and image processing
EE-490(f)
These lab sessions are hands-on exercises focusing on the basics of image processing and deep learning. The main objective is to learn how to use some important image processing libraries, namely OpenCV, numpy and TensorFlow, to perform image analysis tasks.
Signals and systems (for EL)
EE-205
This course establishes the foundations of an essential concept in engineering: the notion of a system. More specifically, the course introduces the theory of linear time-invariant (LTI) systems, which are widely used to model both physical reality and human-engineered systems.