Putative Malignant Pleural Mesothelioma in situ (MPMIS) with Sequential Acquisition of Genomic Alterations on Fluorescence in situ Hybridization (FISH) Examination

Autor: Spasenija Savice Prince, Heinz Borer, Simon Haefliger, Julien Rebetez, Lukas Bubendorf

Publikováno v: Acta Cytol

Malignant pleural mesothelioma (MPM) is a rare and deadly disease. A precursor in situ lesion, malignant pleural mesothelioma in situ (MPMIS), has recently been proposed. On cytological examination, the distinction between reactive and malignant meso

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd41751af90c0fdbf4f35c9c9c31e035
https://doi.org/10.1159/000509886

Detection of ROS1-positive non-small cell lung cancer on cytological specimens using immunocytochemistry

Autor: Michelle Herzog, Tatjana Vlajnic, Michel Bihl, Julien Rebetez, Betty Baschiera, Audrey Barascud, Bruno Grilli, Lukas Bubendorf, Spasenija Savic

Publikováno v: Cancer Cytopathology. 126:421-429

Background Rearrangements of the ROS1 oncogene are found in 1% to 2% of non-small cell lung cancers (NSCLC) and are regarded as mutually exclusive oncogenic driver mutations. Since the approval of targeted therapy for ROS1-positive NSCLC, ROS1 testin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::224d07e5cb0dee0bf29736eb25c5dd19
https://doi.org/10.1002/cncy.21983

Network-based correlated correspondence for unsupervised domain adaptation of hyperspectral satellite images

Autor: Nicolas Courty, Devis Tuia, Julien Rebetez

Publikováno v: Proceedings-International Conference on Pattern Recognition
Proceedings of ICPR2014
International Conference on Pattern Recognition (ICPR 2014)
International Conference on Pattern Recognition (ICPR 2014), Aug 2014, Stockholm, Sweden. pp.1--6
Proceedings-International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc.
ICPR

International audience; Adapting a model to changes in the data distribution is a relevant problem in machine learning and pattern recognition since such changes degrade the performances of classifiers trained on undistorted samples. This paper tackl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc0c65b01f8c4d5c9ad2f44beda2181c
https://doi.org/10.1109/icpr.2014.672

Indoor Activity Recognition by Combining One-vs.-All Neural Network Classifiers Exploiting Wearable and Depth Sensors

Autor: Andres Perez-Uribe, Hector Fabio Satizabal Mejia, Julien Rebetez, Benoît Delachaux

Publikováno v: Advances in Computational Intelligence ISBN: 9783642386817
IWANN (2)

Activity recognition has recently gained a lot of interest and appears to be a promising approach to help the elderly population pursue an independent living. There already exist several methods to detect human activities based either on wearable sen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6f7e0c80d177889f936a31f87125106
https://doi.org/10.1007/978-3-642-38682-4_25