Alexander B. Leichtle

According to our database, Alexander B. Leichtle authored at least 6 papers between 2006 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multilingual RECIST classification of radiology reports using supervised learning.

Luc Mottin, Jean-Philippe Goldman, Christoph Jäggli, Rita Achermann, Julien Gobeill, Julien Knafou, Julien Ehrsam, Alexandre Wicky, Camille L. Gerard, Tanja Schwenk, Mélinda Charrier, Petros Tsantoulis, Christian Lovis, Alexander B. Leichtle, Michael Kiessling, Olivier Michielin, Sylvain Pradervand, Vasiliki Foufi, Patrick Ruch

Frontiers Digit. Health, May, 2023

2022

Classification of oncology treatment responses from radiology reports with supervised machine learning.

Luc Mottin, Jean-Philippe Goldman, Christoph Jäggli, Rita Achermann, Julien Gobeill, Julien Knafou, Julien Ehrsam, Alexandre Wicky, Camille L. Gerard, Tanja Schwenk, Mélinda Charrier, Petros Tsantoulis, Christian Lovis, Alexander B. Leichtle, Michael Kiessling, Olivier Michielin, Sylvain Pradervand, Vasiliki Foufi, Patrick Ruch

Proceedings of the AMIA 2022, 2022

2020

SPHN/PHRT - MedCo in Action: Empowering the Swiss Molecular Tumor Board with Privacy-Preserving and Real-Time Patient Discovery.

Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Sylvain Pradervand, Michel A. Cuendet, Mickaël Misbach, João Sá Sousa, Francesco Marino, Nicolas Freundler, Nicolas Rosat, David Cavin, Alexander B. Leichtle, Jacques Fellay, Olivier Michielin, Jean-Pierre Hubaux

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2019

A comparative study of pattern recognition algorithms for predicting the inpatient mortality risk using routine laboratory measurements.

Narayan Schütz, Alexander B. Leichtle, Kaspar Riesen

Artif. Intell. Rev., 2019

2017

Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry data.

Tim O. F. Conrad, Martin Genzel, Nada Cvetkovic, Niklas Wulkow, Alexander B. Leichtle, Jan Vybíral, Gitta Kutyniok, Christof Schütte

BMC Bioinform., 2017

2006

Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level.

Tim O. F. Conrad, Alexander B. Leichtle, Andre Hagehülsmann, Elmar Diederichs, Sven Baumann, Joachim Thiery, Christof Schütte

Proceedings of the Computational Life Sciences II, 2006