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Mikhail Zaslavskiy

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IEEE Transactions on Pattern Analysis and Machine Intelligence|October 17, 2009
A path following algorithm for the graph matching problemMikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert
Bioinformatics (Oxford, England)|May 30, 2009
Global alignment of protein-protein interaction networks by graph matching methodsMikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert
BMC Bioinformatics|February 24, 2010
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand predictionBrice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert, et al.
BMC Bioinformatics|June 18, 2014
Efficient design of meganucleases using a machine learning approachMikhail Zaslavskiy, Claudia Bertonati, Philippe Duchateau, et al.
BMC Medical Research Methodology|December 28, 2022
External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learningNicolas Loiseau, Paul Trichelair, Maxime He, et al.
European Heart Journal. Digital Health|January 30, 2023
Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial dataAdrien Rousset, David Dellamonica, Romuald Menuet, et al.
BMC Molecular Biology|July 7, 2014
Exploring the transcription activator-like effectors scaffold versatility to expand the toolbox of designer nucleasesAlexandre Juillerat, Marine Beurdeley, Julien Valton, et al.
Nature Communications|August 5, 2020
A deep learning model to predict RNA-Seq expression of tumours from whole slide imagesBenoît Schmauch, Alberto Romagnoni, Elodie Pronier, et al.
Nature Medicine|October 9, 2019
Deep learning-based classification of mesothelioma improves prediction of patient outcomePierre Courtiol, Charles Maussion, Matahi Moarii, et al.
Hepatology (Baltimore, Md.)|February 29, 2020
Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological SlidesCharlie Saillard, Benoit Schmauch, Oumeima Laifa, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 17, 2009
A path following algorithm for the graph matching problemMikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert
Bioinformatics (Oxford, England)|May 30, 2009
Global alignment of protein-protein interaction networks by graph matching methodsMikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert
BMC Bioinformatics|February 24, 2010
A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand predictionBrice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert, et al.
BMC Bioinformatics|June 18, 2014
Efficient design of meganucleases using a machine learning approachMikhail Zaslavskiy, Claudia Bertonati, Philippe Duchateau, et al.
BMC Medical Research Methodology|December 28, 2022
External control arm analysis: an evaluation of propensity score approaches, G-computation, and doubly debiased machine learningNicolas Loiseau, Paul Trichelair, Maxime He, et al.
European Heart Journal. Digital Health|January 30, 2023
Can machine learning bring cardiovascular risk assessment to the next level? A methodological study using FOURIER trial dataAdrien Rousset, David Dellamonica, Romuald Menuet, et al.
BMC Molecular Biology|July 7, 2014
Exploring the transcription activator-like effectors scaffold versatility to expand the toolbox of designer nucleasesAlexandre Juillerat, Marine Beurdeley, Julien Valton, et al.
Nature Communications|August 5, 2020
A deep learning model to predict RNA-Seq expression of tumours from whole slide imagesBenoît Schmauch, Alberto Romagnoni, Elodie Pronier, et al.
Nature Medicine|October 9, 2019
Deep learning-based classification of mesothelioma improves prediction of patient outcomePierre Courtiol, Charles Maussion, Matahi Moarii, et al.
Hepatology (Baltimore, Md.)|February 29, 2020
Predicting Survival After Hepatocellular Carcinoma Resection Using Deep Learning on Histological SlidesCharlie Saillard, Benoit Schmauch, Oumeima Laifa, et al.
Pageof 2