output
20062019
most citedNon-invasive real-time imaging through scattering layers and around corners via speckle correlations

1.2k citations

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8 papers · 1 filter

stat.ML20172 cited

Multilevel Modeling with Structured Penalties for Classification from Imaging Genetics data

Pascal Lu, Olivier Colliot

In this paper, we propose a framework for automatic classification of patients from multimodal genetic and brain imaging data by optimally combining them. Additive models with unad…

stat.ML201710 cited

Statistical learning of spatiotemporal patterns from longitudinal manifold-valued networks

Igor Koval, Jean-Baptiste Schiratti, Alexandre Routier +4

We introduce a mixed-effects model to learn spatiotempo-ral patterns on a network by considering longitudinal measures distributed on a fixed graph. The data come from repeated obs…

stat.ML201715 cited

Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease

Jorge Samper-González, Ninon Burgos, Sabrina Fontanella +5

In recent years, the number of papers on Alzheimer's disease classification has increased dramatically, generating interesting methodological ideas on the use machine learning and…

stat.ML20165 cited

Network-Guided Biomarker Discovery

Chloé-Agathe Azencott

Identifying measurable genetic indicators (or biomarkers) of a specific condition of a biological system is a key element of precision medicine. Indeed it allows to tailor diagnost…

stat.ML201513 cited

Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data

Kévin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras +1

Microbial identification is a central issue in microbiology, in particular in the fields of infectious diseases diagnosis and industrial quality control. The concept of species is…

stat.ML2012

Improving accuracy and power with transfer learning using a meta-analytic database

Yannick Schwartz, Gaël Varoquaux, Christophe Pallier +3

Typical cohorts in brain imaging studies are not large enough for systematic testing of all the information contained in the images. To build testable working hypotheses, investiga…