International audienceThe use of machine-learning (ML) in neuroimaging offers new perspectives in early diagnosis and prognosis of brain diseases. Indeed, ML algorithms can jointly examine all brain features to capture complex relationships in the data in order to make inferences at a single-subject level. To deal with such high dimensional input and the associated risk of overfitting on the training data, a proper regularization (or feature selection) is required. Standard $l_2$-regularized predictors, such as Support Vector Machine, provide dense patterns of predictors. However, in the context of predictive disease signature discovery, it is now essential to understand the brain pattern that underpins the prediction. Despite $l_1$-regular...
Schizophrenia (SZ) is a mental heterogeneous psychiatric disorder with unknown cause. Neuroscientist...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
Schizophrenia is a severe mental disorder characterized by numerous subtle changes in brain structur...
International audienceThe use of machine-learning (ML) in neuroimaging offers new perspectives in ea...
International audienceObjective: Structural MRI (sMRI) increasingly offers insight into abnormalitie...
La schizophrénie est un trouble mental, chronique et invalidant caractérisé par divers symptômes tel...
International audienceDespite significant progress in the field, the detection of fMRI signal change...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
Schizophrenia (SZ) is a mental heterogeneous psychiatric disorder with unknown cause. Neuroscientist...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
Schizophrenia is a severe mental disorder characterized by numerous subtle changes in brain structur...
International audienceThe use of machine-learning (ML) in neuroimaging offers new perspectives in ea...
International audienceObjective: Structural MRI (sMRI) increasingly offers insight into abnormalitie...
La schizophrénie est un trouble mental, chronique et invalidant caractérisé par divers symptômes tel...
International audienceDespite significant progress in the field, the detection of fMRI signal change...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
Schizophrenia (SZ) is a mental heterogeneous psychiatric disorder with unknown cause. Neuroscientist...
A relatively large number of studies have investigated the power of structural magnetic resonance im...
Schizophrenia is a severe mental disorder characterized by numerous subtle changes in brain structur...