Search - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly

Filter your results

7 Results
authFullName_s : Alberto Redolfi

Head-to-Head Comparison of Two Popular Cortical Thickness Extraction Algorithms: A Cross-Sectional and Longitudinal Study

Alberto Redolfi , David Manset , Frederik Barkhof , Lars-Olof Wahlund , Tristan Glatard et al.
PLoS ONE, 2015, 10 (3), pp.e0117692. ⟨10.1371/journal.pone.0117692⟩
Journal articles hal-01373371v1
Image document

A comparison of two Statistical Mapping Tools for Automated Brain FDG-PET analysis in predicting conversion to Alzheimer's Disease in Subjects with Mild Cognitive Impairment

Valentina Garibotto , Sara Trombella , Luigi Antelmi , Paolo Bosco , Alberto Redolfi et al.
Current Alzheimer Research, 2021, 17 (13), pp.1186-1194. ⟨10.2174/1567205018666210212162443⟩
Journal articles hal-03603027v1

MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study

Mara ten Kate , Alberto Redolfi , Enrico Peira , Isabelle Bos , Stephanie Vos et al.
Alzheimer's Research and Therapy, 2018, 10 (1), pp.100. ⟨10.1186/s13195-018-0428-1⟩
Journal articles hal-03598100v1
Image document

Towards cross-cohort estimation of cognitive decline in neurodegenerative diseases

Etienne Maheux , Igor Koval , Damiano Archetti , Alberto Redolfi , Stanley Durrleman​ et al.
VPH 2020 - Virtual Physiological Human, Aug 2020, Paris / Virtual, France
Conference papers hal-03137870v1
Image document

E-infrastructure, cortical mesh segmentation, quality control environment : a red thread for neuroscientists

Alberto Redolfi
Medical Imaging. Université Paris Saclay (COmUE), 2017. English. ⟨NNT : 2017SACLS191⟩
Theses tel-02182658v1

A Comparison of Two Statistical Mapping Tools for Automated Brain FDG-PET Analysis in Predicting Conversion to Alzheimer’s Disease in Subjects with Mild Cognitive Impairment

Valentina Garibotto , Sara Trombella , Luigi Antelmi , Paolo Bosco , Alberto Redolfi et al.
Current Alzheimer Research, 2021, 17 (13), pp.1186-1194. ⟨10.2174/1567205018666210212162443⟩
Journal articles hal-03224880v1
Image document

Forecast of the MMSE score up to 6 years ahead, with cross-cohort replications

Etienne Maheux , Igor Koval , Damiano Archetti , Alberto Redolfi , Stanley Durrleman​ et al.
CompAge 2020 - Computational approaches for ageing and age-related diseases, Sep 2020, Paris / Virtual, France
Conference papers hal-03137878v1