Scientific Publications

  • De Francesco S, Crema C, Archetti D, Muscio C, Reid RI, Nigri A, Bruzzone MG, Tagliavini F, Lodi R, D’Angelo E, Boeve B, Kantarci K, Firbank M, Taylor JP, Tiraboschi P, Redolfi A; RIN – Neuroimaging Network. Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA. Sci Rep. 2023 Oct 13;13(1):17355. Erratum in: Sci Rep. 2024 Jan 18;14(1):1603.
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  • Palesi F, Nigri A, Gianeri R, Aquino D, Redolfi A, Biagi L, Carne I, De Francesco S, Ferraro S, Martucci P, Medina JP, Napolitano A, Pirastru A, Baglio F, Tagliavini F, Bruzzone MG, Tosetti M, Gandini Wheeler-Kingshott CAM; RIN – Neuroimaging Network. MRI data quality assessment for the RIN – Neuroimaging Network using the ACR phantoms. Phys Med. 2022;104:93-100.
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  • Redolfi A, Archetti D, De Francesco S, Crema C, Tagliavini F, Lodi R, Ghidoni R, Gandini Wheeler-Kingshott CAM, Alexander DC, D’Angelo E. Italian, European, And International Neuroinformatics Efforts: An Overview. Eur J Neurosci. 2022.
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  • Nigri A, Ferraro S, Gandini Wheeler-Kingshott CAM, Tosetti M, Redolfi A, Forloni G, D’Angelo E, Aquino D, Biagi L, Bosco P, Carne I, De Francesco S, Demichelis G, Gianeri R, Lagana MM, Micotti E, Napolitano A, Palesi F, Pirastru A, Savini G, Alberici E, Amato C, Arrigoni F, Baglio F, Bozzali M, Castellano A, Cavaliere C, Contarino VE, Ferrazzi G, Gaudino S, Marino S, Manzo V, Pavone L, Politi LS, Roccatagliata L, Rognone E, Rossi A, Tonon C, Lodi R, Tagliavini F, Bruzzone MG; RIN–Neuroimaging. Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network. Front Neurol. 2022;13:855125.
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  • De Francesco S, Galluzzi S, Vanacore N, Festari C, Rossini PM, Cappa SF, Frisoni G, Redolfi  A, for the ADNI and INTERCEPTOR Initiatives. Norms for Automatic Estimation of Hippocampal Atrophy and a Step Forward for Applicability to the Italian Population. Front. Neurosci. 2021;15:656808.
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  • Archetti D, Young AL, Oxtoby NP, Ferreira D, Mårtensson G, Westman E, Alexander DC, Frisoni GB, Redolfi A, for Alzheimer’s Disease Neuroimaging Initiative and EuroPOND Consortium. Inter-Cohort Validation of SuStaIn Model for Alzheimer’s Disease. Frontiers in Big Data 2021;4:30.
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  • Redolfi A, De Francesco S, Palesi F, Galluzzi S, Muscio C, Castellazzi G, Tiraboschi P, Savini G, Nigri A, Bottini G, Bruzzone MG, Ramusino MC, Ferraro S, Gandini Wheeler-Kingshott CAM, Tagliavini F, Frisoni GB, Ryvlin P, Demonet JF, Kherif F, Cappa SF, D’Angelo E. Medical Informatics Platform (MIP): A Pilot Study Across Clinical Italian Cohorts. Front Neurol. 2020 Sep 23;11:1021.
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  • Garibotto V, Trombella S, Antelmi LBosco PRedolfi A, Tabouret-Viaud C, Rager O, Gold G, Giannakopoulos P, Morbelli S, Nobili F, Perneczky R, Didic M, Guedj E, Drzezga A, Ossenkoppele R, Van Berckel B, Ratib OFrisoni GB. 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. Curr Alzheimer Res. 2020; 17(13): 1186-1194.

  • Falgàs N, Sánchez-Valle R, Bargalló N, Balasa M, Fernández-Villullas G, Bosch B, Olives J, Tort-Merino A, Antonell A, Muñoz-García C, León M, Grau O, Castellví M, Coll-Padrós N, Rami L, Redolfi A, Lladó A. Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimer’s disease patients: A comparison between visual and quantitative assessment. Neuroimage Clin. 2019;23:101927.
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  • Khlif MS, Egorova N, Werden E, Redolfi A, Boccardi M, DeCarli CS, Fletcher E, Singh B, Li Q, Bird L, Brodtmann A. A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants. Neuroimage Clin. 2019;21:101581.
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  • Khlif MS, Werden E, Egorova N, Boccardi M, Redolfi A, Bird L, Brodtmann A. Assessment of longitudinal hippocampal atrophy in the first year after ischemic stroke using automatic segmentation techniques. Neuroimage Clin. 2019;24:102008.
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  • Bódi N, Polgár A, Kiss E, Mester Á, Poór G, Kéri S. Reduced volumes of the CA1 and CA4-dentate gyrus hippocampal subfields in systemic lupus erythematosus. Lupus. 2017 Jan.
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  • Cover KS, van Schijndel RA, Bosco P, Damangir S, Redolfi A; Alzheimer’s Disease Neuroimaging Initiative. Can measuring hippocampal atrophy with a fully automatic method be substantially less noisy than manual segmentation over both 1 and 3 years?. Psychiatry Res. 2018 Oct 30;280:39-47.
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  • Cover KS, van Schijndel RA, Versteeg A, Leung KK, Mulder ER, Jong RA, Visser PJ, Redolfi A, Revillard J, Grenier B, Manset D, Damangir S, Bosco P, Vrenken H, van Dijk BW, Frisoni GB, Barkhof F; Alzheimer’s Disease Neuroimaging Initiative, neuGRID. Reproducibility of hippocampal atrophy rates measured with manual, FreeSurfer, AdaBoost, FSL/FIRST and the MAPS-HBSI methods in Alzheimer’s disease. Psychiatry Res. 2016 Jun 30;252:26-35.
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  • de Sitter A, Steenwijk MD, Ruet A, Versteeg A, Liu Y, van Schijndel RA, Pouwels PJW, Kilsdonk ID, Cover KS, van Dijk BW, Ropele S, Rocca MA, Yiannakas M, Wattjes MP, Damangir S, Frisoni GB, Sastre-Garriga J, Rovira A, Enzinger C, Filippi M, Frederiksen J, Ciccarelli O, Kappos L, Barkhof F, Vrenken H; MAGNIMS study group and for neuGRID. Performance of five research-domain automated WM lesion segmentation methods in a multi-center MS study. Neuroimage. 2017 Dec;163:106-114.
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  • Khlif MS, Egorova N, Werden E, Redolfi A, Boccardi M, DeCarli CS, Fletcher E, Singh B, Li Q, Bird L, Brodtmann A. A comparison of automated segmentation and manual tracing in estimating hippocampal volume in ischemic stroke and healthy control participants. Neuroimage Clin. 2019;21:101581.
    Link to the article
  • Munir K, Ahmad KH, McClatchey R. Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project. J Biomed Inform. 2015 Oct;57:245-62.
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  • Redolfi A, Manset D, Barkhof F, Wahlund LO, Glatard T, Mangin JF, Frisoni GB; neuGRID Consortium, for the Alzheimer’s Disease Neuroimaging Initiative. Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study. PLoS One. 2015 Mar 17;10(3):e0117692.
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  • Jovicich J, Marizzoni M, Bosch B, Bartrés-Faz D, Arnold J, Benninghoff J, Wiltfang J, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Bordet R, Chanoine V, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargalló N, Ferretti A, Caulo M, Aiello M, Ragucci M, Soricelli A, Salvadori N, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Rossini PM, Marra C, Otto J, Reiss-Zimmermann M, Hoffmann KT, Galluzzi S, Frisoni GB; PharmaCog Consortium. Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects. Neuroimage. 2014 Nov 1;101:390-403.
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  • Cover KS, van Schijndel RA, Popescu V, van Dijk BW, Redolfi A, Knol DL, Frisoni GB, Barkhof F, Vrenken H; neuGRID; Alzheimer׳s Disease Neuroimaging Initiative. The SIENA/FSL whole brain atrophy algorithm is no more reproducible at 3T than 1.5 T for Alzheimer’s disease. Psychiatry Res. 2014 Oct 30;224(1):14-21.
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  • Redolfi A, Bosco P, Manset D, Frisoni GB; neuGRID consortium. Brain investigation and brain conceptualization. Funct Neurol. 2013 Jul-Sep;28(3):175-90.
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  • McClatchey R, Branson A, Anjum A, Bloodsworth P, Habib I, Munir K, Shamdasani J, Soomro K; neuGRID Consortium. Providing traceability for neuroimaging analyses. Int J Med Inform. 2013 Sep;82(9):882-94.
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  • Cover KS, van Schijndel RA, van Dijk BW, Redolfi A, Knol DL, Frisoni GB, Barkhof F, Vrenken H; neuGRID; Alzheimer’s Disease Neuroimaging Initiative. Assessing the reproducibility of the SienaX and Siena brain atrophy measures using the ADNI back-to-back MP-RAGE MRI scans. Psychiatry Res. 2011 Sep 30;193(3):182-90.
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  • Anjum A, Bloodsworth P, Branson A, Habib I, McClatchey R, Solomonides T, Soomro K, The Neugrid Consortium. Research traceability using provenance services for biomedical analysis. Stud Health Technol Inform. 2010;159:88-99.
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  • Frisoni GB. Alzheimer’s disease neuroimaging initiative in Europe. Alzheimers Dement. 2010 May;6(3):280-5.
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  • Anjum A, Bloodsworth P, Habib I, Lansdale T, McClatchey R, Mehmood Y; neuGRID Consortium. Reusable services from the neuGRID project for grid-based health applications. Stud Health Technol Inform. 2009;147:283-8.
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  • Redolfi A, McClatchey R, Anjum A, Zijdenbos A, Manset D, Barkhof F, Spenger C, Legré Y, Wahlund LO, Barattieri di San Pietro C, Frisoni GB. Grid infrastructures for computational neuroscience: the neuGRID example. Future Neurology. 2009; Vol.4,No.6.
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