Author

GENFI

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 3

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Organism:human· 3 Assay:imaging· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alexander GerhardiD· 3 shared Alexandre de MendonçaiD· 3 shared Arabella BouziguesiD· 3 shared Barbara BorroniiD· 3 shared Benedetta NacmiasiD· 3 shared Caroline GraffiD· 3 shared Christopher ButleriD· 3 shared Daniela GalimbertiiD· 3 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Alexander GerhardORCID

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3 papers

Recent·Most cited

Machine-learning MRI stratification of genetic frontotemporal dementia for clinical trial enrichment

Mahdie Soltaninejad, Yasser Iturria‐Medina, Arabella Bouzigues, Lucy Louise Russell, Phoebe H. Foster, Eve Ferry‐Bolder, John Cornelis Van Swieten, Lize Corrine Jiskoot, Harro Seelaar, Raquel Sánchez‐Valle, Robert Jr Laforce, Caroline Graff, Daniela Galimberti, Rik R. Vandenberghe, Alexandre de Mendonça, , GENFI

This paper uses machine learning to stratify genetic frontotemporal dementia patients into subtypes and provides progression scores that improve trial enrichment efficiency.

bioRxiv · Jul 23, 2026 · PreprintNeuroscience

MRI-based classifier to identify close-to-onset cases in C9orf72 genetic frontotemporal dementia

Mahdie Soltaninejad, Yasser Iturria‐Medina, Reza Rajabli, Gleb Bezgin, Niki Hosseini‐Kamkar, Arabella Bouzigues, Lucy Louise Russell, Phoebe H. Foster, Eve Ferry‐Bolder, John Cornelis Van Swieten, Lize Corrine Jiskoot, Harro Seelaar, Raquel Sánchez‐Valle, Robert Jr Laforce, Caroline Graff, , GENFI

The paper develops an MRI-based machine learning classifier to identify presymptomatic C9orf72 carriers at high risk of disease onset within two years.

bioRxiv · Oct 18, 2025 · PreprintNeuroscience

White Matter Hyperintensities Precede other Biomarkers in GRN Frontotemporal Dementia

Mahdie Soltaninejad, Mahsa Dadar, D. Louis Collins, Reza Rajabli, Vikram Venkatraghavan, Arabella Bouzigues, Lucy Louise Russell, Phoebe H. Foster, Eve Ferry‐Bolder, John Cornelis Van Swieten, Lize Corrine Jiskoot, Harro Seelaar, Raquel Sánchez‐Valle, Robert Jr Laforce, Caroline Graff, , GENFI

The paper shows that white matter hyperintensities (WMHs) appear before other biomarkers in GRN-related frontotemporal dementia, suggesting they are early indicators of disease progression.

Alzheimer s & Dementia · Oct 1, 2025Peer-reviewedNeuroscience