Author

Roberto Roiz‐Santiáñez

Universidad de CantabriaORCID 0000-0002-5176-2983Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Dan Joseph SteiniD· 4 shared Diana Tordesillas‐GutiérreziD· 4 shared Benedicto Crespo‐FacorroiD· 3 shared Henrik WalteriD· 3 shared Ingrid AgartziD· 3 shared Lianne SchmaaliD· 3 shared Paul M. ThompsoniD· 3 shared Stefan EhrlichiD· 3 shared

Activity by Year

2017-2019 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersNeuroscience

Dan Joseph SteinORCID

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Author profile →

4 papers

Recent·Most cited

Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group

Tianye Jia, Congying Chu, Yun Liu, Jenny van Dongen, Evangelos Papastergios, Nicola J. Armstrong, Mark E. Bastin, Tania Carrillo‐Roa, Anouk den Braber, Mathew A. Harris, Rick Jansen, Jingyu Liu, Michelle Luciano A, Anil P. S. Ori, Roberto Roiz‐Santiáñez, , Sylvane Desrivières

The paper reports epigenome-wide meta-analyses of blood DNA methylation with subcortical brain volumes, identifying significant associations with hippocampal volume and potential biological mechanisms.

Molecular Psychiatry · Dec 6, 2019Peer-reviewedGenomics

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

Dmitry Petrov, Boris A. Gutman, Е.Е. Кузнецов, Theo G.M. van Erp, Jessica A. Turner, Lianne Schmaal, Dick J. Veltman, Lei Wang, Kathryn I. Alpert, Dmitry Isaev, Artemis Zavaliangos‐Petropulu, Christopher R. K. Ching, Vince D. Calhoun, David C. Glahn, Theodore Daniel Satterthwaite, , Paul M. Thompson

The paper develops deep learning models to assess the quality of subcortical brain shape models from MRI, reducing human rater time by 46-70%.

bioRxiv · Sep 4, 2018 · PreprintNeuroscience

Genetic Architecture of Subcortical Brain Structures in Over 40,000 Individuals Worldwide

Claudia Liliana Satizábal, Hieab H.H. Adams, Derrek P. Hibar, Charles C. White, Jason L. Stein, Markus R. Scholz, Muralidharan Sargurupremraj, Neda Jahanshad, Albert V. Smith, Joshua C. Bis, Xueqiu Jian, Michelle Luciano A, Edith Hofer, Alexander Teumer, Sven J. van der Lee, , Lachlan T. Strike

The paper identifies 25 genetic loci associated with subcortical brain structure volumes in over 40,000 individuals, revealing novel biology and potential drug targets.

bioRxiv · Aug 28, 2017 · PreprintGenetics

Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

Dmitry Petrov, Boris A. Gutman, Shih-Hua, Theo G.M. van Erp, Jessica A. Turner, Lianne Schmaal, Dick J. Veltman, Lei Wang, Kathryn I. Alpert, Dmitry Isaev, Artemis Zavaliangos‐Petropulu, Christopher R. K. Ching, Vince D. Calhoun, David C. Glahn, Theodore Daniel Satterthwaite, , Paul M. Thompson

This work uses machine learning to automate quality control of 3D brain shape models, reducing human workload by 30-70% across multiple datasets and diseases.

Lecture notes in computer science · Jan 1, 2017Peer-reviewedNeuroscience