Zobrazeno 1 - 10
of 719
pro vyhledávání: '"Wiro J, Niessen"'
Autor:
Arno van Hilten, Jeroen van Rooij, BIOS consortium, M. Arfan Ikram, Wiro J. Niessen, Joyce. B. J. van Meurs, Gennady V. Roshchupkin
Publikováno v:
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Integrating multi-omics data into predictive models has the potential to enhance accuracy, which is essential for precision medicine. In this study, we developed interpretable predictive models for multi-omics data by employing neural networ
Externí odkaz:
https://doaj.org/article/296197b7ce774b4fbd8e3012971c3fd4
Autor:
Wietske A.P. Bastiaansen, Stefan Klein, Anton H.J. Koning, Wiro J. Niessen, Régine P.M. Steegers-Theunissen, Melek Rousian
Publikováno v:
EBioMedicine, Vol 89, Iss , Pp 104466- (2023)
Summary: Background: Early screening of the brain is becoming routine clinical practice. Currently, this screening is performed by manual measurements and visual analysis, which is time-consuming and prone to errors. Computational methods may support
Externí odkaz:
https://doaj.org/article/4ae124b453164ce7ab2f67a8494d3a00
Autor:
Arno van Hilten, Steven A. Kushner, Manfred Kayser, M. Arfan Ikram, Hieab H. H. Adams, Caroline C. W. Klaver, Wiro J. Niessen, Gennady V. Roshchupkin
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-9 (2021)
van Hilten and colleagues present GenNet, a deep-learning framework for predicting phenotype from genetic data. This framework generates interpretable neural networks that provide insight into the genetic basis of complex traits and diseases.
Externí odkaz:
https://doaj.org/article/204c0fb0a15742cb9761a666d57de397
Autor:
Muralidharan Sargurupremraj, Hideaki Suzuki, Xueqiu Jian, Chloé Sarnowski, Tavia E. Evans, Joshua C. Bis, Gudny Eiriksdottir, Saori Sakaue, Natalie Terzikhan, Mohamad Habes, Wei Zhao, Nicola J. Armstrong, Edith Hofer, Lisa R. Yanek, Saskia P. Hagenaars, Rajan B. Kumar, Erik B. van den Akker, Rebekah E. McWhirter, Stella Trompet, Aniket Mishra, Yasaman Saba, Claudia L. Satizabal, Gregory Beaudet, Laurent Petit, Ami Tsuchida, Laure Zago, Sabrina Schilling, Sigurdur Sigurdsson, Rebecca F. Gottesman, Cora E. Lewis, Neelum T. Aggarwal, Oscar L. Lopez, Jennifer A. Smith, Maria C. Valdés Hernández, Jeroen van der Grond, Margaret J. Wright, Maria J. Knol, Marcus Dörr, Russell J. Thomson, Constance Bordes, Quentin Le Grand, Marie-Gabrielle Duperron, Albert V. Smith, David S. Knopman, Pamela J. Schreiner, Denis A. Evans, Jerome I. Rotter, Alexa S. Beiser, Susana Muñoz Maniega, Marian Beekman, Julian Trollor, David J. Stott, Meike W. Vernooij, Katharina Wittfeld, Wiro J. Niessen, Aicha Soumaré, Eric Boerwinkle, Stephen Sidney, Stephen T. Turner, Gail Davies, Anbupalam Thalamuthu, Uwe Völker, Mark A. van Buchem, R. Nick Bryan, Josée Dupuis, Mark E. Bastin, David Ames, Alexander Teumer, Philippe Amouyel, John B. Kwok, Robin Bülow, Ian J. Deary, Peter R. Schofield, Henry Brodaty, Jiyang Jiang, Yasuharu Tabara, Kazuya Setoh, Susumu Miyamoto, Kazumichi Yoshida, Manabu Nagata, Yoichiro Kamatani, Fumihiko Matsuda, Bruce M. Psaty, David A. Bennett, Philip L. De Jager, Thomas H. Mosley, Perminder S. Sachdev, Reinhold Schmidt, Helen R. Warren, Evangelos Evangelou, David-Alexandre Trégouët, International Network against Thrombosis (INVENT) Consortium, International Headache Genomics Consortium (IHGC), Mohammad A. Ikram, Wei Wen, Charles DeCarli, Velandai K. Srikanth, J. Wouter Jukema, Eline P. Slagboom, Sharon L. R. Kardia, Yukinori Okada, Bernard Mazoyer, Joanna M. Wardlaw, Paul A. Nyquist, Karen A. Mather, Hans J. Grabe, Helena Schmidt, Cornelia M. Van Duijn, Vilmundur Gudnason, William T. Longstreth, Lenore J. Launer, Mark Lathrop, Sudha Seshadri, Christophe Tzourio, Hieab H. Adams, Paul M. Matthews, Myriam Fornage, Stéphanie Debette
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-18 (2020)
White matter hyperintensities (WMH) are a common brain-imaging feature of cerebral small vessel disease. Here, the authors carry out a GWAS and followup analyses for WMH-volume, implicating several variants with potential for risk stratification and
Externí odkaz:
https://doaj.org/article/3d0e1a5389ab4d9387592a6316f6a661
Autor:
Edith Hofer, Gennady V. Roshchupkin, Hieab H. H. Adams, Maria J. Knol, Honghuang Lin, Shuo Li, Habil Zare, Shahzad Ahmad, Nicola J. Armstrong, Claudia L. Satizabal, Manon Bernard, Joshua C. Bis, Nathan A. Gillespie, Michelle Luciano, Aniket Mishra, Markus Scholz, Alexander Teumer, Rui Xia, Xueqiu Jian, Thomas H. Mosley, Yasaman Saba, Lukas Pirpamer, Stephan Seiler, James T. Becker, Owen Carmichael, Jerome I. Rotter, Bruce M. Psaty, Oscar L. Lopez, Najaf Amin, Sven J. van der Lee, Qiong Yang, Jayandra J. Himali, Pauline Maillard, Alexa S. Beiser, Charles DeCarli, Sherif Karama, Lindsay Lewis, Mat Harris, Mark E. Bastin, Ian J. Deary, A. Veronica Witte, Frauke Beyer, Markus Loeffler, Karen A. Mather, Peter R. Schofield, Anbupalam Thalamuthu, John B. Kwok, Margaret J. Wright, David Ames, Julian Trollor, Jiyang Jiang, Henry Brodaty, Wei Wen, Meike W. Vernooij, Albert Hofman, André G. Uitterlinden, Wiro J. Niessen, Katharina Wittfeld, Robin Bülow, Uwe Völker, Zdenka Pausova, G. Bruce Pike, Sophie Maingault, Fabrice Crivello, Christophe Tzourio, Philippe Amouyel, Bernard Mazoyer, Michael C. Neale, Carol E. Franz, Michael J. Lyons, Matthew S. Panizzon, Ole A. Andreassen, Anders M. Dale, Mark Logue, Katrina L. Grasby, Neda Jahanshad, Jodie N. Painter, Lucía Colodro-Conde, Janita Bralten, Derrek P. Hibar, Penelope A. Lind, Fabrizio Pizzagalli, Jason L. Stein, Paul M. Thompson, Sarah E. Medland, ENIGMA consortium, Perminder S. Sachdev, William S. Kremen, Joanna M. Wardlaw, Arno Villringer, Cornelia M. van Duijn, Hans J. Grabe, William T. Longstreth, Myriam Fornage, Tomas Paus, Stephanie Debette, M. Arfan Ikram, Helena Schmidt, Reinhold Schmidt, Sudha Seshadri
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
Cortex morphology varies with age, cognitive function, and in neurological and psychiatric diseases. Here the authors report 160 genome-wide significant associations with thickness, surface area and volume of the total cortex and 34 cortical regions
Externí odkaz:
https://doaj.org/article/5d16e85f224b486f9cfab04f0d940bed
Autor:
Vikram Venkatraghavan, Elisabeth J. Vinke, Esther E. Bron, Wiro J. Niessen, M. Arfan Ikram, Stefan Klein, Meike W. Vernooij
Publikováno v:
NeuroImage, Vol 238, Iss , Pp 118233- (2021)
Data-driven disease progression models have provided important insight into the timeline of brain changes in AD phenotypes. However, their utility in predicting the progression of pre-symptomatic AD in a population-based setting has not yet been inve
Externí odkaz:
https://doaj.org/article/c9a2799fa18f4ffcb8394042ebc854c3
Autor:
Pinar Yilmaz, Louise J. M. Alferink, Lotte G. M. Cremers, Sarwa D. Murad, Wiro J. Niessen, M. Arfan Ikram, Meike W. Vernooij
Publikováno v:
Liver International, 43(6), 1256-1268. Wiley-Blackwell Publishing Ltd
Liver International, 43(6)
Liver International, 43(6)
Background & Aims: Impaired liver function affects brain health and therefore understanding potential mechanisms for subclinical liver disease is essential. We assessed the liver–brain associations using liver measures with brain imaging markers, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0044f7f5231e8d3286925905132c614
https://pure.eur.nl/en/publications/ebef9114-8a6d-4419-a8f7-f6d10b22dedf
https://pure.eur.nl/en/publications/ebef9114-8a6d-4419-a8f7-f6d10b22dedf
Autor:
Bo Li, Wiro J. Niessen, Stefan Klein, Marius de Groot, M. Arfan Ikram, Meike W. Vernooij, Esther E. Bron
Publikováno v:
NeuroImage, Vol 235, Iss , Pp 118004- (2021)
This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear regi
Externí odkaz:
https://doaj.org/article/8a99aef6920b45df94d777df1a30506c
Autor:
Vikram Venkatraghavan, Stefan Klein, Lana Fani, Leontine S. Ham, Henri Vrooman, M. Kamran Ikram, Wiro J. Niessen, Esther E. Bron
Publikováno v:
NeuroImage, Vol 227, Iss , Pp 117646- (2021)
Alzheimer’s disease (AD) is the most common form of dementia and is phenotypically heterogeneous. APOE is a triallelic gene which correlates with phenotypic heterogeneity in AD. In this work, we determined the effect of APOE alleles on the disease
Externí odkaz:
https://doaj.org/article/90da3ae9bbf144d9bc5d78754d50ed07
Autor:
Esther E. Bron, Stefan Klein, Janne M. Papma, Lize C. Jiskoot, Vikram Venkatraghavan, Jara Linders, Pauline Aalten, Peter Paul De Deyn, Geert Jan Biessels, Jurgen A.H.R. Claassen, Huub A.M. Middelkoop, Marion Smits, Wiro J. Niessen, John C. van Swieten, Wiesje M. van der Flier, Inez H.G.B. Ramakers, Aad van der Lugt
Publikováno v:
NeuroImage: Clinical, Vol 31, Iss , Pp 102712- (2021)
This work validates the generalizability of MRI-based classification of Alzheimer’s disease (AD) patients and controls (CN) to an external data set and to the task of prediction of conversion to AD in individuals with mild cognitive impairment (MCI
Externí odkaz:
https://doaj.org/article/9ed2b42866ef4ee6a802e7cc2c816108