Heskes, Tom

MAGMA: Generalized Gene-Set Analysis of GWAS Data

de Leeuw, C. A., Mooij, J. M., Heskes, T., & Posthuma, D. (2015) · PLOS Computational Biology

Bioinformatics and Genomic NetworksGenetic Associations and Epidemiology

Cited by 3,653

Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities

Ghafoorian, M., Karssemeijer, N., Heskes, T., van Uden, I. W. M., Sanchez, C. I., Litjens, G., de Leeuw, F.-E., van Ginneken, B., Marchiori, E., & Platel, B. (2017) · Scientific Reports

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 236

A Causal and Mediation Analysis of the Comorbidity Between Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD)

Sokolova, E., Oerlemans, A. M., Rommelse, N. N., Groot, P., Hartman, C. A., Glennon, J. C., Claassen, T., Heskes, T., & Buitelaar, J. K. (2017) · Journal of Autism and Developmental Disorders

Autism Spectrum Disorder ResearchAttention Deficit Hyperactivity Disorder

Cited by 136

Cognitive behavioural therapy with optional graded exercise therapy in patients with severe fatigue with myotonic dystrophy type 1: a multicentre, single-blind, randomised trial

Okkersen, K., Jimenez-Moreno, C., Wenninger, S., Daidj, F., Glennon, J., Cumming, S., Littleford, R., Monckton, D. G., Lochmüller, H., Catt, M., et al. (2018) · The Lancet Neurology

Genetic Neurodegenerative DiseasesNeurogenetic and Muscular Disorders Research

Cited by 123

Additive dose response models: defining synergy

Lederer, S., Dijkstra, T. M. H., & Heskes, T. (2019) · Frontiers in Pharmacology

Computational Drug Discovery MethodsStatistical Methods in Clinical Trials

Cited by 74

Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning

Schilpzand, M., Neff, C., van Dillen, J., van Ginneken, B., Heskes, T., de Korte, C., & van den Heuvel, T. (2022) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 23