Fiber density asymmetry of the arcuate fasciculus in relation to functional hemispheric language lateralization in both right- and left-handed healthy subjects: A combined fMRI and DTI study. - Meike W. Vernooij; Marion Smits; Piotr Wielopolski; Gavin Houston; Gabriel P. Krestin; Aad van der Lugt (NeuroImage, 2007)

White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging. - Meike W. Vernooij; Marius de Groot; Aad van der Lugt; Mohammad Arfan Ikram; Gabriel P. Krestin; Albert Hofman; Wiro J. Niessen; Monique M. B. Breteler (NeuroImage, 2008)

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. - Michiel Schaap; Coert Metz; Theo van Walsum; Alina G. van der Giessen; Annick C. Weustink; Nico Mollet; Christian Bauer 001; Hrvoje Bogunovic; Carlos Castro-Gonzalez; Xiang Deng; Engin Dikici; Thomas O'Donnell; et al. (Medical Image Anal., 2009)

Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading. - K. Hameeteman; Maria A. Zuluaga; Moti Freiman; Leo Joskowicz; Olivier Cuisenaire; Leonardo Floréz-Valencia; Mehmet Akif Gülsün; Karl Krissian; Julien Mille; Wilbur C. K. Wong; Maciej Orkisz; Hüseyin Tek; et al. (Medical Image Anal., 2011)

Structural and diffusion MRI measures of the hippocampus and memory performance. - Tom den Heijer; Fedde van der Lijn; Meike W. Vernooij; Marius de Groot; P. J. Koudstaal; Aad van der Lugt; Gabriel P. Krestin; Albert Hofman; Wiro J. Niessen; Monique M. B. Breteler (NeuroImage, 2012)

Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. - Hortense A. Kirisli; Michiel Schaap; Coert Metz; A. S. Dharampal; W. B. Meijboom; S. L. Papadopoulou; A. Dedic; K. Nieman; Michiel A. de Graaf; M. F. L. Meijs; M. J. Cramer; Alexander Broersen; et al. (Medical Image Anal., 2013)

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare. - Karim Lekadir; Aasa Feragen; Abdul Joseph Fofanah; Alejandro F. Frangi; Alena Buyx; Anais Emelie; Andrea Lara; Antonio R. Porras; An-Wen Chan; Arcadi Navarro; Ben Glocker; Benard Ohene Botwe; et al. (CoRR, 2023)