Searched for: author%3A%22Veenland%2C+J.F.%22
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Castillo, J.M. (author), Arif, M. (author), Starmans, M.P.A. (author), Niessen, W.J. (author), Bangma, C.H. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)
The computer-aided analysis of prostate multiparametric MRI (mpMRI) could improve significant-prostate-cancer (PCa) detection. Various deep-learning-and radiomics-based methods for significant-PCa segmentation or classification have been reported in the literature. To be able to assess the generalizability of the performance of these methods,...
journal article 2022
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Castillo, J.M. (author), Starmans, M.P.A. (author), Arif, M. (author), Niessen, W.J. (author), Klein, Stefan (author), Bangma, Chris H. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)
Radiomics applied in MRI has shown promising results in classifying prostate cancer lesions. However, many papers describe single-center studies without external validation. The issues of using radiomics models on unseen data have not yet been sufficiently addressed. The aim of this study is to evaluate the generalizability of radiomics...
journal article 2021
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Castillo, Jose M.T. (author), Arif, Muhammad (author), Niessen, W.J. (author), Schoots, Ivo G. (author), Veenland, J.F. (author)
Significant prostate carcinoma (sPCa) classification based on MRI using radiomics or deep learning approaches has gained much interest, due to the potential application in assisting in clinical decision-making. Objective: To systematically review the literature (i) to determine which algorithms are most frequently used for sPCa classification...
journal article 2020
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Guyader, Jean Marie (author), Huizinga, W. (author), Fortunati, Valerio (author), Poot, D.H.J. (author), Kranenburg, Matthijs Van (author), Veenland, J.F. (author), Paulides, Margarethus M. (author), Niessen, W.J. (author), Klein, S. (author)
In quantitative magnetic resonance imaging (qMRI), quantitative tissue properties can be estimated by fitting a signal model to the voxel intensities of a series of images acquired with different settings. To obtain reliable quantitative measures, it is necessary that the qMRI images are spatially aligned so that a given voxel corresponds in...
conference paper 2016
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Alic, L. (author), Niessen, W.J. (author), Veenland, J.F. (author)
BACKGROUND: Many techniques are proposed for the quantification of tumor heterogeneity as an imaging biomarker for differentiation between tumor types, tumor grading, response monitoring and outcome prediction. However, in clinical practice these methods are barely used. This study evaluates the reported performance of the described methods and...
journal article 2014
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Bol, K. (author), Haeck, J.C. (author), Groen, H.C. (author), Niessen, W.J. (author), Bernsen, M.R. (author), De Jong, M. (author), Veenland, J.F. (author)
Although efficient delivery and distribution of treatment agents over the whole tumor is essential for successful tumor treatment, the distribution of most of these agents cannot be visualized. However, with single-photon emission computed tomography (SPECT), both delivery and uptake of radiolabeled peptides can be visualized in a neuroendocrine...
journal article 2013
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Alic, L. (author), Haeck, J.C. (author), Bol, K. (author), Klein, S. (author), Van Tiel, S.T. (author), Wielepolski, P.A. (author), De Jong, M. (author), Niessen, W.J. (author), Bernsen, M. (author), Veenland, J.F. (author)
Background Magnetic resonance imaging (MRI), together with histology, is widely used to diagnose and to monitor treatment in oncology. Spatial correspondence between these modalities provides information about the ability of MRI to characterize cancerous tissue. However, registration is complicated by deformations during pathological processing,...
journal article 2011
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Bol, K. (author), Haeck, J.C. (author), Alic, L. (author), Bernsen, M. (author), De Jong, M. (author), Niessen, W.J. (author), Veenland, J.F. (author)
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is becoming an indispensable tool to noninvasively study tumor characteristics. However, many different DCE-analysis methods are currently being used. To compare and validate different methods, histology is the gold standard. For this purpose, exact co-localization between histology...
conference paper 2011
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Alic, L. (author), Haeck, J.C. (author), Klein, S. (author), Bol, K. (author), Van Tiel, S.T. (author), Wielepolski, P.A. (author), Bijster, M. (author), Niessen, W.J. (author), Bernsen, M. (author), Veenland, J.F. (author), De Jong, M. (author)
conference paper 2010
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Hameeteman, R. (author), Veenland, J.F. (author), Niessen, W.J. (author)
In this paper a method to remove the divergence from a vector field is presented. When applied to a displacement field, this will remove all local compression and expansion. The method can be used as a post-processing step for (unconstrained) registered images, when volume changes in the deformation field are undesired. The method involves...
conference paper 2006
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