Search Results - "Pluim, J. P. W."

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  1. 1

    Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy by den Boer, R. B., Jaspers, T. J. M., de Jongh, C., Pluim, J. P. W., van der Sommen, F., Boers, T., van Hillegersberg, R., Van Eijnatten, M. A. J. M., Ruurda, J. P.

    Published in Surgical endoscopy (01-07-2023)
    “…Objective To develop a deep learning algorithm for anatomy recognition in thoracoscopic video frames from robot-assisted minimally invasive esophagectomy…”
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    Journal Article
  2. 2

    Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus by Jongen, C, van der Grond, J, Kappelle, L. J, Biessels, G. J, Viergever, M. A, Pluim, J. P. W

    Published in Diabetologia (01-07-2007)
    “…Aims/hypothesis Type 2 diabetes mellitus has been associated with brain atrophy and cognitive decline, but the association with ischaemic white matter lesions…”
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    Journal Article
  3. 3

    Computer-aided anatomy recognition in intrathoracic and -abdominal surgery: a systematic review by den Boer, R. B., de Jongh, C., Huijbers, W. T. E., Jaspers, T. J. M., Pluim, J. P. W., van Hillegersberg, R., Van Eijnatten, M., Ruurda, J. P.

    Published in Surgical endoscopy (01-12-2022)
    “…Background Minimally invasive surgery is complex and associated with substantial learning curves. Computer-aided anatomy recognition, such as artificial…”
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    Journal Article
  4. 4

    Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance Level Estimation (SIMPLE) by Langerak, Thomas Robin, van der Heide, U A, Kotte, A N T J, Viergever, M A, van Vulpen, M, Pluim, J P W

    Published in IEEE transactions on medical imaging (01-12-2010)
    “…In a multi-atlas based segmentation procedure, propagated atlas segmentations must be combined in a label fusion process. Some current methods deal with this…”
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    Journal Article
  5. 5

    Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks by Eppenhof, K.A.J., Maspero, M., Savenije, M.H.F., de Boer, J.C.J., van der Voort van Zyp, J.R.N., Raaymakers, B.W., Raaijmakers, A.J.E., Veta, M., van den Berg, C.A.T., Pluim, J.P.W.

    Published in Medical physics (Lancaster) (01-03-2020)
    “…Purpose To quickly and automatically propagate organ contours from pretreatment to fraction images in magnetic resonance (MR)‐guided prostate external‐beam…”
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  6. 6

    Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver by Jansen, M J A, Kuijf, H J, Veldhuis, W B, Wessels, F J, van Leeuwen, M S, Pluim, J P W

    Published in Physics in medicine & biology (12-09-2017)
    “…Motion correction of 4D dynamic contrast enhanced MRI (DCE-MRI) series is required for diagnostic evaluation of liver lesions. The registration, however, is a…”
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    Journal Article
  7. 7

    Semi-automatic construction of reference standards for evaluation of image registration by Murphy, K., van Ginneken, B., Klein, S., Staring, M., de Hoop, B.J., Viergever, M.A., Pluim, J.P.W.

    Published in Medical image analysis (01-02-2011)
    “…Quantitative evaluation of image registration algorithms is a difficult and under-addressed issue due to the lack of a reference standard in most registration…”
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  8. 8

    Registration of structurally dissimilar images in MRI-based brachytherapy by Berendsen, F F, Kotte, A N T J, de Leeuw, A A C, Jürgenliemk-Schulz, I M, Viergever, M A, Pluim, J P W

    Published in Physics in medicine & biology (07-08-2014)
    “…A serious challenge in image registration is the accurate alignment of two images in which a certain structure is present in only one of the two. Such…”
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    Journal Article
  9. 9

    Normalized mutual information based registration using k-means clustering and shading correction by Knops, Z.F., Maintz, J.B.A., Viergever, M.A., Pluim, J.P.W.

    Published in Medical image analysis (01-06-2006)
    “…In this paper the influence of intensity clustering and shading correction on mutual information based image registration is studied. Instead of the generally…”
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    Journal Article
  10. 10

    Registration of 2D x-ray images to 3D MRI by generating pseudo-CT data by van der Bom, M J, Pluim, J P W, Gounis, M J, van de Kraats, E B, Sprinkhuizen, S M, Timmer, J, Homan, R, Bartels, L W

    Published in Physics in medicine & biology (21-02-2011)
    “…Spatial and soft tissue information provided by magnetic resonance imaging can be very valuable during image-guided procedures, where usually only real-time…”
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    Journal Article
  11. 11

    Marker-controlled watershed segmentation of nuclei in H&E stained breast cancer biopsy images by Veta, M, Huisman, A, Viergever, M A, van Diest, P J, Pluim, J P W

    “…In this paper we present an unsupervised automatic method for segmentation of nuclei in H&E stained breast cancer biopsy images. Colour deconvolution and…”
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    Conference Proceeding
  12. 12

    Robust initialization of 2D-3D image registration using the projection-slice theorem and phase correlation by van der Bom, M. J., Bartels, L. W., Gounis, M. J., Homan, R., Timmer, J., Viergever, M. A., Pluim, J. P. W.

    Published in Medical physics (Lancaster) (01-04-2010)
    “…Purpose: The image registration literature comprises many methods for 2D-3D registration for which accuracy has been established in a variety of applications…”
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    Journal Article
  13. 13

    Multimodality infarct identification for optimal image-guided intramyocardial cell injections by van Slochteren, F. J., van Es, R., Koudstaal, S., van der Spoel, T. I. G., Sluijter, J. P. G., Verbree, J., Pruim, R. H. R., Pluim, J. P. W., Leiner, T., Doevendans, P. A., Chamuleau, S. A. J.

    Published in Netherlands heart journal (01-11-2014)
    “…Background Intramyocardial cell injections in the context of cardiac regenerative therapy can currently be performed using electromechanical mapping (EMM)…”
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    Journal Article
  14. 14

    Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases by Langerak, T. R., van der Heide, U. A., Kotte, A. N. T. J., Berendsen, F. F., van Vulpen, M., Pluim, J. P. W.

    “…Purpose Automated segmentation is required for radiotherapy treatment planning, and multi-atlas methods are frequently used for this purpose. The combination…”
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    Journal Article
  15. 15

    Local atlas selection and performance estimation in multi-atlas based segmentation by Langerak, T R, van der Heide, U A, Kotte, A N T J, Berendsen, F F, Pluim, J P W

    “…In multi-atlas based segmentation, a new image is segmented by registering multiple atlas images and propagating the corresponding atlas segmentations. These…”
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    Conference Proceeding
  16. 16

    Label fusion in multi-atlas based segmentation with user-defined local weights by Langerak, T R, van der Heide, U A, Kotte, A N T J, Berendsen, F F, Pluim, J P W

    “…Multi-atlas based segmentation is a popular method to automatically segment a target image, in which the correspondence to already segmented atlas images is…”
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    Conference Proceeding
  17. 17
  18. 18

    Mutual-information-based registration of medical images: a survey by Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.

    Published in IEEE transactions on medical imaging (01-08-2003)
    “…An overview is presented of the medical image processing literature on mutual-information-based registration. The aim of the survey is threefold: an…”
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    Journal Article
  19. 19

    Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images by Chandra, S. S., Dowling, J. A., Kai-Kai Shen, Raniga, P., Pluim, J. P. W., Greer, P. B., Salvado, O., Fripp, J.

    Published in IEEE transactions on medical imaging (01-10-2012)
    “…Accurate localization of the prostate and its surrounding tissue is essential in the treatment of prostate cancer. This paper presents a novel approach to…”
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    Journal Article
  20. 20

    Image registration by maximization of combined mutual information and gradient information by Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.

    Published in IEEE transactions on medical imaging (01-08-2000)
    “…Mutual information has developed into an accurate measure for rigid and affine monomodality and multimodality image registration. The robustness of the measure…”
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