Prof. Bram van Ginneken Profile

Prof. Bram van Ginneken

at Radboud Univ Medical Ctr

SPIE Involvement:

Author | Editor | Instructor

Publications (62)

SPIE Journal Paper | 28 May 2022 Open Access

Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation

Julia M. Noothout, Nikolas Lessmann, Matthijs Van Eede, Louis van Harten, Ecem Sogancioglu, Friso Heslinga, Mitko Veta, Bram van Ginneken, Ivana Išgum

JMI, Vol. 9, Issue 05, 052407, (May 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.5.052407

KEYWORDS: Network architectures, Image segmentation, Brain, Medical imaging, Magnetic resonance imaging, Convolutional neural networks, Neuroimaging, Performance modeling, Heart, Computed tomography

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SPIE Journal Paper | 29 March 2021

Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features

Marco Caballo, Andrew Hernandez, Su Hyun Lyu, Jonas Teuwen, Ritse Mann, Bram van Ginneken, John Boone, Ioannis Sechopoulos

JMI, Vol. 8, Issue 02, 024501, (March 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.2.024501

KEYWORDS: Computer aided diagnosis and therapy, Breast, Image segmentation, Feature extraction, Mammography, Computed tomography, Computing systems, 3D modeling, Solid modeling, 3D image processing

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Proceedings Article | 16 March 2020 Presentation + Paper

Feasibility of end-to-end trainable two-stage U-Net for detection of axillary lymph nodes in contrast-enhanced CT based on sparse annotations

Hidir Cem Altun, Grzegorz Chlebus, Colin Jacobs, Hans Meine, Bram van Ginneken, Horst Hahn

Proceedings Volume 11314, 113141C (2020) https://doi.org/10.1117/12.2551331

KEYWORDS: Lymphatic system, CAD systems, Computed tomography, Image segmentation, Computer-aided diagnosis, Convolutional neural networks

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Proceedings Article | 13 March 2019 Presentation + Paper

Handling label noise through model confidence and uncertainty: application to chest radiograph classification

Erdi Calli, Ecem Sogancioglu, Ernst Th. Scholten, Keelin Murphy, Bram van Ginneken

Proceedings Volume 10950, 1095016 (2019) https://doi.org/10.1117/12.2514290

KEYWORDS: Emphysema, Data modeling, Statistical modeling, Chest imaging, Error analysis, Monte Carlo methods, Image classification, Neural networks

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Proceedings Article | 2 March 2018 Paper

Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR

Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel

Proceedings Volume 10574, 105742U (2018) https://doi.org/10.1117/12.2293569

KEYWORDS: Image segmentation, Neural networks, Brain, Magnetic resonance imaging, Neuroimaging, Medical imaging, Image processing algorithms and systems, Network architectures, Brain diseases, Dementia

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Proceedings Article | 2 March 2018 Paper

Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images

Nikolas Lessmann, Bram van Ginneken, Ivana Išgum

Proceedings Volume 10574, 1057408 (2018) https://doi.org/10.1117/12.2292731

KEYWORDS: Image segmentation, Spine, Computed tomography, Convolutional neural networks, 3D image processing, Network architectures, Image processing, Image analysis, Machine learning

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SPIE Journal Paper | 14 December 2017

Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images

Babak Ehteshami Bejnordi, Guido Zuidhof, Maschenka Balkenhol, Meyke Hermsen, Peter Bult, Bram van Ginneken, Nico Karssemeijer, Geert Litjens, Jeroen van der Laak

JMI, Vol. 4, Issue 04, 044504, (December 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.4.044504

KEYWORDS: Binary data, Breast, Tissues, Image classification, Convolutional neural networks, Classification systems, Cancer, Diagnostics, Breast cancer, RGB color model

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Proceedings Article | 13 March 2017 Presentation + Paper

A step towards measuring the fetal head circumference with the use of obstetric ultrasound in a low resource setting

Thomas L. van den Heuvel, Hezkiel Petros, Stefano Santini, Chris de Korte, Bram van Ginneken

Proceedings Volume 10139, 101390V (2017) https://doi.org/10.1117/12.2253671

KEYWORDS: Fetus, Ultrasonography, Head, Biometrics, Abdomen, Skull, Medical imaging, CAD systems, Bone, Data acquisition

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Proceedings Article | 3 March 2017 Presentation + Paper

Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network

Ajay Patel, Sil van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing

Proceedings Volume 10134, 1013420 (2017) https://doi.org/10.1117/12.2254022

KEYWORDS: Convolutional neural networks, Image segmentation, Computed tomography, 3D image processing, Neural networks, Computer aided diagnosis and therapy, Computing systems, Pathology, Tissues, Head, Neck, Convolution

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Proceedings Article | 3 March 2017 Presentation + Paper

Organ detection in thorax abdomen CT using multi-label convolutional neural networks

Gabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, Colin Jacobs

Proceedings Volume 10134, 1013416 (2017) https://doi.org/10.1117/12.2254349

KEYWORDS: Convolutional neural networks, Computing systems, Neural networks, Computed tomography, Lung, Kidney, Spleen, Liver, Abdomen, Network architectures, Convolution, Machine learning

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Proceedings Article | 24 February 2017 Presentation + Paper

Fovea detection in optical coherence tomography using convolutional neural networks

Bart Liefers, Freerk Venhuizen, Thomas Theelen, Carel Hoyng, Bram van Ginneken, Clara Sánchez

Proceedings Volume 10133, 1013302 (2017) https://doi.org/10.1117/12.2254301

KEYWORDS: Fovea centralis, Convolutional neural networks, Databases, Optical coherence tomography, Neural networks, Optical tomography, Tomography, Image processing, Convolution, 3D image processing, Retina, Visualization, Network architectures

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Proceedings Article | 24 March 2016 Paper

Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT

Nikolas Lessmann, Ivana Išgum, Arnaud A. Setio, Bob de Vos, Francesco Ciompi, Pim de Jong, Matthjis Oudkerk, Willem P. Th. Mali, Max Viergever, Bram van Ginneken

Proceedings Volume 9785, 978511 (2016) https://doi.org/10.1117/12.2216978

KEYWORDS: Arteries, Neural networks, Convolutional neural networks, Calcium, Chest, Computed tomography, Lung cancer, Heart, Convolution, Chemical vapor deposition

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Proceedings Article | 20 March 2015 Paper

Automatic detection of spiculation of pulmonary nodules in computed tomography images

F. Ciompi, C. Jacobs, E. Scholten, S. van Riel, M. W. Wille, M. Prokop, B. van Ginneken

Proceedings Volume 9414, 941409 (2015) https://doi.org/10.1117/12.2081426

KEYWORDS: Lung cancer, Computed tomography, Spherical lenses, Optical spheres, Machine learning, Computer aided design, CAD systems, Fourier transforms, Computer programming, Visualization

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Proceedings Article | 20 March 2015 Paper

Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model

Arnaud Setio, Colin Jacobs, Francesco Ciompi, Sarah van Riel, Mathilde Winkler Wille, Asger Dirksen, Eva van Rikxoort, Bram van Ginneken

Proceedings Volume 9414, 94141O (2015) https://doi.org/10.1117/12.2080955

KEYWORDS: CAD systems, Lung cancer, Tumor growth modeling, Solid modeling, Computer aided diagnosis and therapy, Systems modeling, Computed tomography, Computer aided design, Cancer

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Proceedings Article | 20 March 2015 Paper

Automated age-related macular degeneration classification in OCT using unsupervised feature learning

Freerk Venhuizen, Bram van Ginneken, Bart Bloemen, Mark van Grinsven, Rick Philipsen, Carel Hoyng, Thomas Theelen, Clara Sánchez

Proceedings Volume 9414, 94141I (2015) https://doi.org/10.1117/12.2081521

KEYWORDS: Optical coherence tomography, Retina, Feature extraction, Image processing, Pathology, Eye, Image segmentation, Visualization, Principal component analysis, Receivers

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SPIE Journal Paper | 23 April 2014 Open Access

Influence of study design in receiver operating characteristics studies: sequential versus independent reading

Steven Schalekamp, Bram van Ginneken, Cornelia Schaefer-Prokop, Nico Karssemeijer

JMI, Vol. 1, Issue 01, 015501, (April 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.1.015501

KEYWORDS: Computer aided design, Radiography, Receivers, Chest imaging, Statistical analysis, Lung, Computer aided diagnosis and therapy, Control systems, Image processing, Computed tomography

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Proceedings Article | 20 March 2014 Paper

Multiple-instance learning for computer-aided detection of tuberculosis

J. Melendez, C. Sánchez, R. H. H. Philipsen, P. Maduskar, B. van Ginneken

Proceedings Volume 9035, 90351J (2014) https://doi.org/10.1117/12.2043018

KEYWORDS: CAD systems, Computer aided design, Lung, Chest imaging, Databases, Image segmentation, Diagnostics, Computer aided diagnosis and therapy, Pattern recognition

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Proceedings Article | 18 March 2014 Paper

Effect of image variation on computer-aided detection systems

S. Rabbani, P. Maduskar, R. H. H. Philipsen, L. Hogeweg, B. van Ginneken

Proceedings Volume 9035, 90352H (2014) https://doi.org/10.1117/12.2043520

KEYWORDS: CAD systems, Image segmentation, Lung, Computer aided diagnosis and therapy, Computing systems, Imaging systems, Medical imaging, Chest imaging, Sensors, Image processing

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Proceedings Article | 18 March 2014 Paper

Automated detection and quantification of micronodules in thoracic CT scans to identify subjects at risk for silicosis

C. Jacobs, S.H.T. Opdam, E. van Rikxoort, O. Mets, J. Rooyackers, P. de Jong, M. Prokop, B. van Ginneken

Proceedings Volume 9035, 90351I (2014) https://doi.org/10.1117/12.2043536

KEYWORDS: Computed tomography, CAD systems, Computer aided diagnosis and therapy, Lung, Databases, Current controlled current source, Computer aided design, Radiology, Silica, Lung cancer

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Proceedings Article | 29 March 2013 Paper

Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs

Pragnya Maduskar, Laurens Hogeweg, Rick Philipsen, Bram van Ginneken

Proceedings Volume 8670, 867038 (2013) https://doi.org/10.1117/12.2008239

KEYWORDS: Lung, Chest imaging, Image segmentation, Chest, Computer aided diagnosis and therapy, Diagnostics, Image analysis, Prototyping, Imaging systems, Image resolution

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Proceedings Article | 28 March 2013 Paper

Impact of bone suppression imaging on the detection of lung nodules in chest radiographs: analysis of multiple reading sessions

S. Schalekamp, B. van Ginneken, C. Schaefer-Prokop, N. Karssemeijer

Proceedings Volume 8673, 86730Y (2013) https://doi.org/10.1117/12.2002799

KEYWORDS: Chest imaging, Bone, Lung, Radiography, Computer aided design, Receivers, Computer aided diagnosis and therapy, Image processing, Control systems, Computed tomography

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Proceedings Article | 18 March 2013 Paper

Improved texture analysis for automatic detection of tuberculosis (TB) on chest radiographs with bone suppression images

Pragnya Maduskar, Laurens Hogeweg, Rick Philipsen, Steven Schalekamp, Bram van Ginneken

Proceedings Volume 8670, 86700H (2013) https://doi.org/10.1117/12.2008083

KEYWORDS: Chest imaging, CAD systems, Bone, Computer aided design, Computer aided diagnosis and therapy, Lung, Image segmentation, Prototyping, Image analysis, Diagnostics

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Proceedings Article | 18 March 2013 Paper

Normalization of CT scans reconstructed with different kernels to reduce variability in emphysema measurements

L. Gallardo Estrella, B. van Ginneken, E. van Rikxoort

Proceedings Volume 8670, 86700E (2013) https://doi.org/10.1117/12.2007962

KEYWORDS: Emphysema, Computed tomography, Lung, Chronic obstructive pulmonary disease, CT reconstruction, Databases, Reconstruction algorithms, Chest, Scanners, Image segmentation

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Proceedings Article | 18 March 2013 Paper

Automatic age-related macular degeneration detection and staging

Mark J. J. P. van Grinsven, Yara T. E. Lechanteur, Johannes P. H. van de Ven, Bram van Ginneken, Thomas Theelen, Clara Sánchez

Proceedings Volume 8670, 86700M (2013) https://doi.org/10.1117/12.2007563

KEYWORDS: Computer aided design, CAD systems, Image segmentation, Cameras, Medical imaging, Detection and tracking algorithms, Receivers, Retina, Feature extraction, Computer programming

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Proceedings Article | 13 March 2013 Paper

A pattern recognition framework for vessel segmentation in 4D CT of the brain

J. J. Mordang, M. T. Oei, R. van den Boom, E. Smit, M. Prokop, B. van Ginneken, R. Manniesing

Proceedings Volume 8669, 866919 (2013) https://doi.org/10.1117/12.2006824

KEYWORDS: Image segmentation, Tissues, Bone, 4D CT imaging, Computed tomography, Brain, Pattern recognition, Blood vessels, Arteries, Veins

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Proceedings Article | 13 March 2013 Paper

A hardware implementation of a levelset algorithm for carotid lumen segmentation in CTA

André van der Avoird, Ning Lin, Bram van Ginneken, Rashindra Manniesing

Proceedings Volume 8669, 86691V (2013) https://doi.org/10.1117/12.2007231

KEYWORDS: Field programmable gate arrays, Image segmentation, C++, Image processing algorithms and systems, Data processing, Medical imaging, Computed tomography, 3D image processing, Optical inspection, Shape analysis

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Proceedings Article | 28 February 2013 Paper

Normalization of chest radiographs

R.H.H.M. Philipsen, P. Maduskar, L. Hogeweg, B. van Ginneken

Proceedings Volume 8670, 86700G (2013) https://doi.org/10.1117/12.2008238

KEYWORDS: Image segmentation, Lung, Computer aided diagnosis and therapy, Chest imaging, CAD systems, Sensors, Chest, Radiography, Analog electronics, Databases

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Proceedings Article | 24 February 2012 Paper

Brain tissue segmentation in 4D CT using voxel classification

R. van den Boom, M. T. H. Oei, S. Lafebre, L. Oostveen, F. J. A. Meijer, S. C. Steens, M. Prokop, B. van Ginneken, R. Manniesing

Proceedings Volume 8314, 83144B (2012) https://doi.org/10.1117/12.911189

KEYWORDS: Image segmentation, Computed tomography, Bone, Toxic industrial chemicals, Brain, 4D CT imaging, 3D image reconstruction, 3D image processing, 3D acquisition, Tissues

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Proceedings Article | 23 February 2012 Paper

Automatic classication of pulmonary function in COPD patients using trachea analysis in chest CT scans

E. van Rikxoort, P. de Jong, O. Mets, B. van Ginneken

Proceedings Volume 8315, 83150P (2012) https://doi.org/10.1117/12.911603

KEYWORDS: Chronic obstructive pulmonary disease, Gold, Computed tomography, Pulmonary function tests, Emphysema, Chest, Lung, Wavefronts, Databases, Shape analysis

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Proceedings Article | 9 March 2011 Paper

Automatic localization of bifurcations and vessel crossings in digital fundus photographs using location regression

Meindert Niemeijer, Alina Dumitrescu, Bram van Ginneken, Michael Abrámoff

Proceedings Volume 7965, 796507 (2011) https://doi.org/10.1117/12.878364

KEYWORDS: Image segmentation, Retina, Digital photography, Feature extraction, Databases, Image filtering, Photography, Binary data, Anisotropic filtering, Gaussian filters

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Proceedings Article | 3 March 2011 Paper

Computer-aided detection as a decision assistant in chest radiography

Maurice Samulski, Peter Snoeren, Bram Platel, Bram van Ginneken, Laurens Hogeweg, Cornelia Schaefer-Prokop, Nico Karssemeijer

Proceedings Volume 7966, 796614 (2011) https://doi.org/10.1117/12.877968

KEYWORDS: Computer aided design, Computer aided diagnosis and therapy, Chest imaging, Chest, Radiography, CAD systems, Databases, Computing systems, Lung

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Background. Contrary to what may be expected, finding abnormalities in complex images like pulmonary nodules in chest radiographs is not dominated by time-consuming search strategies but by an almost immediate global interpretation. This was already known in the nineteen-seventies from experiments with briefly flashed chest radiographs. Later on, experiments with eye-trackers showed that abnormalities attracted the attention quite fast but often without further reader actions. Prolonging one's search seldom leads to newly found abnormalities and may even increase the chance of errors. The problem of reading chest radiographs is therefore not dominated by finding the abnormalities, but by interpreting them. Hypothesis. This suggests that readers could benefit from computer-aided detection (CAD) systems not so much by their ability to prompt potential abnormalities, but more from their ability to 'interpret' the potential abnormalities. In this paper, this hypothesis was investigated by an observer experiment. Experiment. In one condition, the traditional CAD condition, the most suspicious CAD locations were shown to the subjects, without telling them the levels of suspiciousness according to CAD. In the other condition, interactive CAD condition, levels of suspiciousness were given, but only when readers requested them at specified locations. These two conditions focus on decreasing search errors and decision errors, respectively. Results of reading without CAD were also recorded. Six subjects, all non-radiologists, read 223 chest radiographs in both conditions. CAD results were obtained from the OnGuard 5.0 system developed by Riverain Medical (Miamisburg, Ohio). Results. The observer data were analyzed by Location Response Operating Characteristic analysis (LROC). It was found that: 1) With the aid of CAD, the performance is significantly better than without CAD; 2) The performance with interactive CAD is significantly better than with traditional CAD at low false positive rates.

Proceedings Article | 13 March 2010 Paper

Noise filtering in thin-slice 4D cerebral CT perfusion scans

Adriënne Mendrik, Evert-jan Vonken, Jan-Willem Dankbaar, Mathias Prokop, Bram van Ginneken

Proceedings Volume 7623, 76230N (2010) https://doi.org/10.1117/12.843813

KEYWORDS: Image filtering, Computed tomography, Denoising, Visibility, Image quality, Angiography, Analytical research, 3D image processing, Optical filters, Medical imaging

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Proceedings Article | 9 March 2010 Paper

Rib suppression in chest radiographs to improve classification of textural abnormalities

Laurens Hogeweg, Christian Mol, Pim de Jong, Bram van Ginneken

Proceedings Volume 7624, 76240Y (2010) https://doi.org/10.1117/12.844409

KEYWORDS: Chest imaging, Computer aided diagnosis and therapy, CAD systems, Solid modeling, Medical imaging, Current controlled current source, Image segmentation, Statistical modeling, Image filtering, Gaussian filters

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Proceedings Article | 9 March 2010 Paper

Interactive annotation of textures in thoracic CT scans

Thessa T. J. Kockelkorn, Pim de Jong, Hester Gietema, Jan Grutters, Mathias Prokop, Bram van Ginneken

Proceedings Volume 7624, 76240X (2010) https://doi.org/10.1117/12.844932

KEYWORDS: Lung, Computed tomography, Stereolithography, Clinical research, Tissues, Inspection, Image segmentation, Matrices, Classification systems, Spherical lenses

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Proceedings Article | 9 March 2010 Paper

Automatic coronary calcium scoring in low-dose non-ECG-synchronized thoracic CT scans

Ivana Isgum, Mathias Prokop, Peter Jacobs, Martijn Gondrie, Willem P. Th. Mali, Max Viergever, Bram van Ginneken

Proceedings Volume 7624, 76240M (2010) https://doi.org/10.1117/12.840514

KEYWORDS: Calcium, Arteries, Computed tomography, Lung cancer, Image registration, Heart, Feature selection, Pattern recognition, Visualization, Image segmentation

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Proceedings Article | 9 March 2010 Paper

Automatic determination of the artery-vein ratio in retinal images

Meindert Niemeijer, Bram van Ginneken, Michael Abràmoff

Proceedings Volume 7624, 76240I (2010) https://doi.org/10.1117/12.844469

KEYWORDS: Veins, Arteries, Image segmentation, Digital photography, Gaussian filters, Photography, Feature extraction, Image resolution, Retina, Image classification

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Proceedings Article | 27 March 2009 Paper

Registration of 3D spectral OCT volumes using 3D SIFT feature point matching

Meindert Niemeijer, Mona Garvin, Kyungmoo Lee, Bram van Ginneken, Michael Abràmoff, Milan Sonka

Proceedings Volume 7259, 72591I (2009) https://doi.org/10.1117/12.811906

KEYWORDS: Optical coherence tomography, Image registration, 3D image processing, Retina, Image segmentation, 3D scanning, 3D acquisition, Eye, Rigid registration, Optic nerve

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Proceedings Article | 27 March 2009 Paper

Segmentation of arteries and veins on 4D CT perfusion scans for constructing arteriograms and venograms

Adriënne Mendrik, Evert-jan Vonken, Annet Waaijer, Ewoud Smit, Mathias Prokop, Bram van Ginneken

Proceedings Volume 7259, 72590Z (2009) https://doi.org/10.1117/12.812135

KEYWORDS: Arteries, Veins, Image segmentation, Computed tomography, Bone, 4D CT imaging, Skull, 3D image processing, Angiography, Cerebrovascular diseases

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Proceedings Article | 27 March 2009 Paper

Automatic detection of registration errors for quality assessment in medical image registration

Sascha E. Muenzing, Keelin Murphy, Bram van Ginneken, Josien P. Pluim

Proceedings Volume 7259, 72590K (2009) https://doi.org/10.1117/12.812659

KEYWORDS: Image registration, Lung, Medical imaging, Image quality, Feature extraction, Error analysis, Image analysis, Distance measurement, Computed tomography, Pattern recognition

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Proceedings Article | 3 March 2009 Paper

Active learning approach for detection of hard exudates, cotton wool spots, and drusen in retinal images

Clara Sánchez, Meindert Niemeijer, Thessa Kockelkorn, Michael Abràmoff, Bram van Ginneken

Proceedings Volume 7260, 72601I (2009) https://doi.org/10.1117/12.813679

KEYWORDS: Visualization, Computer aided diagnosis and therapy, CAD systems, Computer aided design, Machine learning, Image filtering, Feature selection, Computing systems, Image processing, Classification systems

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Proceedings Article | 28 February 2009 Paper

Automatic classification of retinal vessels into arteries and veins

Meindert Niemeijer, Bram van Ginneken, Michael Abràmoff

Proceedings Volume 7260, 72601F (2009) https://doi.org/10.1117/12.813826

KEYWORDS: Veins, Arteries, Image segmentation, Visualization, Feature extraction, Databases, Feature selection, Photography, Receivers, Gaussian filters

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Proceedings Article | 28 February 2009 Paper

A linking framework for pixel classification based retinal vessel segmentation

Meindert Niemeijer, Bram van Ginneken, Michael Abràmoff

Proceedings Volume 7262, 726216 (2009) https://doi.org/10.1117/12.811653

KEYWORDS: Image segmentation, Binary data, Visualization, Feature extraction, Photography, Databases, Computer programming, Digital photography, Algorithm development, Computer engineering

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Proceedings Article | 27 February 2009 Paper

Fast murine airway segmentation and reconstruction in micro-CT images

Xabier Artaechevarria, Arrate Muñoz-Barrutia, Bram van Ginneken, Carlos Ortiz-de-Solórzano

Proceedings Volume 7262, 72620B (2009) https://doi.org/10.1117/12.811554

KEYWORDS: Image segmentation, Lung, Reconstruction algorithms, Wavefronts, Wave propagation, Image processing algorithms and systems, Computed tomography, In vivo imaging, Signal to noise ratio, Image analysis

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Proceedings Article | 19 March 2008 Paper

Vessel segmentation in 3D spectral OCT scans of the retina

Meindert Niemeijer, Mona Garvin, Bram van Ginneken, Milan Sonka, Michael Abràmoff

Proceedings Volume 6914, 69141R (2008) https://doi.org/10.1117/12.772680

KEYWORDS: Image segmentation, Optical coherence tomography, Retina, 3D scanning, 3D image processing, Optic nerve, Head, Image classification, Image processing algorithms and systems, Eye

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Proceedings Article | 19 March 2008 Paper

Integrating local voxel classification and global shape models for medical image segmentation

Eva van Rikxoort, Marleen de Bruijne, Bram van Ginneken

Proceedings Volume 6914, 69144J (2008) https://doi.org/10.1117/12.773209

KEYWORDS: Image segmentation, Lung, Data modeling, 3D modeling, Principal component analysis, Classification systems, Medical imaging, Image classification, Vector spaces, Binary data

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Proceedings Article | 17 March 2008 Paper

Automated detection of nodules attached to the pleural and mediastinal surface in low-dose CT scans

Bram van Ginneken, Andre Tan, Keelin Murphy, Bart-Jan de Hoop, Mathias Prokop

Proceedings Volume 6915, 69150X (2008) https://doi.org/10.1117/12.772298

KEYWORDS: Lung, Image segmentation, Computed tomography, Lung cancer, Algorithm development, Computer aided diagnosis and therapy, Blood vessels, Cancer, Computer aided design, Spherical lenses

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Proceedings Article | 11 March 2008 Paper

Adaptive local multi-atlas segmentation: application to heart segmentation in chest CT scans

Eva van Rikxoort, Ivana Isgum, Marius Staring, Stefan Klein, Bram van Ginneken

Proceedings Volume 6914, 691407 (2008) https://doi.org/10.1117/12.772301

KEYWORDS: Image segmentation, Image registration, Heart, Argon, Computed tomography, Chest, Image fusion, Medical imaging, Image processing, Stochastic processes

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Proceedings Article | 29 March 2007 Paper

Automated detection of pulmonary nodules from low-dose computed tomography scans using a two-stage classification system based on local image features

K. Murphy, A. Schilham, H. Gietema, M. Prokop, B. van Ginneken

Proceedings Volume 6514, 651410 (2007) https://doi.org/10.1117/12.713370

KEYWORDS: Lung, Computed tomography, Spherical lenses, Lung cancer, Optical spheres, Computer aided diagnosis and therapy, Classification systems, Colorectal cancer, Pancreatic cancer, Image segmentation

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Proceedings Article | 15 March 2006 Paper

Simulating nodules in chest radiographs with real nodules from multi-slice CT images

Arnold Schilham, Bram van Ginneken

Proceedings Volume 6144, 614456 (2006) https://doi.org/10.1117/12.651623

KEYWORDS: Radiography, X-ray computed tomography, Chest imaging, Databases, Lung cancer, Image segmentation, X-rays, Lung, Cancer, Computed tomography

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Proceedings Article | 15 March 2006 Paper

Improving computer-aided diagnosis of interstitial disease in chest radiographs by combining one-class and two-class classifiers

Yulia Arzhaeva, David Tax, Bram van Ginneken

Proceedings Volume 6144, 614458 (2006) https://doi.org/10.1117/12.652208

KEYWORDS: Lung, Image classification, Chest imaging, Data modeling, Computer aided diagnosis and therapy, Radiography, Statistical analysis, Standards development, Receivers, Classification systems

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Proceedings Article | 10 March 2006 Paper

A pattern recognition approach to enhancing structures in 3D CT data

Eva van Rikxoort, Bram van Ginneken

Proceedings Volume 6144, 61441O (2006) https://doi.org/10.1117/12.651138

KEYWORDS: 3D image processing, Lung, Pattern recognition, 3D image enhancement, Computed tomography, Image enhancement, Image segmentation, Medical imaging, Chest, Image processing

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Proceedings Article | 29 April 2005 Paper

Local noise reduction for emphysema scoring in low-dose CT images

Arnold Schilham, Mathias Prokop, Hester Gietema, Bram van Ginneken

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595774

KEYWORDS: Emphysema, Image filtering, Computed tomography, Filtering (signal processing), Lung, Denoising, Optical filters, Image processing, Digital filtering, Visualization

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Proceedings Article | 12 May 2004 Paper

Comparative study of retinal vessel segmentation methods on a new publicly available database

Meindert Niemeijer, Joes Staal, Bram van Ginneken, Marco Loog, Michael Abramoff

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535349

KEYWORDS: Image segmentation, Databases, Gold, Binary data, Medical imaging, Image processing algorithms and systems, Pathology, Optical discs, Eye, Digital imaging

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Proceedings Article | 12 May 2004 Paper

Lung field segmentation from thin-slice CT scans in presence of severe pathology

Ingrid Sluimer, Meindert Niemeijer, Bram van Ginneken

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535312

KEYWORDS: Lung, Image segmentation, Pathology, Computed tomography, Image registration, Image processing algorithms and systems, Tissues, Image processing, Scanners, Medical imaging

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Proceedings Article | 6 May 2004 Paper

Detection of interstitial lung disease in PA chest radiographs

Marco Loog, Bram van Ginneken, Mads Nielsen

Proceedings Volume 5368, (2004) https://doi.org/10.1117/12.535307

KEYWORDS: Lung, Chest imaging, Image fusion, Image segmentation, Radiography, Medical imaging, Signal detection, Databases, Receivers, Pattern recognition

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Proceedings Article | 15 May 2003 Paper

Interactive shape models

Bram van Ginneken, Marleen de Bruijne, Marco Loog, Max Viergever

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.480165

KEYWORDS: Image segmentation, Lung, Medical imaging, Radiography, Data modeling, Chest imaging, Computer programming, Mahalanobis distance, Image resolution, Shape analysis

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Proceedings Article | 15 May 2003 Paper

Segmenting the posterior ribs in chest radiographs by iterated contextual pixel classification

Marco Loog, Bram van Ginneken, Max Viergever

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.480862

KEYWORDS: Image segmentation, Radiography, Lung, Chest imaging, Statistical analysis, Image classification, Visibility, Computer aided diagnosis and therapy, Pattern recognition, Image processing algorithms and systems

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Proceedings Article | 15 May 2003 Paper

Assessing the skeletal age from a hand radiograph: automating the Tanner-Whitehouse method

Meindert Niemeijer, Bram van Ginneken, Casper Maas, Frederik Beek, Max Viergever

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.480163

KEYWORDS: Image segmentation, Bone, Radiography, Computing systems, Image processing algorithms and systems, Medical imaging, Radiology, Feature extraction, Databases, Image analysis

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Proceedings Article | 15 May 2003 Paper

Model-based segmentation of abdominal aortic aneurysms in CTA images

Marleen de Bruijne, Bram van Ginneken, Wiro Niessen, Marco Loog, Max Viergever

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481367

KEYWORDS: Image segmentation, 3D modeling, Data modeling, Statistical modeling, Mahalanobis distance, Shape analysis, Statistical analysis, Image resolution, Surgery, Performance modeling

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Proceedings Article | 9 May 2002 Paper

Active-shape-model-based segmentation of abdominal aortic aneurysms in CTA images

Marleen de Bruijne, Bram van Ginneken, Wiro Niessen, J. B. Antoine Maintz, Max Viergever

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467188

KEYWORDS: Image segmentation, 3D modeling, Data modeling, Tissues, Statistical modeling, Modeling, Solids, Image resolution, Performance modeling, Computed tomography

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Proceedings Article | 6 June 2000 Paper

Automatic delineation of ribs in frontal chest radiographs

Bram van Ginneken, Bart ter Haar Romeny

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387746

KEYWORDS: Lung, Image segmentation, Chest imaging, Chest, Statistical modeling, Principal component analysis, Statistical analysis, Data modeling, Edge detection, Visual process modeling

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Proceedings Article | 19 January 1996 Paper

Surface BRDF and texture of bricks

Marigo Stavridi, Bram van Ginneken, Jan Koenderink

Proceedings Volume 2599, (1996) https://doi.org/10.1117/12.230398

KEYWORDS: Reflection, Bidirectional reflectance transmission function, Data modeling, Surface roughness, Reflectivity, Diffuse reflectance spectroscopy, Light sources, Cameras, Visual analytics, Visualization

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Showing 5 of 62 publications

Proceedings Volume Editor (2)

SPIE Conference Volume | 13 April 2012

Medical Imaging 2012: Computer-Aided Diagnosis

SPIE Conference Volume | 4 March 2011

Medical Imaging 2011: Computer-Aided Diagnosis

Conference Committee Involvement (18)

Computer-Aided Diagnosis

17 February 2019 | San Diego, California, United States

Computer-Aided Diagnosis

12 February 2018 | Houston, Texas, United States

Computer-Aided Diagnosis

13 February 2017 | Orlando, Florida, United States

Computer-Aided Diagnosis Posters

13 February 2017 | Orlando, FL, United States

Computer-Aided Diagnosis

28 February 2016 | San Diego, California, United States

Computer-Aided Diagnosis

22 February 2015 | Orlando, Florida, United States

Computer-Aided Diagnosis

18 February 2014 | San Diego, California, United States

Computer-Aided Diagnosis

12 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States

Computer-Aided Diagnosis

7 February 2012 | San Diego, California, United States

Computer-Aided Diagnosis

15 February 2011 | Lake Buena Vista (Orlando), Florida, United States

Computer-Aided Diagnosis

16 February 2010 | San Diego, California, United States

Image Processing

14 February 2010 | San Diego, California, United States

Computer-Aided Diagnosis

10 February 2009 | Lake Buena Vista (Orlando Area), Florida, United States

Computer-Aided Diagnosis

19 February 2008 | San Diego, California, United States

Image Processing

17 February 2008 | San Diego, California, United States

Computer-Aided Diagnosis

20 February 2007 | San Diego, CA, United States

Image Processing

18 February 2007 | San Diego, CA, United States

Image Processing

13 February 2006 | San Diego, California, United States

Showing 5 of 18 Conference Committees

Course Instructor

SC882: Computer-Aided Diagnosis

The interpretation of medical images is expected to benefit from computer technology with advances in CAD. Computer-aided diagnosis (CAD) can be defined as a diagnosis made by a radiologist who uses the output from a computerized analysis of medical images as a second opinion in detecting lesions and in making diagnostic decisions. The final diagnosis is made by the radiologist. Rationale, computerized image analysis methods, evaluation methods, and translational clinical studies of CAD in the detection, diagnosis, and risk assessment of cancer will be reviewed. Specific examples will be presented in breast imaging, thoracic imaging, and colonography.

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