Bram van Ginneken

发表

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

Marleen de Bruijne, Eva M. van Rikxoort, Bram van Ginneken, 2008, SPIE Medical Imaging.

Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

Hans Meine, Jan Hendrik Moltz, Bram van Ginneken, 2018, Scientific Reports.

A 4D digital phantom for patient-specific simulation of brain CT perfusion protocols.

Bram van Ginneken, Rieneke van den Boom, Rashindra Manniesing, 2014, Medical physics.

Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries.

Bram van Ginneken, Hezkiel Petros, Stefano Santini, 2019, Ultrasound in medicine & biology.

Iterative Augmentation of Visual Evidence for Weakly-Supervised Lesion Localization in Deep Interpretability Frameworks: Application to Color Fundus Images

Clara I. Sánchez, Bram van Ginneken, Cristina González-Gonzalo, 2019, IEEE Transactions on Medical Imaging.

Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach.

Thomas Theelen, Leonard Witkamp, Bram van Ginneken, 2016, Biomedical optics express.

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

Hans Meine, Horst K. Hahn, Bram van Ginneken, 2020, Medical Imaging.

Automatic detection of the foveal center in optical coherence tomography.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2017, Biomedical optics express.

Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system

Rick H. H. M. Philipsen, Bram van Ginneken, Aamir Khan, 2020, Scientific Reports.

Efficient organ localization using multi-label convolutional neural networks in thorax-abdomen CT scans

Bram van Ginneken, Colin Jacobs, Arnaud Arindra Adiyoso Setio, 2018, Physics in medicine and biology.

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

Bram van Ginneken, Eva van Rikxoort, 2006, SPIE Medical Imaging.

Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections

Hans Meine, Bram van Ginneken, Grzegorz Chlebus, 2019, PloS one.

Anniversary Paper: Image processing and manipulation through the pages ofMedical Physics.

Bram van Ginneken, Samuel G Armato, S. Armato, 2008, Medical physics.

Surface BRDF and texture of bricks

Jan J. Koenderink, Bram van Ginneken, Marigo Stavridi, 1996, Other Conferences.

Detection of interstitial lung disease in PA chest radiographs

Mads Nielsen, Bram van Ginneken, Marco Loog, 2004, SPIE Medical Imaging.

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

Nico Karssemeijer, Bram van Ginneken, Steven Schalekamp, 2014, Journal of medical imaging.

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Bram van Ginneken, Péter Bándi, Jeroen van der Laak, 2019, PeerJ.

Automatic drusen quantification and risk assessment of age-related macular degeneration on color fundus images.

Thomas Theelen, Bram van Ginneken, Clara I Sánchez, 2013, Investigative ophthalmology & visual science.

Computer-aided detection as a decision assistant in chest radiography

Nico Karssemeijer, Laurens Hogeweg, Peter R. Snoeren, 2011, Medical Imaging.

From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Shaoqun Zeng, Jörg Franke, Fabian Both, 2019, IEEE Transactions on Medical Imaging.

Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-Contrast CT From Spatiotemporal 4D CT

Bram van Ginneken, Rashindra Manniesing, Mathias Prokop, 2020, IEEE Transactions on Medical Imaging.

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

Chris L. de Korte, Bram van Ginneken, Hezkiel Petros, 2017, Medical Imaging.

Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2018, Nature Communications.

White Matter and Gray Matter Segmentation in 4D Computed Tomography

Bram Platel, Bram van Ginneken, Mathias Prokop, 2017, Scientific Reports.

Automatic detection of large pulmonary solid nodules in thoracic CT images.

Bram van Ginneken, Colin Jacobs, Jaap Gelderblom, 2015, Medical physics.

Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2018, Biomedical optics express.

A linking framework for pixel classification based retinal vessel segmentation

Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken, 2009, Medical Imaging.

Automatic identification of reticular pseudodrusen using multimodal retinal image analysis.

Thomas Theelen, Bram van Ginneken, Gabriëlle H S Buitendijk, 2015, Investigative ophthalmology & visual science.

Fast murine airway segmentation and reconstruction in micro-CT images

Bram van Ginneken, Xabier Artaechevarria, Carlos Ortiz-de-Solórzano, 2009, Medical Imaging.

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2019, Nature Communications.

Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans

Bram van Ginneken, Colin Jacobs, Jean-Paul Charbonnier, 2020, IEEE Transactions on Medical Imaging.

Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks.

Thomas Theelen, Bram van Ginneken, Bart Liefers, 2017, Biomedical optics express.

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

Meindert Niemeijer, Bram van Ginneken, Michael D. Abrámoff, 2011, Medical Imaging.

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions

Max A. Viergever, Nikolas Lessmann, Bram van Ginneken, 2017, IEEE Transactions on Medical Imaging.

Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs.

Bram van Ginneken, Steven Schalekamp, Eric Postma, 2021, Radiology. Artificial intelligence.

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

John M. Boone, Ioannis Sechopoulos, Bram van Ginneken, 2021, Journal of medical imaging.

Google’s lung cancer AI: a promising tool that needs further validation

Bram van Ginneken, Colin Jacobs, B. van Ginneken, 2019, Nature Reviews Clinical Oncology.

Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography.

Yulia Arzhaeva, Bram van Ginneken, Mathias Prokop, 2007, Medical physics.

Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning

Bram van Ginneken, B. van Ginneken, 2017, Radiological Physics and Technology.

Automated segmentation of pulmonary structures in thoracic computed tomography scans: a review

Bram van Ginneken, Eva M van Rikxoort, B. van Ginneken, 2013, Physics in medicine and biology.

Supervised probabilistic segmentation of pulmonary nodules in CT scans.

Bram van Ginneken, 2006, Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention.

Fast and effective quantification of symmetry in medical images for pathology detection: Application to chest radiography

Pragnya Maduskar, Laurens Hogeweg, Bram van Ginneken, 2017, Medical physics.

Timing-Invariant Imaging of Collateral Vessels in Acute Ischemic Stroke

Bram van Ginneken, Mathias Prokop, Irene C van der Schaaf, 2013, Stroke.

Automatic segmentation of intracranial arteries and veins in four-dimensional cerebral CT perfusion scans.

Evert-Jan Vonken, Adriënne Mendrik, Bram van Ginneken, 2010, Medical physics.

Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children

Rick H. H. M. Philipsen, Bram van Ginneken, Jaime Melendez, 2020, Pediatric Radiology.

Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography.

Yulia Arzhaeva, Bram van Ginneken, Mathias Prokop, 2007, Medical physics.

Normalized emphysema scores on low dose CT: Validation as an imaging biomarker for mortality

Leticia Gallardo-Estrella, Bram van Ginneken, Colin Jacobs, 2017, PloS one.

Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database

Bram van Ginneken, Colin Jacobs, Mathias Prokop, 2015, European Radiology.

Malignancy risk estimation of pulmonary nodules in screening CTs: Comparison between a computer model and human observers

Bram van Ginneken, Mathias Prokop, Asger Dirksen, 2017, PloS one.

Comparing coronary artery calcium and thoracic aorta calcium for prediction of all-cause mortality and cardiovascular events on low-dose non-gated computed tomography in a high-risk population of heavy smokers.

Harry J de Koning, Bram van Ginneken, Mathias Prokop, 2010, Atherosclerosis.

Automated estimation of progression of interstitial lung disease in CT images.

Yulia Arzhaeva, Bram van Ginneken, Mathias Prokop, 2009, Medical physics.

Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

Nico Karssemeijer, Andrew H. Beck, Donald L. Weaver, 2018, Modern Pathology.

Image Subtraction Facilitates Assessment of Volume and Density Change in Ground-Glass Opacities in Chest CT

Marius Staring, Josien P W Pluim, Bram van Ginneken, 2009, Investigative radiology.

Interactive lung segmentation in abnormal human and animal chest CT scans.

Arrate Muñoz-Barrutia, Bram van Ginneken, Max A Viergever, 2014, Medical physics.

Automatic detection of calcifications in the aorta from CT scans of the abdomen. 3D computer-aided diagnosis.

Bram van Ginneken, Ivana Isgum, Marco Olree, 2004, Academic radiology.

Monitoring of smoking-induced emphysema with CT in a lung cancer screening setting: detection of real increase in extent of emphysema.

Bram van Ginneken, Mathias Prokop, B. van Ginneken, 2007, Radiology.

A 4D CT digital phantom of an individual human brain for perfusion analysis

Christoph Brune, Bram van Ginneken, Mathias Prokop, 2016, PeerJ.

Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification

Philip F. Judy, Leticia Gallardo-Estrella, Eva M. van Rikxoort, 2015, European Radiology.

Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management.

Bram van Ginneken, Colin Jacobs, Mathias Prokop, 2015, Radiology.

Quantitative Dose Dependency Analysis of Whole-Brain CT Perfusion Imaging.

Bram van Ginneken, Mathias Prokop, Rashindra Manniesing, 2016, Radiology.

Computer-aided Detection of Lung Cancer on Chest Radiographs: Effect on Observer Performance

Bram van Ginneken, Mathias Prokop, Cornelia Schaefer-Prokop, 2012 .

Long‐Term Active Surveillance of Screening Detected Subsolid Nodules is a Safe Strategy to Reduce Overtreatment

Bram van Ginneken, Colin Jacobs, Mathias Prokop, 2018, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Computer-aided diagnosis in chest radiography: beyond nodules.

Laurens Hogeweg, Bram van Ginneken, Mathias Prokop, 2009, European journal of radiology.

Coronary artery calcification scoring in low-dose ungated CT screening for lung cancer: interscan agreement.

Bram van Ginneken, Mathias Prokop, Ivana Isgum, 2010, AJR. American journal of roentgenology.

CO-RADS – A categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation

Bram van Ginneken, Mathias Prokop, Monique Brink, 2020, Radiology.

Bone Suppression Increases the Visibility of Invasive Pulmonary Aspergillosis in Chest Radiographs

Nico Karssemeijer, Bram van Ginneken, Steven Schalekamp, 2014, PloS one.

CT-quantified emphysema in male heavy smokers: association with lung function decline

Bram van Ginneken, Mathias Prokop, Dirkje S Postma, 2011, Thorax.

Automated classification of hyperlucency, fibrosis, ground glass, solid, and focal lesions in high-resolution CT of the lung.

Bram van Ginneken, Mathias Prokop, Ieneke Hartmann, 2006, Medical physics.