Publications

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J. A. Vijverberg, Koeleman, C. J., and de With, P. H. N., Tracking Rectangular Targets in Surveillance Videos with the GM-PHD Filter, in 30-th Symposium on Information Theory in the Benelux, 2009, pp. 177-184.
J. A. Vijverberg, Koeleman, C. J., and de With, P. H. N., Clustering of Tracklets for On-Line Multi-Target Tracking in Networked Camera Systems, in 2011 IEEE Symposium on Computational Intelligence for Security and Defense Applications, 2011, pp. 24-30.
J. A. Vijverberg and de With, P. H. N., Architecture exploration of an embedded multi-processor for video content analysis, in Proceedings ProRISC 2008, 2008, pp. 116-121.
J. A. Vijverberg and de With, P. H. N., Two-dimensional systolic-array architecture for pixel-level vision tasks, in Real-Time Image and Video Processing 2010, 2010, p. 772408.
J. A. Vijverberg and de With, P. H. N., Hardware Acceleration For Tracking By Computing Low-Order Geometrical Moments, in IEEE Workshop on Signal Processing Systems, 2008, pp. 43-48.
J. A. Vijverberg, Loomans, M. J. H., Koeleman, C. J., and de With, P. H. N., Two novel motion-based algorithms for surveillance video analysis on embedded platforms, in Real-Time Image and Video Processing 2010, 2010, p. 77240I.
J. A. Vijverberg, de Koning, N. A. H. M., Han, J., de With, P. H. N., and Cornelissen, D., High-Level Traffic-Violation Detection for Embedded Traffic Analysis, in IEEE Int. Conf. on Acoustics, Speech and Signal Processing, 2007, p. II-793-II-796.
J. A. Vijverberg, Loomans, M. J. H., Koeleman, C. J., and de With, P. H. N., Global Illumination Compensation for Background Subtraction Using Gaussian-based Background Difference Modeling, in Proceedings of the 6th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009, pp. 448-453.
S. van Riel, van de Wouw, D. W. J. M., and de With, P. H. N., Improved 3D Scene Modeling for Image Registration in Change Detection, in Electronic Imaging, Burlingame (CA), 2019. (5.78 MB)
J. S. Van Gastel, Zwemer, M. H., Wijnhoven, R. G. J., and de With, P. H. N., Occlusion-Robust Pedestrian Tracking in Crowded Scenes, in Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, Las Palmas, 2015. (1.27 MB)
N. C. van Dongen, van der Sommen, F., Zinger, S., Schoon, E. J., and de With, P. H. N., Automatic assessment of informative frames in endoscopic video, in IEEE International Symposium on Biomedical Imaging (ISBI), Prague, Czech Republic, 2016.
T. van der Zant, Schomaker, L., Zinger, S., and van Schie, H., Where are the Search Engines for Handwritten Documents?, in Interdisciplinary Science Reviews, 2009, pp. 224-235.
E. B. van der Tol and Jaspers, E. G. T., Mapping of MPEG-4 Decoding on a Flexible Architecture Platform, in Media Processors 2002, 2002, pp. 362-363.
E. B. van der Tol, Jaspers, E. G. T., and Gelderblom, R. H., Mapping of H.264 decoding on a multiprocessor architecture, in Image and Video Communications and Processing, 2003, pp. 707-718.
F. van der Sommen, Zinger, S., Schoon, E. J., and de With, P. H. N., Computer-Aided Delineation of Early Neoplasia in Barrett's Esophagus Using High Definition Endoscopic Images, in Digestive Disease Week (DDW), Orlando, FL, US, 2013.
F. van der Sommen, Zinger, S., Schoon, E. J., and de With, P. H. N., Sweet-spot training for early esophageal cancer detection, in SPIE Medical Imaging (SPIE 9785), 2016.
F. van der Sommen, Zinger, S., Schoon, E. J., and de With, P. H. N., Computer-Aided Detection of Early Cancer in the Esophagus using HD Endoscopy Images, in SPIE Medical Imaging (SPIE 8670), Lake Buena Vista, FL, US, 2013.
F. van der Sommen, Zinger, S., Curvers, W. L., Bisschops, R., Pech, O., Weusten, B. L. A. M., Bergman, J. J. G. H. M., de With, P. H. N., and Schoon, E. J., Computer-aided detection of early neoplastic lesions in Barrett’s esophagus, Endoscopy, 2016. (1.05 MB)
F. van der Sommen, Klomp, S. R., Swager, A. - F., Zinger, S., Curvers, W. L., Bergman, J. J. G. H. M., Schoon, E. J., and de With, P. H. N., Predictive features for early cancer detection in Barrett's esophagus using Volumetric Laser Endomicroscopy, Computerized Medical Imaging and Graphics, vol. 67, pp. 9–20, 2018.
F. van der Sommen, Zinger, S., and de With, P. H. N., Accurate biopsy-needle depth estimation in limited-angle tomography using multi-view geometry, in SPIE Medical Imaging (SPIE 9786), San Diego, CA, USA, 2016.
F. van der Sommen, Zinger, S., Schoon, E. J., and de With, P. H. N., Supportive Automatic Annotation of Early Esophageal Cancer using Local Gabor and Color Features, Neurocomputing, vol. 144, pp. 92-106, 2014.
F. van der Sommen, Curvers, W. L., and Nagengast, W. B., Novel developments in endoscopic mucosal imaging, Gastroenterology, vol. 154, pp. 1876–1886, 2018.
F. van der Sommen, Zinger, S., Schoon, E. J., and de With, P. H. N., Computer-Aided Detection of Early Neoplasia in the Esophagus using High Definition Endoscopic Images, in United European Gastroenterology Week (UEGW), Amsterdam, the Netherlands, 2012.
F. van der Sommen, Zinger, S., Schoon, E. J., and de With, P. H. N., Computer-aided detection of early neoplastic lesions in Barrett’s esophagus: towards a supportive detection system in endoscopy, in Digestive Disease Week (DDW), Chicago, IL, US, 2014.
J. A. van Der Putten, Zinger, S., van der Sommen, F., de With, P. H. N., Prokop, M., and Hermans, J., Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma, in Medical Imaging 2018: Computer-Aided Diagnosis, 2018.