Publications

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C. X. C. Tran, Wijnhoven, R. G. J., and de With, P. H. N., “Text Detection in Personal Image Collections”, in Proc. 29th International Conference on Consumer Electronics (ICCE), 2011, pp. 87-88.
K. Triantafyllidis, Bondarev, E., and de With, P. H. N., “Low-Level Profiling and MARTE-Compatible Modeling of Software Components for Real-Time Systems”, in Software Engineering and Advanced Applications (SEAA), 2012 38th EUROMICRO Conference on, 2012. (477.3 KB)
K. Triantafyllidis, Bondarev, E., and de With, P. H. N., “Performance analysis method for RT systems: Promartes for autonomous robot”, in Specification Design Languages (FDL), 2013 Forum on, 2013. (440.34 KB)
K. Triantafyllidis, Bondarev, E., and de With, P. H. N., “Guided Rule-Based Multi-objective Optimization for Real-Time Distributed Systems”, in Software Engineering and Advanced Applications (SEAA), 2015 41st Euromicro Conference on, 2015. (2.04 MB)
K. Triantafyllidis, Bondarev, E., and de With, P. H. N., “ProMARTES Toolkit for Cycle-accurate Performance Analysis of Real-Time Distributed Systems”, in Forum on Specification & Design Languages, 14-16 October 2014, Munich, Germany, 2014. (336.14 KB)
K. Triantafyllidis, Bondarev, E., and de With, P. H. N., “ProMARTES: Performance Analysis Method and Toolkit for Real-Time Systems”, in Languages, Design Methods, and Tools for Electronic System Design, vol. 311, Springer International Publishing, 2015, pp. 281-302. (1.52 MB)
K. Triantafyllidis, Bondarev, E., and de With, P. H. N., “Towards cycle-accurate performance predictions for real-time embedded systems”, in International Conference on Software Engineering Research and Practice SERP'13, Las Vegas, 2013. (278.86 KB)
K. Triantafyllidis, Aslam, W., Bondarev, E., Lukkien, J. J., and de With, P. H. N., “ProMARTES: Accurate network and computation delay prediction for component-based distributed systems”, Journal of Systems and Software, vol. 117, pp. 450 - 470, 2016. (3.35 MB)
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D. W. J. M. van de Wouw, Dubbelman, G., and de With, P. H. N., “Hierarchical 2.5-D Scene Alignment for Change Detection With Large Viewpoint Differences”, IEEE Robotics and Automation Letters, vol. 1, pp. 361-368, 2016. (5.52 MB)
D. W. J. M. van de Wouw, Sanberg, W. P., Dubbelman, G., and de With, P. H. N., “Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model”, in Int. Conf. on Computer Vision Theory and Applications (VISAPP), Funchal, Portugal, 2018. (1.25 MB)
D. W. J. M. van de Wouw, Haar, F. B. ter, Dubbelman, G., and de With, P. H. N., “Development and Analysis of a Real-Time System for Automated Detection of IED indicators from Ground Vehicles”, Journal of Electronic Imaging, Submitted.
D. W. J. M. van de Wouw, van Rens, K., van Lint, H., Jaspers, E. G. T., and de With, P. H. N., “Real-time change detection for countering improvised explosive devices”, 2014. (4.66 MB)
D. W. J. M. van de Wouw, Dubbelman, G., and de With, P. H. N., “On improving IED object detection by exploiting scene geometry using stereo processing”, in Proc. SPIE, San Francisco, 2015. (5.22 MB)
D. W. J. M. van de Wouw, Pieck, M. A. R., Dubbelman, G., and de With, P. H. N., “Real-time estimation of the 3D transformation between images with large viewpoint differences in cluttered environments”, in Electronic Imaging 2017, San Francisco, 2017. (7.62 MB)
S. van der Meer, Camps, S. M., van Elmpt, W. J. C., Podesta, M., Sanches, P. Gomes, Vanneste, B. G. L., Fontanarosa, D., and Verhaegen, F., “Simulation of pseudo-CT images based on deformable image registration of ultrasound images”, 2016.
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.
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, 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., 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, 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., “Supportive Automatic Annotation of Early Esophageal Cancer using Local Gabor and Color Features”, Neurocomputing, vol. 144, pp. 92-106, 2014.
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 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., 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, 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.