Publications

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Submitted
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.
2019
S. R. Klomp, van de Wouw, D. W. J. M., and de With, P. H. N., “ECDNet: Efficient Siamese Convolutional Network for Real-Time Small Object Change Detection from Ground Vehicles”, in Electronic Imaging, Burlingame (CA), 2019. (440.88 KB)
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)
2018
P. P. J. H. Langenhuizen, Legters, M. J. W., Zinger, S., Verheul, H. B., Leenstra, S., and de With, P. H. N., “MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma”, in SPIE Medical Imaging, 2018: Computer-Aided Diagnosis, 2018.
2017
S. M. Camps, Verhaegen, F., PaivaFonesca, G., de With, P. H. N., and Fontanarosa, D., “Automatic transperineal ultrasound probe positioning based on CT scan for image guided radiotherapy”, in SPIE medical imaging, 2017.
A. -fré Swager, van der Sommen, F., Klomp, S. R., Zinger, S., Schoon, E. J., Bergman, J. J. G. H. M., de With, P. H. N., and Curvers, W. L., “Computer-aided detection of early Barrett’s neoplasia using volumetric laser endomicroscopy”, Gastrointestinal Endoscopy, vol. 86, no. 5, 2017.
P. P. J. H. Langenhuizen, Zinger, S., Hanssens, P., Kunst, H., Mulder, J., Leenstra, S., de With, P. H. N., and Verheul, H. B., “Correlation between pre-treatment growth rate and tumor control of vestibular schwannomas after gamma knife radiosurgery in the dutch database”, in 13th International Stereotactic Radiosurgery Society Congress, Montreux, Switzerland, 2017.
S. M. Camps, Verhaegen, F., de With, P. H. N., and Fontanarosa, D., “CT based prostate cancer patient-specific transperineal ultrasound probe setups for image guided radiotherapy”, in IEEE International Ultrasonics Symposium, 2017.
S. R. Klomp, van der Sommen, F., Swager, A. -fré, Zinger, S., Schoon, E. J., Curvers, W. L., Bergman, J. J. G. H. M., and de With, P. H. N., “Evaluation of image features and classiffication methods for Barrett's cancer detection using VLE imaging”, in Proc. SPIE 10134, Medical Imaging 2017, Computer-Aided Diagnosis, Orlando, FL, USA, 2017.
S. Javanbakhti, Zinger, S., and de With, P. H. N., “Fast scene analysis for surveillance & video databases”, IEEE Transactions on Consumer Electronics, 2017.
S. Javanbakhti, Zinger, S., and de With, P. H. N., “Fast semantic region analysis for surveillance & video databases”, in IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, 2017. (352.54 KB)
W. P. Sanberg, Dubbelman, G., and de With, P. H. N., “Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks”, in IS&T Electronic Imaging - Autonomous Vehicles and Machines (EI-AVM), Burlingame, USA, 2017. (2.36 MB)
A. Rikos, van der Sommen, F., Swager, A. -fré, Zinger, S., Schoon, E. J., Curvers, W. L., Bergman, J. J. G. H. M., and de With, P. H. N., “Improved Barrett's Cancer Detection in Volumetric Laser Endomicroscopy scans using Multiple-Frame Voting”, in Proc. IEEE int'l conf. Computer-Based Medical Systems (CBMS), Thessaloniki, Greece, 2017.
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)
A. Ghahremani, “Self-learning framework with temporal filtering for robust maritime vessel detection”, in RFMI, 2017. (7.27 MB)
M. H. Zwemer, Brouwers, G. M. Y. E., Wijnhoven, R. G. J., and de With, P. H. N., “Semi-automatic Training of a Vehicle Make and Model Recognition System”, in Image Analysis and Processing - ICIAP 2017 : 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II, Cham: Springer International Publishing, 2017, pp. 321–332. (7.09 MB)
P. P. J. H. Langenhuizen, Zeng, Y., Zinger, S., Verheul, H. B., Leenstra, S., and de With, P. H. N., “Treatment delineation impact on Gamma Knife radiosurgical response of vestibular schwannoma”, in 2017 Symposium on Information Theory and Signal Processing in the Benelux, Delft, 2017.
A. Ghahremani, Bondarev, E., and de With, P. H. N., “Water Region Extraction in Thermal and RGB Sequences Using Spatiotemporally-Oriented Energy Features”, in IS&T Electronic Imaging - Algorithms and Systems, 2017. (9.89 MB)
2016
R. W. J. J. Saeijs, Tjon a Ten, W. E., and de With, P. H. N., “3D Face Tracking for Infant Monitoring Using Dense HOG and Drift Reduction”, in the Netherlands Conference on Computer Vision (NCCV), Lunteren, 2016. (778.86 KB)
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.
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.
G. M. Y. E. Brouwers, Zwemer, M. H., Wijnhoven, R. G. J., and de With, P. H. N., “Automatic Calibration of Stationary Surveillance Cameras in the Wild”, in Computer Vision – ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part II, Cham: Springer International Publishing, 2016, pp. 743–759. (3.97 MB)
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)
R. W. J. J. Saeijs, Tjon a Ten, W. E., and de With, P. H. N., “Dense-Hog-based 3D face tracking for infant pain monitoring”, in 2016 IEEE International Conference on Image Processing (ICIP), 2016. (1.45 MB)
R. W. J. J. Saeijs, Tjon a Ten, W. E., and de With, P. H. N., “Dense-HOG-Based Drift-Reduced 3D Face Tracking for Infant Pain Monitoring”, in Int. Conf. Machine Vision, Nice (France), 2016. (374.68 KB)