Publications

Export 439 results:
Author Title Type [ Year(Asc)]
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.
2020
X. Liu, Groot, H. G. J., Bondarau, E., and de With, P. H. N., “Introducing scene understanding to person re-identification using a spatio-temporal multi-camera model”, in Image Processing: Algorithms and Systems XVIII, IPAS2020, 2020. (1.7 MB)
P. P. J. H. Langenhuizen, Sebregts, S. H. P., Zinger, S., Leenstra, S., Verheul, J. B., and With, P. H. N., “Prediction of transient tumor enlargement using MRI tumor texture after radiosurgery on vestibular schwannoma”, Medical Physics, vol. 471195, no. 4, pp. 1692 - 1701, 2020.
H. G. J. Groot, Zwemer, M. H., Wijnhoven, R. G. J., Bondarau, E., and de With, P. H. N., “Vessel-speed enforcement system by multi-camera detection and re-identification”, in 15th International Conference on Computer Vision Theory and Applications 2020, VISAPP 2020, 2020. (9.76 MB)
2019
R. Imbriaco, Sebastian, C., Bondarev, E., and de With, P., “Aggregated Deep Local Features for Remote Sensing Image Retrieval”, Remote Sensing, vol. 11, p. 493, 2019. (5.94 MB)
P. P. J. H. Langenhuizen, van Gorp, H., Zinger, S., Verheul, J., Leenstra, S., and de With, P. H. N., “Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma”, in SPIE Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, USA, 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)
W. P. Sanberg, Dubbelman, G., and de With, P. H. N., “From Stixels to Asteroids: Towards a Collision Warning System using Stereo Vision”, in IS&T Electronic Imaging - Autonomous Vehicles and Machines (EI-AVM), Burlingame (CA), USA, 2019. (775.65 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)
H. G. J. Groot, Bondarau, E., and de With, P. H. N., “Improving person re-identification performance by customized dataset and person detection”, in Image Processing: Algorithms and Systems XVII, IPAS2019, 2019. (2.55 MB)
P. P. J. H. Langenhuizen, Zinger, S., Hanssens, P. E. J., Kunst, H. P. M., Mulder, J. J. S., Leenstra, S., de With, P. H. N., and Verheul, J. B., “Influence of pretreatment growth rate on Gamma Knife treatment response for vestibular schwannoma: a volumetric analysis”, Journal of Neurosurgery, vol. 131, no. 5, p. 8, 2019.
2018
R. W. J. J. Saeijs, Tjon a Ten, W. E., and de With, P. H. N., “Dual-camera 3D head tracking for clinical infant monitoring”, in 2018 International Conference on Intelligent Systems and Computer Vision (ISCV), 2018. (494.9 KB)
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)
P. Langenhuizen and Verheul, H. B., “Invloed van groeisnelheid op de effectiviteit van Gamma Knife-behandeling van vestibulair schwannomen”, in Wintermeeting Nederlandse vereniging voor Neurochirurgie, Utrecht, the Netherlands, 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.
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, 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.
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.
M. H. Zwemer, Wijnhoven, R. G. J., and de With, P. H. N., “Ship Detection in Harbour Surveillance based on Large-Scale Data and CNNs”, in Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,, Funchal, Madeira, Portugal, 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.
H. G. J. Groot, Oostdijk, A., van Persie, M., and de With, P. H. N., “Cloud and shadow detection using sequential characteristics on multi-spectral satellite images”, in Image Processing: Algorithms and Systems XV, IPAS2017, United States, 2017. (3.49 MB)
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.