Publications

Export 433 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.
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)
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. 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. epub ahead of print, 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.
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)