Publications

Export 411 results:
Author Title Type [ Year(Asc)]
2017
A. -fré Swager, van der Sommen, F., 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 (In Print), 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 print]”, 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)
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)
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, Ten, W. E. Tjon a, 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, Ten, W. E. Tjon a, 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, Ten, W. E. Tjon a, 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)
M. H. A. Janse, van der Sommen, F., Zinger, S., Schoon, E. J., and de With, P. H. N., “Early esophageal cancer detection using RF classifiers”, in SPIE Medical Imaging (SPIE 9785), San Diego, CA, USA, 2016.
W. P. Sanberg, Dubbelman, G., and de With, P. H. N., “FCNs for Free-Space Detection with Self-Supervised Online Training”, in IEEE IV - DeepDriving: Learning Representations for Intelligent Vehicles Workshop (IV-DD), Gothenburg, Sweden, 2016. (1.02 MB)
A. -fré Swager, van der Sommen, F., Zinger, S., Meijer, S. L., Schoon, E. J., Bergman, J. J. G. H. M., de With, P. H. N., and Curvers, W. L., “Feasibility of a computer algorithm for detection of early Barrett ' s neoplasia using volumetric laser endomicroscopy”, in Digestive Disease Week (DDW), San Diego, CA, USA, 2016.
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)
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)
H. Javan Hemmat, “R3P: Real-time RGB-D Registration Pipeline”, in Advanced Concepts for Intelligent Vision Systems: 17th International Conference, ACIVS 2016, Lecce, Italy, October 24-27, 2016, Proceedings, E. Bondarev LNCS Springer International Publishing, 2016, pp. 385–397. (5.68 MB)
W. P. Sanberg, Dubbelman, G., and de With, P. H. N., “Self-Supervised Online Training of FCNs for Free-Space Detection”, in the Netherlands Conference on Computer Vision (NCCV), Lunteren, the Netherlands, 2016. (710.75 KB)
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.
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.