Publications
“Development and Analysis of a Real-Time System for Automated Detection of IED indicators from Ground Vehicles”, Journal of Electronic Imaging, Submitted.
, “Aggregated Deep Local Features for Remote Sensing Image Retrieval”, Remote Sensing, vol. 11, p. 493, 2019.
(5.94 MB)
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“Dose distribution as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma”, in SPIE Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, USA, 2019.
, “ECDNet: Efficient Siamese Convolutional Network for Real-Time Small Object Change Detection from Ground Vehicles”, in Electronic Imaging, Burlingame (CA), 2019.
(440.88 KB)
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“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)
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“Improved 3D Scene Modeling for Image Registration in Change Detection”, in Electronic Imaging, Burlingame (CA), 2019.
(5.78 MB)
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“Dual-camera 3D head tracking for clinical infant monitoring”, in 2018 International Conference on Intelligent Systems and Computer Vision (ISCV), 2018.
(494.9 KB)
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“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)
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“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.
, “MRI textures as outcome predictor for Gamma Knife radiosurgery on vestibular schwannoma”, in SPIE Medical Imaging, 2018: Computer-Aided Diagnosis, 2018.
, “Novel developments in endoscopic mucosal imaging”, Gastroenterology, vol. 154, pp. 1876–1886, 2018.
, “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.
, “Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma”, in Medical Imaging 2018: Computer-Aided Diagnosis, 2018.
, “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.
, “Automatic transperineal ultrasound probe positioning based on CT scan for image guided radiotherapy”, in SPIE medical imaging, 2017.
, “Computer-aided detection of early Barrett’s neoplasia using volumetric laser endomicroscopy”, Gastrointestinal Endoscopy, vol. 86, no. 5, 2017.
, “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.
, “CT based prostate cancer patient-specific transperineal ultrasound probe setups for image guided radiotherapy”, in IEEE International Ultrasonics Symposium, 2017.
, “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.
, “Fast scene analysis for surveillance & video databases”, IEEE Transactions on Consumer Electronics, 2017.
, “Fast semantic region analysis for surveillance & video databases”, in IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, 2017.
(352.54 KB)
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“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)
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“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.
, “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)
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“Self-learning framework with temporal filtering for robust maritime vessel detection”, in RFMI, 2017.
(7.27 MB)
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