Comaniciu, Dorin

Kernel-based object tracking

Comaniciu, D., Ramesh, V., & Meer, P. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 4,560

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

Ghesu, F.-C., Georgescu, B., Zheng, Y., Grbic, S., Maier, A., Hornegger, J., & Comaniciu, D. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 310

Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree

Carneiro, G., Georgescu, B., Good, S., & Comaniciu, D. (2008) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 205

An artificial agent for robust image registration

Liao, R., Miao, S., De Tournemire, P., Grbic, S., Kamen, A., Mansi, T., & Comaniciu, D. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 199

Marginal space deep learning: efficient architecture for volumetric image parsing

Ghesu, F. C., Krubasik, E., Georgescu, B., Singh, V., Zheng, Y., Hornegger, J., & Comaniciu, D. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 142

A Novel Deep Learning Based Computer-Aided Diagnosis System Improves the Accuracy and Efficiency of Radiologists in Reading Biparametric Magnetic Resonance Images of the Prostate: Results of a Multireader, Multicase Study

Winkel, D. J., Tong, A., Lou, B., Kamen, A., Comaniciu, D., Disselhorst, J. A., Rodríguez-Ruiz, A., Huisman, H., Szolar, D., Shabunin, I., et al. (2021) · Investigative Radiology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 118

Automatic Detection and Segmentation of Lymph Nodes From CT Data

Barbu, A., Suehling, M., Xu, X., Liu, D., Zhou, S. K., & Comaniciu, D. (2012) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 94

Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior

Feulner, J., Kevin Zhou, S., Hammon, M., Hornegger, J., & Comaniciu, D. (2013) · Medical Image Analysis

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 72