Dorin Comaniciu

Dorin

Contact:

Dorin.Comaniciu at siemens-healthineers.com
Linkedin:
linkedin.com/in/dorincomaniciu

Dorin Comaniciu serves as Senior Vice President for Artificial Intelligence and Digital Innovation at Siemens Healthineers. His scientific contributions to computational imaging and machine intelligence have translated to multiple clinical products focused on improving the quality of care, specifically in the fields of diagnostic imaging, image-guided therapy, and precision medicine.

An elected member of the National Academy of Engineering, National Academy of Medicine, and the Romanian Academy. Comaniciu is a Top Innovator of Siemens and a Fellow of the IEEE, ACM, Medical Image Computing and Computer Assisted Intervention Society, and American Institute for Medical and Biological Engineering, among other scientific organizations.

He has received the 2004 Siemens Inventor of the Year Award and the 2010 IEEE Longuet-Higgins Prize for 'fundamental contributions to computer vision'. Recent recognition of his work includes an honorary doctorate from the Friedrich-Alexander University of Erlangen-Nuremberg.

Here are a couple of highlights of the translational innovation of Dr. Comaniciu and team:

AI Abdomen automatically recognizes and labels 17 anatomical views and calculates 12 key measurements in milliseconds. Industry first AI solution that ensures consistency with standardized ultrasound imaging and saves the needless strain and pain.
AI powers ACUSON Origin, a revolutionary echocardiography system that provides numerous automated measurements for 2D Heart, 4D Heart on both 3D TTE and TEE aquisitions, and workflow enhancements such as instant view recognition. ACUSON Origin has received the Vizient Innovation Technology Designation Award 2025 for its AI technology.
Intelligent CT Emergency Imaging with myExam Companion has received the R&D 100 Award 2022. AI helps radiologists prioritize brain hemorrhage cases, depict skull fractures and hematomas, speeding up care for emergency patients.
Deep Resolve Boost, an AI-powered raw data-to-image reconstruction technology that enables accelerated image acquisition with high signal-to-noise scans. It has won the EuroMinnies 2023 for the Best New Radiology Software. MRI scans can be much faster, boosting workflow efficiency, while improving patient comfort. Youtube video highlighting the speed and image quality of Deep Resove Boost.
Organs-at-risk contouring for Radiation Therapy automatically contours 200+ organs and anatomies at risk from CT images, during radiation therapy planning. It has received the 2021 R&D 100 Award.
CT Pneumonia Analysis COVID-19, a research software deployed at 485 sites in 50+ countries that automatically quantifies abnormal CT patterns commonly present in COVID-19 disease, namely ground glass opacities and consolidations. Developed in collaboration with multiple frontline hospitals.
A new family of AI-powered applications: AI-Rad Companion Chest CT, Chest X-Ray, and Prostate MR. AI-Rad Companion Chest CT has received the 2020 R&D 100 Award and 2020 Market Disruptor Gold Award.
First patient positioning system powered by artificial intelligence. A 3D camera captures the patient's shape, positioniong and height in 3D, providing correct isocenter position, right dose modulation, and consistent CT images. This innovation has received the 2020 R&D 100 Award.
Compressed Sensing Cardiac Cine, a software that enables diagnostic MRI of patients with arrhythmia or of those with respiratory problems. The technology has won the 2014 Challenge on Sub-Nyquist Reconstruction of the International Society for Magnetic Resonance in Medicine and has received the 2017 R&D 100 Award. It allows MR imaging up to ten times faster without compromising image quality.
eSie Valves, a 3D Transesophageal Echo application for heart valve assessment, was named a top high-technology product by the 2015 R&D 100 Awards. The automated valve modeling fuels comprehensive understanding of mitral and aortic valve anatomy and function within seconds for increased confidence and decreased procedure time.
syngo.CT Bone Reading application for rib and spine assessment speeds up the reading process in multiple trauma cases with automated rib and spine labeling. It received the 2014 R&D 100 Award.
The innovations on automated 3D analysis of left ventricle and quantification of 3D color flow Doppler were nominated for the 2011 Young Investigator's Award of the American College of Cardiology and American Society of Echocardiography.
The aortic valve implantation technology received the 2010 Innovation Award of the European Association for Cardio-Thoracic Surgery. The next generation of this technology powers the syngo TrueFusion application that adds the relevant anatoimical and functional information from True Volume TEE to live fluoroscopy.

Comaniciu is listed on Wikipedia's list of prolific inventors with more than 550 granted patents (344 US and 237 international) in the areas of machine intelligence, medical imaging and computer vision. He has co-authored 350 peer-reviewed publications, including best papers in CVPR and MICCAI, co-wrote the book Marginal Space Learning for Medical Image Analysis, co-edited Artificial Intelligence for Computational Modeling of the Heart, and has given a multitude of keynote talks. His publications have 66,000 citations with an H-index of 107 according to Google Scholar.

During his early work in computer vision he introduced a popular family of robust methods for image analysis and tracking based on the iterative procedure Mean Shift.

A graduate of the Advanced Management Program at the University of Pennsylvania's Wharton School, Comaniciu received a doctorate in electrical and computer engineering from Rutgers University and a doctorate in electronics and telecommunications from Polytechnic University of Bucharest.

Dorin is advocate for technology innovation that enhances and saves lives. He supports the Annual Prize for the best STEM Olympiad results at his former high school Radu Negru in Romania.

Integrated Diagnostics: From Patient Twinning to Precision Therapy, Presentation at National Academies, Washington DC, 2023

We are hiring in machine learning, nlp, sparse methods, optimization, registration, computer vision, medical imaging. 3D visualization, simulation. Lots of cool projects with high impact.
Let us build together the future of precision medicine. Browse this page and see if you are up to the challenge ... drop me a line ...

Acknowledgement: I gratefully acknowledge the contributions of my former and current collaborators. I enjoyed working along the years with great and wonderful minds from whom I constantly learned. The technologies we create together help the society in multiple ways.

Selected Publications - Most Cited

Please Note: These electronic articles are posted for individual, noncommericial use to ensure timely dissemination of scholarly work. They are intended for teaching and training purposes only. Articles may not be reposted or disseminated without permission by the copyright holder. Copyright holders retain all rights as indicated within each article.

2022 and beyond

Please see Dorin Comaniciu page at Google Scholar,

2022

F.C Ghesu, B. Georgescu, A. Mansoor, Y. Yoo, D. Neuman, P. Patel, R.S. Vishwanath, J.M. Balter, Y. Cao, S. Grbic, D. Comaniciu: Self-supervised Learning from 100 Million Medical Images, 2022

2021

V. Singh, R. Kamaleswaran, D. Chalfin, A. Buno-Soto, J.S. Roman, E. Rojas-Kenney, R. Molinaro, S. von Sengbush, P. Hodjat, D Comaniciu, A. Kamen: A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers, iScience, 24(12), 2021
E.J.M. Barbosa, B. Georgescu, S. Chaganti, G.B. Aleman, J.B. Cabrero, ..., D. Comaniciu: Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort, European Radiology, 31, 8775-8785, 2021
K. Nael, E. Gibson, C. Yang, P. Ceccaldi, Y. Yoo, ..., D. Comaniciu, Z.A Fayad; Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks, Nature Scientific Reports, 11(1), 1-10, 2021
S. Liu, A.A.A. Setio, F.C. Ghesu, E. Gibson, S. Grbic, B. Georgescu, D. Comaniciu: No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks, IEEE Trans. Medical Imaging, 40(1), 335-345, 2021
S, Guendel, A.A.A. Setio, F.C. Ghesu, S. Grbic, B. Georgescu, A.K. Maier, D. Comaniciu: Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment, Medical Image Analysis, 72(8), 2021
F.C. Ghesu, B. Georgescu, A. Mansoor, Y. Yoo, E. Gibson, R.S. Vishwanath, A. Balachandran, J.M. Balter, Y. Cao, R. Singh, S.R. Digumarthy, M.K. Kalra, S. Grbic, D. Comaniciu: Quantifying and leveraging predictive uncertainty for medical image assessment, Medical Image Analysis, 68(2), 2021
A. Puiu,, A. Vizitiu, C. Nita, L. Itu, P. Sharma, D. Comaniciu: Privacy-Preserving and Explainable AI for Cardiovascular Imaging, Studies in Informatics and Control, 30(2), 21-32, 2021
T. Weikert, S. Rapaka, S. Grbic, S. Chaganti, D. Winkel, C. Anastasopoulos, J. Bremerich, R. Twerenbold, G. Sommer, D. Comaniciu, A.W. Sauter: Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings, Korean Journal of Radiology, 22(6): 994-1004, 2021
D.D. Wang, Z. Qian, M. Vukicevic, S. Engelhardt, A. Kheradvar, C. Zhang, S.H. Little, Johan Verjans, Dorin Comaniciu, W.W. O'Neill, M.A. Vannan: 3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease, JACC Cardiovascular Imaging, 14(1), 41-60, 2021
D.J Winkel, A. Tong, B.Lou, A.Kamen, D.Comaniciu, J.A Disselhorst, A. Rodríguez-Ruiz, H. Huisman, D. Szolar, I. Shabunin, M.. Choi, P.Xing, T.Penzkofer, R.Grimm, H. von Busch, D.T. Boll: 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, Investigative Radiology, 56(1), 605-613, 2021
N.P. Nguyen, Y. Yoo, A. Chekkoury, E. Eibenberger, T.J Re, ..., Dorin Comaniciu, Eli Gibson: Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans, IEEE/CVF International Conference on Computer Vision, 487-495, 2021

2020

S. Chaganti, P. Grenier, A. Balachandran, G. Chabin, S. Cohen, ..., D. Comaniciu, Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT, Radiology: Artificial Intelligence, 2(4), 2020
P Sharma, M Suehling, T Flohr, D Comaniciu: Artificial Intelligence in Diagnostic imaging: Status quo, Challenges, and Future Opportunities, Journal of Thoracic Imaging 35, S11-S16, 2020
D.J. Winkel, T.J. Weikert, H-C. Breit, G. Chabin, E. Gibson, T.J. Heye, D. Comaniciu, D.T. Boll: Validation of a Fully Automated Liver Segmentation Algorithm using Multi-Scale Deep Reinforcement Learning and Comparison versus Manual Segmentation, European Journal of Radiology, 126(5), 2020
X. Yu, B. Lou, D. Zhang, D. Winkel, N. Arrahmane, M. Diallo, T. Meng, H.v. Busch, R. Grimm, B. Kiefer, D. Comaniciu, A. Kamen: Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans, MICCAI, Peru, 594-604, 2020
X. Yu, B. Lou, B. Shi, ...: False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans, IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
S Gündel, AAA Setio, S Grbic, A Maier, D Comaniciu: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentationm, Int'l Workshop on Machine Learning in Medical Imaging, 504-512, 2020

2019

T. Mansi, T. Passerini, D. Comaniciu (Eds.): Artificial Intelligence for Computational Modeling of the Heart, Academic Press, 2019
D. Dey, P. Slomka, P. Leeson, D. Comaniciu, P. Sengupta, T. Marwick: Artificial Intelligence in Cardiovascular Imaging, Journal of the American College of Cardiology, 73(11): 1317-1335, 2019
S.A. Taghanaki, Y. Zheng, S.K. Zhou, B. Georgescu, P. Sharma, D. Xu, D. Comaniciu, G. Hamarneh: Combo loss: Handling input and output imbalance in multi-organ segmentation, Computerized Medical Imaging and Graphics, 75: 24-33, 2019
F.C. Ghesu, B. Georgescu, Y. Zheng, S. Grbic, A. Maier, J. Hornegger, D. Comaniciu: Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans, IEEE Trans. Pattern Analysis and Machine Intell., 41(1): 176-189, 2019
F.C. Ghesu, B. Georgescu, E. Gibson, S. Guendel, M.K. Kalra, R. Singh, S.R. Digumarthy, S. Grbic, D. Comaniciu: Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment, MICCAI, China, 2019
S.A. Taghanaki, A.B. Taieb, A. Sharma, S.K. Zhou, Y. Zheng, B. Georgescu, P. Sharma, Z. Xu, D. Comaniciu, G. Hamarneh: Select, Attend, and Transfer: Light, Learnable Skip Connections, MLMI@MICCAI 417-425, 2019
J. Yang, S. Liu, S. Grbic, A.A.A. Setio, Z. Xu, E. Gibson, G. Chabin, B. Georgescu, A. Laine, D. Comaniciu: Class-Aware Adversarial Lung Nodule Synthesis in CT Images, IEEE ISBI 2019: 1348-1352

2018

F.C. Ghesu, B. Georgescu, S. Grbic, A. Maier, J. Hornegger, D. Comaniciu: Towards intelligent robust detection of anatomical structures in incomplete volumetric data, Medical Image Analysis 48: 203-213, 2018
B. Teixeira, V. Singh, K. Ma, B. Tamersoy, T. Chen, Y. Wu, E. Balashova, D. Comaniciu: Generating Synthetic X-ray Images of a Person from the Surface Geometry, IEEE CVPR, 9059-9067, 2018
B. Odry et. al: Improved Hemorrhage Detection on Non-Contrast Head CT Using a Robust Artificial Intelligence Pipeline, ASNR 56th Annual Meeting, Vancouver, Canada, 2018
S. Liu, D. Xu, S.K. Zhou, T. Mertelmeier, J. Wicklein, A. Jerebko, S. Grbic, O. Pauly, W. Cai, D. Comaniciu: 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes, MICCAI, Toledo, Spain, 851-858, 2018
M. Etcheverry, B. Georgescu, B. Odry, T.J. Re, S. Kaushik, B. Geiger, N. Mariappan, S. Grbic, D. Comaniciu: Adaptive nonlinear optimization of object parameters for localization in 3D medical images, MICCAI, Toledo, Spain, 2018
K. Nael, B. Odry, C. Yang, T.J. Re, B. Georgescu, M. Nadar, D. Comaniciu, D.S Mendelson, Z. Fayad: Automated Detection of Abnormality in Multi-Parametric Brain MRI using an Artificial Intelligence 3D Pipeline, Radiology Society of North America (RSNA), Chicago, 2018
Y. Chi, R. Wang, C. Liu, N. Liu; J. Xu, P. Sharma, D. Comaniciu: A Novel Artificial Intelligence System for Radiology Report Structuring, Radiology Society of North America (RSNA), Chicago, 2018
T.J. Re, B. Georgescu, G. Chabin, S. Grbic, D. Comaniciu: Machine Learning Fully Automatic Analysis of Vertebrae Trabecular Bone Mineral Density in 10,000 CTs: Groundwork for Opportunistic Osteoporosis Screening, Radiology Society of North America (RSNA), Chicago, 2018
T. Linck, G. Chabin, S. Grbic, D. Comaniciu, D. Boll, B. Stieltjes: Exploring the Uncharted Realm of Laboratory Radiology: Quantification and Landmark-Based Normalization of Liver Volume, Radiology Society of North America (RSNA), Chicago, 2018
S. Guendel, S. Grbic, B. Georgescu, S. Liu, A. Maier, D. Comaniciu: Learning to recognize abnormalities in chest x-rays with location-aware dense networks, Iberoamerican Congress on Pattern Recognition, 757-765, 2018

2017

F. Zhang, J. Kanik, T. Mansi, I. Voigt, P. Sharma, R. Ionasec, L. Subrahmanyan, B.A. Lin, L. Sugeng, D. Yuh, D. Comaniciu, J. Duncan: Towards Patient-Specific Modeling of Mitral Valve Repair: 3D Tranesophageal Echocardiography-derived Parameter Estimation, Medical Image Analysis, 35: 599-609, 2017
S. Grbic, T.F. Easley, T. Mansi, C.S. Bloodworth, E.L. Pierce, I. Voigt, D. Neumann, J. Krebs, D. Yuh, D. Comaniciu, A.P. Yoganathan: Personalized Mitral Valve Closure Computation and Uncertainty Analysis from 3D Echocardiography, Medical Image Analysis, 2017
H. Katus et al: Early diagnosis of acute coronary syndrome, European Heart Journal, 38 (41), 3049-3055, 2017
C. Audigier et al: Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation, Int J Computer Assisted Radiology and Surgery, Sep;12(9):1543-1559, 2017
F.C. Ghesu, B. Georgescu, S. Grbic, A. Maier, J. Hornegger, D. Comaniciu: Robust Multiscale Anatomical Landmark Detection in Incomplete 3D-CT Data, MICCAI 2017
D. Yang, D. Xu, S.K. Zhou, B. Georgescu, M. Chen, S. Grbic, D. Metaxas, D. Comaniciu: Automatic Liver Segmentation using an Adversarial Image-to-Image Network, MICCAI 2017
D. Yang, T. Xiong, D. Xu, S. Grbic, S.K. Zhou, M. Chen, Z. Xu, JH Park, TD Tran, SH Chin, D. Metaxas, D. Comaniciu: Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes, MICCAI 2017
R. Liao, S. Miao, P.d.Tournemire, S. Grbic, A. Kamen, T. Mansi, D. Comaniciu: An Artificial Agent for Robust Image Registrations, AAAI 2017
T. Mansi, D. Neumann, T. Passerini, D. Comaniciu: Artificial Intelligence for Personalized Modeling of Cardiac Physiology, CBME 2017
D. Yang, T. Xiong, D. Xu, Q. Huang, D. Liu, S.K. Zhou, Z. Xu, JH Park, M. Chen, T.D. Tran, S.H. Chin, D. Metaxas, D. Comaniciu: Automatic Localization and Labeling of Vertebrae in 3D CT using Deep Image-to-Image Network with Message Passing and Sparse Representation, IPMI 2017
V.N. Murthy, V. Singh, S. Sun, S. Bhattacharya, T. Chen, D. Comaniciu: Cascaded Deep Decision Networks for Classification of Endoscopic Images, SPIE Medical Imaging 2017

2016

D. Comaniciu, K. Engel, B. Georgescu, T. Mansi: Shaping the Future through Innovations: From Medical Imaging to Precision Medicine, Medical Image Analysis, 2016
F.C. Ghesu, E. Krubasik, B. Georgescu, V. Singh, Y. Zheng, J. Hornegger, D. Comaniciu: Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing, IEEE Trans. Medical Imaging, 2016
L. Itu, S. Rapaka, T. Passerini, B. Georgescu, C. Schwemmer, M. Schoebinger, T. Flohr, P. Sharma, D. Comaniciu: A Machine Learning Approach for Computation of Fractional Flow Reserve from Coronary Computed Tomography, Journal of Applied Physiology, American Physiological Society, 2016
D. Neumann, T. Mansi, L. Itu, B. Georgescu, E. Keyvanpour, F. Sedaghat-Namedani, A. Amr, J. Haas, H. Katus, B. Meder, S. Steidl, J. Hornegger, D. Comaniciu: A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization, Medical Image Analysis, 2016
M. Troebs, S. Achenbach, J. Roether, T. Redel, M. Scheuring, D. Winneberger, K. Klingenbeck, L. Itu, T. Passerini, A. Kamen, P. Sharma, D. Comaniciu, C. Schlundt: Comparison of Fractional Flow Reserve Based on Computational Fluid Dynamics Modeling Using Coronary Angiographic Vessel Morphology versus Invasively Measured Fractional Flow Reserve, American Journal of Cardiology, Jan 1;117(1):29-35, 2016
L. Itu, T. Passerini, E. Badila, L. Calmac, D. Zamfir, D. Penes, R. Niculescu, E. Weiss, L. Kazar, M. Carp, A. Itu, C. Suciu, P. Sharma, B. Georgescu, D. Comaniciu: Image-Based Computation of Instantaneous Wave-free Ratio from Routine Coronary Angiography: Evaluation of a Hybrid Decision Making Strategy with FFR, Journal American College of Cardiology, 67(13_S), 2016
L. Itu, P. Sharma, C. Suciu, D. Comaniciu: Personalized Blood Flow Computations: A Hierarchical Parameter Estimation Framework for Tuning Boundary Conditions, International Journal for Numerical Methods in Biomedical Engineering, 2016
V.N. Murthy, V. Singh, T. Chen, R. Manmatha, D. Comaniciu: Deep Decision Network for Multi-Class Image Classification, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'16), Las Vegas, 2016
F.C. Ghesu, B. Georgescu, T. Mansi, D. Neumann, J. Hornegger, D. Comaniciu: An Artificial Agent for Anatomical Landmark Detection in Medical Images, MICCAI, 2016
L. Calmac, R. Niculescu, E. Badila, L. Itu, L. Lazar, T. Passerini, P. Sharma, B. Georgescu, D. Comaniciu: From Rest to Hyperemia: Initial Validation of a Data-Driven Approach for Functional Assessment of Coronary Lesions, EuroPCR, 2016

2015

C. Audigier, T. Mansi, H. Delingette, S. Rapaka, V. Mihalef, D. Carnegie, E. Boctor, M. Choti, A. Kamen, N. Ayache, D. Comaniciu: Patient-Specific Lattice Boltzmann Model of Radio-Frequency Hepatic Tumor Ablation, IEEE Trans. Medical Imaging, 2015
L. Itu, P. Sharma, T. Passerini, A. Kamen, C. Suciu, D. Comaniciu: A Parameter Estimation Framework for Patient-Specific Hemodynamic Computations, Journal of Computational Physics, 281: 316-333, 2015
E. Kayvanpour, T. Mansi, F. Sedaghat-Hamedani, A. Amr, D. Neumann, B. Georgescu, P. Seegerer, A. Kamen, A. Keller, M. Irawati, J. Haas, K. Frese, E. Wirsz, V. King, S. Buss, D. Mereles, E. Zitron, H.A. Katus, D. Comaniciu, B. Meder: Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart, PLOS ONE, 10(7), 2015
L. Calmac, R. Niculescu, E. Badila, E. Weiss, D. Zamfir, L. Itu, T. Passerini, P. Sharma, B. Georgescu, D. Comaniciu: Image-Based Computation of Instantaneous Wave-free Ratio from Routine Coronary Angiography-Initial Validation by Invasively Measured Coronary Pressures, Journal American College of Cardiology, 66(15_S), 2015
K. Ralovich, L. Itu, D. Vitanovski, P. Sharma, R. Ionasec, V. Mihalef, W. Krawtschuk, A. Everett, B. Leonardi, G. Pongiglione, R. Ringel, N. Vanab, T. Heimann, D. Comaniciu: Non-Invasive Hemodynamic Assessment, Treatment Prediction and Follow-up of Aortic Coarctation from MR Imaging, Medical Physics, 42(5), 2143-2156, 2015
L. Zhang, W. Wu, T. Chen, N. Strobel, D. Comaniciu: Robust Object Tracking Using Semi-supervised Appearance Dictionary Learning, Pattern Recognition Letters, 2015
F.C. Ghesu, B. Georgescu, Y. Zheng, J. Hornegger, D. Comaniciu: Marginal Space Deep Learning: Effcient Architecture for Detection in Volumetric Image Data, MICCAI, 2015
Y. Zheng, D. Liu, B. Georgescu, H. Nguyen, D. Comaniciu: 3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data, MICCAI, 2015
D. Neumann, T. Mansi, L. Itu, B. Georgescu, E. Kayvanpour, F. Sedaghat-Hamedani, J. Haas, H. Katus, B. Meder, S. Steidl, J. Hornegger, D. Comaniciu: Vito - A Generic Agent for Multi-Physics Model Personalization: Application to Heart Modeling, MICCAI, 2015
I. Voigt, M. Scutaru, T. Mansi, B. Georgescu, N. El-Zehiri, H. Houle, D. Comaniciu: Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance, MICCAI, 2015
H. Yang, T. Passerini, T. Mansi, D. Comaniciu: Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations, Functional Imaging and Modeling of the Heart, 2015
R. Molléro, D. Neumann, M.-M.Rohé, M. Datar, H. Lombaert, N. Ayache, D. Comaniciu, O. Ecabert, M. Chinali, G. Rinelli, X. Pennec, M. Sermesant, T. Mansi: Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study, Functional Imaging and Modeling of the Heart, 2015

2014

O. Zettinig, T. Mansi, D. Neumann, B. Georgescu, S. Rapaka, P. Seegerer, E. Kayvanpour, F. Sedaghat-Hamedani, A. Amr, J. Haas, H. Steen, H.A. Katus, B. Meder, N. Navab, A. Kamen, D. Comaniciu: Data-Driven Estimation of Cardiac Electrical Diffusivity from 12-Leed ECG Signals, Medical Image Analysis, 2014
M. Sofka, J. Zhang, S. Good, K. Zhou, D. Comaniciu: Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network, IEEE Trans. Medical Imaging, 33(3):1054-1070, 2014
Y. Zheng, D. Yang, M. John, D. Comaniciu: Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation, IEEE Trans. Medical Imaging, 33(2):318-331, 2014
C. Schlundt, T. Redel, M. Scheuering, D. Groke, K. Klingenbeck, L. Itu, P. Sharma, A. Kamen, D. Comaniciu, S. Achenbach: Model-Based Determination of Fractional Flow Reserve Based on Coronary Angiography-Initial Validation by Invasively Measured FFR, Journal of the American College of Cardiology, 64(11_S), 2014
D. Neumann, T. Mansi, B. Georgescu, A. Kamen, E. Kayvanpour, A. Amr, F. Sedaghat-Hamedani, J. Haas, H.A. Katus, B. Meder, J. Hornegger, D. Comaniciu: Robust Image-Based Estimation of Cardiac Tissue Parameters and Their Uncertainty from Noisy Data, MICCAI (2); 9-16, 2014
N. Birkbeck, T. Kohlberger, J. Zhang, M. Sofka, J.N. Kaftan, D. Comaniciu, S.K. Zhou: Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints, MICCAI (1): 804-811, 2014
D. Neumann, T. Mansi, S. Grbic, I. Voigt, B. Georgescu, E. Kayvanpour, A. Amr, F. Sedaghat-Hamedani, J. Haas, H.A. Katus, B. Meder, J. Hornegger, A. Kamen, D. Comaniciu: Automatic Image-to-Model Framework for Patient-Specific Electromechanical Modeling of the Heart, ISBI: 935-938, 2014
C. Audigier, T. Mansi, H. Delingette, S. Rapaka, V. Mihalef, D. Carnegie, E. Boctor, M. Choti, A. Kamen, D. Comaniciu, N. Ayache: Parameter Estimation For Personalization of Liver Tumor Radiofrequency Ablation, MICCAI Workshop on Abdominal Imaging--Computational and Clinical Applications, Boston, MA, 2014
L. Itu, P. Sharma, B. Georgescu, A. Kamen, C. Suciu, D. Comaniciu: Model based Non-invasive Estimation of PV Loop from Echocardiography, IEEE Engineering in Medicine and Biology Society (EMBC), 6774-6777, 2014
J. Kanik, T. Mansi, I. Voigt, P. Sharma, R. Ionasec, D. Comaniciu, J. Duncan: Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography, Statistical Atlases and Computational Models of the Heart: 162-170, Springer 2014
T. Mansi, R. Beinart, O. Zettinig, S. Rapaka, B. Georgescu, A. Kamen, Y. Dori, M. Zviman, D. A. Herzka, H.R. Halperin, D. Comaniciu: A Framework for the Pre-clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation, Statistical Atlases and Computational Models of the Heart: 253-261, Springer 2014

2013

P. Wang, O. Ecabert, T. Chen, M. Wels, M. Ostermeier, D. Comaniciu: Image-based Co-Registration of Angiographjy and Intravascular Ultrasound Image, IEEE Trans. Medical Imaging, 32(12):2238-2249, 2013
M. Kelm, M. Wels, K. Zhou, S. Seifert, M. Suehling, Y. Zheng, D. Comaniciu: Spine Detection in CT amd MR using Iterated Marginal Space Learning, Medical Image Analysis, 17(8):1283-1292, 2013
L. Itu, P. Sharma, K. Ralovitch, V. Mihalef, R. Ionasec, A. Everett, R. Ringel, A. Kamen, D. Comaniciu: Non-Invasive Hemodynamic Assesment of Aortic Coarctation: Validation with In-Vivo Measurements, Annals of Biomedical Engineering, 2013
Y. Wang, B. Georgescu, T. Chen, W. Wu, P. Wang, X. Lu, R. Ionasec, Y. Zheng, D. Comaniciu: Learning-Based Detection and Tracking in Medical Imaging: A Probabilistic Approach, Deformation Models, Lecture Notes in Computational Vision and Biomechanics, Springer, 7: 209-235, 2013
J. Feulner, S.K. Zhou, M. Hammon, J. Hornegger, D. Comaniciu: Lymph Node Detection and Segmentation in Chest CT Data using Discriminative Learning and a Spatial Prior, Medical Image Analysis 17(2): 254-270, 2013
L. Itu, P. Sharma, A. Kamen, C. Suciu, D. Comaniciu: Graphics Processing Unit Accelerated One-Dimensional Blood Flow Computation in the Human Arterial Tree, Int'l Journal Numerical Methods in Biomedical Engineering 29(12): 1428-1455, 2013
O. Zettinig, T. Mansi, B. Georgescu, E. Kayvanpour, F. Sedaghat-Hamedani, A. Amr, J. Haas, H. Steen, B. Meder, H. A. Katus, N. Navab, A. Kamen, D. Comaniciu: Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG. MICCAI (1) 2013: 1-8
C. Audigier, T. Mansi, H. Delingette, S. Rapaka, V. Mihalef, P. Sharma, D. Carnegie, E. Boctor, M. Choti, A. Kamen, D. Comaniciu, N. Ayache: Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images. MICCAI (3) 2013: 323-330
S. Grbic, T. Mansi, R. Ionasec, I. Voigt, H. Houle, M. John, M. Schoebinger, N. Navab, D.Comaniciu: Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment. MICCAI (2) 2013: 395-402
J. Kanik, T. Mansi, I. Voigt, P. Sharma, R. Ionasec, D. Comaniciu, J. Duncan: Estimation of Patient-Specific Material Properties of the Mitral Valve using 4D Transesophageal Echocardiography, ISBI, 2013
S. Grbic, R. Ionasec, T. Mansi, N. Navab, B. Georgescu, F. Vega-Higuera, D. Comaniciu: Advanced Intervention Planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using Volumetric Models, ISBI, 2013
B. Georgescu, T. Mansi, X. Lu, A. Kamen, D. Comaniciu, N. Seiberlich, M. Griswold: Model Based Automated 4D Analysis for Real-Time Free-Breathing Cardiac MRI, ISMRM, 2013
L. Itu, P. Sharma, A. Kamen, C. Suciu, D. Comaniciu: A Novel Coupling Algorithm for Computing Blood Flow in Viscoelastic Arterial Models, IEEE Engineering in Medicine and Biology Society (EMBC), 727-730, 2013

2012

Y. Zheng, M. John, R. Liao, A. Noettling, J. Boese, J. Kempfert, T. Walter, G. Brockmann, D. Comaniciu: Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Valve Implantation, IEEE Trans. Medical Imaging, 31(12): 2307-2321, 2012
T. Mansi, I. Voigt, B. Georgescu, X. Zheng, E.A. Mengue, M. Hackl, R. Ionasec, T. Noack, J. Seeburger, D. Comaniciu: An Integrated Framework for Finite-Element Modeling of Mitral Valve Biomechanics from Medical Images: Application to MitraClip Intervention Planning, Medical Image Analysis, 16(7): 1330-1346, 2012
S. Gribic, R. Ionasec, B. Georgescu, N. Navab, D. Comaniciu: Complete Valvular Heart Apparatus Model from 4D Cardiac CT, Medical Image Analysis, 16(5):1003-1014, 2012
A. Barbu, M. Suehling, X. Xun, D. Liu, K. Zhou, D. Comaniciu: Automatic Detection and Segmentation of Lymph Nodes from CT Data, IEEE Trans. Medical Imaging, 31(2): 240-250, 2012
R. Ionasec, D. Vitanovski, D. Comaniciu: Morphological and Functional Modeling of the Heart Valves and Chambers, Patient Specific Modeling in Tomorrow's Medicine, Studies in Mechanobiology, Tissue Engineering and Biomaterials, Springer, 09: 157-187, 2012
X. Zheng, P. Sharma, L. Itu, A. Kamen, B. Georgescu, D. Comaniciu: Trans-Stenotic Pressure Drop: Reduced-Order Modeling and Sensitivity with Respect to Lesion Geometry, BMES Annual Meeting, Atlanta, GA, 2012
Y. Wang, T. Chen, P. Wang, C. Rohkohl, D. Comaniciu: Automatic Localization of Balloon Markers and Guidewire in Rotational Fluoroscopy with Application to 3D Stent Reconstruction, ECCV (6): 428-441, 2012
P. Wang, Y. Zheng, M. John, D. Comaniciu: Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation, MICCAI (2): 17-24, 2012
S. Rapaka, T. Mansi, B. Georgescu, M. Pop, G.A. Wright, A. Kamen, D. Comaniciu: LBM-EP: Lattice-Boltzmann Method for Fast Cardiac Electrophysiology Simulation from 3D Images, MICCAI (2): 33-40, 2012
T. Chen, Y. Wang, P. Durlak, D. Comaniciu: Real Time Assistance for Stent Positioning and Assessment by Self-initialized Tracking, MICCAI (1): 405-413, 2012
M. Wels, M. Kelm, M. Hammon, A.K. Jerebko, M. Suehling, D. Comaniciu: Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis, MICCAI (1): 438-446, 2012
K. Ralovich, L.M. Itu, V. Mihalef, P. Sharma, R. Ionasec, D. Vitanovski, W. Krawtschuk, A. Everett, R. Ringel, N. Navab, D. Comaniciu: Hemodynamic Assessment of Pre- and Post-operative Aortic Coarctation from MRI, MICCAI (2): 486-493, 2012
P. Mountney, R. Ionasec, M. Kaizer, S. Mamaghani, W. Wu, T. Chen, M. John, J. Boese, D. Comaniciu: Ultrasound and Fluoroscopic Images Fusion by Autonomous Ultrasound Probe Detection, MICCAI (2): 544-551, 2012
B. Fuerst, T. Mansi, J. Zhang, P. Khurd, J. Declerck, T. Boettger, N. Navab, J.E. Bayouth, D. Comaniciu, A. Kamen: A Personalized Biomechanical Model for Respiratory Motion Prediction, MICCAI (3): 566-573, 2012
L. Itu, X. Zheng, A. Kamen, D. Bernhardt, C. Suciu, D. Comaniciu: A Framework for Personalization of Coronary Flow Simulations during Rest and Hyperemia, Engineering in Medicine and Biology Society (EMBC), 2012
M. Chen, Y. Zheng, K. Mueller, C. Rohkohl, G. Lauritsch, J. Boese, D. Comaniciu: Enhancement of Organ of Interest via Background Subtraction in Cone Beam Rotational Angiocardiogram, ISBI: 622-625, 2012
D. Vitanovski, K. Ralovich, R. Ionasec, Y. Zheng, M. Suehling, W. Krawtschuk, J. Hornegger, D. Comaniciu: Personalized Learning-based Segmentation of Thoracic Aorta and Main Branches for Diagnosis and Treatment Planning, ISBI: 836-839, 2012
W. Wu, T. Chen, N. Strobel, D. Comaniciu: Fast tracking of catheters in 2D fluoroscopic images using an integrated CPU-GPU framework, ISBI: 1184-1187, 2012
Y. Zheng, M. John, J. Boese, D. Comaniciu: Precise segmentation of the left atrium in C-arm CT volumes with applications to atrial fibrillation ablation, ISBI: 1421-1424, 2012
T. Mansi, V. Mihalef, P. Sharma, B. Georgescu, X. Zheng, S. Rapaka, A. Kamen, D. Mereles, H. Steen, B. Meder, H. Katus, D. Comaniciu: Data-driven computational models of heart anatomy, mechanics and hemodynamics: An integrated framework, ISBI: 1434, 2012
M. Wels, A. Tsymbal, M. Kelm, M. Suehling, M. Hammon, A. Cavallaro, G. Soza, D. Comaniciu: Multi-Stage Osteolytic Spinal Bone Lesion Detection from CT Data with Internal Sensitivity Control, SPIE Medical Imaging, San Diego, CA, 2012
S. Tzoumas, P. Wang, Y. Zheng, M. John, D. Comaniciu: Robust Pigtail Catheter Tip Detection in Fluoroscopy, SPIE Medical Imaging, San Diego, CA, 2012
T. Chen, N. Strobel, G. Funka-Lea, D. Comaniciu: Robust Tracking of a Virtual Electrode on a Coronary Sinus Catheter for Atrial Fibrillation Ablation Procedure, SPIE Medical Imaging, San Diego, CA, 2012

2011

L. Yang, B. Georgescu, Y. Zheng, Y. Wang, P. Meer, D. Comaniciu: Prediction-based Collaborative Trackers: A Robust and Accurate Approach toward 3D Medical Object Tracking, IEEE Trans. Medical Imaging, 30(11): 1921-1932, 2011
V. Mihalef, R. Ionasec, P. Sharma, B. Georgescu, M. Suehling, D. Comaniciu: Patient-Specific Modeling of the Whole Heart Anatomy, Dynamics and Hemodynamics from 4D Cardiac CT Images, Interface Focus Journal of the Royal Society, 2011
J. Feulner, S.K. Zhou, S. Seifert, M. Huber, A. Cavallaro, J. Hornegger, D. Comaniciu: A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans, IEEE Trans. Medical Imaging, 30(6): 1252-1264, 2011
M. Wels, Y. Zheng, M. Huber, J. Hornegger, D. Comaniciu: A Discriminative Model-Constrained EM Approach to 3D MRI Brain Tissue Classification and Intensity Non-Uniformity Correction, Physics in Medicine and Biology, Vol. 56, No. 11, 2011
J. Feulner, S.K. Zhou, S. Seifert, M. Huber, A. Cavallaro, J. Hornegger, D. Comaniciu: Comparing Axial CT Slices in Quantized N-Dimensional SURF Descriptor Space to Estimate the Visible Body Region, Computerized Medical Imaging and Graphics, 35(3): 227-236, 2011
P. Wang, A. Meyer, T. Chen, S.K. Zhou, D. Comaniciu: A Framework for Wire Tracking in Image Guided Interventions, Machine Learning for Vision-Based Motion Analysis, Advances in Pattern Recognition, Springer, 159-177, 2011
P. Wang, T. Chen, O. Ecabert, S. Prummer, M. Ostermeier, D. Comaniciu: Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (1) 2011: 161-168, Nominated for Best Paper in Medical Robotics and CAI Systems
S. Grbic, R. Ionasec, Y. Wang, T. Mansi, B. Georgescu, M. John, J. Boese, Y. Zheng, N. Navab, D. Comaniciu: Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (1) 2011: 219-226, Nominated for MICCAI Young Scientist Award - Sasa Grbic
T. Chen, G. Funka-Lea, D. Comaniciu: Robust and Fast Contrast Inflow Detection for 2D X-ray Fluoroscopy. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (1) 2011: 243-250
T. Mansi, I. Voigt, E.A. Mengue, R. Ionasec, B. Georgescu, T. Noack, J. Seeburger, Dorin Comaniciu: Towards Patient-Specific Finite-Element Simulation of MitralClip Procedure. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (1) 2011: 452-459, MICCAI Young Scientist Award - Tommaso Mansi
M. Kelm, S. Mittal, Y. Zheng, A. Tsymbal, D. Bernhardt, F.V. Higuera, S.K. Zhou, P. Meer, D. Comaniciu: Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (3) 2011: 25-32
Y. Zheng, H. Tek, G. Funka-Lea, S.K. Zhou, F.V. Higuera, D. Comaniciu: Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (3) 2011: 403-410
M. Chen, Y. Zheng, K. Müller, C. Rohkohl, G. Lauritsch, J. Boese, G. Funka-Lea, J. Hornegger, D. Comaniciu: Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (3) 2011: 471-478
Y. Zheng, T. Wang, M. John, S.K. Zhou, J. Boese, D. Comaniciu: Multi-Part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (3) 2011: 487-495
X. Lu, M.P. Jolly, B. Georgescu, C. Hayes, P. Speier, M. Schmidt, X. Bi, R. Kroeker, D. Comaniciu, P. Kellman, E. Mueller, J. Guehring: Automatic View Planning for Cardiac MRI Acquisition. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (3) 2011: 479-486
I. Voigt, T. Mansi, R. Ionasec, E.A. Mengue, H. Houle, B. Georgescu, J. Hornegger, D. Comaniciu: Robust Physically-Constrained Modeling of the Mitral Valve and Subvalvular Apparatus. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MICCAI (3) 2011: 504-511
D. Vitanovski, A. Tsymbal, R. Ionasec, M. Schmidt, A. Greiser, E. Mueller, X. Lu, G. Funka-Lea, J. Hornegger, D. Comaniciu: Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices. Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MLMI 2011: 282-290
M. Costa, A. Tsymbal, M. Suehling, D. Comaniciu: A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, MCBR-CDS, 2011
W. Wu, T. Chen, A. Barbu, P. Wang, N. Strobel, S. Zhou, D. Comaniciu: Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy, IEEE Int'l Conf. Computer Vision and Pattern Recognition, Colorado Springs, CO, 2011
X. Lu, T. Chen, D. Comaniciu: Robust Discriminative Wire Structure Modeling with Application to Stent Enhancement in Fluoroscopy, IEEE Int'l Conf. Computer Vision and Pattern Recognition, Colorado Springs, CO, 2011
I. Voigt, T. Mansi, V. Mihalef, R. Ionasec, A. Calleja, E. Mengue, H. Houle, B. Georgescu, J. Hornegger, D. Comaniciu: Patient-Specific Model of Left Heart Anatomy,Dynamics and Hemodynamics from 4D TEE: A First Validation Study, Functional Imaging and Modeling of the Heart (FIMH), New York, NY, 2011
X. Lu, Y. Wang, B. Georgescu, A. Littman, D. Comaniciu: Automatic Delineation of Left and Right Ventricles in Cardiac MRI Sequences Using a Joint Ventricular Model, Functional Imaging and Modeling of the Heart (FIMH), New York, NY, 2011
D. Liu, S.K. Zhou, D. Bernhardt, D. Comaniciu: Vascular Landmark Detection in 3D CT Data, SPIE Medical Imaging, Orlando, FL, 2011
S. Seifert, M. Thoma, F. Stegmaier, M. Hammon, M. Doeller, H.P. Kriegel, A. Cavallaro, D. Comaniciu: Combined Semantic and Similarity Search in Medical Image Databases, SPIE Medical Imaging, Orlando, FL, 2011
Y. Zheng, M. Loziczonek, B. Georgescu, S.K. Zhou, F. Vega-Higuera, D. Comaniciu: Machine Learning Based Vasselness Measurement for Coronary Artery Segmentation in Cardiac CT Volumes, SPIE Medical Imaging, Orlando, FL, 2011
Y. Wang, B. Georgescu, S. Datta, S. Liu, M. Vannan, D. Comaniciu: Automatic Cardiac Flow Quantification on 3D Volume Color Doppler Data, IEEE Int'l Symposium on Biomedical Imaging, Chicago, IL, 2011.
M. Koch, A. Schwing, D. Comaniciu, M. Pollefeys: Fully Automatic Segmentation of Wrist Bones for Arthritis Patients, IEEE Int'l Symposium on Biomedical Imaging, Chicago, IL, 2011.

2010

R. Ionasec, I. Voigt, B. Georgescu, Y. Wang, H. Houle, F. Vega, N. Navab, D. Comaniciu: Patient-Specific Modeling and Quantification of the Aortic and Mitral valves from 4D Cardiac CT and TEE, IEEE Trans. Medical Imaging, 29(9): 1636-1651, 2010
A. Barbu, M. Suehling, X. Xu, D. Liu, K. Zhou, D. Comaniciu: Automatic Detection and Segmentation of Axillary Lymph Nodes, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010
S. Grbic, R. Ionasec, B. Georgescu, N. Navab, D. Comaniciu: Complete Valvular Heart Apparatus Model from 4D Cardiac CT, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010, MICCAI Young Scientist Award - Sasa Grbic and Razvan Ionasec
Y. Zheng, M. John, R. Liao, J. Boese, B. Georgescu, K. Zhou, T. Walter, G. Brockmann, D. Comaniciu: Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010
X. Lu, B. Georgescu, M.P. Jolly, J. Guehring, A.Young, B. Cowan, A. Littmann, D. Comaniciu: Cardiac Anchoring in MRI through Context Modeling, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010
D. Vitanovski, A. Tsymbal, R. Ionasec, B. Georgescu, M. Huber, A. Taylor, S. Schievano, S.K. Zhou, J. Hornegger, D. Comaniciu: Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment using CT and MRI Imaging, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010
J. Feulner, S.K. Zhou, M. Huber, A. Cavallaro, J. Hornegger, D. Comaniciu: Model-Based Esophagus Segmentation from CT Scans using a Spatial Probability Map, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010
P. Wang, W.S. Liao, T. Chen, S.K. Zhou, D. Comaniciu: Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010
M. Kelm, S.K. Zhou, M. Suehling, Y. Zheng, M. Wels, D. Comaniciu: Detection of 3D Spinal Geometry using Iterated Marginal Space Learning, Medical Computer Vision, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'10), Beijing, China, 2010
M. Sofka, J. Zhang, S.K. Zhou, D. Comaniciu: Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'10), San Francisco, CA, 2010
J. Feulner, S.K. Zhou, M. Huber, J. Hornegger, D. Comaniciu, A. Cavallaro: Lymph Node Detection in 3-D Chest CT using a Spatial Prior Probability, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'10), San Francisco, CA, 2010
D. Liu, K.S. Zhou, D. Bernhardt, D. Comaniciu: Search Strategies for Multiple Landmark Detection by Submodular Maximization, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'10), San Francisco, CA, 2010
P. Wang, M. Pfister, T. Chen, D. Comaniciu: Using Needle Detection and Tracking for Motion Compensation in Abdominal Interventions, IEEE Int'l Symposium Biomedical Imaging (ISBI'10), Rotterdam, The Netherlands, 2010

2009

B. Han, Y. Zhu, D. Comaniciu, L.S. Davis: Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework, IEEE Trans. Pattern Analysis Machine Intell., 31(5): 919-930, 2009
S. Seifert, A. Barbu, S.K. Zhou, D. Liu, J. Feulner, M. Huber, M. Sühling, A. Cavallaro, D. Comaniciu: Hierarchical Parsing and Semantic Navigation of Full Body CT Data, SPIE Medical Imaging, Orlando, FL, 2009
R. Ionasec, Y. Wang, B. Georgescu, I. Voigt, N. Navab, D. Comaniciu: Robust Motion Estimation using Trajectory Spectrum Learning: Application to Aortic and Mitral Valve Modeling from 4D TEE, IEEE Int'l Conf. Computer Vision and Pattern Recognition (ICCV'09), Kyoto, Japan, 2009
T. Chen, W. Zhang, S. Good, K.S. Zhou, D. Comaniciu: Automatic Ovarian Follicle Quantification from 3D Ultrasound Data Using Global/Local Context with Database Guided Segmentation, IEEE Int'l Conf. Computer Vision (ICCV'09), Kyoto, Japan, 2009
Y. Zheng, B. Georgescu, D. Comaniciu: Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images, Information Processing in Medical Imaging (IPMI'09), Williamsburg, VA, 2009
X. Lu, B. Georgescu, A. Littmann, E. Mueller, D. Comaniciu: Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice, Functional Imaging and Modeling of the Heart (FIMH), Nice, France, 457-465, 2009
Y. Zheng, X. Lu, B. Georgescu, A. Littmann, E. Mueller, D. Comaniciu: Robust Object Detection using Marginal Space Learning and Ranking-Based Multi-Detector Aggregation: Application to Left Ventricle Detection in 2D MRI Images, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009
S. Feng, S.K. Zhou, S. Good, D. Comaniciu: Automatic Fetal Face Detection from Ultrasound Volumes via Learning 3D and 2D Information, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009
Y. Zheng, B. Georgescu, H. Lingm S.K. Zhou, M. Scheuering, D. Comaniciu: Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'09), Miami, FL, 2009
W. Zhang, H. Ling, S. Prummer, K.S. Zhou, M. Ostermeier, D. Comaniciu: Coronary Tree Extraction using Motion Layer Separation, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009
Y. Zhu, S. Prummer, P. Wang, T. Chen, M. Ostermeier, D. Comaniciu: Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009
M. Wels, Y. Zheng, G. Carneiro, M. Huber, J. Hornegger, D. Comaniciu: Fast and Robust 3D MRI Brain Structure Segmentation, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009
J. Feulner, S.K. Zhou, A. Cavallaro, S. Seifert, J. Hornegger, D. Comaniciu: Segmentation of the Esophagus from 3D CT Data using a Probabilistic Model, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009
R. Ionasec, I. Voigt, B. Georgescu, Y. Wang, H. Houle, J. Hornegger, N. Navab, D. Comaniciu: Personalized Modeling and Assessment of the Aortic-Mitral Valve Coupling from 4D TEE and CT, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009
D. Vitanovski, R. Ionasec, B. Georgescu, M. Huber, A. Taylor, J. Hornegger, D. Comaniciu: Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'09), London, UK, 2009

2008

Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, D. Comaniciu: Four-Chamber Heart Modeling and Automatic Segmentation for 3D Cardiac CT Volumes using Marginal Space Learning and Steerable Features, IEEE Trans. Medical Imaging, 27(11), 1668-1681, 2008
B. Han, D. Comaniciu, Y. Zhu, L.S. Davis: Sequential Kernel Density Approximation: Application to Real-Time Visual Tracking, IEEE Trans. Pattern Analysis Machine Intell., 30(7): 1186-1197, 2008
G. Carneiro, B. Georgescu, S. Good, D. Comaniciu: Detection and Measurement of Fetal Anatomies from Ultrasound Images using Constrained Probabilistic Boosting Tree, IEEE Trans. Medical Imaging, 27(9): 1342-1355, 2008
H. Ling, Y. Zheng, B. Georgescu, S.K. Zhou, M. Suehling, D. Comaniciu: Hierarchical Learning-based Automatic Liver Segmentation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
L. Yang, B. Georgescu, Y. Zheng, P. Meer, D. Comaniciu: 3D Ultrasound Tracking of the Left Ventricles Using One-Step Forward Prediction and Data Fusion of Collaborative Trackers, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
L. Lu, A. Barbu, M. Wolf, J. Liang, M. Salganicoff, D. Comaniciu: Accurate Polyp Segmentation for 3D CT Colonography uSing Multi-Staged Probabilistic Binary Learning and Compositional Model, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
J. Zhang, S.K. Zhou, D. Comaniciu, M. Leonard: Conditional Density Learning via Regression with Application to Deformable Shape Segmentation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
G. Carneiro, F. Amat, B. Georgescu, S. Good, D. Comaniciu: Semantic-based Indexing of Fetal Anatomies from 3-D Ultrasound Data Using Global/Semi-local Context and Sequential Sampling, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'08), Anchorage, Alaska, 2008
M. Wels, G. Carneiro, A. Aplas, D. Comaniciu, J. Hornegger: A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
R. Ionasec, B. Georgescu, E. Gassner, S. Vogt, O. Kutter, M. Scheuering, N. Navab, D. Comaniciu: Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
J.H. Park, S.K. Zhou, D. Comaniciu: Automatic Mitral Valve Inflow Measurements from Doppler Echocardiography, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
J.H. Park, S.K. Zhou, D. Comaniciu: AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram, Int'l Conf. Medical Image Computing and Computer Assisted Intervention, (MICCAI'08), New York, NY 2008
L. Yang, B. Georgescu, Y. Zheng, D.J. Foran, D. Comaniciu: A Fast and Accurate Tracking Algorithm of Left Ventricle in 3D Echocardiography, IEEE Int'l Symposium Biomedical Imaging (ISBI'08), Paris, France, 2008
X. Lu, B. Georgescu, Y. Zheng, J. Otsuki, D. Comaniciu: Automatic Detection of Standard Planes in 3D Echocardiography, IEEE Int'l Symposium Biomedical Imaging (ISBI'08), Paris, France, 2008
R. Socher, A. Barbu, D. Comaniciu: A Learning-Based Hierarchical Model for Vessel Segmentation, IEEE Int'l Symposium Biomedical Imaging (ISBI'08), Paris, France, 2008
J. Zhang, S.k. Zhou, L. McMillan, D. Comaniciu: Discriminative Learning for Deformable Shape Segmentation: A Comparative Study, European Conf. Computer Vision (ECCV'08), Marseille, France, 2008
L.Lu, A. Barbu, M. Wolf, J. Liang, L. Bogoni, M. Salganicoff, D. Comaniciu: Simultaneous Detection and Registration for Ileocecal Valve Detection in 3D CT Colonography, European Conf. Computer Vision (ECCV'08), Marseille, France, 2008

2007

Y. Zheng, A. Barbu, B. Georgescu, M. Scheuering, D. Comaniciu: Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal space Learning and Steerable Features, IEEE Int'l Conf. Computer Vision (ICCV'07), Rio de Janeiro, Brazil, 2007
S.K. Zhou, F. Guo, J. Park, G. Carneiro, J. Jackson, M. Brendel, C. Simopoulos, J. Otsuki, D. Comaniciu: A Probabilistic, Hierarchical and Discriminant Framework for Rapid and Accurate Detection of Deformable Anatomic Structures, IEEE Int'l Conf. Computer Vision (ICCV'07), Rio de Janeiro, Brazil, 2007
J. Park, S.K. Zhou, J. Otsuki, C. Simopoulos, D. Comaniciu: Automatic Cardiac View Classification of Echocardiogram, IEEE Int'l Conf. Computer Vision (ICCV'07), Rio de Janeiro, Brazil, 2007
S.K. Zhou, D. Comaniciu: Shape Regression Machine, Information Processing in Medical Imaging (IPMI'07), Kerkrade, The Netherlands, 2007
A. Barbu, V. Athitsos, B. Georgescu, S. Boehm, P. Durlak, D. Comaniciu: Hierarchical Learning of Curves: Application to Guidewire Localization in Fluoroscopy, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, 2007
J. Zhang, S.K. Zhou, L. McMillan, D. Comaniciu: Joint Real-Time Object Detection and Pose Estimation Using Probabilistic Boosting Network, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, 2007
S.K. Zhou, J. Zhou, D. Comaniciu: A Boosting Regression Approach to Medical Anatomy Detection, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, 2007
G. Carneiro, B. Georgescu, S. Good, D. Comaniciu: Automatic Fetal Measurements in Ultrasound using Constrained Probabilistic Boosting Tree, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'07), Brisbane, Australia, 2007

2006

T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, T.S. Huang: Total Variation Models for Variable Lighting Face Recognition, IEEE Trans. Pattern Analysis and Machine Intell., 2006
Y. Zhu, D. Comaniciu, M. Pellkofer, T. Koehler: Reliable Detection of Overtaking Vehicles Using Robust Information Fusion , IEEE Trans. Intelligent Transportation Systems, Vol. 7, No. 4, 401-414, 2006
Z. Tu, X.S. Zhou, A. Barbu, L. Bogoni, D. Comaniciu: Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006
S.K. Zhou, J.H. Park, B. Georgescu, C. Simopoulos, J. Otsuki, D. Comaniciu: Image-based multiclass boosting and echocardiographic view classification, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006
S.K. Zhou, J. Shao, B. Georgescu, D. Comaniciu: BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation, IEEE Int'l Conf. Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006
J. Xiao, B. Georgescu, X.S. Zhou, D. Comaniciu, T. Kanade: Simultaneous Registration and Modeling of Deformable Shapes, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006
J. Freund, D. Comaniciu, Y. Ioannis, P. Liu, R. McClatchey, E. Moley-Fletcher, X. Pennec, G. Pongiglione, X.S. Zhou: Health-e-Child: An Integrated Biomedical Platform for Grid-Based Pediatrics, Health-Grid, 2006
W. Hong, B. Georgescu, X.S. Zhou, S. Krishnan, Y. Ma, D. Comaniciu: Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data, European Conf. Computer Vision (ECCV'06), Graz, Austria, 2006
Z. Tu, X.S. Zhou, D. Comaniciu, L. Bogoni: A Learning Based Approach for 3D Segmentation and Colon Detagging, European Conf. Computer Vision (ECCV'06), Graz, Austria, 2006
Y. Zheng, X.S. Zhou, B. Georgescu, S.K. Zhou, D. Comaniciu: Example Based Non-rigid Shape Detection, European Conf. Computer Vision (ECCV'06), Graz, Austria, 2006
S.K. Zhou, J. Shao, B. Georgescu, D. Comaniciu: Pairwise Active Appearance Model and its Application to Echocardiography Tracking, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Copenhagen, Denmark, LNCS 4190, 736-743, 2006
A. Barbu, L. Bogoni, D. Comaniciu: Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'06), Copenhagen, Denmark, LNCS 4191, 462-470, 2006
S. Lakare, A. Barbu, M. Dundar, M. Wolf; L. Bogoni, D. Comaniciu: Learning-based Component for Suppression of Rectal Tube False Positives: Evaluation of Performance on 780 CTC Cases, RSNA Scientific Sessions, Chicago, IL, 2006

2005

K Okada, D. Comaniciu, A. Krishnan: Robust Anisotropic Gaussian Fitting for Volumetric Characterization of Pulmonary Nodules in Multislice CT, IEEE Trans. Medical Imaging, Vol. 24, No. 3, 409-423, 2005
X.S. Zhou, D. Comaniciu, A. Gupta: An Information Fusion Framework for Robust Shape Tracking, IEEE Trans. Pattern Analysis Machine Intell.,Vol. 27, No. 1, 115-129, 2005
B. Georgescu, S. Zhou, D. Comaniciu, A. Gupta: Database-Guided Segmentation of Anatomical Structures with Complex Appearance, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, 2005
T. Chen, W. Yin, X.S. Zhou, D. Comaniciu, T.S. Huang: Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, 2005
B. Han, D. Comaniciu, Y. Zhu, L. Davis: Kernel-Based Bayesian Filtering for Object Tracking, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, 2005
S.K. Zhou, B. Georgescu, X.S. Zhou, D. Comaniciu: Image-Based Regression Using Boosting Method, IEEE Int'l Conf. Computer Vision (ICCV'05), China, 2005

2004

D. Comaniciu, X.S. Zhou, S. Krishnan: Robust Real-Time Tracking of Myocardial Border: An Information Fusion Approach, IEEE Trans. Medical Imaging, Vol. 23, No. 7, 849-860, 2004
D. Barash, D. Comaniciu: A Common Framework for Nonlinear Diffusion, Adaptive Smoothing, Bilateral Filtering and Mean Shift, Image and Video Computing, Vol. 22, No. 1, 73-81, 2004
B. Han, D. Comaniciu, L. Davis: Sequential Kernel Density Approximation through Mode Propagation: Applications to Background Modeling, Asian Conf. Computer Vision (ACCV'04), Jeju Island, Korea, 2004
Y. Zhu, D. Comaniciu, M. Pellkofer, T. Koehler: Passing Vehicle Detection from Dynamic Background using Robust Information Fusion, IEEE Int. Conf. Intelligent Transportation Systems (ITS'04), Washington, DC, 2004
K Okada, D. Comaniciu, A. Krishnan: Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'04), Washington, DC, 2004
B. Han, D. Comaniciu, Y. Zhu, L. Davis: Incremental Density Approximation and Kernel-based Bayesian Filtering for Object Tracking, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'04), Washington, DC, 2004
X.S. Zhou, D. Comaniciu, R. Cruceanu, B. Xie, A. Gupta: A Unified Framework forUncertainty Propagation in Automatic Shape Tracking, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'04), Washington, DC, 2004
K. Okada, D. Comaniciu, N. Dalal, A. Krishnan: A Robust Algorithm for Characterizing Anisotropic Local Structures, European Conf. Computer Vision (ECCV'04), Prague, Czech Republic, 2004
X.S. Zhou, D. Comaniciu, S. Krishnan: Coupled-Contour Tracking through Non-orthogonal Projections and Fusion for Echocardiography, European Conf. Computer Vision (ECCV'04), Prague, Czech Republic, 2004
B. Georgescu, D. Comaniciu, T. Han, X.S. Zhou: Multi-Model Component-based Tracking using Robust Information Fusion, 2nd Workshop on Statistical Methods in Video Processing (with ECCV04), Prague, Czech Republic, 2004
B. Georgescu, X.S. Zhou, D. Comaniciu, B. Rao: Real-Time Multi-Model Tracking of Myocardium in Echocardiography using Robust Information Fusion, Int'l Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'04), France 2004
K Okada, D. Comaniciu, A. Krishnan: Robust 3D Segmentation of Pulmonary Nodules in Multislice CT Images, Int'l Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'04), France, 2004

2003

D. Comaniciu, V. Ramesh, P. Meer: Kernel-Based Object Tracking, IEEE Trans. Pattern Analysis Machine Intell., Vol. 25, No. 5, 564-575, 2003
D. Comaniciu: An Algorithm for Data-Driven Bandwidth Selection, IEEE Trans. Pattern Analysis Machine Intell., Vol. 25, No. 2, 281-288, 2003
D. Comaniciu, P. Meer, D. Tyler: Dissimilarity Computation through Low Rank Corrections, Pattern Recognition Letters, Vol. 24, No. 1-3, 227-236, 2003
D. Comaniciu: Nonparametric Information Fusion for Motion Estimation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'03), Madison, Wisconsin, Vol. 1, 59-66, 2003
B. Xie, D. Comaniciu, V. Ramesh, M. Simon, T. Boult: Component Fusion for Face Detection in the Presence of Heteroscedastic Noise, Annual Conf. of the German Society for Pattern Recognition (DAGM'03), Magdeburg, Germany, 434-441, 2003
D. Comaniciu: Robust Information Fusion using Variable-Bandwidth Density Estimation, 6th ISIF/IEEE Int. Conf. Information Fusion (Fusion'03), Cairns, Queensland, Australia, 2003
X.S. Zhou, D. Comaniciu, A. Krishnan: Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection, IEEE Int. Conf. Computer Vision (ICCV'03), Nice, France, 2003

2002

D. Comaniciu, P. Meer: Mean Shift: A Robust Approach toward Feature Space Analysis, IEEE Trans. Pattern Analysis Machine Intell., Vol. 24, No. 5, 603-619, 2002
D. Comaniciu, R. Grisel: Image Coding using Transform Vector Quantization with Training Set Synthesis, Signal Processing, Vol. 82, No. 11, 1649-1663, 2002
D. Comaniciu, F. Berton, V. Ramesh: Adaptive Resolution System for Distributed Surveillance, Real Time Imaging, Vol. 8, No. 5, 427-437, 2002
J. Williams, H. Tek, D. Comaniciu: 3-Dimensional Interactive Vascular Postprocessing Techniques: Industrial Perspective, (Invited), in Angiography and Plaque Imaging: Advanced Segmentation Techniques, Suri and Laxminarayan (Eds), CRC Press, 2002
D. Comaniciu, P. Meer: Cell Image Segmentation for Diagnostic Pathology, (Invited), in Advanced Algorithmic Approaches to Medical Image Segmentation, Suri, Setarehdan, and Singh (Eds), ISBN: 1-85233-389-8, Springer, 2002

H. Tek, M. Berghtoldt, D. Comaniciu, J. Williams: Segmentation of 3D Medical Structures using Robust Ray Propagation, Int. Conf. Medical Image Computing and Computer Assisted Intervention (MICCAI'02), Tokyo, Japan, Vol.1 , 572-579, 2002
A. Del Bue, D. Comaniciu, V. Ramesh, C. Regazzoni: Smart Cameras with Real-Time Video Object Generation, IEEE Int. Conf. Image Processing (ICIP'02), Rochester, NY, Vol. 3, 429-432, 2002
D. Comaniciu: Image Segmentation using Clustering with Saddle Point Detection, IEEE Int. Conf. Image Processing (ICIP'02), Rochester, NY, Vol. 3, 297-300, 2002
D. Comaniciu: Bayesian Kernel Tracking, Annual Conf. of the German Society for Pattern Recognition (DAGM'02), Zurich, Switzerland, 438-445, 2002
D. Comaniciu, V. Ramesh, A. Del Bue: Multivariate Saddle Point Detection for Statistical Clustering, European Conf. Computer Vision (ECCV'02), Copenhagen, Denmark, Vol. 3, 561-576, 2002
Y. Zhu, D. Comaniciu, S. Schwartz, V. Ramesh: Multimodal Data Representations with Parameterized Local Structures, European Conf. Computer Vision (ECCV'02), Copenhagen, Denmark, Vol. 1, 173-189, 2002
D. Comaniciu, V. Ramesh: Illumination Invariant Video Segmentation, 36th Conf. Information Sciences and Systems (CISS'02), Princeton NJ, 2002

2001

D. Comaniciu, V. Ramesh, P. Meer: The Variable Bandwidth Mean Shift and Data-Driven Scale Selection, IEEE Int. Conf. Computer Vision (ICCV'01), Vancouver, Canada, Vol. 1, 438-445, 2001
M. Greiffenhagen, D. Comaniciu, H. Niemann, V. Ramesh: Design, Analysis and Engineering of Video Monitoring Systems: An Approach and a Case Study, Proceedings of the IEEE on Third Generation Surveillance Systems, Vol. 89, No. 10, 1498-1517, 2001
H. Tek, D. Comaniciu, J. Williams: Vessel Detection by Mean-Shift Based Ray Propagation, IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, Hawaii, 2001
Y. Zhu, D. Comaniciu, V. Ramesh, S. Schwartz: Parametric Representations for Nonlinear Modeling of Visual data, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'01), Hawaii, Vol. 2, 553-560, 2001

2000

D. Comaniciu, V. Ramesh, P. Meer: Real-Time Tracking of Non-Rigid Objects using Mean Shift, BEST PAPER AWARD, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'00), Hilton Head Island, South Carolina, Vol. 2, 142-149, 2000
M. Greiffenhagen, V. Ramesh, D. Comaniciu, Heinrich Niemann: Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'00), Hilton Head Island, South Carolina, Vol. 2, 335-342, 2000
D. Comaniciu, V. Ramesh: Mean Shift and Optimal Prediction for Efficient Object Tracking, IEEE Int. Conf. Image Processing (ICIP'00), Vancouver, Canada, Vol. 3, 70-73, 2000
D. Comaniciu, V. Ramesh: Robust Detection and Tracking of Human Faces with an Active Camera, IEEE Int. Workshop on Visual Surveillance, Dublin, Ireland, 11-18, 2000

D.J. Foran, D. Comaniciu, P. Meer, L.A. Goodell: Computer-Assisted Discrimination among Malignant Lymphomas and Leukemia, IEEE Trans. Information Technology in Biomedicine, Vol. 4, 265-273, 2000

1999

D. Comaniciu, P. Meer: Mean Shift Analysis and Applications, IEEE Int. Conf. Computer Vision (ICCV'99), Kerkyra, Greece, 1197-1203, 1999
D. Comaniciu, P. Meer: Distribution Free Decomposition of Multivariate Data, (Invited), Pattern Analysis and Applications, Vol. 2, 22-30, 1999
D. Comaniciu, P. Meer, D. Foran: Image Guided Decision Support System for Pathology, Machine Vision and Applications, Vol. 11, No. 4, 213-224, 1999

1998

D. Comaniciu, P. Meer, D. Foran, A. Medl: Bimodal System for Interactive Indexing and Retrieval of Pathology Images, IEEE Workshop on Applications of Computer Vision, Princeton, NJ, 1998. Video

1997

D. Comaniciu, P. Meer: Robust Analysis of Feature Spaces: Color Image Segmentation, IEEE Conf. Computer Vision and Pattern Recognition (CVPR'97), San Juan, Puerto Rico, 750-755, 1997

Maintained since May 1996. Updated 2025.