D. Comaniciu

发表

Mean Shift: A Robust Approach Toward Feature Space Analysis

Dorin Comaniciu, Peter Meer, D. Comaniciu, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Robust analysis of feature spaces: color image segmentation

Dorin Comaniciu, Peter Meer, D. Comaniciu, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Mean shift analysis and applications

Dorin Comaniciu, Peter Meer, D. Comaniciu, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

The Variable Bandwidth Mean Shift and Data-Driven Scale Selection

Dorin Comaniciu, Visvanathan Ramesh, Peter Meer, 2001, ICCV.

An Algorithm for Data-Driven Bandwidth Selection

Dorin Comaniciu, D. Comaniciu, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

The variable bandwidth mean shift and data-driven scale selection

D. Comaniciu, P. Meer, Visvanathan Ramesh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images

D. Comaniciu, B. Georgescu, Viorel Mihalef, 2011, Interface Focus.

3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data

Dorin Comaniciu, Yefeng Zheng, Hien Nguyen, 2015, MICCAI.

Kernel-Based Object Tracking

Dorin Comaniciu, Visvanathan Ramesh, Peter Meer, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Real-time tracking of non-rigid objects using mean shift

Dorin Comaniciu, Visvanathan Ramesh, Peter Meer, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

A Robust Algorithm for Characterizing Anisotropic Local Structures

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2004, ECCV.

A learning based hierarchical model for vessel segmentation

Dorin Comaniciu, Adrian Barbu, Richard Socher, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Nonparametric robust methods for computer vision

Dorin Comaniciu, Peter Meer, D. Comaniciu, 2000 .

Incremental density approximation and kernel-based Bayesian filtering for object tracking

L. Davis, Bohyung Han, D. Comaniciu, 2004, CVPR 2004.

Multi-model Component-Based Tracking Using Robust Information Fusion

Dorin Comaniciu, Tony X. Han, Xiang Sean Zhou, 2004, ECCV Workshop SMVP.

Distribution Free Decomposition of Multivariate Data

Dorin Comaniciu, Peter Meer, D. Comaniciu, 1998, Pattern Analysis & Applications.

Segmentation of 3D Medical Structures Using Robust Ray Propagation

Dorin Comaniciu, Hüseyin Tek, Martin Bergtholdt, 2002, MICCAI.

A discriminative model-constrained EM approach to 3D MRI brain tissue classification and intensity non-uniformity correction

D. Comaniciu, J. Hornegger, Yefeng Zheng, 2011, Physics in medicine and biology.

A machine-learning approach for computation of fractional flow reserve from coronary computed tomography.

D. Comaniciu, T. Flohr, B. Georgescu, 2016, Journal of applied physiology.

Illumination normalization for face recognition and uneven background correction using total variation based image models

Dorin Comaniciu, Thomas S. Huang, Wotao Yin, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Multivariate Saddle Point Detection for Statistical Clustering

Alessio Del Bue, Dorin Comaniciu, Visvanathan Ramesh, 2002, ECCV.

A note on future research in segmentation techniques applied to neurology, cardiology, mammography and pathology

D. Comaniciu, S. Setarehdan, Sameer Singh, 2001 .

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Dorin Comaniciu, Thomas Flohr, Zhoubing Xu, 2020, Radiology. Artificial intelligence.

Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging.

D. Comaniciu, Nassir Navab, T. Heimann, 2015, Medical physics.

Learning-based Detection and Tracking in Medical Imaging : A Robust Information-Fusion Approach

D. Comaniciu, B. Georgescu, R. Ionasec, 2012 .

A book chapter template < 1 Similarity Learning For Motion Estimation

D. Comaniciu, S. Zhou, B. Georgescu, 2009 .

Personalized blood flow computations: A hierarchical parameter estimation framework for tuning boundary conditions

D. Comaniciu, Puneet S. Sharma, L. Itu, 2017, International journal for numerical methods in biomedical engineering.

3 D Anisotropic Hybrid Network : Transferring Convolutional Features from 2 D Images to 3 D Anisotropic Volumes

Siqi Liu, D. Comaniciu, A. Jerebko, 2018 .

Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.

D. Comaniciu, D. Dey, P. Slomka, 2019, Journal of the American College of Cardiology.

3D Printing, Computational Modeling, and Artificial Intelligence for Structural Heart Disease.

D. Comaniciu, S. Engelhardt, W. O’Neill, 2020, JACC. Cardiovascular imaging.

Accurate Regression-based 4D Mitral Valve Segmentation from 2D MRI Slices

D. Comaniciu, G. Funka-Lea, J. Hornegger, 2011 .

Comparison of Fractional Flow Reserve Based on Computational Fluid Dynamics Modeling Using Coronary Angiographic Vessel Morphology Versus Invasively Measured Fractional Flow Reserve.

Dorin Comaniciu, Thomas Redel, Tiziano Passerini, 2016, The American journal of cardiology.

A Feedback Control Framework for Personalization of Coronary Flow Simulations during Rest and Hyperemia

D. Comaniciu, Puneet S. Sharma, A. Kamen, 2012 .

Autonomous Detection and Classification of PI-RADS Lesions in an MRI Screening Population Incorporating Multicenter-Labeled Deep Learning and Biparametric Imaging: Proof of Concept

D. Comaniciu, Bibo Shi, D. Boll, 2020, Diagnostics.

Towards Personalized Cardiology: Multi-Scale Modeling of the Failing Heart

Karen S. Frese, D. Comaniciu, Tommaso Mansi, 2015, PloS one.

Robust information fusion using variable-bandwidth density estimation

Dorin Comaniciu, D. Comaniciu, D. Comaniciu, 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information

Dorin Comaniciu, Shaohua Kevin Zhou, Shaolei Feng, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Distribution Free Decomposition of Multivariate Data

D. Comaniciu, P. Meer, Peter, 1998, Pattern Analysis & Applications.

A Framework for the Pre-clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation

Dorin Comaniciu, Tommaso Mansi, Henry R. Halperin, 2013, STACOM.

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.

Florin C. Ghesu, D. Comaniciu, J. Hornegger, 2016, IEEE transactions on medical imaging.

Model-Based Esophagus Segmentation from CT Scans Using a Spatial Probability Map

Dorin Comaniciu, Shaohua Kevin Zhou, Joachim Hornegger, 2010, MICCAI.

Progressive data transmission for anatomical landmark detection in a cloud.

M Sofka, K Ralovich, J Zhang, 2012, Methods of information in medicine.

Automatic Localization of Balloon Markers and Guidewire in Rotational Fluoroscopy with Application to 3D Stent Reconstruction

Dorin Comaniciu, Terrence Chen, Christopher Rohkohl, 2012, ECCV.

Automatic cardiac flow quantification on 3D volume color Doppler data

Dorin Comaniciu, Yang Wang, Bogdan Georgescu, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram

Günter Lauritsch, Dorin Comaniciu, Joachim Hornegger, 2011, MICCAI.

Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation.

D. Comaniciu, D. Boll, E. Gibson, 2020, European journal of radiology.

Fractal Clustering and Knowledge-driven Validation Assessment for Gene Expression Profiling

D. Comaniciu, Lu-Yong Wang, A. Balasubramanian, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19

Florin C. Ghesu, D. Comaniciu, W. Gefter, 2022, Journal of medical imaging.

Result 3 D Volume Segmenting Left Atrium Chamber and Appendage with a Model-Based Approach Segmenting Four Major Pulmonary Veins under Statistical Shape Constraints Refining Ostia Region Determining Exact Boundary between Different Parts Extracting Right Middle Pulmonary Veins Generating

D. Comaniciu, Dong Yang, Yefeng Zheng, 2013 .

An Automatic Molecular Diagnosis Approach Based on Boosting Classification for ALS disease

Dorin Comaniciu, Lu-Yong Wang, Amit Chakraborty, 2005, METMBS.

Scale selection for anisotropic scale-space: application to volumetric tumor characterization

D. Comaniciu, K. Okada, A. Krishnan, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Early diagnosis of acute coronary syndrome

Dorin Comaniciu, Martin Möckel, Matthias G. Friedrich, 2017, European heart journal.

Robust ultrasound image analysis using learning

Dorin Comaniciu, D. Comaniciu, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Three-Dimensional Interactive Vascular Postprocessing Techniques: Industrial Perspective

Brian B. Avants, Dorin Comaniciu, Huseyin Tek, 2003 .

Morphologica l and Functional Modeling of the Heart Valves and Chambers

Dorin Comaniciu, Dime Vitanovski, Razvan Ioan Ionasec, 2011 .

Aortic and Mitral Valve Modeling From Multi-Modal Image Data

Dorin Comaniciu, Tommaso Mansi, Sasa Grbic, 2016 .

to identify system and process and compare anatomical structures using appearance of shape and

Dorin Comaniciu, Bogdan Georgescu, R. Bharat Berwyn Rao, 2004 .

Fractional flow reserve decision support system

Dorin Comaniciu, Puneet Sharma, Tiziano Passerini, 2017 .

System and method for detecting an occupant and a head position by using stereo detectors

Dorin Comaniciu, Thorsten Köhler, Binglong Bethlehem Xie, 2004 .

Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation

Dorin Comaniciu, Sasa Grbic, Andreas Maier, 2021, Bildverarbeitung für die Medizin.

Self-supervised Learning from 100 Million Medical Images pdf

Dorin Comaniciu, Sasa Grbic, James M. Balter, 2022, ArXiv.

Marginal Space Learning for Medical Image Analysis

Dorin Comaniciu, Yefeng Zheng, D. Comaniciu, 2014, Springer New York.

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

Dorin Comaniciu, Thomas Flohr, Sasa Grbic, 2020, European Radiology.

A Framework to Train An Intelligent Agent for Image Registration Problem Formulation

D. Comaniciu, Tommaso Mansi, A. Kamen, 2017 .

Towards Pre-Clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation

H. Halperin, D. Comaniciu, D. Herzka, 2013 .

Reply to Liu et al.

D. Comaniciu, T. Flohr, B. Georgescu, 2018, Journal of applied physiology.

Marginal Space Learning for Fast Detection in Large Dimensional Spaces

D. Comaniciu, Adrian Barbu, B. Georgescu, 2007 .

A Validation Study of the Deep-Learning-Based Prostate Imaging Reporting and Data System Scoring Algorithm

D. Comaniciu, K. Kumamaru, R. Irie, 2022, Open Journal of Radiology.

The variable bandwidth mean shift and data-driven scale selection

D. Comaniciu, P. Meer, Visvanathan Ramesh, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization pdf

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, IPMI.

Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings

Thomas J. Re, D. Comaniciu, G. Sommer, 2021, Korean journal of radiology.

An information fusion framework for robust shape tracking

Dorin Comaniciu, Alok Gupta, Xiang Sean Zhou, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Nonparametric information fusion for motion estimation

Dorin Comaniciu, D. Comaniciu, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Bayesian Kernel Tracking

Dorin Comaniciu, D. Comaniciu, 2002, DAGM-Symposium.

Mean shift and optimal prediction for efficient object tracking

Dorin Comaniciu, Visvanathan Ramesh, D. Comaniciu, 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

Robust detection and tracking of human faces with an active camera

Dorin Comaniciu, Visvanathan Ramesh, D. Comaniciu, 2000, Proceedings Third IEEE International Workshop on Visual Surveillance.

Statistical modeling and performance characterization of a real-time dual camera surveillance system

Heinrich Niemann, Dorin Comaniciu, Visvanathan Ramesh, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

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

D. Comaniciu, J. Disselhorst, H. Huisman, 2021, Investigative radiology.

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

Dorin Comaniciu, Adrian Barbu, Yefeng Zheng, 2008, IEEE Transactions on Medical Imaging.

Fast tracking of catheters in 2D fluoroscopic images using an integrated CPU-GPU framework

Dorin Comaniciu, Wen Wu, Terrence Chen, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Robust tracking of a virtual electrode on a coronary sinus catheter for atrial fibrillation ablation procedures

Dorin Comaniciu, Wen Wu, Terrence Chen, 2012, Medical Imaging.

Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy

Dorin Comaniciu, Adrian Barbu, Shaohua Kevin Zhou, 2011, CVPR 2011.

Coupled-Contour Tracking through Non-orthogonal Projections and Fusion for Echocardiography

Dorin Comaniciu, Sriram Krishnan, Xiang Sean Zhou, 2004, ECCV.

Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans

Dorin Comaniciu, Donghao Zhang, Ali Kamen, 2020, MICCAI.

Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations

Dorin Comaniciu, Tommaso Mansi, Tiziano Passerini, 2015, FIMH.

A Common Viewpoint on Broad Kernel Filtering and Nonlinear Diffusion

Dorin Comaniciu, Danny Barash, D. Comaniciu, 2003, Scale-Space.

Image-Based Multiclass Boosting and Echocardiographic View Classification

Dorin Comaniciu, Shaohua Kevin Zhou, Bogdan Georgescu, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Simultaneous Registration and Modeling of Deformable Shapes

Jing Xiao, Takeo Kanade, Xiang Zhou, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Fractal clustering for microarray data analysis

Dorin Comaniciu, Lu-Yong Wang, Amit Chakraborty, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

Diagnosis and biomarker identification on SELDI proteomics data by ADTBoost

Dorin Comaniciu, Lu-Yong Wang, Amit Chakraborty, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

Molecular Diagnosis and Biomarker Identification on SELDI proteomics data by ADTBoost method

D. Comaniciu, Lu-Yong Wang, A. Chakraborty, 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

A method for mass candidate detection and an application to liver lesion detection

Dorin Comaniciu, Alexey Tsymbal, Shaohua Kevin Zhou, 2011, Medical Imaging.

Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data

Dorin Comaniciu, Yi Ma, Wei Hong, 2006, ECCV.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

Benjamin Meder, Dorin Comaniciu, Tommaso Mansi, 2014, Lecture Notes in Computer Science.

Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals

Nassir Navab, Jan Haas, Hugo A. Katus, 2014, Medical Image Anal..

Non-Invasive Hemodynamic Assessment of Aortic Coarctation: Validation with In Vivo Measurements

Dorin Comaniciu, Ali Kamen, Lucian Itu, 2013, Annals of Biomedical Engineering.

An integrated framework for finite-element modeling of mitral valve biomechanics from medical images: Application to MitralClip intervention planning

Dorin Comaniciu, Tommaso Mansi, Xudong Zheng, 2012, Medical Image Anal..

Shaping the Future through Innovations: From Medical Imaging to Precision Medicine

Dorin Comaniciu, Tommaso Mansi, Klaus Engel, 2016, Medical Image Anal..

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19 pdf

Youngjin Yoo, Zhoubing Xu, Sasa Grbic, 2020, ArXiv.

Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures

Nassir Navab, Dorin Comaniciu, Yang Wang, 2011, MICCAI.

Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking

Bohyung Han, Larry S. Davis, Ying Zhu, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A deep learning approach for predicting severity of COVID-19 patients using a parsimonious set of laboratory markers

D. Comaniciu, M. S. Singh, A. Kamen, 2021, iScience.

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

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2008, IEEE Transactions on Medical Imaging.

Database-guided segmentation of anatomical structures with complex appearance

Dorin Comaniciu, Alok Gupta, Xiang Sean Zhou, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment

Dorin Comaniciu, Sasa Grbic, Bogdan Georgescu, 2021, Medical Image Anal..

Kernel-based Bayesian filtering for object tracking

Bohyung Han, Larry S. Davis, Ying Zhu, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography

Dorin Comaniciu, Tommaso Mansi, Charles H. Bloodworth, 2017, Medical Image Anal..

Lymph Node Detection and Segmentation in Chest Ct Data Using Discriminative Learning and a Spatial Prior

Dorin Comaniciu, Shaohua Kevin Zhou, Joachim Hornegger, 2022 .

Segmentation Based Features for Lymph Node Detection from 3-D Chest CT

Dorin Comaniciu, Shaohua Kevin Zhou, Joachim Hornegger, 2011, MLMI.

Image-based Co-Registration of Angiography and Intravascular Ultrasound Images

Olivier Ecabert, Dorin Comaniciu, Terrence Chen, 2013, IEEE Transactions on Medical Imaging.

Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation

Dorin Comaniciu, Dong Yang, Yefeng Zheng, 2014, IEEE Transactions on Medical Imaging.

Part-Based Object Detection and Segmentation

Dorin Comaniciu, Yefeng Zheng, D. Comaniciu, 2014 .

A Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans

Dorin Comaniciu, Shaohua Kevin Zhou, Joachim Hornegger, 2011, IEEE Transactions on Medical Imaging.

Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model

Dorin Comaniciu, Shaohua Kevin Zhou, Joachim Hornegger, 2009, MICCAI.

Incremental density approximation and kernel-based Bayesian filtering for object tracking

Bohyung Han, Larry S. Davis, Ying Zhu, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

SEQUENTIAL KERNEL DENSITY APPROXIMATION THROUGH MODE PROPAGATION: APPLICATIONS TO BACKGROUND MODELING

Bohyung Han, Larry S. Davis, Dorin Comaniciu, 2004 .

Hierarchical parsing and semantic navigation of full body CT data

Dorin Comaniciu, Adrian Barbu, Shaohua Kevin Zhou, 2009, Medical Imaging.

Automatic Cardiac View Classification of Echocardiogram

Dorin Comaniciu, Shaohua Kevin Zhou, Jin Hyeong Park, 2007, 2007 IEEE 11th International Conference on Computer Vision.

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes pdf

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

Lattice Boltzmann Method for Fast Patient-Specific Simulation of Liver Tumor Ablation from CT Images

Hervé Delingette, Nicholas Ayache, Dorin Comaniciu, 2013, MICCAI.

Towards Real-Time Cardiac Electrophysiology Computations Using GP-GPU Lattice-Boltzmann Method

Dorin Comaniciu, Tommaso Mansi, Ali Kamen, 2013 .

LBM-EP: Lattice-Boltzmann Method for Fast Cardiac Electrophysiology Simulation from 3D Images

Dorin Comaniciu, Tommaso Mansi, Mihaela Pop, 2012, MICCAI.

Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints

Timo Kohlberger, Dorin Comaniciu, Shaohua Kevin Zhou, 2014, MICCAI.

Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks

Thomas J. Re, D. Comaniciu, H. Meyer, 2021, Scientific Reports.

Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE

Nassir Navab, Dorin Comaniciu, Yang Wang, 2010, IEEE Transactions on Medical Imaging.

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

Dorin Comaniciu, Andreas Maier, Joachim Hornegger, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic Detection and Quantification of Mitral Regurgitation on TTE with Application to Assist Mitral Clip Planning and Evaluation

Dorin Comaniciu, Yang Wang, Patric Biaggi, 2012, CLIP.

Select, Attend, and Transfer: Light, Learnable Skip Connections

Ghassan Hamarneh, Anmol Sharma, Dorin Comaniciu, 2018, MLMI@MICCAI.

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Youngjin Yoo, Mannudeep K. Kalra, Eli Gibson, 2020, Medical Image Anal..

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment pdf

Dorin Comaniciu, Mannudeep K. Kalra, Eli Gibson, 2019, MICCAI.

Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Ghassan Hamarneh, Daguang Xu, Dorin Comaniciu, 2018, Comput. Medical Imaging Graph..

A Discriminative Model-Constrained Graph Cuts Approach to Fully Automated Pediatric Brain Tumor Segmentation in 3-D MRI

Gustavo Carneiro, Dorin Comaniciu, Joachim Hornegger, 2008, MICCAI.

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

Search strategies for multiple landmark detection by submodular maximization

Dorin Comaniciu, Shaohua Kevin Zhou, David Liu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

An Artificial Agent for Robust Image Registration

Dorin Comaniciu, Rui Liao, Pierre de Tournemire, 2016, AAAI.

Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking

Yang Wang, Dorin Comaniciu, Lin Yang, 2011, IEEE Transactions on Medical Imaging.

3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers

Dorin Comaniciu, Lin Yang, Yefeng Zheng, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Automatic Detection and Segmentation of Axillary Lymph Nodes

Xun Xu, Dorin Comaniciu, Adrian Barbu, 2010, MICCAI.

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

Dorin Comaniciu, Shaohua Kevin Zhou, Sasa Grbic, 2018, CIARP.

Cascaded deep decision networks for classification of endoscopic images

Dorin Comaniciu, Terrence Chen, Vivek Singh, 2017, Medical Imaging.

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels pdf

Dorin Comaniciu, Andreas K. Maier, Eli Gibson, 2019, ArXiv.

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks

Florin C. Ghesu, D. Comaniciu, B. Georgescu, 2020, IEEE Transactions on Medical Imaging.

Health-e-Child: An Integrated Biomedical Platform for Grid-Based Pediatrics

Richard McClatchey, Xavier Pennec, Peiya Liu, 2005 .

Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography

Dorin Comaniciu, Alexey Tsymbal, Shaohua Kevin Zhou, 2011, MICCAI.

Robust real-time myocardial border tracking for echocardiography: an information fusion approach

Dorin Comaniciu, Sriram Krishnan, Xiang Sean Zhou, 2004, IEEE Transactions on Medical Imaging.

A probabilistic framework for object recognition in video

Mubarak Shah, Dorin Comaniciu, Omar Javed, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Generating Synthetic X-Ray Images of a Person from the Surface Geometry

Birgi Tamersoy, Dorin Comaniciu, Kai Ma, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Automatic View Planning for Cardiac MRI Acquisition

Dorin Comaniciu, Xiaoguang Lu, Carmel Hayes, 2011, MICCAI.

Cardiac Anchoring in MRI through Context Modeling

Dorin Comaniciu, Alistair A. Young, Xiaoguang Lu, 2010, MICCAI.

Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images

D. Comaniciu, B. Georgescu, Xiaoguang Lu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Cell image segmentation for diagnostic pathology

Dorin Comaniciu, Peter Meer, D. Comaniciu, 2001 .

Image-guided decision support system for pathology

Dorin Comaniciu, Peter Meer, David J. Foran, 1999, Machine Vision and Applications.

Decision support system for multiuser remote microscopy in telepathology

Dorin Comaniciu, Peter Meer, David J. Foran, 1999, Proceedings 12th IEEE Symposium on Computer-Based Medical Systems (Cat. No.99CB36365).

A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift

Dorin Comaniciu, Danny Barash, D. Comaniciu, 2004, Image Vis. Comput..

Design, analysis, and engineering of video monitoring systems: an approach and a case study

Dorin Comaniciu, Visvanathan Ramesh, Michael Greiffenhagen, 2001, Proc. IEEE.

Reliable Detection of Overtaking Vehicles Using Robust Information Fusion

Ying Zhu, Dorin Comaniciu, Martin Pellkofer, 2006, IEEE Transactions on Intelligent Transportation Systems.

Artificial Intelligence in Diagnostic Imaging: Status Quo, Challenges, and Future Opportunities.

D. Comaniciu, T. Flohr, Puneet S. Sharma, 2020, Journal of thoracic imaging.

A self-taught artificial agent for multi-physics computational model personalization

Jan Haas, Hugo A. Katus, Benjamin Meder, 2016, Medical Image Anal..

Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images

Dorin Comaniciu, Yefeng Zheng, Bogdan Georgescu, 2009, IPMI.

Complete Valvular Heart Apparatus Model from 4D Cardiac CT

Nassir Navab, Dorin Comaniciu, Yang Wang, 2010, MICCAI.

Dorin Comaniciu, Peter Meer, David E. Tyler, 2003, Pattern Recognit. Lett..

Patient-specific modeling of left heart anatomy, dynamics and hemodynamics from high resolution 4D CT

Dorin Comaniciu, Yang Wang, Yefeng Zheng, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Towards patient‐specific modeling of mitral valve repair: 3D transesophageal echocardiography‐derived parameter estimation

Dorin Comaniciu, James S. Duncan, Puneet Sharma, 2017, Medical Image Anal..

Estimation of patient-specific material properties of the mitral valve using 4D Transesophageal Echocardiography

Dorin Comaniciu, James S. Duncan, Puneet Sharma, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models

Dorin Comaniciu, Tommaso Mansi, Charles H. Bloodworth, 2014, STACOM.

Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography

Dorin Comaniciu, James S. Duncan, Puneet Sharma, 2013, STACOM.

Exploiting Interactions among Polymorphisms Contributing to Complex Disease Traits with Boosted Generative Modeling

Dorin Comaniciu, Lu-Yong Wang, Daniel P. Fasulo, 2006, J. Comput. Biol..

Complete valvular heart apparatus model from 4D cardiac CT

Nassir Navab, Dorin Comaniciu, Yang Wang, 2012, Medical Image Anal..

A novel coupling algorithm for computing blood flow in viscoelastic arterial models

Dorin Comaniciu, Puneet Sharma, Ali Kamen, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Example Based Non-rigid Shape Detection

Dorin Comaniciu, Shaohua Kevin Zhou, Yefeng Zheng, 2006, ECCV.

Artificial Intelligence with Statistical Confidence Scores for Detection of Acute or Subacute Hemorrhage on Noncontrast CT Head Scans.

Thomas J. Re, D. Comaniciu, Y. Lui, 2022, Radiology. Artificial intelligence.

A framework for personalization of coronary flow computations during rest and hyperemia

Dorin Comaniciu, Puneet Sharma, Ali Kamen, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Total variation models for variable lighting face recognition

Dorin Comaniciu, Thomas S. Huang, Wotao Yin, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment

Nassir Navab, Dorin Comaniciu, Tommaso Mansi, 2013, MICCAI.

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

A Personalized Biomechanical Model for Respiratory Motion Prediction

Nassir Navab, Dorin Comaniciu, Jianwen Zhang, 2012, MICCAI.

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

Dorin Comaniciu, Joachim Hornegger, Yefeng Zheng, 2016, IEEE Transactions on Medical Imaging.

Image-Based Device Tracking for the Co-registration of Angiography and Intravascular Ultrasound Images

Olivier Ecabert, Dorin Comaniciu, Terrence Chen, 2011, MICCAI.

Robust anisotropic Gaussian fitting for volumetric characterization of Pulmonary nodules in multislice CT

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2005, IEEE Transactions on Medical Imaging.

Robust object tracking using semi-supervised appearance dictionary learning

Lei Zhang, Dorin Comaniciu, Wen Wu, 2015, Pattern Recognit. Lett..

Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models

Nassir Navab, Dorin Comaniciu, Tommaso Mansi, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging

Dorin Comaniciu, Alexey Tsymbal, Shaohua Kevin Zhou, 2010, MICCAI.

Aortic valve and ascending aortic root modeling from 3D and 3D+t CT

Dorin Comaniciu, Yefeng Zheng, Sasa Grbic, 2010, Medical Imaging.

Personalized Pulmonary Trunk Modeling for Intervention Planning and Valve Assessment Estimated from CT Data

Dorin Comaniciu, Joachim Hornegger, Andrew Mayall Taylor, 2009, MICCAI.

Personalized Modeling and Assessment of the Aortic-Mitral Coupling from 4D TEE and CT

Nassir Navab, Dorin Comaniciu, Yang Wang, 2009, MICCAI.

Robust motion estimation using trajectory spectrum learning: Application to aortic and mitral valve modeling from 4D TEE

Nassir Navab, Dorin Comaniciu, Yang Wang, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Dynamic Model-Driven Quantitative and Visual Evaluation of the Aortic Valve from 4D CT

Nassir Navab, Dorin Comaniciu, Michael Scheuering, 2008, MICCAI.

Deep Decision Network for Multi-class Image Classification

Dorin Comaniciu, R. Manmatha, Terrence Chen, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Data-Driven Breast Decompression and Lesion Mapping from Digital Breast Tomosynthesis

Dorin Comaniciu, Anna K. Jerebko, B. Michael Kelm, 2012, MICCAI.

Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control

Dorin Comaniciu, Alexey Tsymbal, B. Michael Kelm, 2012, Medical Imaging.

Combined semantic and similarity search in medical image databases

Hans-Peter Kriegel, Dorin Comaniciu, Florian Stegmaier, 2011, Medical Imaging.

Spine detection in CT and MR using iterated marginal space learning

Dorin Comaniciu, Shaohua Kevin Zhou, Yefeng Zheng, 2013, Medical Image Anal..

A parameter estimation framework for patient-specific hemodynamic computations

Dorin Comaniciu, Puneet Sharma, Tiziano Passerini, 2015, J. Comput. Phys..

Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth pdf

Dorin Comaniciu, Boris Mailhé, Sasa Grbic, 2020, ArXiv.

Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice

Dorin Comaniciu, Xiaoguang Lu, Bogdan Georgescu, 2009, FIMH.

Pairwise Active Appearance Model and Its Application to Echocardiography Tracking

Dorin Comaniciu, Shaohua Kevin Zhou, Jie Shao, 2006, MICCAI.

Multi-scale Vessel Boundary Detection

Dorin Comaniciu, Hüseyin Tek, Alper Ayvaci, 2005, CVBIA.

False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans

Bin Lou, Ali Kamen, Berthold Kiefer, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Database-guided breast tumor detection and segmentation in 2D ultrasound images

Dorin Comaniciu, Shaohua Kevin Zhou, Jingdan Zhang, 2010, Medical Imaging.

Contrastive self-supervised learning from 100 million medical images with optional supervision

Florin C. Ghesu, Pragneshkumar B. Patel, D. Comaniciu, 2022, Journal of medical imaging.

3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation

Thomas J. Re, D. Kondziolka, D. Comaniciu, 2023, Medical Imaging.

BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation

Dorin Comaniciu, Shaohua Kevin Zhou, Jie Shao, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Tracking Complex Objects Using Graphical Object Models

Ying Zhu, Dorin Comaniciu, Michael J. Black, 2004, IWCM.

A unified framework for uncertainty propagation in automatic shape tracking

Dorin Comaniciu, Alok Gupta, Binglong Xie, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Dorin Comaniciu, Shaohua Kevin Zhou, Jie Shao, 2009, Semantic Mining Technologies for Multimedia Databases.

User-constrained guidewire localization in fluoroscopy

Jean-Philippe Thiran, Ying Zhu, Dorin Comaniciu, 2009, Medical Imaging.

Conditional feature sensitivity: a unifying view on active recognition and feature selection

Dorin Comaniciu, Arun Krishnan, Xiang Sean Zhou, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN)

Dorin Comaniciu, Shaohua Kevin Zhou, Jingdan Zhang, 2014, IEEE Transactions on Medical Imaging.

Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review.

V. Fuster, D. Comaniciu, D. Dey, 2019, Journal of the American College of Cardiology.

Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2017, MICCAI.

Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge

Sanjeev Kumar Karn, Florin C. Ghesu, D. Comaniciu, 2023, Procedia Computer Science.

An Artificial Agent for Anatomical Landmark Detection in Medical Images

Dorin Comaniciu, Joachim Hornegger, Tommaso Mansi, 2016, MICCAI.

Image based regression using boosting method

Dorin Comaniciu, Shaohua Kevin Zhou, Xiang Sean Zhou, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Model-driven physiological assessment of the mitral valve from 4D TEE

Dorin Comaniciu, Joachim Hornegger, Martin Huber, 2009, Medical Imaging.

Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation

Dorin Comaniciu, Yefeng Zheng, D. Comaniciu, 2014 .

Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features

Dorin Comaniciu, Adrian Barbu, Yefeng Zheng, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Privacy-Preserving and Explainable AI for Cardiovascular Imaging

Andrei PUIU, Anamaria VIZITIU, Cosmin NITA, 2021, Studies in Informatics and Control.

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning

Dorin Comaniciu, Shaohua Kevin Zhou, Yefeng Zheng, 2010, MCV.

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans

Dorin Comaniciu, Eli Gibson, Filiz Bunyak, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Data-Driven Reduction of a Cardiac Myofilament Model

Dorin Comaniciu, Peter J. Hunter, Tommaso Mansi, 2013, FIMH.

Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2007, MICCAI.

Automatic Extraction of 3 D Dynamic Left Ventricle Model From 2 D Rotational Angiocardiogram

D. Comaniciu, G. Funka-Lea, J. Hornegger, 2011 .

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT

Thomas J. Re, P. Grenier, D. Comaniciu, 2020, ArXiv.

Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information

D. Comaniciu, S. Zhou, Shaolei Feng, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Learning-Based Detection and Tracking in Medical Imaging: A Probabilistic Approach

Dorin Comaniciu, Xiaoguang Lu, Terrence Chen, 2013 .

Left ventricle endocardium segmentation for cardiac CT volumes using an optimal smooth surface

Dorin Comaniciu, Yefeng Zheng, Fernando Vega Higuera, 2009, Medical Imaging.

Robust Image-Based Estimation of Cardiac Tissue Parameters and Their Uncertainty from Noisy Data

Hugo A. Katus, Benjamin Meder, Dorin Comaniciu, 2014, MICCAI.

Ultrasound and Fluoroscopic Images Fusion by Autonomous Ultrasound Probe Detection

Dorin Comaniciu, Wen Wu, Terrence Chen, 2012, MICCAI.

Patient-Specific Model of Left Heart Anatomy, Dynamics and Hemodynamics from 4D TEE: A First Validation Study

Dorin Comaniciu, Puneet Sharma, Joachim Hornegger, 2011, FIMH.

Volumetric Myocardial Mechanics from 3D+t Ultrasound Data with Multi-model Tracking

Dorin Comaniciu, Yang Wang, Bogdan Georgescu, 2010, STACOM/CESC.

A Framework of Wire Tracking in Image Guided Interventions

Dorin Comaniciu, Peng Wang, Andreas Meyer, 2011 .

Adaptive Resolution System for Distributed Surveillance

Dorin Comaniciu, Visvanathan Ramesh, Fabio Berton, 2002, Real Time Imaging.

Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context

Daguang Xu, Dorin Comaniciu, Yefeng Zheng, 2017, Deep Learning and Convolutional Neural Networks for Medical Image Computing.

Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation

Gernot Brockmann, Dorin Comaniciu, Rui Liao, 2012, IEEE Transactions on Medical Imaging.

Precise segmentation of the left atrium in C-arm CT volumes with applications to atrial fibrillation ablation

Dorin Comaniciu, Yefeng Zheng, Jan M. Boese, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures

Dorin Comaniciu, Shaohua Kevin Zhou, Yefeng Zheng, 2011, MICCAI.

Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation

Dorin Comaniciu, Shaohua Kevin Zhou, Yefeng Zheng, 2011, MICCAI.

Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization

Dorin Comaniciu, Shaohua Kevin Zhou, Yefeng Zheng, 2010, MLMI.

Fast and Robust 3-D MRI Brain Structure Segmentation

Gustavo Carneiro, Dorin Comaniciu, Joachim Hornegger, 2009, MICCAI.

Constrained marginal space learning for efficient 3D anatomical structure detection in medical images

Dorin Comaniciu, Shaohua Kevin Zhou, Haibin Ling, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Automatic left ventricle detection in MRI images using marginal space learning and component-based voting

Dorin Comaniciu, Xiaoguang Lu, Yefeng Zheng, 2009, Medical Imaging.

Hierarchical, learning-based automatic liver segmentation

Dorin Comaniciu, Shaohua Kevin Zhou, Haibin Ling, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A fast and accurate tracking algorithm of left ventricles in 3D echocardiography

Dorin Comaniciu, Lin Yang, Yefeng Zheng, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes

Dorin Comaniciu, Adrian Barbu, Yefeng Zheng, 2008, SPIE Medical Imaging.

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

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2007 .

Shape Regression Machine

Dorin Comaniciu, Shaohua Kevin Zhou, D. Comaniciu, 2007, IPMI.

Passing vehicle detection from dynamic background using robust information fusion

Ying Zhu, M. Pellkofer, D. Comaniciu, 2004, Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749).

Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography

Dorin Comaniciu, Tommaso Mansi, Razvan Ioan Ionasec, 2014, STACOM.

Complete Valvular Heart Apparatus Model from 4D Cardiac CT

D. Comaniciu, Nassir Navab, B. Georgescu, 2010, MICCAI.

Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy

D. Comaniciu, A. Kamen, Zhoubing Xu, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Multimodal Data Representations with Parameterized Local Structures

Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, 2002, ECCV.

Parametric representations for nonlinear modeling of visual data

Ying Zhu, Dorin Comaniciu, Stuart C. Schwartz, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment

Zhuowen Tu, Dorin Comaniciu, Adrian Barbu, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

A Learning Based Approach for 3D Segmentation and Colon Detagging

Zhuowen Tu, Dorin Comaniciu, Xiang Sean Zhou, 2006, ECCV.

A discriminative model-constrained EM approach to 3D MRI brain tissue classification and intensity non-uniformity correction

D. Comaniciu, J. Hornegger, Yefeng Zheng, 2011, Physics in medicine and biology.

Bimodal system for interactive indexing and retrieval of pathology images

Dorin Comaniciu, Peter Meer, David J. Foran, 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).

for Interactive Indexing and Retrieval of Pat ology Images

Dorin Comaniciu, Peter Meer, David J. Foran, 1998 .

Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy

Dorin Comaniciu, Shaohua Kevin Zhou, Terrence Chen, 2010, MICCAI.

Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study

D. Comaniciu, N. Ayache, X. Pennec, 2015, FIMH.

Automatic Delineation of Left and Right Ventricles in Cardiac MRI Sequences Using a Joint Ventricular Model

Dorin Comaniciu, Yang Wang, Xiaoguang Lu, 2011, FIMH.

Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features

D. Comaniciu, Adrian Barbu, B. Georgescu, 2008, IEEE Transactions on Medical Imaging.

Constrained Marginal Space Learning

Dorin Comaniciu, Yefeng Zheng, D. Comaniciu, 2014 .

Towards intelligent robust detection of anatomical structures in incomplete volumetric data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2018, Medical Image Anal..

Automatic image-to-model framework for patient-specific electromechanical modeling of the heart

Hugo A. Katus, Benjamin Meder, Dorin Comaniciu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Progressive Data Transmission for Anatomical Landmark Detection in a Cloud

D. Comaniciu, S. K. Zhou, Kristof Ralovich, 2012, Methods of Information in Medicine.

Learning cardiac anatomy

Dorin Comaniciu, Yue Zhang, Sasa Grbic, 2020 .

Florin C. Ghesu, D. Comaniciu, S. Kappler, 2020, ArXiv.

Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals

D. Comaniciu, Nassir Navab, Tommaso Mansi, 2014, Medical Image Anal..

ConTrack: Contextual Transformer for Device Tracking in X-ray

Florin C. Ghesu, D. Comaniciu, Yue Zhang, 2023, MICCAI.

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

D. Comaniciu, S. Zhou, J. Hornegger, 2013, Medical Image Anal..

Automatic Detection and Segmentation of Lymph Nodes From CT Data

Xun Xu, Dorin Comaniciu, Adrian Barbu, 2012, IEEE Transactions on Medical Imaging.

Lymph node detection in 3-D chest CT using a spatial prior probability

Dorin Comaniciu, Shaohua Kevin Zhou, Joachim Hornegger, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework

Bohyung Han, Larry S. Davis, Ying Zhu, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hierarchical guidewire tracking in fluoroscopic sequences

Wei Zhang, Ying Zhu, Dorin Comaniciu, 2009, Medical Imaging.

Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy

Dorin Comaniciu, Adrian Barbu, Vassilis Athitsos, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions

Dorin Comaniciu, Alexey Tsymbal, Matthias Hammon, 2011, MCBR-CDS.

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy

D. Comaniciu, A. Kamen, Florin C. Ghesu, 2024, ArXiv.

Flexible-C m GAN: Towards Precise 3D Dose Prediction in Radiotherapy –Supplementary Material–

D. Comaniciu, Zhoubing Xu, B. Lou, 2023 .

Non-Invasive Hemodynamic Assessment of Aortic Coarctation: Validation with In Vivo Measurements

D. Comaniciu, Viorel Mihalef, R. Ionasec, 2012, Annals of Biomedical Engineering.

Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography

Dorin Comaniciu, Adrian Barbu, Le Lu, 2008, ECCV.

Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model

Dorin Comaniciu, Adrian Barbu, Le Lu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Training set synthesis for entropy-constrained transform vector quantization

Dorin Comaniciu, D. Comaniciu, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.