Dorin Comaniciu

发表

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.

Robust discriminative wire structure modeling with application to stent enhancement in fluoroscopy

Dorin Comaniciu, Xiaoguang Lu, Terrence Chen, 2011, CVPR 2011.

Vector quantization of images with the ECMPNN algorithm

Dorin Comaniciu, 1995, Proceedings of 1995 IEEE International Symposium on Information Theory.

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

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

Graph Based Interactive Detection of Curve Structures in 2D Fluoroscopy

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

Bayesian Kernel Tracking

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

Segmentation of 3D Medical Structures Using Robust Ray Propagation

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

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

Dorin Comaniciu, Sebastian Guendel, Arnaud Arindra Adiyoso Setio, 2020, MLMI@MICCAI.

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.

Mean Shift: A Robust Approach Toward Feature Space Analysis

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

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

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

Kernel-Based Object Tracking

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

From Medical Images to Fast Computational Models of Heart Electromechanics: An Integrated Framework towards Clinical Use

Jan Haas, Hugo A. Katus, Benjamin Meder, 2013, FIMH.

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

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

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).

System and method for local deformable motion analysis of a wall of the left ventricle of a heart

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

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.

Complete Valvular Heart Apparatus Model from 4D Cardiac CT

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

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

Dorin Comaniciu, Xiaoguang Lu, Terrence Chen, 2013 .

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.

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

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

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.

Image coding using transform vector quantization with training set synthesis

Dorin Comaniciu, Richard Grisel, 2002, Signal Process..

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

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

Density estimation-based information fusion for multiple motion computation

Dorin Comaniciu, 2002, Workshop on Motion and Video Computing, 2002. Proceedings..

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

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

Automatic Fetal Measurements in Ultrasound Using Constrained Probabilistic Boosting Tree

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

Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease

Nassir Navab, Dorin Comaniciu, Alexey Tsymbal, 2010, Medical Imaging.

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

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

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).

Conditional density learning via regression with application to deformable shape segmentation

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

Computational Fluid Dynamics Framework for Large-Scale Simulation in Pediatric Cardiology

Nassir Navab, Dorin Comaniciu, Razvan Ioan Ionasec, 2012 .

Marginal Space Learning for Medical Image Analysis

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

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

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

Learning cardiac anatomy

Dorin Comaniciu, Yue Zhang, Sasa Grbic, 2020 .

Semantic annotation of medical images

Saikat Mukherjee, Dorin Comaniciu, Michael Kelm, 2010, Medical Imaging.

AutoGate: Fast and Automatic Doppler Gate Localization in B-Mode Echocardiogram

Dorin Comaniciu, Shaohua Kevin Zhou, Jin Hyeong Park, 2008, MICCAI.

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

Dorin Comaniciu, Xiaoguang Lu, Yefeng Zheng, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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

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

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

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

Cell image segmentation for diagnostic pathology

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

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

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

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

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

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

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

Nonparametric robust methods for computer vision

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

Multiple object detection by sequential monte carlo and Hierarchical Detection Network

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

Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images

Jan Haas, Hugo A. Katus, Benjamin Meder, 2014, STACOM.

Performance analysis in content-based retrieval with textures

Dorin Comaniciu, Peter Meer, Kun Xu, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

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

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

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

Total variation models for variable lighting face recognition

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

An Algorithm for Data-Driven Bandwidth Selection

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

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.

Spine detection in CT and MR using iterated marginal space learning

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

Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

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.

A Learning Based Approach for 3D Segmentation and Colon Detagging

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

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..

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).

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).

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.

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

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

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.

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.

Model-Based Estimation of 4D Relative Pressure Map from 4D Flow MR Images

Dorin Comaniciu, Puneet Sharma, Viorel Mihalef, 2013, STACOM.

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.

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

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

Automatic Detection and Segmentation of Axillary Lymph Nodes

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

Combined semantic and similarity search in medical image databases

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

Robust guidewire tracking in fluoroscopy

Wei Zhang, Ying Zhu, Dorin Comaniciu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

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).

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).

Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data

Dorin Comaniciu, Joachim Hornegger, Yefeng Zheng, 2015, MICCAI.

A Framework of Wire Tracking in Image Guided Interventions

Dorin Comaniciu, Peng Wang, Andreas Meyer, 2011 .

A Personalized Biomechanical Model for Respiratory Motion Prediction

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

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

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

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.

Robust pigtail catheter tip detection in fluoroscopy

Peng Wang, Dorin Comaniciu, Yefeng Zheng, 2012, 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.

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

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

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

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

A probabilistic framework for object recognition in video

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

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

Dorin Comaniciu, S. Kevin Zhou, Sara Good, 2009, CVPR.

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

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

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

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

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.

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, 1998, SSPR/SPR.

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.

Image-guided decision support system for pathology

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

Graphics processing unit accelerated one-dimensional blood flow computation in the human arterial tree.

Dorin Comaniciu, Ali Kamen, Constantin Suciu, 2013, International journal for numerical methods in biomedical engineering.

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

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

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

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

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

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

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

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

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).

Towards Patient-Specific Finite-Element Simulation of MitralClip Procedure

Dorin Comaniciu, Tommaso Mansi, Razvan Ioan Ionasec, 2011, MICCAI.

Multi-scale Vessel Boundary Detection

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

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..

Nonrigid Object Segmentation: Application to Four-Chamber Heart Segmentation

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

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

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.

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).

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).

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

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

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.

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

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

Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram

Günter Lauritsch, Dorin Comaniciu, Yefeng Zheng, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Optimal Mean Shape for Nonrigid Object Detection and Segmentation

Dorin Comaniciu, Yefeng Zheng, 2014 .

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.

Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance

Dorin Comaniciu, Tommaso Mansi, Bogdan Georgescu, 2015, MICCAI.

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.

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

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

Automatic Mitral Valve Inflow Measurements from Doppler Echocardiography

Dorin Comaniciu, Shaohua Kevin Zhou, Jin Hyeong Park, 2008, MICCAI.

A Common Viewpoint on Broad Kernel Filtering and Nonlinear Diffusion

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

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

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

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

Dorin Comaniciu, Xiaoguang Lu, Yefeng Zheng, 2009, CVPR.

Fully automatic segmentation of wrist bones for arthritis patients

Marc Pollefeys, Dorin Comaniciu, Alexander G. Schwing, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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.

An information fusion framework for robust shape tracking

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

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

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

Estimating the body portion of CT volumes by matching histograms of visual words

Dorin Comaniciu, Shaohua Kevin Zhou, Joachim Hornegger, 2009, Medical Imaging.

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

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

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).

Vascular landmark detection in 3D CT data

Dorin Comaniciu, S. Kevin Zhou, David Liu, 2011, Medical Imaging.

User-constrained guidewire localization in fluoroscopy

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

Robust ultrasound image analysis using learning

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

Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy

Dorin Comaniciu, Adrian Barbu, Luca Bogoni, 2006, MICCAI.

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

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

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

Olivier Ecabert, Nicholas Ayache, Dorin Comaniciu, 2015, FIMH.

Class-Aware Adversarial Lung Nodule Synthesis In CT Images

Jie Yang, Dorin Comaniciu, Andrew F. Laine, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

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..

Shape-based diagnosis of the aortic valve

Nassir Navab, Dorin Comaniciu, Alexey Tsymbal, 2009, Medical Imaging.

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.

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

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

Multivariate Saddle Point Detection for Statistical Clustering

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

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.

Automatic Detection and Segmentation of Lymph Nodes From CT Data

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

Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices

Dorin Comaniciu, Alexey Tsymbal, Joachim Hornegger, 2011, MLMI.

Towards intelligent robust detection of anatomical structures in incomplete volumetric data

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

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

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

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

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

Computational Decision Support for Percutaneous Aortic Valve Implantation

Gernot Brockmann, Dorin Comaniciu, Joachim Hornegger, 2010, MIAR.

Mobile Interaction with Remote Worlds: The Acoustic Periscope

Dorin Comaniciu, Sandra Sudarsky, Radu Balan, 2001 .

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

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

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.

Fractal clustering for microarray data analysis

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

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

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

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

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

Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images

Dorin Comaniciu, Bernhard Geiger, Sasa Grbic, 2018, DLMIA/ML-CDS@MICCAI.

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.

Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints

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

Robust Physically-Constrained Modeling of the Mitral Valve and Subvalvular Apparatus

Dorin Comaniciu, Joachim Hornegger, Tommaso Mansi, 2011, MICCAI.

Mean shift analysis and applications

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

Tracking Complex Objects Using Graphical Object Models

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

Marginal Space Learning

Dorin Comaniciu, Yefeng Zheng, 2014 .

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.

Comparing axial CT slices in quantized N-dimensional SURF descriptor space to estimate the visible body region

Dorin Comaniciu, Shaohua Kevin Zhou, Elli Angelopoulou, 2011, Comput. Medical Imaging Graph..

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

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

The Variable Bandwidth Mean Shift and Data-Driven Scale Selection

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

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

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

Part-Based Object Detection and Segmentation

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

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

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

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

Dorin Comaniciu, S. Kevin Zhou, Haibin Ling, 2009, CVPR.

A parameter estimation framework for patient-specific hemodynamic computations

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

Comparative study of dissimilarity measures for histogram-based tracking in echocardiography

Dorin Comaniciu, Xiang Sean Zhou, Etienne Mangonaux, 2004, SPIE 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.

Aortic and Mitral Valve Modeling From Multi-Modal Image Data

Dorin Comaniciu, Tommaso Mansi, Sasa Grbic, 2016 .

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

Gustavo Carneiro, Dorin Comaniciu, Bogdan Georgescu, 2007 .

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.

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition pdf

Jie Yang, Dorin Comaniciu, Eli Gibson, 2018, ArXiv.

Model based non-invasive estimation of PV loop from echocardiography

Dorin Comaniciu, Puneet Sharma, Ali Kamen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robust object tracking using semi-supervised appearance dictionary learning

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

Fractional flow reserve decision support system

Dorin Comaniciu, Puneet Sharma, Tiziano Passerini, 2017 .

Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network

Dorin Comaniciu, Shaohua Kevin Zhou, Leonard McMillan, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

INTERFACE UTILISATEUR POUR UNE ANNOTATION, UNE SEGMENTATION, ET UNE MESURE DE POLYPE EN COLOSCOPIE VIRTUELLE 3D

Dorin Comaniciu, Adrian Barbu, Le Lu, 2009 .

for Interactive Indexing and Retrieval of Pat ology Images

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

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.

Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography

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

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).

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).

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

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

Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes

Dorin Comaniciu, Shaohua Kevin Zhou, Yefeng Zheng, 2011, Medical Imaging.

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

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

Adaptive Resolution System for Distributed Surveillance

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

Coronary Tree Extraction Using Motion Layer Separation

Wei Zhang, Dorin Comaniciu, Shaohua Kevin Zhou, 2009, MICCAI.

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).

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.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014

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

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

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

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).

Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation

Hervé Delingette, Nicholas Ayache, Dorin Comaniciu, 2014, ABDI@MICCAI.

Detection and retrieval of cysts in joint ultrasound B-mode and elasticity breast images

Dorin Comaniciu, Shaohua Kevin Zhou, Jingdan Zhang, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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.

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.

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

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

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

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

Vector quantization clustering using lattice growing search

Cristina Comaniciu, Dorin Comaniciu, 1996, 1996 8th European Signal Processing Conference (EUSIPCO 1996).

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.

Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling

Jan Haas, Hugo A. Katus, Benjamin Meder, 2015, MICCAI.

Complete valvular heart apparatus model from 4D cardiac CT

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

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

Richard McClatchey, Dorin Comaniciu, Xavier Pennec, 2006, HealthGrid.

Example Based Non-rigid Shape Detection

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

Hierarchical guidewire tracking in fluoroscopic sequences

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

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images pdf

Dorin Comaniciu, Weidong Cai, Donghao Zhang, 2020, ArXiv.

A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes pdf

Dorin Comaniciu, Daniel L. Rubin, Yefeng Zheng, 2017, ArXiv.

Computer-assisted discrimination among malignant lymphomas and leukemia using immunophenotyping, intelligent image repositories, and telemicroscopy

Dorin Comaniciu, Peter Meer, David J. Foran, 2000, IEEE Transactions on Information Technology in Biomedicine.

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.

Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion

Dorin Comaniciu, R. Bharat Rao, Xiang Sean Zhou, 2004, MICCAI.

Applications of Marginal Space Learning in Medical Imaging

Dorin Comaniciu, Yefeng Zheng, 2014 .

Cardiac Anchoring in MRI through Context Modeling

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

Ultrasound and Fluoroscopic Images Fusion by Autonomous Ultrasound Probe Detection

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

Statistical methods in video processing : ECCV 2004 Workshop, SMVP 2004, Prague, Czech Republic, May 16, 2004 : revised selected papers

David Suter, Dorin Comaniciu, Rudolf Mester, 2004, eccv 2004.

Statistical Methods in Video Processing

David Suter, Dorin Comaniciu, Kenichi Kanatani, 2004, Lecture Notes in Computer Science.

Discriminative Learning for Deformable Shape Segmentation: A Comparative Study

Dorin Comaniciu, Shaohua Kevin Zhou, Leonard McMillan, 2008, ECCV.

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..

Robust and Fast Contrast Inflow Detection for 2D X-ray Fluoroscopy

Dorin Comaniciu, Terrence Chen, Gareth Funka-Lea, 2011, MICCAI.

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).

An Artificial Agent for Robust Image Registration

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

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).

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

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

Robust guidewire tracking in fluoroscopy

Ying Zhu, Dorin Comaniciu, S. Kevin Zhou, 2009, CVPR.

Method and system for clinical decision support with local and remote analytics

Dorin Comaniciu, Puneet Sharma, Tiziano Passerini, 2018 .

Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2018, Bildverarbeitung für die Medizin.

Automatic Cardiac View Classification of Echocardiogram

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

Hemodynamic Assessment of Pre- and Post-operative Aortic Coarctation from MRI

Nassir Navab, Dorin Comaniciu, Puneet Sharma, 2012, MICCAI.

Challenges to Validate Multi-Physics Model of Liver Tumor Radiofrequency Ablation from Pre-clinical Data

Hervé Delingette, Luc Soler, Nicholas Ayache, 2016 .

Automatic View Planning for Cardiac MRI Acquisition

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

Data-driven computational models of heart anatomy, mechanics and hemodynamics: An integrated framework

Hugo A. Katus, Benjamin Meder, Dorin Comaniciu, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Learning-based 3D myocardial motion flowestimation using high frame rate volumetric ultrasound data

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

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.

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).

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.

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.

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).

Data-Driven Reduction of a Cardiac Myofilament Model

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

Pairwise Active Appearance Model and Its Application to Echocardiography Tracking

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

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..

Three-Dimensional Interactive Vascular Postprocessing Techniques: Industrial Perspective

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

A Robust Algorithm for Characterizing Anisotropic Local Structures

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

Progressive Data Transmission for Hierarchical Detection in a Cloud

Dorin Comaniciu, Jingdan Zhang, Michal Sofka, 2011 .

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

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

Using needle detection and tracking for motion compensation in abdominal interventions

Dorin Comaniciu, Terrence Chen, Peng Wang, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

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

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

Component Fusion for Face Detection in the Presence of Heteroscedastic Noise

Dorin Comaniciu, Visvanathan Ramesh, Terrance E. Boult, 2003, DAGM-Symposium.

Comprehensive Pre-clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation Comprehensive Pre-clinical Evaluation of a Multi-physics Model of Liver Tumor Radiofrequency Ablation

Hervé Delingette, Luc Soler, Nicholas Ayache, 2022 .

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

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

Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors

Hervé Delingette, Nicholas Ayache, Dorin Comaniciu, 2015, IEEE Transactions on Medical Imaging.

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

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

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

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

Model-Based Training Set Synthesis for Vector Quantization

Dorin Comaniciu, 1999, SIP.

Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG

Jan Haas, Hugo A. Katus, Benjamin Meder, 2013, MICCAI.

Reliable Detection of Overtaking Vehicles Using Robust Information Fusion

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

AutoMPR: Automatic detection of standard planes in 3D echocardiography

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

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.

Robust 3D Segmentation of Pulmonary Nodules in Multislice CT Images

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

Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation

Dorin Comaniciu, Yefeng Zheng, Peng Wang, 2012, MICCAI.

Hierarchical parsing and semantic navigation of full body CT data

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

Shape-based image indexing and retrieval for diagnostic pathology

Dorin Comaniciu, Peter Meer, David J. Foran, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Fast and Robust 3-D MRI Brain Structure Segmentation

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

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.

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.

Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences

Ying Zhu, Dorin Comaniciu, Terrence Chen, 2009, 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.

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

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

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.

An Artificial Agent for Anatomical Landmark Detection in Medical Images

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

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).

Comparison of Marginal Space Learning and Full Space Learning in 2D

Dorin Comaniciu, Yefeng Zheng, 2014 .

Systems and methods for integrated medical decision support

Dorin Comaniciu, Daniel Fasulo, Lu Yong Wang, 2007 .

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

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

Meanshift clustering for DNA microarray analysis

Dorin Comaniciu, Danny Barash, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

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.

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.

Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided segmentation

Wei Zhang, Dorin Comaniciu, Shaohua Kevin Zhou, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment pdf

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

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.

Image segmentation using clustering with saddle point detection

Dorin Comaniciu, 2002, Proceedings. International Conference on Image Processing.

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

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

Nonparametric information fusion for motion estimation

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

Marginal Space Learning for Medical Image Analysis: Efficient Detection and Segmentation of Anatomical Structures

Dorin Comaniciu, Yefeng Zheng, 2014 .

Hierarchical, learning-based automatic liver segmentation

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

Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning

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

Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning

Dorin Comaniciu, Joachim Hornegger, Yefeng Zheng, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data

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

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

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

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

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

Cascaded deep decision networks for classification of endoscopic images

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

Real Time Assistance for Stent Positioning and Assessment by Self-initialized Tracking

Dorin Comaniciu, Terrence Chen, Yu Wang, 2012, MICCAI.

Shape Regression Machine

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

Constrained Marginal Space Learning

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

Multimodal Data Representations with Parameterized Local Structures

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

Smart cameras with real-time video object generation

Alessio Del Bue, Dorin Comaniciu, Visvanathan Ramesh, 2002, Proceedings. International Conference on Image Processing.

Morphologica l and Functional Modeling of the Heart Valves and Chambers

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

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.

Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images

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

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

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

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.

Distribution Free Decomposition of Multivariate Data

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

Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning

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

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

Dorin Comaniciu, Eli Gibson, Arnaud Arindra Adiyoso Setio, 2021, IEEE Transactions on Medical Imaging.

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

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

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.

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

Dorin Comaniciu, Arun Krishnan, Kazunori Okada, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

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

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

A boosting regression approach to medical anatomy detection

Dorin Comaniciu, Shaohua Kevin Zhou, Jinghao Zhou, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure

Gustavo Carneiro, Dorin Comaniciu, Shaohua Kevin Zhou, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Coronary DSA: enhancing coronary tree visibility through discriminative learning and robust motion estimation

Ying Zhu, Dorin Comaniciu, Terrence Chen, 2009, Medical Imaging.

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

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

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

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

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

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

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

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

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).

Self-supervised Learning from 100 Million Medical Images pdf

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

Model-based Postoperative Modeling of Stent-Based Devices from CT : Application to TAVI

Dorin Comaniciu, Joachim Hornegger, Ingmar Voigt, 2012 .

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

Dorin Comaniciu, Tommaso Mansi, Ali Kamen, 2013 .

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

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

Early diagnosis of acute coronary syndrome

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

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

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

A unified framework for uncertainty propagation in automatic shape tracking

Dorin Comaniciu, Xiang Sean Zhou, B. Xie, 2004, CVPR 2004.

TCT-40 Image-Based Computation of Instantaneous Wave-free Ratio from Routine Coronary Angiography - Initial Validation by Invasively Measured Coronary Pressures

Dorin Comaniciu, Tiziano Passerini, Rodica Niculescu, 2015 .

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.

Meanshift clustering for DNA microarray analysis

Dorin Comaniciu, Danny Barash, 2004 .

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.