B. Georgescu

发表

A versatile method for trifocal tensor estimation

Peter Meer, Bogdan Georgescu, Bogdan Matei, 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.

Edge Detection with Embedded Confidence

Peter Meer, Bogdan Georgescu, P. Meer, 2001, IEEE Trans. Pattern Anal. Mach. Intell..

Multi-model Component-Based Tracking Using Robust Information Fusion

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

Mean shift based clustering in high dimensions: a texture classification example

Ilan Shimshoni, Peter Meer, Bogdan Georgescu, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

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.

Synergism in low level vision

Peter Meer, C. Mario Christoudias, Bogdan Georgescu, 2002, Object recognition supported by user interaction for service robots.

Image mining for investigative pathology using optimized feature extraction and data fusion

Wei He, Peter Meer, David J. Foran, 2005, Comput. Methods Programs Biomed..

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

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

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 .

Automated quantification of mitral inflow and aortic outflow stroke volumes by three-dimensional real-time volume color-flow Doppler transthoracic echocardiography: comparison with pulsed-wave Doppler and cardiac magnetic resonance imaging.

T. Ryan, B. Georgescu, M. Vannan, 2012, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

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

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

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.

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.

Abstract 5793: Novel Semi-Automatic Quantitative Assessment of The Aortic Valve and Aortic Root from Volumetric 3D Echocardiography: Comparison to Volumetric Cardiac Computed Tomography (CT)

B. Georgescu, H. Houle, M. Vannan, 2008 .

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 .

Self-supervised Learning from 100 Million Medical Images pdf

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

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

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

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

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

automated 3-d “voxel” Longitudinal, Circumferential, and Radial Myocardial Mechanics by Real-time Volume Transthoracic Echocardiography: Feasibility and Reproducibility : p1-20

T. Ryan, B. Georgescu, H. Houle, 2011 .

Automated 3-Dimensional Single-Beat Real-Time Volume Colour Flow Doppler Echocardiography in Children: A Validation Study of Right and Left Heart Flows.

B. Georgescu, H. Houle, L. Benson, 2018, The Canadian journal of cardiology.

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 .

Cutaneous Toxicities of Molecular Targeted Therapies.

B. Georgescu, O. Toma, D. Stănculeanu, 2017, Maedica.

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.

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).

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..

Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management

Nassir Navab, Yang Wang, Joachim Hornegger, 2010, STACOM/CESC.

Personalized Computer Simulation of Diastolic Function in Heart Failure

Hugo A. Katus, Benjamin Meder, Tommaso Mansi, 2016, Genom. Proteom. Bioinform..

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..

Inter-vendor variability in strain measurements depends on software rather than image characteristics

B. Georgescu, J. Voigt, P. Lysyansky, 2021, The International Journal of Cardiovascular Imaging.

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.

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..

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.

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..

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

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

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.

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

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

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.

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.

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).

Enhancing Place Recognition Using Joint Intensity - Depth Analysis and Synthetic Data

Kai Ma, Terrence Chen, Vivek K. Singh, 2016, ECCV Workshops.

Point matching under large image deformations and illumination changes

Peter Meer, Bogdan Georgescu, P. Meer, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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.

Model-based flow quantification using conditional random fields with global preferences

Yang Wang, Bogdan Georgescu, Saurabh Datta, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Complete Valvular Heart Apparatus Model from 4D Cardiac CT

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

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.

Complete valvular heart apparatus model from 4D cardiac CT

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

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.

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

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

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.

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.

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.

Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation pdf

Yifan Chen, S.Kevin Zhou, Bogdan Georgescu, 2019, ArXiv.

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).

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

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.

Efficient Medical Image Parsing

Joachim Hornegger, Bogdan Georgescu, Florin C. Ghesu, 2017, Deep Learning for Medical Image Analysis.

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.

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.

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

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

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.

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.

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: Application to Aortic Valve Implantation

Gernot Brockmann, Shaohua Kevin Zhou, Rui Liao, 2010, 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 .

Complete Valvular Heart Apparatus Model from 4D Cardiac CT

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

Co-adaptation of Robot Systems, Processes and In-house Environments for Professional Care Assistance in an Ageing Society

Thomas Bock, Thomas Linner, Christos Georgoulas, 2014 .

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.

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).

Learning cardiac anatomy

Dorin Comaniciu, Yue Zhang, Sasa Grbic, 2020 .

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

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

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.

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

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

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.

One-to-one Mapping for Unpaired Image-to-image Translation

Thomas S. Huang, B. Georgescu, Yifan Chen, 2019, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).