Dorin Comaniciu

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 79

Top Venues

CoRR

Medical Image Anal.

MICCAI (1)

IEEE Trans. Medical Imaging

Publications

Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Badhan Kumar Das, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu
Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers. CoRR (2024)
Riqiang Gao, Florin C. Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. CoRR (2024)
Manuela Daniela Danu, Vasile George Marica, Sanjeev Kumar Karn, Bogdan Georgescu, Awais Mansoor, Florin C. Ghesu, Lucian Mihai Itu, Constantin Suciu, Sasa Grbic, Oladimeji Farri, Dorin Comaniciu
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge. CoRR (2023)
Ali H. Dhanaliwala, Rikhiya Ghosh, Sanjeev Kumar Karn, Poikavila Ullaskrishnan, Oladimeji Farri, Dorin Comaniciu, Charles E. Kahn
General-Purpose vs. Domain-Adapted Large Language Models for Extraction of Data from Thoracic Radiology Reports. CoRR (2023)
Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu
ConTrack: Contextual Transformer for Device Tracking in X-ray. CoRR (2023)
Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu
ConTrack: Contextual Transformer for Device Tracking in X-Ray. MICCAI (9) (2023)
Youngjin Yoo, Gengyan Zhao, Andreea Sandu, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu
The importance of data domain on self-supervised learning for brain metastasis detection and segmentation. Medical Imaging: Computer-Aided Diagnosis (2023)
Riqiang Gao, Bin Lou, Zhoubing Xu, Dorin Comaniciu, Ali Kamen
GAN: Towards Precise 3D Dose Prediction in Radiotherapy. CVPR (2023)
Gengyan Zhao, Youngjin Yoo, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. Medical Imaging: Image Processing (2023)
Anamaria Vizitiu, Antonia T. Mohaiu, Ioan M. Popdan, Abishek Balachandran, Florin C. Ghesu, Dorin Comaniciu
Multi-scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision. MICCAI (1) (2023)
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Dominik Neumann, Pragneshkumar Patel, R. S. Vishwanath, James M. Balter, Yue Cao, Sasa Grbic, Dorin Comaniciu
Self-supervised Learning from 100 Million Medical Images. CoRR (2022)
Jingya Liu, Bin Lou, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Yingli Tian, Dorin Comaniciu, Ali Kamen
Detecting Out-of-Distribution via an Unsupervised Uncertainty Estimation for Prostate Cancer Diagnosis. MIDL (2022)
Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak, Dorin Comaniciu, Eli Gibson
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. ICCVW (2021)
Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. IEEE Trans. Medical Imaging 40 (1) (2021)
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu
Quantifying and leveraging predictive uncertainty for medical image assessment. Medical Image Anal. 68 (2021)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. 72 (2021)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. CoRR (2021)
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. Bildverarbeitung für die Medizin (2021)
Dorin Comaniciu
Artificial Intelligence for Healthcare. KDD (2020)
Siqi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas J. Re, Dorin Comaniciu
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19. CoRR (2020)
Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. CoRR (2020)
Sebastian Gündel, Arnaud Arindra Adiyoso Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. CoRR (2020)
Xin Yu, Bin Lou, Bibo Shi, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen, Henkjan J. Huisman, Andrew Rosenkrantz, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar
False Positive Reduction Using Multiscale Contextual Features for Prostate Cancer Detection in Multi-Parametric MRI Scans. ISBI (2020)
Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu
Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. CoRR (2020)
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas K. Maier, Dorin Comaniciu
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. MLMI@MICCAI (2020)
Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks. CoRR (2020)
Bogdan Georgescu, Shikha Chaganti, Gorka Bastarrika Aleman, Eduardo Jose Mortani Barbosa Jr., Jordi Broncano Cabrero, Guillaume Chabin, Thomas Flohr, Philippe Grenier, Sasa Grbic, Nakul Gupta, François Mellot, Savvas Nicolaou, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu
Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort. CoRR (2020)
Eduardo Jose Mortani Barbosa Jr., Warren B. Gefter, Rochelle Yang, Florin C. Ghesu, Siqi Liu, Boris Mailhé, Awais Mansoor, Sasa Grbic, Sebastian Piat, Guillaume Chabin, R. S. Vishwanath, Abishek Balachandran, Sebastian Vogt, Valentin Ziebandt, Steffen Kappler, Dorin Comaniciu
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. CoRR (2020)
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. CoRR (2020)
Xin Yu, Bin Lou, Donghao Zhang, David J. Winkel, Nacim Arrahmane, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Robert Grimm, Berthold Kiefer, Dorin Comaniciu, Ali Kamen
Deep Attentive Panoptic Model for Prostate Cancer Detection Using Biparametric MRI Scans. MICCAI (4) (2020)
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) (2019)
Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
Combo loss: Handling input and output imbalance in multi-organ segmentation. Comput. Medical Imaging Graph. 75 (2019)
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI (2019)
Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu
Class-Aware Adversarial Lung Nodule Synthesis In CT Images. ISBI (2019)
Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. IEEE Trans. Pattern Anal. Mach. Intell. 41 (1) (2019)
Sebastian Gündel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. CoRR (2019)
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. CoRR (2019)
Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Towards intelligent robust detection of anatomical structures in incomplete volumetric data. Medical Image Anal. 48 (2018)
Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh
Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR (2018)
Mayalen Etcheverry, Bogdan Georgescu, Benjamin Odry, Thomas J. Re, Shivam Kaushik, Bernhard Geiger, Mariappan S. Nadar, Sasa Grbic, Dorin Comaniciu
Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images. DLMIA/ML-CDS@MICCAI (2018)
Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. MICCAI (2) (2018)
Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. CoRR (2018)
Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Siqi Liu, Andreas Maier, Dorin Comaniciu
Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. CIARP (2018)
Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data. Bildverarbeitung für die Medizin (2018)
Brian Teixeira, Vivek Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu
Generating Synthetic X-ray Images of a Person from the Surface Geometry. CoRR (2018)
Brian Teixeira, Vivek Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu
Generating Synthetic X-Ray Images of a Person From the Surface Geometry. CVPR (2018)
Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. CoRR (2018)
Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu
Class-Aware Adversarial Lung Nodule Synthesis in CT Images. CoRR (2018)
Sebastian Gündel, Sasa Grbic, Bogdan Georgescu, Shaohua Kevin Zhou, Ludwig Ritschl, Andreas Meier, Dorin Comaniciu
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. CoRR (2018)
Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Sasa Grbic, Olivier Pauly, Weidong Cai, Dorin Comaniciu
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. CoRR (2017)
Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. CoRR (2017)
Dong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Zhoubing Xu, Mingqing Chen, Jin Hyeong Park, Sasa Grbic, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. MICCAI (3) (2017)
Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data. MICCAI (1) (2017)
Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. CoRR (2017)
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu
An Artificial Agent for Robust Image Registration. AAAI (2017)
Fan Zhang, Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Lakshman Subrahmanyan, Ben A. Lin, Lissa Sugeng, David D. Yuh, Dorin Comaniciu, James S. Duncan
Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation. Medical Image Anal. 35 (2017)
Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes. CoRR (2017)
Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. MICCAI (3) (2017)
Venkatesh N. Murthy, Vivek Singh, Shanhui Sun, Subhabrata Bhattacharya, Terrence Chen, Dorin Comaniciu
Cascaded deep decision networks for classification of endoscopic images. Medical Imaging: Image Processing (2017)
Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu
Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. IPMI (2017)
Sasa Grbic, Thomas F. Easley, Tommaso Mansi, Charles H. Bloodworth, Eric L. Pierce, Ingmar Voigt, Dominik Neumann, Julian Krebs, David D. Yuh, Morten O. Jensen, Dorin Comaniciu, Ajit P. Yoganathan
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography. Medical Image Anal. 35 (2017)
Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Tiziano Passerini, Viorel Mihalef, Marie-Pierre Jolly, Raoul Pop, Michele Diana, Luc Soler, Ali Kamen, Dorin Comaniciu, Nicholas Ayache
Comprehensive preclinical evaluation of a multi-physics model of liver tumor radiofrequency ablation. Int. J. Comput. Assist. Radiol. Surg. 12 (9) (2017)
Dorin Comaniciu, Klaus Engel, Bogdan Georgescu, Tommaso Mansi
Shaping the Future through Innovations: From Medical Imaging to Precision Medicine. CoRR (2016)
Dominik Neumann, Tommaso Mansi, Lucian Mihai Itu, Bogdan Georgescu, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Ali Amr, Jan Haas, Hugo A. Katus, Benjamin Meder, Stefan Steidl, Joachim Hornegger, Dorin Comaniciu
A self-taught artificial agent for multi-physics computational model personalization. Medical Image Anal. 34 (2016)
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu
An Artificial Agent for Robust Image Registration. CoRR (2016)
Florin C. Ghesu, Edward Krubasik, Bogdan Georgescu, Vivek Singh, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. IEEE Trans. Medical Imaging 35 (5) (2016)
Dorin Comaniciu, Klaus Engel, Bogdan Georgescu, Tommaso Mansi
Shaping the future through innovations: From medical imaging to precision medicine. Medical Image Anal. 33 (2016)
Florin C. Ghesu, Bogdan Georgescu, Tommaso Mansi, Dominik Neumann, Joachim Hornegger, Dorin Comaniciu
An Artificial Agent for Anatomical Landmark Detection in Medical Images. MICCAI (3) (2016)
Venkatesh N. Murthy, Vivek Singh, Terrence Chen, R. Manmatha, Dorin Comaniciu
Deep Decision Network for Multi-class Image Classification. CVPR (2016)
Dominik Neumann, Tommaso Mansi, Lucian Mihai Itu, Bogdan Georgescu, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Ali Amr, Jan Haas, Hugo A. Katus, Benjamin Meder, Stefan Steidl, Joachim Hornegger, Dorin Comaniciu
A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization. CoRR (2016)
Roch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Hervé Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, Tommaso Mansi
Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study. FIMH (2015)
Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. MICCAI (1) (2015)
Chloé Audigier, Tommaso Mansi, Herve Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael A. Choti, Ali Kamen, Nicholas Ayache, Dorin Comaniciu
Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors. IEEE Trans. Medical Imaging 34 (7) (2015)
Lei Zhang, Wen Wu, Terrence Chen, Norbert Strobel, Dorin Comaniciu
Robust object tracking using semi-supervised appearance dictionary learning. Pattern Recognit. Lett. 62 (2015)
Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu
3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data. MICCAI (1) (2015)
Huanhuan Yang, Tiziano Passerini, Tommaso Mansi, Dorin Comaniciu
Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations. FIMH (2015)
Dominik Neumann, Tommaso Mansi, Lucian Mihai Itu, Bogdan Georgescu, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Jan Haas, Hugo A. Katus, Benjamin Meder, Stefan Steidl, Joachim Hornegger, Dorin Comaniciu
Vito - A Generic Agent for Multi-physics Model Personalization: Application to Heart Modeling. MICCAI (2) (2015)
Ingmar Voigt, Mihai Scutaru, Tommaso Mansi, Bogdan Georgescu, Noha El-Zehiry, Helene Houle, Dorin Comaniciu
Robust Live Tracking of Mitral Valve Annulus for Minimally-Invasive Intervention Guidance. MICCAI (1) (2015)
Lucian Mihai Itu, Puneet Sharma, Tiziano Passerini, Ali Kamen, Constantin Suciu, Dorin Comaniciu
A parameter estimation framework for patient-specific hemodynamic computations. J. Comput. Phys. 281 (2015)
Oliver Zettinig, Tommaso Mansi, Dominik Neumann, Bogdan Georgescu, Saikiran Rapaka, Philipp Seegerer, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Ali Amr, Jan Haas, Henning Steen, Hugo A. Katus, Benjamin Meder, Nassir Navab, Ali Kamen, Dorin Comaniciu
Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals. Medical Image Anal. 18 (8) (2014)
Chloé Audigier, Tommaso Mansi, Hervé Delingette, Saikiran Rapaka, Viorel Mihalef, Daniel Carnegie, Emad Boctor, Michael A. Choti, Ali Kamen, Dorin Comaniciu, Nicholas Ayache
Parameter Estimation for Personalization of Liver Tumor Radiofrequency Ablation. ABDI@MICCAI (2014)
Neil Birkbeck, Timo Kohlberger, Jingdan Zhang, Michal Sofka, Jens N. Kaftan, Dorin Comaniciu, Shaohua Kevin Zhou
Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints. MICCAI (1) (2014)
Lucian Mihai Itu, Puneet Sharma, Bogdan Georgescu, Ali Kamen, Constantin Suciu, Dorin Comaniciu
Model based non-invasive estimation of PV loop from echocardiography. EMBC (2014)
Michal Sofka, Jingdan Zhang, Sara Good, Shaohua Kevin Zhou, Dorin Comaniciu
Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN). IEEE Trans. Medical Imaging 33 (5) (2014)
Dominik Neumann, Tommaso Mansi, Sasa Grbic, Ingmar Voigt, Bogdan Georgescu, Elham Kayvanpour, Ali Amr, Farbod Sedaghat-Hamedani, Jan Haas, Hugo A. Katus, Benjamin Meder, Joachim Hornegger, Ali Kamen, Dorin Comaniciu
Automatic image-to-model framework for patient-specific electromechanical modeling of the heart. ISBI (2014)
Yefeng Zheng, Dong Yang, Matthias John, Dorin Comaniciu
Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation. IEEE Trans. Medical Imaging 33 (2) (2014)
Philipp Seegerer, Tommaso Mansi, Marie-Pierre Jolly, Dominik Neumann, Bogdan Georgescu, Ali Kamen, Elham Kayvanpour, Ali Amr, Farbod Sedaghat-Hamedani, Jan Haas, Hugo A. Katus, Benjamin Meder, Dorin Comaniciu
Estimation of Regional Electrical Properties of the Heart from 12-Lead ECG and Images. STACOM (2014)
Dominik Neumann, Tommaso Mansi, Bogdan Georgescu, Ali Kamen, Elham Kayvanpour, Ali Amr, Farbod Sedaghat-Hamedani, Jan Haas, Hugo A. Katus, Benjamin Meder, Joachim Hornegger, Dorin Comaniciu
Robust Image-Based Estimation of Cardiac Tissue Parameters and Their Uncertainty from Noisy Data. MICCAI (2) (2014)
Sasa Grbic, Thomas F. Easley, Tommaso Mansi, Charles H. Bloodworth, Eric L. Pierce, Ingmar Voigt, Dominik Neumann, Julian Krebs, David D. Yuh, Morten O. Jensen, Dorin Comaniciu, Ajit P. Yoganathan
Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models. STACOM (2014)
Mihai Scutaru, Ingmar Voigt, Tommaso Mansi, Anand Tatpati, Razvan Ioan Ionasec, Helene Houle, Dorin Comaniciu
Robust Detection of Mitral Papillary Muscle from 4D Transesophageal Echocardiography. STACOM (2014)
Peng Wang, Olivier Ecabert, Terrence Chen, Michael Wels, Johannes Rieber, Martin Ostermeier, Dorin Comaniciu
Image-based Co-Registration of Angiography and Intravascular Ultrasound Images. IEEE Trans. Medical Imaging 32 (12) (2013)
Lucian Mihai Itu, Puneet Sharma, Ali Kamen, Constantin Suciu, Dorin Comaniciu
A novel coupling algorithm for computing blood flow in viscoelastic arterial models. EMBC (2013)
Tommaso Mansi, Roy Beinart, Oliver Zettinig, Saikiran Rapaka, Bogdan Georgescu, Ali Kamen, Yoav Dori, M. Muz Zviman, Daniel A. Herzka, Henry R. Halperin, Dorin Comaniciu
A Framework for the Pre-clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation. STACOM (2013)
B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng, Dorin Comaniciu
Spine detection in CT and MR using iterated marginal space learning. Medical Image Anal. 17 (8) (2013)
Oliver Zettinig, Tommaso Mansi, Bogdan Georgescu, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Ali Amr, Jan Haas, Henning Steen, Benjamin Meder, Hugo A. Katus, Nassir Navab, Ali Kamen, Dorin Comaniciu
Fast Data-Driven Calibration of a Cardiac Electrophysiology Model from Images and ECG. MICCAI (1) (2013)
Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Dorin Comaniciu, James S. Duncan
Automatic Personalization of the Mitral Valve Biomechanical Model Based on 4D Transesophageal Echocardiography. STACOM (2013)
Johannes Feulner, Shaohua Kevin Zhou, Matthias Hammon, Joachim Hornegger, Dorin Comaniciu
Lymph node detection and segmentation in chest CT data using discriminative learning and a spatial prior. Medical Image Anal. 17 (2) (2013)
Sasa Grbic, Tommaso Mansi, Razvan Ioan Ionasec, Ingmar Voigt, Helene Houle, Matthias John, Max Schoebinger, Nassir Navab, Dorin Comaniciu
Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment. MICCAI (2) (2013)
Sasa Grbic, Razvan Ioan Ionasec, Tommaso Mansi, Bogdan Georgescu, Fernando Vega Higuera, Nassir Navab, Dorin Comaniciu
Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models. ISBI (2013)
Tommaso Mansi, Bogdan Georgescu, Jagir Hussan, Peter J. Hunter, Ali Kamen, Dorin Comaniciu
Data-Driven Reduction of a Cardiac Myofilament Model. FIMH (2013)

Dorin Comaniciu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dorin Comaniciu