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Dorin Comaniciu
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- affiliation: Siemens Healthineers, Medical Imaging Technologies, Princeton, NJ, USA
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2020 – today
- 2024
- [c219]Riqiang Gao, Florin-Cristian Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen:
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. ICML 2024 - [c218]Saahil Islam
, Venkatesh N. Murthy, Dominik Neumann, Serkan Çimen, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu:
A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-supervised Features. MICCAI (6) 2024: 25-34 - [i34]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 abs/2405.01156 (2024) - [i33]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 abs/2406.01853 (2024) - [i32]Hao Li, Han Liu, Heinrich von Busch, Robert Grimm, Henkjan Huisman, Angela Tong, David J. Winkel, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar, Steven Shea, Fergus Coakley, Mukesh Harisinghani, Ipek Oguz, Dorin Comaniciu, Ali Kamen, Bin Lou:
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets. CoRR abs/2408.04777 (2024) - [i31]Athira J. Jacob, Indraneel Borgohain, Teodora Chitiboi, Puneet Sharma, Dorin Comaniciu, Daniel Rueckert:
Towards a vision foundation model for comprehensive assessment of Cardiac MRI. CoRR abs/2410.01665 (2024) - [i30]Vivek Singh, Shikha Chaganti, Matthias Siebert, Soumya Rajesh, Andrei Puiu, Raj Gopalan, Jamie Gramz, Dorin Comaniciu, Ali Kamen:
Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers. CoRR abs/2410.19646 (2024) - 2023
- [c217]Riqiang Gao, Bin Lou
, Zhoubing Xu, Dorin Comaniciu, Ali Kamen:
Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy. CVPR 2023: 715-725 - [c216]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. Computer-Aided Diagnosis 2023 - [c215]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: 573-582 - [c214]Marc Demoustier
, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu:
ConTrack: Contextual Transformer for Device Tracking in X-Ray. MICCAI (9) 2023: 679-688 - [c213]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. Image Processing 2023 - [i29]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 abs/2306.10448 (2023) - [i28]Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu:
ConTrack: Contextual Transformer for Device Tracking in X-ray. CoRR abs/2307.07541 (2023) - [i27]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 abs/2311.17213 (2023) - 2022
- [c212]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: 796-807 - [i26]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 abs/2201.01283 (2022) - 2021
- [j51]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: 101855 (2021) - [j50]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: 102087 (2021) - [j49]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): 335-345 (2021) - [c211]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: 288 - [c210]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: 487-495 - [i25]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 abs/2104.05261 (2021) - 2020
- [c209]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: 1355-1359 - [c208]Dorin Comaniciu:
Artificial Intelligence for Healthcare. KDD 2020: 3603 - [c207]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: 504-512 - [c206]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: 594-604 - [i24]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 abs/2003.03824 (2020) - [i23]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 abs/2003.07999 (2020) - [i22]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 abs/2004.01279 (2020) - [i21]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 abs/2005.01903 (2020) - [i20]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 abs/2006.04998 (2020) - [i19]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 abs/2007.04258 (2020) - [i18]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 abs/2008.02030 (2020) - [i17]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 abs/2008.06330 (2020)
2010 – 2019
- 2019
- [j48]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: 24-33 (2019) - [j47]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): 176-189 (2019) - [c205]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: 1348-1352 - [c204]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: 417-425 - [c203]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: 676-684 - [p4]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Sasa Grbic, Weidong Cai
, Dorin Comaniciu:
Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 199-216 - [i16]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 abs/1905.06362 (2019) - [i15]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 abs/1906.07775 (2019) - 2018
- [j46]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: 203-213 (2018) - [c202]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: 39 - [c201]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: 757-765 - [c200]Brian Teixeira, Vivek K. 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: 9059-9067 - [c199]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: 254-262 - [c198]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: 851-858 - [i14]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 abs/1803.04565 (2018) - [i13]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 abs/1804.05181 (2018) - [i12]Brian Teixeira, Vivek K. 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 abs/1805.00553 (2018) - [i11]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 abs/1805.02798 (2018) - [i10]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 abs/1812.01737 (2018) - [i9]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 abs/1812.11204 (2018) - 2017
- [j45]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): 1543-1559 (2017) - [j44]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: 238-249 (2017) - [j43]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: 599-609 (2017) - [c197]Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu:
An Artificial Agent for Robust Image Registration. AAAI 2017: 4168-4175 - [c196]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: 633-644 - [c195]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: 194-202 - [c194]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: 498-506 - [c193]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: 507-515 - [c192]Venkatesh N. Murthy, Vivek K. Singh, Shanhui Sun, Subhabrata Bhattacharya, Terrence Chen, Dorin Comaniciu
:
Cascaded deep decision networks for classification of endoscopic images. Image Processing 2017: 101332B - [p3]Yefeng Zheng
, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu
:
Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 49-61 - [p2]Yefeng Zheng
, David Liu, Bogdan Georgescu, Daguang Xu, Dorin Comaniciu
:
Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 241-255 - [i8]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 abs/1703.06418 (2017) - [i7]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 abs/1705.05998 (2017) - [i6]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 abs/1707.08037 (2017) - [i5]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 abs/1711.08580 (2017) - 2016
- [j42]Dorin Comaniciu
, Klaus Engel, Bogdan Georgescu, Tommaso Mansi:
Shaping the future through innovations: From medical imaging to precision medicine. Medical Image Anal. 33: 19-26 (2016) - [j41]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: 52-64 (2016) - [j40]Florin C. Ghesu
, Edward Krubasik, Bogdan Georgescu, Vivek K. Singh, Yefeng Zheng
, Joachim Hornegger, Dorin Comaniciu
:
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. IEEE Trans. Medical Imaging 35(5): 1217-1228 (2016) - [c191]Venkatesh N. Murthy, Vivek K. Singh, Terrence Chen, R. Manmatha, Dorin Comaniciu:
Deep Decision Network for Multi-class Image Classification. CVPR 2016: 2240-2248 - [c190]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: 229-237 - [i4]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 abs/1605.00303 (2016) - [i3]Dorin Comaniciu, Klaus Engel, Bogdan Georgescu, Tommaso Mansi:
Shaping the Future through Innovations: From Medical Imaging to Precision Medicine. CoRR abs/1605.02029 (2016) - [i2]Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu:
An Artificial Agent for Robust Image Registration. CoRR abs/1611.10336 (2016) - 2015
- [j39]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: 316-333 (2015) - [j38]Lei Zhang
, Wen Wu, Terrence Chen, Norbert Strobel, Dorin Comaniciu
:
Robust object tracking using semi-supervised appearance dictionary learning. Pattern Recognit. Lett. 62: 17-23 (2015) - [j37]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): 1576-1589 (2015) - [c189]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: 448-456 - [c188]Huanhuan Yang, Tiziano Passerini, Tommaso Mansi, Dorin Comaniciu
:
Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations. FIMH 2015: 466-474 - [c187]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: 439-446 - [c186]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: 442-449 - [c185]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: 565-572 - [c184]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: 710-718 - 2014
- [b1]Yefeng Zheng
, Dorin Comaniciu
:
Marginal Space Learning for Medical Image Analysis - Efficient Detection and Segmentation of Anatomical Structures. Springer 2014, ISBN 978-1-4939-0599-7, pp. 1-261 - [j36]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): 1361-1376 (2014) - [j35]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): 318-331 (2014) - [j34]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): 1054-1070 (2014) - [c183]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: 6774-6777 - [c182]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: 935-938 - [c181]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: 3-12 - [c180]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: 9-16 - [c179]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: 204-212 - [c178]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: 239-248 - [c177]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: 249-256 - [c176]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: 804-811 - 2013
- [j33]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): 254-270 (2013) - [j32]