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2020 – today
- 2024
- [j9]Han Liu
, Zhoubing Xu, Riqiang Gao
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. IEEE Trans. Medical Imaging 43(5): 1995-2009 (2024) - 2023
- [i22]Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic:
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training. CoRR abs/2304.14030 (2023) - [i21]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) - 2022
- [i20]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
- [j8]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath
Quantifying and leveraging predictive uncertainty for medical image assessment. Medical Image Anal. 68: 101855 (2021) - [j7]Sebastian Gündel
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. 72: 102087 (2021) - [j6]Siqi Liu
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) - [c27]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 - [i19]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
- [c26]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 - [i18]Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks. CoRR abs/2003.03824 (2020) - [i17]Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. CoRR abs/2003.07999 (2020) - [i16]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) - [i15]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) - [i14]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) - [i13]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. CoRR abs/2007.04258 (2020) - [i12]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) - [i11]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
- [j5]Florin C. Ghesu
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) - [c25]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson
Class-Aware Adversarial Lung Nodule Synthesis In CT Images. ISBI 2019: 1348-1352 - [c24]Florin C. Ghesu, Bogdan Georgescu, Eli Gibson
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) 2019: 676-684 - [p1]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Sasa Grbic, Weidong Cai
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 - [i10]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) - [i9]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
- [j4]Florin C. Ghesu
Towards intelligent robust detection of anatomical structures in incomplete volumetric data. Medical Image Anal. 48: 203-213 (2018) - [c23]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 - [c22]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 - [c21]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 - [c20]Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. MICCAI (2) 2018: 711-719 - [c19]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 - [i8]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) - [i7]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) - [i6]Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. CoRR abs/1805.10376 (2018) - [i5]Siqi Liu, Eli Gibson
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. CoRR abs/1812.01737 (2018) - [i4]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
- [j3]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
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography. Medical Image Anal. 35: 238-249 (2017) - [c18]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 - [c17]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 - [c16]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 - [c15]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 - [i3]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) - [i2]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
- [i1]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
- [b1]Sasa Grbic:
Advanced Valve Modeling and Multi-Modal Fusion for Minimally Invasive Valve Procedures (Fortgeschrittene Herzklappenmodellierung und multi-modale Fusion für minimal-invasive Herzklappenbehandlungen). Technical University of Munich, Germany, 2015 - [j2]Dominik Neumann, Sasa Grbic, Matthias John, Nassir Navab, Joachim Hornegger, Razvan Ioan Ionasec:
Probabilistic Sparse Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery. IEEE Trans. Medical Imaging 34(1): 49-60 (2015) - 2014
- [c14]Sasa Grbic, Joshua K. Y. Swee, Razvan Ioan Ionasec:
ShapeForest: Building Constrained Statistical Shape Models with Decision Trees. ECCV (3) 2014: 597-612 - [c13]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 - [c12]Joshua K. Y. Swee, Sasa Grbic:
Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest. MICCAI (2) 2014: 17-24 - [c11]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
Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models. STACOM 2014: 239-248 - 2013
- [c10]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: 1424-1427 - [c9]Dominik Neumann, Sasa Grbic, Matthias John, Nassir Navab, Joachim Hornegger, Razvan Ioan Ionasec:
Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery. MICCAI (1) 2013: 171-178 - [c8]Dominik Neumann, Sasa Grbic, Tommaso Mansi, Ingmar Voigt, Jean Pierre Rabbah, Andrew W. Siefert, Neelakantan Saikrishnan, Ajit P. Yoganathan, David D. Yuh, Razvan Ioan Ionasec:
Multi-modal Pipeline for Comprehensive Validation of Mitral Valve Geometry and Functional Computational Models. STACOM 2013: 188-195 - [c7]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: 395-402 - 2012
- [j1]Sasa Grbic, Razvan Ioan Ionasec, Dime Vitanovski, Ingmar Voigt, Yang Wang, Bogdan Georgescu, Nassir Navab, Dorin Comaniciu
Complete valvular heart apparatus model from 4D cardiac CT. Medical Image Anal. 16(5): 1003-1014 (2012) - [c6]Sasa Grbic, Christian Gesell, Razvan Ioan Ionasec, Matthias John, Jan M. Boese, Joachim Hornegger, Nassir Navab, Dorin Cotnaniciu:
Model-based fusion of CT and non-contrasted 3D C-arm CT: Application to transcatheter valve therapies. ISBI 2012: 1192-1195 - 2011
- [c5]Sasa Grbic, Razvan Ioan Ionasec, Yang Wang, Tommaso Mansi, Bogdan Georgescu, Matthias John, Jan M. Boese, Yefeng Zheng
Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures. MICCAI (1) 2011: 219-226 - 2010
- [c4]Razvan Ioan Ionasec, Ingmar Voigt, Viorel Mihalef, Sasa Grbic, Dime Vitanovski, Yang Wang, Yefeng Zheng
Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management. STACOM/CESC 2010: 14-24 - [c3]Sasa Grbic, Razvan Ioan Ionasec, Dime Vitanovski, Ingmar Voigt, Yang Wang, Bogdan Georgescu, Nassir Navab, Dorin Comaniciu
Complete Valvular Heart Apparatus Model from 4D Cardiac CT. MICCAI (1) 2010: 218-226 - [c2]Sasa Grbic, Razvan Ioan Ionasec, Dominik Zäuner, Yefeng Zheng
Aortic valve and ascending aortic root modeling from 3D and 3D+t CT. Image-Guided Procedures 2010: 76250H - [c1]Sasa Grbic, Martin Urschler
Optical flow based deformable volume registration using a novel second-order regularization prior. Image Processing 2010: 76232R
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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