Sasa Grbic

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 43

Top Topics

Landmark Detection

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

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. IEEE Trans. Medical Imaging 43 (5) (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)
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 (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)
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)
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)
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)
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)
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)
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)
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 (2018)
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)
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)
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu
An Artificial Agent for Robust Image Registration. AAAI (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)
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)
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu
An Artificial Agent for Robust Image Registration. CoRR (2016)
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) (2015)
Sasa Grbic, Joshua K. Y. Swee, Razvan Ioan Ionasec
ShapeForest: Building Constrained Statistical Shape Models with Decision Trees. ECCV (3) (2014)
Joshua K. Y. Swee, Sasa Grbic
Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest. MICCAI (2) (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)
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)
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)
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)
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)
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) (2012)
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)
Sasa Grbic, Razvan Ioan Ionasec, Yang Wang, Tommaso Mansi, Bogdan Georgescu, Matthias John, Jan M. Boese, Yefeng Zheng, Nassir Navab, Dorin Comaniciu
Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures. MICCAI (1) (2011)
Sasa Grbic, Martin Urschler, Thomas Pock, Horst Bischof
Optical flow based deformable volume registration using a novel second-order regularization prior. Medical Imaging: Image Processing (2010)
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)
Sasa Grbic, Razvan Ioan Ionasec, Dominik Zäuner, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
Aortic valve and ascending aortic root modeling from 3D and 3D+t CT. Medical Imaging: Image-Guided Procedures (2010)
Razvan Ioan Ionasec, Ingmar Voigt, Viorel Mihalef, Sasa Grbic, Dime Vitanovski, Yang Wang, Yefeng Zheng, Joachim Hornegger, Nassir Navab, Bogdan Georgescu
Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management. STACOM/CESC (2010)