Sasa Grbic
According to our database1,
Sasa Grbic
authored at least 48 papers
between 2010 and 2023.
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Bibliography
2023
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge.
CoRR, 2023
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training.
CoRR, 2023
2022
2021
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks.
IEEE Trans. Medical Imaging, 2021
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment.
Medical Image Anal., 2021
Medical Image Anal., 2021
Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
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
Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images.
CoRR, 2020
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
CoRR, 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Towards intelligent robust detection of anatomical structures in incomplete volumetric data.
Medical Image Anal., 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.
CoRR, 2018
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks.
CoRR, 2018
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography.
Medical Image Anal., 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2015
Advanced Valve Modeling and Multi-Modal Fusion for Minimally Invasive Valve Procedures (Fortgeschrittene Herzklappenmodellierung und multi-modale Fusion für minimal-invasive Herzklappenbehandlungen)
PhD thesis, 2015
IEEE Trans. Medical Imaging, 2015
2014
Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014
Automatic image-to-model framework for patient-specific electromechanical modeling of the heart.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
2013
Multi-modal Pipeline for Comprehensive Validation of Mitral Valve Geometry and Functional Computational Models.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013
Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Medical Image Anal., 2012
Model-based fusion of CT and non-contrasted 3D C-arm CT: Application to transcatheter valve therapies.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
2010
Optical flow based deformable volume registration using a novel second-order regularization prior.
Proceedings of the Medical Imaging 2010: Image Processing, 2010
Proceedings of the Medical Imaging 2010: Visualization, 2010
Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management.
Proceedings of the Statistical Atlases and Computational Models of the Heart, 2010