Sasa Grbic

According to our database1, Sasa Grbic authored at least 48 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training.
IEEE Trans. Medical Imaging, May, 2024

2023
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge.
CoRR, 2023

2022
Self-supervised Learning from 100 Million Medical Images.
CoRR, 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

Quantifying and leveraging predictive uncertainty for medical image assessment.
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

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19.
CoRR, 2020

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT.
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

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels.
CoRR, 2019

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Class-Aware Adversarial Lung Nodule Synthesis In CT Images.
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

Select, Attend, and Transfer: Light, Learnable Skip Connections.
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

Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data.
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

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network.
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

Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

An Artificial Agent for Robust Image Registration.
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

Probabilistic Sparse Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery.
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

ShapeForest: Building Constrained Statistical Shape Models with Decision Trees.
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
Complete valvular heart apparatus model from 4D cardiac CT.
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

Aortic valve and ascending aortic root modeling from 3D and 3D+t CT.
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


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