Sasa Grbic

发表

Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation pdf

Dorin Comaniciu, Sebastian Guendel, Arnaud Arindra Adiyoso Setio, 2020, MLMI@MICCAI.

Complete Valvular Heart Apparatus Model from 4D Cardiac CT

Nassir Navab, Dorin Comaniciu, Yang Wang, 2010, MICCAI.

Learning cardiac anatomy

Dorin Comaniciu, Yue Zhang, Sasa Grbic, 2020 .

Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort pdf

Youngjin Yoo, Sasa Grbic, Bogdan Georgescu, 2020, ArXiv.

Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest

Sasa Grbic, Joshua K. Y. Swee, Sasa Grbic, 2014, MICCAI.

Multi-modal Pipeline for Comprehensive Validation of Mitral Valve Geometry and Functional Computational Models

Andrew W. Siefert, Tommaso Mansi, Ajit P. Yoganathan, 2013, STACOM.

Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management

Nassir Navab, Yang Wang, Joachim Hornegger, 2010, STACOM/CESC.

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Youngjin Yoo, Mannudeep K. Kalra, Eli Gibson, 2020, Medical Image Anal..

ShapeForest: Building Constrained Statistical Shape Models with Decision Trees

Sasa Grbic, Razvan Ioan Ionasec, Joshua K. Y. Swee, 2014, ECCV.

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels pdf

Dorin Comaniciu, Andreas K. Maier, Eli Gibson, 2019, ArXiv.

Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures

Nassir Navab, Dorin Comaniciu, Yang Wang, 2011, MICCAI.

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

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

Dorin Comaniciu, Andreas Maier, Joachim Hornegger, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models

Dorin Comaniciu, Tommaso Mansi, Charles H. Bloodworth, 2014, STACOM.

Class-Aware Adversarial Lung Nodule Synthesis In CT Images

Jie Yang, Dorin Comaniciu, Andrew F. Laine, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Sasa Grbic, Bogdan Georgescu, Thomas Flohr, 2020 .

Towards intelligent robust detection of anatomical structures in incomplete volumetric data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2018, Medical Image Anal..

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes pdf

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2017, MICCAI.

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19 pdf

Youngjin Yoo, Zhoubing Xu, Sasa Grbic, 2020, ArXiv.

Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography

Dorin Comaniciu, Tommaso Mansi, Charles H. Bloodworth, 2017, Medical Image Anal..

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

Ghassan Hamarneh, Anmol Sharma, Dorin Comaniciu, 2018, MLMI@MICCAI.

Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images

Dorin Comaniciu, Bernhard Geiger, Sasa Grbic, 2018, DLMIA/ML-CDS@MICCAI.

Aortic and Mitral Valve Modeling From Multi-Modal Image Data

Dorin Comaniciu, Tommaso Mansi, Sasa Grbic, 2016 .

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images

Shaohua Kevin Zhou, Jin Hyeong Park, Yuankai Huo, 2018, MICCAI.

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition pdf

Jie Yang, Dorin Comaniciu, Eli Gibson, 2018, ArXiv.

Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery

Nassir Navab, Joachim Hornegger, Sasa Grbic, 2013, MICCAI.

Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment

Nassir Navab, Dorin Comaniciu, Tommaso Mansi, 2013, MICCAI.

Optical flow based deformable volume registration using a novel second-order regularization prior

Horst Bischof, Martin Urschler, Thomas Pock, 2010, Medical Imaging.

Complete valvular heart apparatus model from 4D cardiac CT

Nassir Navab, Dorin Comaniciu, Yang Wang, 2012, Medical Image Anal..

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images pdf

Dorin Comaniciu, Weidong Cai, Donghao Zhang, 2020, ArXiv.

Automatic image-to-model framework for patient-specific electromechanical modeling of the heart

Hugo A. Katus, Benjamin Meder, Dorin Comaniciu, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

An Artificial Agent for Robust Image Registration

Dorin Comaniciu, Rui Liao, Pierre de Tournemire, 2016, AAAI.

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

Dorin Comaniciu, Yefeng Zheng, Sasa Grbic, 2010, Medical Imaging.

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

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2018, Bildverarbeitung für die Medizin.

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 pdf

Dorin Comaniciu, Boris Mailhé, Sasa Grbic, 2020, ArXiv.

The method and calculation unit for generating a manufacturing model

Sasa Grbic, Michael Sühling, Razvan Ionasec, 2015 .

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

Nassir Navab, Joachim Hornegger, Sasa Grbic, 2015, IEEE Transactions on Medical Imaging.

Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models

Nassir Navab, Dorin Comaniciu, Tommaso Mansi, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images

Daguang Xu, Dorin Comaniciu, Shaohua Kevin Zhou, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Advanced Valve Modeling and Multi-Modal Fusion for Minimally Invasive Valve Procedures

Sasa Grbic, Sasa Grbic, 2014 .

Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2017, MICCAI.

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment pdf

Dorin Comaniciu, Mannudeep K. Kalra, Eli Gibson, 2019, MICCAI.

Model-based fusion of CT and non-contrasted 3D C-arm CT: Application to transcatheter valve therapies

Nassir Navab, Joachim Hornegger, Sasa Grbic, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks

Dorin Comaniciu, Eli Gibson, Arnaud Arindra Adiyoso Setio, 2021, IEEE Transactions on Medical Imaging.

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

Youngjin Yoo, William Parker, Zhoubing Xu, 2020, ArXiv.

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

Dorin Comaniciu, Shaohua Kevin Zhou, Sasa Grbic, 2018, CIARP.

Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment

Dorin Comaniciu, Sasa Grbic, Bogdan Georgescu, 2021, Medical Image Anal..

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

Dorin Comaniciu, Thomas Flohr, Sasa Grbic, 2020, European Radiology.

Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation

Dorin Comaniciu, Sasa Grbic, Andreas Maier, 2021, Bildverarbeitung für die Medizin.

Self-supervised Learning from 100 Million Medical Images pdf

Dorin Comaniciu, Sasa Grbic, James M. Balter, 2022, ArXiv.

Automated Quantification of CT Patterns Associated with COVID-19 from Chest CT

Dorin Comaniciu, Thomas Flohr, Zhoubing Xu, 2020, Radiology. Artificial intelligence.

Machine Learning/Deep Neuronal Network: Routine Application in Chest Computed Tomography and Workflow Considerations.

Julian L Wichmann, Sasa Grbic, Pooyan Sahbaee, 2020, Journal of thoracic imaging.