Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management. - Razvan Ioan Ionasec; Ingmar Voigt; Viorel Mihalef; Sasa Grbic; Dime Vitanovski; Yang Wang 001; Yefeng Zheng 001; Joachim Hornegger; Nassir Navab; Bogdan Georgescu (STACOM/CESC, 2010)

Aortic valve and ascending aortic root modeling from 3D and 3D+t CT. - Sasa Grbic; Razvan Ioan Ionasec; Dominik Zäuner; Yefeng Zheng 001; Bogdan Georgescu; Dorin Comaniciu (Image-Guided Procedures, 2010)

Optical flow based deformable volume registration using a novel second-order regularization prior. - Sasa Grbic; Martin Urschler; Thomas Pock; Horst Bischof (Image Processing, 2010)

Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures. - Sasa Grbic; Razvan Ioan Ionasec; Yang Wang 001; Tommaso Mansi; Bogdan Georgescu; Matthias John 001; Jan M. Boese; Yefeng Zheng 001; Nassir Navab; Dorin Comaniciu (MICCAI (1), 2011)

Model-based fusion of CT and non-contrasted 3D C-arm CT: Application to transcatheter valve therapies. - Sasa Grbic; Christian Gesell; Razvan Ioan Ionasec; Matthias John 001; Jan M. Boese; Joachim Hornegger; Nassir Navab; Dorin Cotnaniciu (ISBI, 2012)

Complete valvular heart apparatus model from 4D cardiac CT. - Sasa Grbic; Razvan Ioan Ionasec; Dime Vitanovski; Ingmar Voigt; Yang Wang 001; Bogdan Georgescu; Nassir Navab; Dorin Comaniciu (Medical Image Anal., 2012)

Advanced intervention planning for Transcatheter Aortic Valve Implantations (TAVI) from CT using volumetric models. - Sasa Grbic; Razvan Ioan Ionasec; Tommaso Mansi; Bogdan Georgescu; Fernando Vega Higuera; Nassir Navab; Dorin Comaniciu (ISBI, 2013)

Image-Based Computational Models for TAVI Planning: From CT Images to Implant Deployment. - Sasa Grbic; Tommaso Mansi; Razvan Ioan Ionasec; Ingmar Voigt; Helene Houle; Matthias John 001; Max Schoebinger; Nassir Navab; Dorin Comaniciu (MICCAI (2), 2013)

Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery. - Dominik Neumann; Sasa Grbic; Matthias John 001; Nassir Navab; Joachim Hornegger; Razvan Ioan Ionasec (MICCAI (1), 2013)

Multi-modal Pipeline for Comprehensive Validation of Mitral Valve Geometry and Functional Computational Models. - 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 (STACOM, 2013)

ShapeForest: Building Constrained Statistical Shape Models with Decision Trees. - Sasa Grbic; Joshua K. Y. Swee; Razvan Ioan Ionasec (ECCV (3), 2014)

Automatic image-to-model framework for patient-specific electromechanical modeling of the heart. - 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; et al. (ISBI, 2014)

Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models. - 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 (STACOM, 2014)

Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest. - Joshua K. Y. Swee; Sasa Grbic (MICCAI (2), 2014)

Probabilistic Sparse Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery. - Dominik Neumann; Sasa Grbic; Matthias John 001; Nassir Navab; Joachim Hornegger; Razvan Ioan Ionasec (IEEE Trans. Medical Imaging, 2015)

Advanced Valve Modeling and Multi-Modal Fusion for Minimally Invasive Valve Procedures (Fortgeschrittene Herzklappenmodellierung und multi-modale Fusion für minimal-invasive Herzklappenbehandlungen) - Sasa Grbic (2015)

An Artificial Agent for Robust Image Registration. - Rui Liao; Shun Miao; Pierre de Tournemire; Sasa Grbic; Ali Kamen; Tommaso Mansi; Dorin Comaniciu (AAAI, 2017)

Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data. - Florin C. Ghesu; Bogdan Georgescu; Sasa Grbic; Andreas K. Maier; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2017)

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. - Dong Yang 005; 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 (MICCAI (3), 2017)

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network. - Dong Yang 005; Daguang Xu; Shaohua Kevin Zhou; Bogdan Georgescu; Mingqing Chen; Sasa Grbic; Dimitris N. Metaxas; Dorin Comaniciu (MICCAI (3), 2017)

Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography. - 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 (Medical Image Anal., 2017)

Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data. - Florin C. Ghesu; Bogdan Georgescu; Sasa Grbic; Andreas K. Maier; Joachim Hornegger; Dorin Comaniciu (Bildverarbeitung für die Medizin, 2018)

Learning to Recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. - Sebastian Gündel; Sasa Grbic; Bogdan Georgescu; Siqi Liu 001; Andreas Maier 001; Dorin Comaniciu (CIARP, 2018)

Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical Images. - Mayalen Etcheverry; Bogdan Georgescu; Benjamin Odry; Thomas J. Re; Shivam Kaushik; Bernhard Geiger; Mariappan S. Nadar; Sasa Grbic; Dorin Comaniciu (DLMIA/ML-CDS@MICCAI, 2018)

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. - Siqi Liu 001; Daguang Xu; Shaohua Kevin Zhou; Olivier Pauly; Sasa Grbic; Thomas Mertelmeier; Julia Wicklein; Anna K. Jerebko; Weidong Cai 001; Dorin Comaniciu (MICCAI (2), 2018)

Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. - Zhoubing Xu; Yuankai Huo; Jin Hyeong Park; Bennett A. Landman; Andy Milkowski; Sasa Grbic; Shaohua Kevin Zhou (MICCAI (2), 2018)

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks. - Sebastian Gündel; Sasa Grbic; Bogdan Georgescu; Shaohua Kevin Zhou; Ludwig Ritschl; Andreas Meier 009; Dorin Comaniciu (CoRR, 2018)

Select, Attend, and Transfer: Light, Learnable Skip Connections. - Saeid Asgari Taghanaki; Aïcha BenTaieb; Anmol Sharma; Shaohua Kevin Zhou; Yefeng Zheng 001; Bogdan Georgescu; Puneet Sharma; Sasa Grbic; Zhoubing Xu; Dorin Comaniciu; Ghassan Hamarneh (CoRR, 2018)

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. - Siqi Liu 001; Eli Gibson; Sasa Grbic; Zhoubing Xu; Arnaud Arindra Adiyoso Setio; Jie Yang 041; Bogdan Georgescu; Dorin Comaniciu (CoRR, 2018)

Towards intelligent robust detection of anatomical structures in incomplete volumetric data. - Florin C. Ghesu; Bogdan Georgescu; Sasa Grbic; Andreas K. Maier; Joachim Hornegger; Dorin Comaniciu (Medical Image Anal., 2018)

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images. - Siqi Liu 001; Daguang Xu; Shaohua Kevin Zhou; Sasa Grbic; Weidong Cai 001; Dorin Comaniciu (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Class-Aware Adversarial Lung Nodule Synthesis In CT Images. - Jie Yang 041; Siqi Liu 001; Sasa Grbic; Arnaud Arindra Adiyoso Setio; Zhoubing Xu; Eli Gibson; Guillaume Chabin; Bogdan Georgescu; Andrew F. Laine; Dorin Comaniciu (ISBI, 2019)

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. - Florin C. Ghesu; Bogdan Georgescu; Eli Gibson; Sebastian Gündel; Mannudeep K. Kalra; Ramandeep Singh; Subba R. Digumarthy; Sasa Grbic; Dorin Comaniciu (MICCAI (6), 2019)

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. - Sebastian Gündel; Florin C. Ghesu; Sasa Grbic; Eli Gibson; Bogdan Georgescu; Andreas K. Maier; Dorin Comaniciu (CoRR, 2019)

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. - Florin C. Ghesu; Bogdan Georgescu; Yefeng Zheng 001; Sasa Grbic; Andreas K. Maier; Joachim Hornegger; Dorin Comaniciu (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. - Sebastian Gündel; Arnaud A. A. Setio; Sasa Grbic; Andreas K. Maier; Dorin Comaniciu (MLMI@MICCAI, 2020)

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. - Donghao Zhang; Siqi Liu 001; Shikha Chaganti; Eli Gibson; Zhoubing Xu; Sasa Grbic; Weidong Cai 001; Dorin Comaniciu (CoRR, 2020)

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT. - Shikha Chaganti; Abishek Balachandran; Guillaume Chabin; Stuart Cohen; Thomas Flohr 001; Bogdan Georgescu; Philippe Grenier; Sasa Grbic; Siqi Liu 001; François Mellot; Nicolas Murray; Savvas Nicolaou; et al. (CoRR, 2020)

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19. - Siqi Liu 001; Bogdan Georgescu; Zhoubing Xu; Youngjin Yoo; Guillaume Chabin; Shikha Chaganti; Sasa Grbic; Sebastian Piat; Brian Teixeira; Abishek Balachandran; Vishwanath RS; Thomas J. Re; et al. (CoRR, 2020)

Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort. - Bogdan Georgescu; Shikha Chaganti; Gorka Bastarrika Aleman; Eduardo Jose Mortani Barbosa Jr.; Jordi Broncano Cabrero; Guillaume Chabin; Thomas Flohr 001; Philippe Grenier; Sasa Grbic; Nakul Gupta; François Mellot; Savvas Nicolaou; et al. (CoRR, 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. - Eduardo Jose Mortani Barbosa Jr.; Warren B. Gefter; Rochelle Yang; Florin C. Ghesu; Siqi Liu 001; Boris Mailhé; Awais Mansoor; Sasa Grbic; Sebastian Piat; Guillaume Chabin; R. S. Vishwanath; Abishek Balachandran; et al. (CoRR, 2020)

Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. - Sebastian Gündel; Arnaud A. A. Setio; Sasa Grbic; Andreas Maier 001; Dorin Comaniciu (Bildverarbeitung für die Medizin, 2021)

Quantifying and leveraging predictive uncertainty for medical image assessment. - 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; et al. (Medical Image Anal., 2021)

Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. - Sebastian Gündel; Arnaud A. A. Setio; Florin C. Ghesu; Sasa Grbic; Bogdan Georgescu; Andreas K. Maier; Dorin Comaniciu (Medical Image Anal., 2021)

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. - Siqi Liu 001; Arnaud Arindra Adiyoso Setio; Florin C. Ghesu; Eli Gibson; Sasa Grbic; Bogdan Georgescu; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2021)

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

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

COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. - Han Liu; Zhoubing Xu; Riqiang Gao; Hao Li 108; Jianing Wang 004; Guillaume Chabin; Ipek Oguz; Sasa Grbic (IEEE Trans. Medical Imaging, 2024)

Towards Robust Zero-shot Chest X-ray Classification - Exploring Data Distribution Bias in Chest X-ray Datasets. - Sheethal Bhat; Adarsh Bhandary Panambur; Awais Mansoor; Bogdan Georgescu; Sasa Grbic; Andreas K. Maier (Bildverarbeitung für die Medizin, 2025)

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage. - Youngjin Yoo; Bogdan Georgescu; Yanbo Zhang; Sasa Grbic; Han Liu; Gabriela D. Aldea; Thomas J. Re; Jyotipriya Das; Poikavila Ullaskrishnan; Eva Eibenberger; Andrei Chekkoury; Uttam Bodanapally; et al. (CoRR, 2025)

AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT. - Han Liu; Riqiang Gao; Sasa Grbic (CoRR, 2025)