Florin C. Ghesu

According to our database, Florin C. Ghesu authored at least 29 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation.

Young-Ho Kim, Èric Lluch, Gulsun Mehmet, Florin C. Ghesu, Ankur Kapoor

CoRR, 2023

Design, Modeling, and Evaluation of Separable Tendon-Driven Robotic Manipulator with Long, Passive, Flexible Proximal Section.

Christian DeBuys, Florin C. Ghesu, Jagadeesan Jayender, Reza Langari, Young-Ho Kim

CoRR, 2023

Multi-scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision.

Anamaria Vizitiu, Antonia T. Mohaiu, Ioan M. Popdan, Abishek Balachandran, Florin C. Ghesu, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

ConTrack: Contextual Transformer for Device Tracking in X-Ray.

Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Design and validation of zero-slack separable manipulator for Intracardiac Echocardiography.

Christian DeBuys, Florin C. Ghesu, Reza Langari, Young-Ho Kim

CoRR, 2022

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

2021

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

Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu

IEEE Trans. Medical Imaging, 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

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, Sasa Grbic, Dorin Comaniciu

Medical Image Anal., 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.

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

CoRR, 2020

2019

Artificial Intelligence for Medical Image Understanding.

Florin-Cristian Ghesu

PhD thesis, 2019

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

Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu

IEEE Trans. Pattern Anal. Mach. Intell., 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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

SHAMANN: Shared Memory Augmented Neural Networks.

Cosmin I. Bercea, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu

Proceedings of the Information Processing in Medical Imaging, 2019

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

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

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder.

Katrin Mentl, Boris Mailhé, Florin C. Ghesu, Frank Schebesch, Tino Haderlein, Andreas K. Maier, Mariappan S. Nadar

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Robust Non-rigid Registration Through Agent-Based Action Learning.

Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.

Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Efficient Medical Image Parsing.

Florin C. Ghesu, Bogdan Georgescu, Joachim Hornegger

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing.

Florin C. Ghesu, Edward Krubasik, Bogdan Georgescu, Vivek K. Singh, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu

IEEE Trans. Medical Imaging, 2016

Deep Learning Computed Tomography.

Tobias Würfl, Florin C. Ghesu, Vincent Christlein, Andreas K. Maier

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

An Artificial Agent for Anatomical Landmark Detection in Medical Images.

Florin C. Ghesu, Bogdan Georgescu, Tommaso Mansi, Dominik Neumann, Joachim Hornegger, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data.

Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

Guided Image Super-Resolution: A New Technique for Photogeometric Super-Resolution in Hybrid 3-D Range Imaging.

Florin C. Ghesu, Thomas Köhler, Sven Haase, Joachim Hornegger

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography.

Florin C. Ghesu, Michael Wels, Anna K. Jerebko, Michael Sühling, Joachim Hornegger, B. Michael Kelm

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013