Florin C. Ghesu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Landmark Detection

Top Venues

Medical Image Anal.

Bildverarbeitung für die Medizin

Publications

Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Badhan Kumar Das, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu
Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers. CoRR (2024)
Riqiang Gao, Florin C. Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. CoRR (2024)
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
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge. CoRR (2023)
Christian DeBuys, Florin C. Ghesu, Jagadeesan Jayender, Reza Langari, Young-Ho Kim
Design, Modeling, and Evaluation of Separable Tendon-Driven Robotic Manipulator with Long, Passive, Flexible Proximal Section. CoRR (2023)
Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu
ConTrack: Contextual Transformer for Device Tracking in X-ray. CoRR (2023)
Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu
ConTrack: Contextual Transformer for Device Tracking in X-Ray. MICCAI (9) (2023)
Young-Ho Kim, Èric Lluch, Gulsun Mehmet, Florin C. Ghesu, Ankur Kapoor
AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation. CoRR (2023)
Anamaria Vizitiu, Antonia T. Mohaiu, Ioan M. Popdan, Abishek Balachandran, Florin C. Ghesu, Dorin Comaniciu
Multi-scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision. MICCAI (1) (2023)
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
Self-supervised Learning from 100 Million Medical Images. CoRR (2022)
Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. IEEE Trans. Medical Imaging 40 (1) (2021)
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
Quantifying and leveraging predictive uncertainty for medical image assessment. Medical Image Anal. 68 (2021)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. 72 (2021)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. CoRR (2021)
Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks. CoRR (2020)
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
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)
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
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. CoRR (2020)
Cosmin I. Bercea, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu
SHAMANN: Shared Memory Augmented Neural Networks. IPMI (2019)
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) (2019)
Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. IEEE Trans. Pattern Anal. Mach. Intell. 41 (1) (2019)
Sebastian Gündel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. CoRR (2019)
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. CoRR (2019)
Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Towards intelligent robust detection of anatomical structures in incomplete volumetric data. Medical Image Anal. 48 (2018)
Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data. Bildverarbeitung für die Medizin (2018)
Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data. MICCAI (1) (2017)
Katrin Mentl, Boris Mailhé, Florin C. Ghesu, Frank Schebesch, Tino Haderlein, Andreas K. Maier, Mariappan S. Nadar
Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder. MLSP (2017)
Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen
Robust Non-rigid Registration Through Agent-Based Action Learning. MICCAI (1) (2017)
Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter F. Neher, Klaus H. Maier-Hein
Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin (2017)
Tobias Würfl, Florin C. Ghesu, Vincent Christlein, Andreas K. Maier
Deep Learning Computed Tomography. MICCAI (3) (2016)
Florin C. Ghesu, Edward Krubasik, Bogdan Georgescu, Vivek Singh, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. IEEE Trans. Medical Imaging 35 (5) (2016)
Florin C. Ghesu, Bogdan Georgescu, Tommaso Mansi, Dominik Neumann, Joachim Hornegger, Dorin Comaniciu
An Artificial Agent for Anatomical Landmark Detection in Medical Images. MICCAI (3) (2016)
Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. MICCAI (1) (2015)
Florin C. Ghesu, Thomas Köhler, Sven Haase, Joachim Hornegger
Guided Image Super-Resolution: A New Technique for Photogeometric Super-Resolution in Hybrid 3-D Range Imaging. GCPR (2014)
Florin C. Ghesu, Michael Wels, Anna K. Jerebko, Michael Sühling, Joachim Hornegger, B. Michael Kelm
Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography. MCV (2013)