Florin C. Ghesu

43 papers Journal 25Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI End-to-End Radiation Treatment Planning Under One Second. CoRR Simon Arberet, Riqiang Gao, Martin Kraus, Florin C. Ghesu, Wilko Verbakel, Mamadou Diallo, Anthony Magliari, Venkatesan Karuppusamy, Sushil Beriwal, REQUITE Consortium, Ali Kamen, Dorin Comaniciu
2025	J	`jnl`	A Beam's Eye View to Fluence Maps 3D Network for Ultra Fast VMAT Radiotherapy Planning. CoRR Simon Arberet, Florin C. Ghesu, Riqiang Gao, Martin Kraus, Jonathan Sackett, Esa Kuusela, Ali Kamen
2025	J	`jnl`	A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-Supervised Features. CoRR Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Serkan Çimen, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu
2025	J	`jnl`	Automating High Quality RT Planning at Scale. CoRR Riqiang Gao, Mamadou Diallo, Han Liu, Anthony Magliari, Jonathan Sackett, Wilko Verbakel, Sandra Meyers, Masoud Zarepisheh, Rafe McBeth, Simon Arberet, Martin Kraus, Florin C. Ghesu, Ali Kamen
2024	—	`conf`	A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-supervised Features. MICCAI (6) Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Serkan Çimen, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu
2024	—	`conf`	Goal-Conditioned Reinforcement Learning for Ultrasound Navigation Guidance. MICCAI (11) Abdoul-aziz Amadou, Vivek Singh, Florin C. Ghesu, Young-Ho Kim, Laura Stanciulescu, Harshitha P. Sai, Puneet Sharma, Alistair A. Young, Ronak Rajani, Kawal S. Rhode
2024	J	`jnl`	Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. CoRR Riqiang Gao, Florin C. Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen
2024	J	`jnl`	Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers. CoRR Saahil Islam, Venkatesh N. Murthy, Dominik Neumann, Badhan Kumar Das, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu
2024	—	`conf`	Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. MICCAI (10) Marvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu
2024	J	`jnl`	Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. CoRR Marvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu
2023	J	`jnl`	AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation. CoRR Young-Ho Kim, Èric Lluch, Gulsun Mehmet, Florin C. Ghesu, Ankur Kapoor
2023	—	`conf`	ConTrack: Contextual Transformer for Device Tracking in X-Ray. MICCAI (9) Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu
2023	J	`jnl`	ConTrack: Contextual Transformer for Device Tracking in X-ray. CoRR Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu
2023	J	`jnl`	Design, Modeling, and Evaluation of Separable Tendon-Driven Robotic Manipulator with Long, Passive, Flexible Proximal Section. CoRR Christian DeBuys, Florin C. Ghesu, Jagadeesan Jayender, Reza Langari, Young-Ho Kim
2023	J	`jnl`	Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge. CoRR 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
2023	—	`conf`	Multi-scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional Supervision. MICCAI (1) Anamaria Vizitiu, Antonia T. Mohaiu, Ioan M. Popdan, Abishek Balachandran, Florin C. Ghesu, Dorin Comaniciu
2022	J	`jnl`	Design and validation of zero-slack separable manipulator for Intracardiac Echocardiography. CoRR Christian DeBuys, Florin C. Ghesu, Reza Langari, Young-Ho Kim
2022	J	`jnl`	Self-supervised Learning from 100 Million Medical Images. CoRR 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
2021	J	`jnl`	No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. IEEE Trans. Medical Imaging Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
2021	J	`jnl`	Quantifying and leveraging predictive uncertainty for medical image assessment. Medical Image Anal. 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
2021	J	`jnl`	Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. CoRR Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
2021	J	`jnl`	Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
2020	J	`jnl`	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 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
2020	J	`jnl`	No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks. CoRR Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu
2020	J	`jnl`	Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. CoRR 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
2019	J	`jnl`	Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. IEEE Trans. Pattern Anal. Mach. Intell. Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
2019	J	`jnl`	Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels. CoRR Sebastian Gündel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
2019	—	`conf`	Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
2019	J	`jnl`	Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. CoRR Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu
2019	—	`conf`	SHAMANN: Shared Memory Augmented Neural Networks. IPMI Cosmin I. Bercea, Olivier Pauly, Andreas K. Maier, Florin C. Ghesu
2018	—	`conf`	Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data. Bildverarbeitung für die Medizin Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
2018	J	`jnl`	Towards intelligent robust detection of anatomical structures in incomplete volumetric data. Medical Image Anal. Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
2017	—	`ch.`	Efficient Medical Image Parsing. Deep Learning for Medical Image Analysis Florin C. Ghesu, Bogdan Georgescu, Joachim Hornegger
2017	—	`conf`	Noise reduction in low-dose ct using a 3D multiscale sparse denoising autoencoder. MLSP Katrin Mentl, Boris Mailhé, Florin C. Ghesu, Frank Schebesch, Tino Haderlein, Andreas K. Maier, Mariappan S. Nadar
2017	—	`conf`	Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data. MICCAI (1) Florin C. Ghesu, Bogdan Georgescu, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu
2017	—	`conf`	Robust Non-rigid Registration Through Agent-Based Action Learning. MICCAI (1) Julian Krebs, Tommaso Mansi, Hervé Delingette, Li Zhang, Florin C. Ghesu, Shun Miao, Andreas K. Maier, Nicholas Ayache, Rui Liao, Ali Kamen
2017	—	`conf`	Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher, Klaus H. Maier-Hein
2016	—	`conf`	An Artificial Agent for Anatomical Landmark Detection in Medical Images. MICCAI (3) Florin C. Ghesu, Bogdan Georgescu, Tommaso Mansi, Dominik Neumann, Joachim Hornegger, Dorin Comaniciu
2016	—	`conf`	Deep Learning Computed Tomography. MICCAI (3) Tobias Würfl, Florin C. Ghesu, Vincent Christlein, Andreas K. Maier
2016	J	`jnl`	Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. IEEE Trans. Medical Imaging Florin C. Ghesu, Edward Krubasik, Bogdan Georgescu, Vivek K. Singh, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
2015	—	`conf`	Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. MICCAI (1) Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu
2014	—	`conf`	Guided Image Super-Resolution: A New Technique for Photogeometric Super-Resolution in Hybrid 3-D Range Imaging. GCPR Florin C. Ghesu, Thomas Köhler, Sven Haase, Joachim Hornegger
2013	—	`conf`	Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography. MCV Florin C. Ghesu, Michael Wels, Anna K. Jerebko, Michael Sühling, Joachim Hornegger, B. Michael Kelm