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Florin C. Ghesu
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2020 – today
- 2024
- [c18]Riqiang Gao, Florin-Cristian Ghesu, Simon Arberet, Shahab Basiri, Esa Kuusela, Martin Kraus, Dorin Comaniciu, Ali Kamen:
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. ICML 2024 - [c17]Saahil Islam
, Venkatesh N. Murthy, Dominik Neumann, Serkan Çimen, Puneet Sharma, Andreas K. Maier, Dorin Comaniciu, Florin C. Ghesu:
A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-supervised Features. MICCAI (6) 2024: 25-34 - [c16]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:
Goal-Conditioned Reinforcement Learning for Ultrasound Navigation Guidance. MICCAI (11) 2024: 319-329 - [c15]Marvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu:
Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. MICCAI (10) 2024: 729-738 - [i17]Abdoul-aziz Amadou, Laura Peralta Pereira, Paul Dryburgh, Paul Klein, Kaloian Petkov, Richard James Housden, Vivek Singh, Rui Liao, Young-Ho Kim, Florin-Cristian Ghesu, Tommaso Mansi, Ronak Rajani, Alistair A. Young, Kawal S. Rhode:
Cardiac ultrasound simulation for autonomous ultrasound navigation. CoRR abs/2402.06463 (2024) - [i16]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 abs/2405.01156 (2024) - [i15]Abdoul-aziz Amadou, Vivek Singh, Florin-Cristian Ghesu, Young-Ho Kim, Laura Stanciulescu, Harshitha P. Sai, Puneet Sharma, Alistair A. Young, Ronak Rajani, Kawal S. Rhode:
Goal-conditioned reinforcement learning for ultrasound navigation guidance. CoRR abs/2405.01409 (2024) - [i14]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 abs/2406.01853 (2024) - [i13]Marvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu:
Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. CoRR abs/2409.18628 (2024) - 2023
- [c14]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: 573-582 - [c13]Marc Demoustier
ConTrack: Contextual Transformer for Device Tracking in X-Ray. MICCAI (9) 2023: 679-688 - [i12]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 abs/2301.00337 (2023) - [i11]Young-Ho Kim, Èric Lluch, Gulsun Mehmet, Florin C. Ghesu, Ankur Kapoor:
AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation. CoRR abs/2304.09286 (2023) - [i10]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 abs/2306.10448 (2023) - [i9]Marc Demoustier, Yue Zhang, Venkatesh Narasimha Murthy, Florin C. Ghesu, Dorin Comaniciu:
ConTrack: Contextual Transformer for Device Tracking in X-ray. CoRR abs/2307.07541 (2023) - 2022
- [i8]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 abs/2201.01283 (2022) - [i7]Christian DeBuys, Florin C. Ghesu, Reza Langari, Young-Ho Kim:
Design and validation of zero-slack separable manipulator for Intracardiac Echocardiography. CoRR abs/2204.00645 (2022) - 2021
- [j6]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath
Quantifying and leveraging predictive uncertainty for medical image assessment. Medical Image Anal. 68: 101855 (2021) - [j5]Sebastian Gündel
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. 72: 102087 (2021) - [j4]Siqi Liu
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. IEEE Trans. Medical Imaging 40(1): 335-345 (2021) - [i6]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 abs/2104.05261 (2021) - 2020
- [i5]Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks. CoRR abs/2003.03824 (2020) - [i4]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. CoRR abs/2007.04258 (2020) - [i3]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 abs/2008.06330 (2020)
2010 – 2019
- 2019
- [b1]Florin-Cristian Ghesu:
Artificial Intelligence for Medical Image Understanding. University of Erlangen-Nuremberg, Germany, 2019 - [j3]Florin C. Ghesu
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 176-189 (2019) - [c12]Cosmin I. Bercea
SHAMANN: Shared Memory Augmented Neural Networks. IPMI 2019: 830-841 - [c11]Florin C. Ghesu, Bogdan Georgescu, Eli Gibson
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) 2019: 676-684 - [i2]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 abs/1905.06362 (2019) - [i1]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 abs/1906.07775 (2019) - 2018
- [j2]Florin C. Ghesu
Towards intelligent robust detection of anatomical structures in incomplete volumetric data. Medical Image Anal. 48: 203-213 (2018) - [c10]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: 39 - 2017
- [c9]Vincent Christlein, Florin C. Ghesu, Tobias Würfl, Andreas K. Maier, Fabian Isensee, Peter Neher
Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis. Bildverarbeitung für die Medizin 2017: 6-7 - [c8]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: 194-202 - [c7]Julian Krebs, Tommaso Mansi, Hervé Delingette
Robust Non-rigid Registration Through Agent-Based Action Learning. MICCAI (1) 2017: 344-352 - [c6]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: 1-6 - [p1]Florin C. Ghesu, Bogdan Georgescu, Joachim Hornegger:
Efficient Medical Image Parsing. Deep Learning for Medical Image Analysis 2017: 55-81 - 2016
- [j1]Florin C. Ghesu
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. IEEE Trans. Medical Imaging 35(5): 1217-1228 (2016) - [c5]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: 229-237 - [c4]Tobias Würfl, Florin C. Ghesu, Vincent Christlein, Andreas K. Maier:
Deep Learning Computed Tomography. MICCAI (3) 2016: 432-440 - 2015
- [c3]Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng
Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. MICCAI (1) 2015: 710-718 - 2014
- [c2]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: 227-238 - 2013
- [c1]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: 148-157
Coauthor Index
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