Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography. - Florin C. Ghesu; Michael Wels; Anna K. Jerebko; Michael Sühling; Joachim Hornegger; B. Michael Kelm (MCV, 2013)

Guided Image Super-Resolution: A New Technique for Photogeometric Super-Resolution in Hybrid 3-D Range Imaging. - Florin C. Ghesu; Thomas Köhler 004; Sven Haase; Joachim Hornegger (GCPR, 2014)

Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. - Florin C. Ghesu; Bogdan Georgescu; Yefeng Zheng 001; Joachim Hornegger; Dorin Comaniciu (MICCAI (1), 2015)

An Artificial Agent for Anatomical Landmark Detection in Medical Images. - Florin C. Ghesu; Bogdan Georgescu; Tommaso Mansi; Dominik Neumann; Joachim Hornegger; Dorin Comaniciu (MICCAI (3), 2016)

Deep Learning Computed Tomography. - Tobias Würfl; Florin C. Ghesu; Vincent Christlein; Andreas K. Maier (MICCAI (3), 2016)

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. - Florin C. Ghesu; Edward Krubasik; Bogdan Georgescu; Vivek K. Singh 002; Yefeng Zheng 001; Joachim Hornegger; Dorin Comaniciu (IEEE Trans. Medical Imaging, 2016)

Efficient Medical Image Parsing. - Florin C. Ghesu; Bogdan Georgescu; Joachim Hornegger (Deep Learning for Medical Image Analysis, 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 (Bildverarbeitung für die Medizin, 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)

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 (MICCAI (1), 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 (MLSP, 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)

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)

SHAMANN: Shared Memory Augmented Neural Networks. - Cosmin I. Bercea; Olivier Pauly; Andreas K. Maier; Florin C. Ghesu (IPMI, 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)

Artificial Intelligence for Medical Image Understanding. - Florin-Cristian Ghesu (2019)

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)

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)

Design and validation of zero-slack separable manipulator for Intracardiac Echocardiography. - Christian DeBuys; Florin C. Ghesu; Reza Langari; Young-Ho Kim (CoRR, 2022)

ConTrack: Contextual Transformer for Device Tracking in X-Ray. - Marc Demoustier; Yue Zhang; Venkatesh Narasimha Murthy; Florin C. Ghesu; Dorin Comaniciu (MICCAI (9), 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 (MICCAI (1), 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)

AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation. - Young-Ho Kim; Èric Lluch; Gulsun Mehmet; Florin C. Ghesu; Ankur Kapoor (CoRR, 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)

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy. - Riqiang Gao; Florin-Cristian Ghesu; Simon Arberet; Shahab Basiri; Esa Kuusela; Martin Kraus; Dorin Comaniciu; Ali Kamen (ICML, 2024)

Goal-Conditioned Reinforcement Learning for Ultrasound Navigation Guidance. - 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 (MICCAI (11), 2024)

A Novel Tracking Framework for Devices in X-ray Leveraging Supplementary Cue-Driven Self-supervised Features. - Saahil Islam; Venkatesh N. Murthy; Dominik Neumann; Serkan Çimen; Puneet Sharma; Andreas K. Maier; Dorin Comaniciu; Florin C. Ghesu (MICCAI (6), 2024)

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow. - Marvin Tom Teichmann; Manasi Datar; Lisa Kratzke; Fernando Vega; Florin C. Ghesu (MICCAI (10), 2024)

Cardiac ultrasound simulation for autonomous ultrasound navigation. - 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; et al. (CoRR, 2024)

Self-Supervised Learning for Interventional Image Analytics: Towards Robust Device Trackers. - Saahil Islam; Venkatesh N. Murthy; Dominik Neumann; Badhan Kumar Das; Puneet Sharma; Andreas K. Maier; Dorin Comaniciu; Florin C. Ghesu (CoRR, 2024)

Automating High Quality RT Planning at Scale. - 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; et al. (CoRR, 2025)

A Beam's Eye View to Fluence Maps 3D Network for Ultra Fast VMAT Radiotherapy Planning. - Simon Arberet; Florin C. Ghesu; Riqiang Gao; Martin Kraus; Jonathan Sackett; Esa Kuusela; Ali Kamen (CoRR, 2025)