Florin C. Ghesu

发表

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

Peter F. Neher, Klaus H. Maier-Hein, Andreas K. Maier, 2017, Bildverarbeitung für die Medizin.

Robust Non-rigid Registration Through Agent-Based Action Learning

Hervé Delingette, Li Zhang, Nicholas Ayache, 2017, MICCAI.

Learning cardiac anatomy

Dorin Comaniciu, Yue Zhang, Sasa Grbic, 2020 .

Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography

Joachim Hornegger, Anna K. Jerebko, B. Michael Kelm, 2013, MCV.

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Youngjin Yoo, Mannudeep K. Kalra, Eli Gibson, 2020, Medical Image Anal..

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

Sven Haase, Joachim Hornegger, Thomas Köhler, 2014, GCPR.

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

Dorin Comaniciu, Joachim Hornegger, Yefeng Zheng, 2015, MICCAI.

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels pdf

Dorin Comaniciu, Andreas K. Maier, Eli Gibson, 2019, ArXiv.

SHAMANN: Shared Memory Augmented Neural Networks

Andreas K. Maier, Olivier Pauly, Florin C. Ghesu, 2019, IPMI.

Towards intelligent robust detection of anatomical structures in incomplete volumetric data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2018, Medical Image Anal..

Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2018, Bildverarbeitung für die Medizin.

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 pdf

Dorin Comaniciu, Boris Mailhé, Sasa Grbic, 2020, ArXiv.

Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing

Dorin Comaniciu, Joachim Hornegger, Yefeng Zheng, 2016, IEEE Transactions on Medical Imaging.

An Artificial Agent for Anatomical Landmark Detection in Medical Images

Dorin Comaniciu, Joachim Hornegger, Tommaso Mansi, 2016, MICCAI.

Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data

Dorin Comaniciu, Andreas K. Maier, Joachim Hornegger, 2017, MICCAI.

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment pdf

Dorin Comaniciu, Mannudeep K. Kalra, Eli Gibson, 2019, MICCAI.

Deep Learning Computed Tomography

Andreas K. Maier, Tobias Würfl, Vincent Christlein, 2016, MICCAI.

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

Andreas K. Maier, Tino Haderlein, Boris Mailhé, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Efficient Medical Image Parsing

Joachim Hornegger, Bogdan Georgescu, Florin C. Ghesu, 2017, Deep Learning for Medical Image Analysis.

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

Dorin Comaniciu, Eli Gibson, Arnaud Arindra Adiyoso Setio, 2021, IEEE Transactions on Medical Imaging.

Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment

Dorin Comaniciu, Sasa Grbic, Bogdan Georgescu, 2021, Medical Image Anal..

Self-supervised Learning from 100 Million Medical Images pdf

Dorin Comaniciu, Sasa Grbic, James M. Balter, 2022, ArXiv.

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

Florin C. Ghesu, D. Comaniciu, J. Hornegger, 2016, IEEE transactions on medical imaging.

Cardiac-Gated Spectroscopic Photoacoustic Imaging for Ablation-Induced Necrotic Lesion Visualization: In Vivo Demonstration in a Beating Heart

Florin C. Ghesu, Haichong K. Zhang, H. Halperin, 2022, bioRxiv.

Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19

Florin C. Ghesu, D. Comaniciu, W. Gefter, 2022, Journal of medical imaging.

Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage.

Florin C. Ghesu, M. Ingrisch, J. Dinkel, 2021, Investigative radiology.

Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning

Florin C. Ghesu, J. Burt, Awais Mansoor, 2022, BMC Infectious Diseases.

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

Florin C. Ghesu, R. Langari, J. Jayender, 2023, ArXiv.

An Artificial Intelligence–Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study

Florin C. Ghesu, Ramandeep Singh, M. Kalra, 2021, JAMA network open.

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

Dorin Comaniciu, Andreas Maier, Joachim Hornegger, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Florin C. Ghesu, D. Comaniciu, B. Georgescu, 2020, IEEE Transactions on Medical Imaging.

Cardiac-Gated Spectroscopic Photoacoustic Imaging for Ablation-Induced Necrotic Lesion Visualization: In Vivo Demonstration in a Beating Heart

Florin C. Ghesu, Haichong K. Zhang, H. Halperin, 2023, bioRxiv.

Cardiac-Gated Spectroscopic Photoacoustic Imaging for Ablation-Induced Necrotic Lesion Visualization: In Vivo Demonstration in a Beating Heart

Florin C. Ghesu, Haichong K. Zhang, H. Halperin, 2023, bioRxiv.

Contrastive self-supervised learning from 100 million medical images with optional supervision

Florin C. Ghesu, Pragneshkumar B. Patel, D. Comaniciu, 2022, Journal of medical imaging.

Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.

Florin C. Ghesu, W. Gefter, S. Vogt, 2021, Investigative radiology.

Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training

Florin C. Ghesu, M. Ingrisch, B. Schachtner, 2021, European Radiology.

Generative Adversarial CT Volume Extrapolation for Robust Small-to-Large Field of View Registration

Thomas S. Pheiffer, Florin C. Ghesu, Tommaso Mansi, 2022, Applied Sciences.

Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge

Sanjeev Kumar Karn, Florin C. Ghesu, D. Comaniciu, 2023, Procedia Computer Science.

Separable Tendon-Driven Robotic Manipulator with a Long, Flexible, Passive Proximal Section

Florin C. Ghesu, R. Langari, J. Jayender, 2023, Journal of Mechanisms and Robotics.

AI-based Agents for Automated Robotic Endovascular Guidewire Manipulation

Florin C. Ghesu, A. Kapoor, È. Lluch, 2023, Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023.

Florin C. Ghesu, D. Comaniciu, S. Kappler, 2020, ArXiv.

ConTrack: Contextual Transformer for Device Tracking in X-ray

Florin C. Ghesu, D. Comaniciu, Yue Zhang, 2023, MICCAI.