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.

[BibT_eX]

[DOI]

Eduardo Jose Mortani Barbosa Jr.

Warren B. Gefter

CoRR, 2020

2019

Artificial Intelligence for Medical Image Understanding.

[BibT_eX]

[DOI]

Florin-Cristian Ghesu

PhD thesis, 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

SHAMANN: Shared Memory Augmented Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Towards intelligent robust detection of anatomical structures in incomplete volumetric data.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

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

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018

2017

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

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Robust Non-rigid Registration Through Agent-Based Action Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

Efficient Medical Image Parsing.

[BibT_eX]

[DOI]

Florin C. Ghesu

Bogdan Georgescu

Joachim Hornegger

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2016

Deep Learning Computed Tomography.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

An Artificial Agent for Anatomical Landmark Detection in Medical Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

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

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014

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

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013

Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography.

[BibT_eX]

[DOI]

Proceedings of the Medical Computer Vision. Large Data in Medical Imaging, 2013

Florin C. Ghesu

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