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Vincent Andrearczyk

Showing results (1-10 of 23) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|June 18, 2019
Neural network training for cross-protocol radiomic feature standardization in computed tomographyVincent Andrearczyk, Adrien Depeursinge, Henning Müller
Medical Image Analysis|July 6, 2020
Local rotation invariance in 3D CNNsVincent Andrearczyk, Julien Fageot, Valentin Oreiller, et al.
Frontiers in Bioengineering and Biotechnology|September 12, 2019
Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational PathologySebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CTVincent Andrearczyk, Valentin Oreiller, Mario Jreige, et al.
Seminars in Radiation Oncology|October 6, 2022
Automated Tumor Segmentation in RadiotherapyRicky R Savjani, Michael Lauria, Supratik Bose, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer GradingMarek Wodzinski, Tommaso Banzato, Manfredo Atzori, et al.
Plos One|May 9, 2025
Harmonizing CT scanner acquisition variability in an anthropomorphic phantom: A comparative study of image-level and feature-level harmonization using GAN, ComBat, and their combinationShruti Atul Mali, Nastaran Mohammadian Rad, Henry C Woodruff, et al.
International Journal of Legal Medicine|December 3, 2025
Automatic rib fracture detection on postmortem CT data using deep learningManel Lopez-Melia, Virginie Magnin, Sami Schranz, et al.
Scientific Reports|February 1, 2026
Instance-level quantitative saliency in multiple sclerosis lesion segmentationFederico Spagnolo, Nataliia Molchanova, Meritxell Bach Cuadra, et al.
Journal of Personalized Medicine|September 28, 2021
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization MethodsShruti Atul Mali, Abdalla Ibrahim, Henry C Woodruff, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Journal of Medical Imaging (Bellingham, Wash.)|June 18, 2019
Neural network training for cross-protocol radiomic feature standardization in computed tomographyVincent Andrearczyk, Adrien Depeursinge, Henning Müller
Medical Image Analysis|July 6, 2020
Local rotation invariance in 3D CNNsVincent Andrearczyk, Julien Fageot, Valentin Oreiller, et al.
Frontiers in Bioengineering and Biotechnology|September 12, 2019
Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational PathologySebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CTVincent Andrearczyk, Valentin Oreiller, Mario Jreige, et al.
Seminars in Radiation Oncology|October 6, 2022
Automated Tumor Segmentation in RadiotherapyRicky R Savjani, Michael Lauria, Supratik Bose, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer GradingMarek Wodzinski, Tommaso Banzato, Manfredo Atzori, et al.
Plos One|May 9, 2025
Harmonizing CT scanner acquisition variability in an anthropomorphic phantom: A comparative study of image-level and feature-level harmonization using GAN, ComBat, and their combinationShruti Atul Mali, Nastaran Mohammadian Rad, Henry C Woodruff, et al.
International Journal of Legal Medicine|December 3, 2025
Automatic rib fracture detection on postmortem CT data using deep learningManel Lopez-Melia, Virginie Magnin, Sami Schranz, et al.
Scientific Reports|February 1, 2026
Instance-level quantitative saliency in multiple sclerosis lesion segmentationFederico Spagnolo, Nataliia Molchanova, Meritxell Bach Cuadra, et al.
Journal of Personalized Medicine|September 28, 2021
Making Radiomics More Reproducible across Scanner and Imaging Protocol Variations: A Review of Harmonization MethodsShruti Atul Mali, Abdalla Ibrahim, Henry C Woodruff, et al.
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