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Andrey Fedorov

Showing results (11-20 of 29) with videos related to

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Medical Physics|August 11, 2020
DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodulesAndrey Fedorov, Matthew Hancock, David Clunie, et al.
Arxiv|September 21, 2023
Real-Time Dynamic Data Driven Deformable Registration for Image-Guided Neurosurgery: Computational AspectsNikos Chrisochoides, Andrey Fedorov, Yixun Liu, et al.
Nature Communications|August 13, 2024
End-to-end reproducible AI pipelines in radiology using the cloudDennis Bontempi, Leonard Nuernberg, Suraj Pai, et al.
Frontiers in Digital Health|December 25, 2023
Comparison of physics-based deformable registration methods for image-guided neurosurgeryNikos Chrisochoides, Yixun Liu, Fotis Drakopoulos, et al.
Insights Into Imaging|May 4, 2023
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMIIBurak Kocak, Bettina Baessler, Spyridon Bakas, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 8, 2026
In search of truth: evaluating concordance of AI-based anatomy segmentation modelsLena Giebeler, Deepa Krishnaswamy, David Clunie, et al.
Magnetic Resonance in Medicine|October 13, 2023
A community-endorsed open-source lexicon for contrast agent-based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)Ben R Dickie, Zaki Ahmed, Jonathan Arvidsson, et al.
Research Square|June 22, 2026
MHub.ai: A Standardized Platform for Reproducible AI Research in Medical ImagingHugo Aerts, Leonard Nürnberg, Dennis Bontempi, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Pageof 3

Showing results (11-20 of 29) with videos related to

Sort By:
Pageof 3
Medical Physics|August 11, 2020
DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodulesAndrey Fedorov, Matthew Hancock, David Clunie, et al.
Arxiv|September 21, 2023
Real-Time Dynamic Data Driven Deformable Registration for Image-Guided Neurosurgery: Computational AspectsNikos Chrisochoides, Andrey Fedorov, Yixun Liu, et al.
Nature Communications|August 13, 2024
End-to-end reproducible AI pipelines in radiology using the cloudDennis Bontempi, Leonard Nuernberg, Suraj Pai, et al.
Frontiers in Digital Health|December 25, 2023
Comparison of physics-based deformable registration methods for image-guided neurosurgeryNikos Chrisochoides, Yixun Liu, Fotis Drakopoulos, et al.
Insights Into Imaging|May 4, 2023
CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMIIBurak Kocak, Bettina Baessler, Spyridon Bakas, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 8, 2026
In search of truth: evaluating concordance of AI-based anatomy segmentation modelsLena Giebeler, Deepa Krishnaswamy, David Clunie, et al.
Magnetic Resonance in Medicine|October 13, 2023
A community-endorsed open-source lexicon for contrast agent-based perfusion MRI: A consensus guidelines report from the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)Ben R Dickie, Zaki Ahmed, Jonathan Arvidsson, et al.
Research Square|June 22, 2026
MHub.ai: A Standardized Platform for Reproducible AI Research in Medical ImagingHugo Aerts, Leonard Nürnberg, Dennis Bontempi, et al.
JCO Clinical Cancer Informatics|May 12, 2020
Quantitative Imaging Informatics for Cancer ResearchAndrey Fedorov, Reinhard Beichel, Jayashree Kalpathy-Cramer, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceAndrey Fedorov, William J R Longabaugh, David Pot, et al.
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