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Cosmin Ciausu

Showing results (1-10 of 5) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|December 8, 2025
Benchmarking of deep learning methods for generic MRI multi-organ abdominal segmentationDeepa Krishnaswamy, Cosmin Ciausu, Steve Pieper, et al.
Nature Communications|October 18, 2023
Paired yeast one-hybrid assays to detect DNA-binding cooperativity and antagonism across transcription factorsAnna Berenson, Ryan Lane, Luis F Soto-Ugaldi, 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.
Arxiv|December 3, 2025
Clinical Validation and Prospective Deployment of an Automated Deep Learning-Based Coronary Segmentation and Cardiac Toxicity Risk Prediction SystemChristian V Guthier, Christopher E Kehayias, Cosmin Ciausu, 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 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Journal of Medical Imaging (Bellingham, Wash.)|December 8, 2025
Benchmarking of deep learning methods for generic MRI multi-organ abdominal segmentationDeepa Krishnaswamy, Cosmin Ciausu, Steve Pieper, et al.
Nature Communications|October 18, 2023
Paired yeast one-hybrid assays to detect DNA-binding cooperativity and antagonism across transcription factorsAnna Berenson, Ryan Lane, Luis F Soto-Ugaldi, 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.
Arxiv|December 3, 2025
Clinical Validation and Prospective Deployment of an Automated Deep Learning-Based Coronary Segmentation and Cardiac Toxicity Risk Prediction SystemChristian V Guthier, Christopher E Kehayias, Cosmin Ciausu, 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 1