Posthoc network compression via Tucker decomposition reduces computational demand of image segmentation models https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #RadCT #ML #MachineLearning
January 28, 2025 at 4:15 AM
Posthoc network compression via Tucker decomposition reduces computational demand of image segmentation models https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #RadCT #ML #MachineLearning
Technical feasibility of implementing homomorphic encryption in #DL models for privacy-preserving CT image analysis of renal masses https://doi.org/10.1148/ryai.240798 #encryption #privacy #RadCT
August 30, 2025 at 3:15 AM
Technical feasibility of implementing homomorphic encryption in #DL models for privacy-preserving CT image analysis of renal masses https://doi.org/10.1148/ryai.240798 #encryption #privacy #RadCT
Does network compression for segmentation CNNs using Tucker-decomposed layers really work? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #TotalSegmentator #RadCT #AI
April 4, 2025 at 3:15 PM
Does network compression for segmentation CNNs using Tucker-decomposed layers really work? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #TotalSegmentator #RadCT #AI
Can the computational effort of 3D CT-based multiorgan segmentation with TotalSegmentator be reduced via Tucker decomposition-based network compression? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #TotalSegmentator #RadCT #AI
March 10, 2025 at 4:15 PM
Can the computational effort of 3D CT-based multiorgan segmentation with TotalSegmentator be reduced via Tucker decomposition-based network compression? https://doi.org/10.1148/ryai.240353 @rsnasky.bsky.social #TotalSegmentator #RadCT #AI