Webb11 dec. 2024 · Specifically, we summarized the recent developments of deep learning-based methods in inter- and intra-modality image synthesis by listing and highlighting the proposed methods, study designs, and reported performances with related clinical applications on representative studies. WebbSimulation and Synthesis in Medical Imaging, pages 14{23, 2024. Lin Zhang, Lei Zhang, Xuanqin Mou, and David Zhang. Fsim: A feature similarity index for image quality assessment. IEEE transactions on Image Processing, 20(8):2378{2386, 2011. Jun-yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros.
SASHIMI 2016 : Simulation and Synthesis in Medical Imaging
WebbISBN-10: 3030875911. ISBN-13: 9783030875916. Formatas: 15.6 x 23.4 x 0.9 cm, minkšti viršeliai. Kalba: Anglų. Aprašymas. This book constitutes the refereed proceedings of the … Webb26 juli 2024 · Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks. Data diversity is critical to success when training deep … telephioidin
Virtual PET Images from CT Data Using Deep Convolutional …
Webb13 okt. 2024 · Simulation and Synthesis in Medical Imaging: 4th International Workshop, SASHIMI 2024, Held in Conjunction with MICCAI 2024, Shenzhen, China, October 13, … WebbSimulation and Synthesis in Medical Imaging Back to top About this book This book constitutes the refereed proceedings of the First International Workshop on Simulation and Synthesis in Medical Imaging, held in … WebbThe SASHIMI 2024 proceedings focus on simulation and synthesis in medical imaging, methods based on generative models, applications, and more. Simulation and Synthesis … telephanus velox