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nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging., , , , , , and . BrainLes@MICCAI (2), volume 12963 of Lecture Notes in Computer Science, page 540-551. Springer, (2021)medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging., , , , , , , , , and 2 other author(s). CoRR, (2022)A gate level methodology for efficient statistical leakage estimation in complex 32nm circuits., , , , and . DATE, page 1056-1057. EDA Consortium San Jose, CA, USA / ACM DL, (2013)CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation., , , , , , , , , and 30 other author(s). Medical Image Anal., (2023)Statistical Estimation of Dominant Physical Parameters for Leakage Variability in 32 Nanometer CMOS, Under Supply Voltage Variations., , , , , , and . J. Low Power Electron., 8 (1): 113-124 (2012)CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation., , , , , , , , , and 30 other author(s). CoRR, (2022)Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation., , , , , , and . CoRR, (2023)Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models., , , , , , , , , and 2 other author(s). CoRR, (2024)