arXiv:1901.05259
공식 코드 · Papers with Code
MRI to CT Translation with GANs
원문 초록
We present a detailed description and reference implementation of preprocessing steps necessary to prepare the public Retrospective Image Registration Evaluation (RIRE) dataset for the task of magnetic resonance imaging (MRI) to X-ray computed tomography (CT) translation. Furthermore we describe and implement three state of the art convolutional neural network (CNN) and generative adversarial network (GAN) models where we report statistics and visual results of two of them.
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Are Vision Foundation Models Ready for Out-of-the-Box Medical Image Registration?
Generative Latent Kernel Modeling for Blind Motion Deblurring
Enhancing Synthetic CT from CBCT via Multimodal Fusion and End-To-End Registration
CycleVAR: Repurposing Autoregressive Model for Unsupervised One-Step Image Translation
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting
CycleDistill: Bootstrapping Machine Translation using LLMs with Cyclical Distillation
토론
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