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- https://arxiv.org/abs/2105.05318
- 2021
GAN（Generative Adversarial Networks）はますます強力になってきており、複製するように訓練されたデータセットの内容を模倣した、心を揺さぶるようなフォトリアリスティックな画像を生成します。
医用画像の分野では、GANが現実的なRGB画像を生成するのと同様に、実用的な医用データ…
e4exp updated
3 years ago
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Add the GAN from ["Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis"](https://ieeexplore.ieee.org/abstract/document/9770375) (official code available in this [link](https://gi…
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Here are a few things I found related to the use of the generative models to obtain synthetic medical data.
## Bibliography
- **Synthesis in Multi-Contrast MRI with Conditional Generative Adver…
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# Abstract
Generative Adversarial Networks(GAN)은 데이터 생성에서 뛰어난 모습을 보이고 있다. 많은 영역에서 쓰이고 있지만 여전히 안정적인 학습에는 어려움이 따른다. 문제점으로는 Nash-equilibrium, internal covariate shift, mode collapse, vanishing gradient,…
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**Suggested format**
- Paper title:
- Author list:
- Paper link:
- Code link:
We have made efforts to include papers related to synthetic tumors as comprehensively as possible, but we acknowled…
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+1. Gatys, Leon, Alexander S. Ecker, and Matthias Bethge. "Texture synthesis using convolutional neural networks." Advances in Neural Information Processing Systems. 2015.
+2. Gatys, Leon A., Alexa…
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Can this model obtain a corresponding 3D model based on MRI or CT data, for example, if the input is human brain MRI, can a 3D brain model be obtained
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哥 ，我准备去复现《3D Segmentation Guided Style-Based Generative Adversarial Networks for PET Synthesis》这篇文章，因为这篇文章也是用分割来引导生成的一种，但是我想问一下这里面的PET数据和之前的all-in-one的pet数据是同一个么？我想知道一些额外的参数细节：您实验里面涉及到的其他比较算法，CycleWGA…
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## Description
As the Facilities team, we would like to understand pain points and unmet needs for VAMC PAO editors so that we can identify high value work in this area and inform our priorities.
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