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dear professer:
I have been paying much attention on the dimension reduction technique, and recently, I try the architecure of parametric_umap with autencoding based on the Tf2.3 library. I want to…
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Dear @suxuann ,
Thanks for sharing the awesome work.
I tried DDIB for modality transfer: CT image to MR image.
I trained a CT model and an MR model on my own dataset based on [guided-diffusio…
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When I select a nuclear medicine exam for sending or exporting, only the first image of the tomographic series (acquired and reconstructed, gated or not gated) and of the dynamic series are transmitte…
jpm49 updated
4 years ago
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尊敬的Dianlin Hu 您好，
最近拜读了您的论文，您做出了非常棒的工作，我也在研究学习MRI重建，所以您能否分享一下关于生成2D-Gaussian mask的源代码，供我学习和进行相关对比实验！
祝好！
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Hello, can you explain the function of your code? And can the dataset be shared?
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## 🚀 Feature
Kornia already has a set of exciting deep learning based models implemented.
I would like to add to Kornia the first stereo model: PSMNet. PSMNet is used in many stereo research pape…
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Hi there,
Thank you for your valuable contribution to the project.
I've been reproducing results on the LIDC dataset, and I have a couple of questions regarding the experimental setup.
I traine…
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The following code
```python
import odl
import adutils
# Discretization
reco_space = adutils.get_discretization(use_2D=True)
# Forward operator (in the form of a broadcast operator)
A = adu…
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I combine the [DiffDRR ](https://github.com/eigenvivek/DiffDRR) package to generate DRR images. I rewrote the code for generating data. However, after training, the reconstruction and rendering effect…
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Hi, Thanks so much for the wonderful work. I have some thoughts though.
1) The pretraining 96k data are from https://radiopaedia.org/, but it has only 60692 cases including all the different modali…