Lin Tian

Hi @Promise13 , Thanks for your interest in our work! As discussed in #1 , all the datasets we use are publicly available. However, one needs to register to obtain...

Hi @roominforest , Thanks for your interest in uniGradICON. ### 1. But I can't find how to evaluate on this dataset with your model. We haven't run a quantitative evaluation...

Hi @shifuxiao , Thanks for your interest in LiftReg. The preprocessing script is implemented specifically for the COPDGene lung CT dataset I used for the training. Feel free to open...

Hi Yuan, The LiftReg-noLift3D also relies on the PCA-built subspace. The only difference between LiftReg and LiftReg-noLift3D is whether one uses the Lift3D module. LiftReg-noLift3D duplicates the projections to generate...

@HastingsGreer , the code looks all good to me.

Hi @JuliGH6 , Thanks for your interest in our work! We are preparing the training and evaluation code for uniGradICON. It will be available after we finish cleaning the code....

Hi @Tara-Liu , You can find the training code at [this branch](https://github.com/uncbiag/uniGradICON/tree/feat-add-training)

We conduct minimal preprocessing for the training dataset, including the resampling and intensity normalization. Additionally, we applied the ROI masking for the lung (COPDGene) and brain (HCP) datasets but not...

No problem! Please don't hesitate to let me know if you encounter any issues when training GradICON or fine-tuning from uniGradICON.

You can check out this [tutorial](https://github.com/uncbiag/uniGradICON/wiki/uniGradICON-Howto) In addition, we have included this function as a CLI in the latest PyPI package. If you pip install the latest unigradicon Python package,...