Vivek Gopalakrishnan

In MCC, we say if the graphs are weighted, run DCorr on the weights for each edge/community and correct with BH. If the graphs are unweighted, you should just use...

Can try using the pytorch profiler: https://pytorch.org/tutorials/beginner/profiler.html

NN works perfectly well with MSELoss. The issue is defining a loss function with the DRR module. This is because the DRR module makes the geometrics base parameters... that is,...

Or one can simply make the projection its own function for use as an intermediate layer :)

I have followed all the steps outlined in http://py.processing.org/tutorials/command-line/, however, I keep getting the following error message: ``` WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access...

hi @busyyang sorry for the slow reply - that visualization was created with a combination of terminal scripting and ffmpeg, not sure if i have code saved to disk anywhere....

onehot can be bypassed: https://stackoverflow.com/questions/78323859/broadcast-pytorch-array-across-channels-based-on-another-array

Hi @MarkoLeskovar, this is a good idea and something easy to implement. In DiffDRR, for each ray cast, we model the amount of energy absorbed by the volume, not the...

HI @MarkoLeskovar, been digging more into the literature based on your question. It appears the CT Hounsfield units -> LAC density conversion depends on the radiation dose ([this paper](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3532107/pdf/MPHYA6-000040-011902_1.pdf) was...

This proved to be a really interesting direction. Taking inspiration from DeepDRR, I found a few ways to implement dose-dependent rendering. However, I don't think the results look very accurate...