High-quality segmentation datasets are essential for advancing AI applications in medical imaging. However, it is challenging to generate such datasets for highly variable and complex organs like the ...

(C1) The output should contain only those NxN patterns of pixels that are present in the input. (Weak C2) Distribution of NxN patterns in the input should be similar to the distribution of NxN ...

Measurement of auricle parameters for planning and post-operative evaluation presents substantial challenges due to the complex 3D structure of the human auricle. Traditional measurement methods rely ...

NeRF in 2020 changed 3D reconstruction by showing how to effectively optimize neural radiance fields to render photorealistic novel views of scenes with complicated geometry and appearance. In my ...

Numerical modeling of global atmospheric chemical dynamics presents an enormous challenge, associated with simulating hundreds of chemical species with time scales varying from milliseconds to years.