Dimitris Visvikis

2 articles · 8 co-authors · latest: 2026-07-17
125 citations · h-index 6 · 34 papersData: Semantic Scholar

We have retold 2 papers by this author. most often about: Monte Carlo methods, deep learning in medical imaging, medical image segmentation. 8 co-authors across our retellings.

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Medical Physics2026-04-101 minarXiv:2604.09157express
Radiation therapy speeds up: dose in seconds
Prostate cancer radiation therapy requires precise calculation of the radiation dose at every point in the body. The classic Monte Carlo method simulates millions of particles and takes hours, while adapting the plan to daily anatomical changes needs seconds.
Medical Physics2026-07-172 minarXiv:2607.16491express
A Medical 3D Scanner That Learns to See It All at Once
To capture every detail of a statue's shape, you could break it into millions of tiny cubes and describe each one — slow, heavy, and your computer's memory would groan at the seams. That's how 3D medical scans are usually handled: a CT or MRI is a huge array of such cubes (voxels), and to create or improve an image, the machine has to plow through all of them.