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Proton PBS treatment planning relies on iterative numerical optimization and is time-consuming. Deep learning enables rapid inference and therefore has the potential for fast prediction of beamlet intensities from anatomical imag...

Proton range uncertainty limits the precision of proton therapy. While PET-based verification is promising,current modeling methods are computationally inefficiency. This study presents a fast, accurate approach for simultaneous...

Convolution/superposition is a widely-used method for radiotherapy dose calculation, in which energy deposited at the first interaction point (TERMA) is convolved with a scatter kernel to obtain the dose. To account for tissue he...