Dipesh

Impact of multisequence MRI on deep learning-based dose prediction for glioblastoma radiotherapy: A comparative evaluation of CT-only and CT+MRI models.

INTRODUCTION Deep learning-based dose prediction has emerged as a promising approach for supporting automated radiotherapy planning workflows by estimating three-dimensional dose distributions from patient imaging. Although planning CT remains the standard imaging modality, multisequence MRI provides anatomical and tis...

End-to-end technical validation of multi-isocenter total body irradiation using an anthropomorphic phantom.

Stability and Intelligent Control of a Fractional Predator–Prey System with Time Delay and Holling Type-III Functional Response

This paper presents an analytical and control model for a fractional-order delayed predator–prey system with a Holling Type-III functional response. In the model, Caputo fractional derivatives capture long-term memory and hereditary effects in population dynamics, while the finite-delay terms model gestation and enviro...