Abstract: In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems.

Molecular imaging is redefining in vivo characterization of multiple sclerosis, a demyelinating disease with complex and heterogeneous clinical profiles. Recent advances in PET tracers enable more ...

Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...

This is a python implementation of LDA using gibbs sampling algorithm. The following picture shows the top 10 words in the 10 topics (set K = 10) generated by this algorithm over 16 sentences about ...

This repository contains the full body of research and code from my master's thesis on the inverse design of photonic structures for dielectric laser acceleration (DLA). The project focuses on ...