Abstract: Inverse problems in medical imaging, such as undersampled magnetic resonance imaging (MRI) and sparse-view computed tomography (CT) reconstruction, are essential yet challenging tasks for ...
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 ...
A PyTorch implementation of Denoising Diffusion Probabilistic Models (DDPM) from scratch, focusing on image generation. This project provides a clean, modular, and well-documented implementation of ...
Objectives We aimed to refine and culturally adapt an evidence-based communication intervention (EBCI), which consists of the 3R message framing model (Reframe, Reprioritise, Reform) and human ...
Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...
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