Frontiers

Early Alzheimer’s risk detection via diffusion tensor imaging using a few-shot multichannel attention residual learning network

Alzheimer’s disease (AD) is responsible for many dementia-related deaths worldwide, and Mild Cognitive Impairment (MCI) is often its earliest clinical manifestation. Early detection of MCI is ...
IEEE

Discrete Diffusion-Based Sampling for Massive MIMO Detection

Abstract: In this paper, we study a sampling-based detection strategy for massive multiple-input multiple-output (MIMO) systems, driven by a modified discrete diffusion model formulated as an ...
GitHub

MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding

Our long-term goal is to build efficient and reliable 2.5B diffusion-based decoding for document OCR. MinerU-Diffusion reframes document OCR as an inverse rendering problem and replaces slow, ...
IEEE

DADM: Denoising and Attention-Driven Diffusion Model for Anomaly Detection

Anomaly detection is crucial in industrial manufacturing, yet the limited availability of anomaly data restricts the performance of existing methods. Although anomaly gen...Show More Anomaly detection ...