Yu Du

Deep learning-based multi-frequency denoising for myocardial perfusion SPECT

EJNMMI Phys. 2024 Oct 2;11(1):80. doi: 10.1186/s40658-024-00680-w.ABSTRACTBACKGROUND: Deep learning (DL)-based denoising has been proven to improve image quality and quantitation accuracy of low dose (LD) SPECT. However, conventional DL-based methods used SPECT images with mixed frequency components

Y Yu Du
Oscar Brück

European health regulations reduce registry-based research

Health Res Policy Syst. 2024 Sep 30;22(1):135. doi: 10.1186/s12961-024-01228-1.ABSTRACTBACKGROUND: The European Health Data Space (EHDS) regulation has been proposed to harmonize health data processing. Given its parallels with the Act on Secondary Use of Health and Social Data (Secondary Use Act) i

O Oscar Brück
Hathal Salamah Alwageed

An empirical study for mitigating sustainable cloud computing challenges using ISM-ANN

PLoS One. 2024 Sep 30;19(9):e0308971. doi: 10.1371/journal.pone.0308971. eCollection 2024.ABSTRACTThe significance of cloud computing methods in everyday life is growing as a result of the exponential advancement and refinement of artificial technology. As cloud computing makes more progress, it wil

H Hathal Salamah Alwageed
Saeed Shurrab

Multimodal masked siamese network improves chest X-ray representation learning

Sci Rep. 2024 Sep 28;14(1):22516. doi: 10.1038/s41598-024-74043-x.ABSTRACTSelf-supervised learning methods for medical images primarily rely on the imaging modality during pretraining. Although such approaches deliver promising results, they do not take advantage of the associated patient or scan in

S Saeed Shurrab
Marta Mallardo

Impact of Lifestyle Interventions on Multiple Sclerosis: Focus on Adipose Tissue

Nutrients. 2024 Sep 14;16(18):3100. doi: 10.3390/nu16183100.ABSTRACTMultiple sclerosis (MS) is a chronic autoimmune disorder characterized by demyelination in the central nervous system (CNS), affecting individuals globally. The pathological mechanisms underlying MS remain unclear, but current evide

M Marta Mallardo
Yueyue Zhou

Few-Shot Image Classification of Crop Diseases Based on Vision-Language Models

Sensors (Basel). 2024 Sep 21;24(18):6109. doi: 10.3390/s24186109.ABSTRACTAccurate crop disease classification is crucial for ensuring food security and enhancing agricultural productivity. However, the existing crop disease classification algorithms primarily focus on a single image modality and typ

Y Yueyue Zhou
Qiong Yao

Visual Feature-Guided Diamond Convolutional Network for Finger Vein Recognition

Sensors (Basel). 2024 Sep 20;24(18):6097. doi: 10.3390/s24186097.ABSTRACTFinger vein (FV) biometrics have garnered considerable attention due to their inherent non-contact nature and high security, exhibiting tremendous potential in identity authentication and beyond. Nevertheless, challenges pertai

Q Qiong Yao
Bolin Zhang

An Efficient SM9 Aggregate Signature Scheme for IoV Based on FPGA

Sensors (Basel). 2024 Sep 17;24(18):6011. doi: 10.3390/s24186011.ABSTRACTWith the rapid development of the Internet of Vehicles (IoV), the demand for secure and efficient signature verification is becoming increasingly urgent. To meet this need, we propose an efficient SM9 aggregate signature scheme

B Bolin Zhang