Few-shot diagnosis of chest x-ray images using auxiliary information guided semi-deterministic infinite mixture prototypes [0.03%]
利用辅助信息引导的半确定性无限混合原型进行少样本胸部X光图像诊断
Prabhala Sandhya Gayatri,Devi Prasad Maharathy,Angshuman Paul
Prabhala Sandhya Gayatri
We propose a few-shot learning (FSL) approach for the diagnosis of chest x-ray images. Our model can be trained with a small number of annotated data by utilizing auxiliary semantic information about the abnormalities under consideration. I...
Developing federated time-to-event scores using heterogeneous real-world survival data [0.03%]
利用异构真实世界生存数据开发联合时间事件评分
Siqi Li,Ziwen Wang,Yuqing Shang et al.
Siqi Li et al.
Objective: Survival analysis serves as a fundamental component in numerous healthcare applications, where the determination of the time to specific events (such as the onset of a certain disease or death) for patients is ...
Antioxidant efficacy of hydroxytyrosol, tyrosol, homovanillic alcohol, and their acetate derivatives in Parkinson's disease: A synergistic computational approach [0.03%]
基于帕金森病的抗氧化功效：羟基酪醇、酪醇、香草醇和它们的乙酸衍生物的协同计算方法研究
Rituraj Barman,Benzir Ahmed,Hemchandra Deka et al.
Rituraj Barman et al.
Phenolic plant metabolites, including hydroxytyrosol, tyrosol, homovanillic alcohol, and their acetate derivatives, have emerged as potent antioxidants and promising therapeutic candidates for neurodegenerative disorders. These compounds ex...
Dynamic topographies of intrinsic neural timescales: a key role for consciousness [0.03%]
固有时间尺度的动态拓扑结构：意识的关键作用
Andrea Buccellato,Di Zang,Yasir Çatal et al.
Andrea Buccellato et al.
The brain displays intrinsic durations in its own spontaneous activity - Intrinsic Neural Timescales (INTs). INTs are hierarchically organized, with shorter durations within unimodal regions and longer intervals in multimodal domains. Despi...
High-throughput nucleotide sequencing reveals new circulatory miRNA genes in cervical cancer patients [0.03%]
高通量核苷酸测序在宫颈癌患者中揭示新的循环miRNA基因
Hussein Hameed Abbas,Fenwick Antony Edwin Rodrigues,Deena Krishnan et al.
Hussein Hameed Abbas et al.
Background: Cervical cancer is one of the most common cancers in the world, and it is the second gynecological cancer in women after breast cancer. Recent evidence has shown miRNAs are dysregulated in cervical cancer, whi...
Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential [0.03%]
篡改全身MRI的风险与挑战：扩散模型的重新识别风险及对科研潜力的影响
Chenyu Gao,Kaiwen Xu,Michael E Kim et al.
Chenyu Gao et al.
Defacing is often applied to head magnetic resonance image (MRI) datasets prior to public release to address privacy concerns. The alteration of facial and nearby voxels has provoked discussions about the true capability of these techniques...
Enhancing the reliability of Alzheimer's disease prediction in MRI images [0.03%]
提高MRI图像中阿尔茨海默病预测的可靠性
Junaidul Islam,Elvin Nur Furqon,Isack Farady et al.
Junaidul Islam et al.
Alzheimer's Disease (AD) diagnostic procedures employing Magnetic Resonance Imaging (MRI) analysis encounter considerable obstacles pertaining to reliability and accuracy, especially when deep learning models are utilized within clinical en...
Early-stage Parkinson's disease detection using multimodal brain-body biomarkers from fNIRS and IMU data [0.03%]
基于fNIRS和IMU数据的多模态脑体生物标志物的帕金森病早期检测
Maryam Sousani,Raul Fernandez Rojas,Elisabeth Preston et al.
Maryam Sousani et al.
Parkinson's Disease (PD) is a progressive neurodegenerative disorder that impairs both motor and cognitive functions. Accurate detection of PD remains a major challenge, particularly at early stages when clinical symptoms are subtle. This s...
Markov chain-based computational model to assess user skills in sequential motor imagery tasks [0.03%]
一种基于马尔可夫链的计算模型用于评估用户在顺序运动想象任务中的技能水平
Cristian David Guerrero-Mendez,Hamilton Rivera-Flor,Denis Delisle-Rodriguez et al.
Cristian David Guerrero-Mendez et al.
Researchers face challenges in accurately measuring individual skills to generate discernible patterns during motor imagery (MI). Despite this, most studies focus on simple tasks, limiting knowledge of the effects on more complex sequential...
A novel methodology for calibration and experimental validation of cervical spine biomechanics models using ANFIS and genetic algorithm [0.03%]
基于ANFIS和遗传算法的颈椎生物力学模型校准与实验验证的新方法学研究
Ali Cherif Messellek,Khalil Chenaifi,Mohamed Medaouar et al.
Ali Cherif Messellek et al.
The cervical spine is an essential structure in human physiology but is vulnerable to diseases, such as lesions, disc herniation, and vertebral fractures. Finite element (FE) modeling represents a powerful approach for predicting the biomec...