日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A scalable and reliable deep learning framework for enhanced brain tumor detection and diagnosis using AI-based medical imaging

一种可扩展且可靠的深度学习框架,用于利用基于人工智能的医学影像技术增强脑肿瘤的检测和诊断。

Ahmad, Sultan; Eali, Stephen Neal Joshua; Nakka, Thirupathi Rao; Chihaoui, Naceur; Alsubait, Tahani; Khanam, Humaira

A multi stage deep learning model for accurate segmentation and classification of breast lesions in mammography

一种用于乳腺X线摄影中乳腺病变精确分割和分类的多阶段深度学习模型

Ahmad, Sultan; Neal Joshua, Eali Stephen; Rao, Nakka Thirupathi; Ghoniem, Rania M; Taye, Belayneh Matebie; Bharany, Salil

Inverse Association of Locus Coeruleus MRI Integrity With Structural Volume and Its Impact on Individual's Inattentiveness

蓝斑核MRI完整性与结构体积呈负相关及其对个体注意力不集中的影响

Neal, Joshua; Kim, Sun Hyung; Katz, Benjamin; Kim, Il Hwan; Lee, Tae-Ho

Automated Locus Coeruleus segmentation and age-related signal changes across Neuromelanin-sensitive MRI and T1/T2-weighted images

自动蓝斑分割及神经黑色素敏感MRI和T1/T2加权图像中与年龄相关的信号变化

Kim, Sun Hyung; Sytner, Martin Andreas; Neal, Joshua; Chen, Ya-Yun; Katz, Benjamin; Lee, Tae-Ho

Hybrid healthcare unit recommendation system using computational techniques with lung cancer segmentation

利用计算技术和肺癌分割的混合医疗保健单元推荐系统

Albalawi, Eid; Neal Joshua, Eali Stephen; Joys, N M; Bhatia Khan, Surbhi; Shaiba, Hadil; Ahmad, Sultan; Nazeer, Jabeen

A collection of 157 individual neuromelanin-sensitive images accompanied by non-linear neuromelanin-sensitive atlas and a probabilistic locus coeruleus atlas

包含157张独立的神经黑色素敏感图像,并附有非线性神经黑色素敏感图谱和概率性蓝斑图谱。

Lee, Tae-Ho; Kim, Sun Hyung; Neal, Joshua; Katz, Benjamin; Kim, Il Hwan

3D CNN with Visual Insights for Early Detection of Lung Cancer Using Gradient-Weighted Class Activation

基于梯度加权类别激活的3D CNN结合视觉洞察用于肺癌早期检测

Neal Joshua, Eali Stephen; Bhattacharyya, Debnath; Chakkravarthy, Midhun; Byun, Yung-Cheol