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

MM-GradCAM: an improved multimodal GradCAM method with 1D and 2D ECG data for detection of cardiac arrhythmia

MM-GradCAM：一种改进的多模态GradCAM方法，利用一维和二维心电图数据检测心律失常

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-026-38654-w
Murat Duranay, Fatma; Murat, Ender; Yıldırım, Özal; Demir, Yakup; Tan, Ru-San; Sampathila, Niranjana; Acharya, U Rajendra
多发性骨髓瘤
发表日期：2026
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Sickle cell disease detection in low-resource conditions using transfer-learning and contrastive-learning coupled with XAI

利用迁移学习和对比学习结合可解释人工智能，在资源匮乏条件下检测镰状细胞病

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-026-35831-9
Patel, Jay; Muralikrishna, H; Chadaga, Krishnaraj; Thalengala, Ananthakrishna; Sampathila, Niranjana
细胞生物学
发表日期：2026
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Diagnostic Accuracy of Artificial Intelligence Models for Differentiation of Squamous Cell Carcinoma and Adenocarcinoma of Lung-A Systematic Review

人工智能模型在鉴别肺鳞状细胞癌和腺癌中的诊断准确性——系统评价

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics16030500
Nayak, Kaushik; Kadavigere, Rajagopal; Pendem, Saikiran; Mane, Pallavi R; Sampathila, Niranjana; Pattath Sankaran, Priya; Siddeshappa, Nandish
细胞生物学
肿瘤
肿瘤免疫
发表日期：2026
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AlzStack: Forecasting early-onset Alzheimer's with an explainable AI system using multiple data balancing techniques

AlzStack：利用多种数据平衡技术，通过可解释的人工智能系统预测早发性阿尔茨海默病

期刊:Global Epidemiology
影响因子:
doi:10.1016/j.gloepi.2025.100235
Modali, Venkata Aditi; Pavanya, Manohar; Arjunan, R Vijaya; Cenitta, D; Sampathila, Niranjana; Kamath, Radhika; Chadaga, Krishnaraj
阿尔茨海默症
发表日期：2026
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A new quantum-inspired pattern based on Goldner-Harary graph for automated alzheimer's disease detection

一种基于Goldner-Harary图的新型量子启发式模式，用于自动检测阿尔茨海默病

期刊:Cognitive Neurodynamics
影响因子:3.9
doi:10.1007/s11571-025-10249-7
Sercek, Ilknur; Sampathila, Niranjana; Tasci, Irem; Ekmekyapar, Tuba; Tasci, Burak; Barua, Prabal Datta; Baygin, Mehmet; Dogan, Sengul; Tuncer, Turker; Tan, Ru-San; Acharya, U R
阿尔茨海默症
发表日期：2025
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Author Correction: An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients

作者更正：一种用于儿科患者阑尾炎检测的可解释且透明的机器学习框架

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-86494-x
Chadaga, Krishnaraj; Khanna, Varada; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Swathi, K S; Kamath, Radhika
阑尾炎
发表日期：2025
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Detection of breast cancer using machine learning and explainable artificial intelligence

利用机器学习和可解释人工智能检测乳腺癌

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-12644-w
Arravalli, Tharunya; Chadaga, Krishnaraj; Muralikrishna, H; Sampathila, Niranjana; Cenitta, D; Chadaga, Rajagopala; Swathi, K S
肿瘤
肿瘤免疫
乳腺癌
发表日期：2025
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Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes

利用机器学习和可解释人工智能结合血液属性对缺铁性贫血和再生障碍性贫血进行鉴别诊断

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-84120-w
Darshan, B S Dhruva; Sampathila, Niranjana; Bairy, G Muralidhar; Prabhu, Srikanth; Belurkar, Sushma; Chadaga, Krishnaraj; Nandish, S
贫血
代谢
发表日期：2025
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An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients

一种用于儿科患者阑尾炎检测的可解释且透明的机器学习框架

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-75896-y
Chadaga, Krishnaraj; Khanna, Varada; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Swathi, K S; Kamath, Radhika
阑尾炎
发表日期：2024
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Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review

基于磁共振成像组学的机器学习方法在脑肿瘤分类中的质量评价：系统综述

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics14232741
Nayak, Shailesh S; Pendem, Saikiran; Menon, Girish R; Sampathila, Niranjana; Koteshwar, Prakashini
肿瘤
肿瘤免疫
神经科学
发表日期：2024
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