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Niranjana Sampathila

manipal academy of higher education (mahe)

23H指数
106论文数
1.6K被引数
收录论文 35
发表时间
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Significance of essential vital signs for analysis of risk level of critical care patients - a review关键生命体征对危重患者风险水平分析的重要性 - 一篇综述
errJournal of Intelligent Systems
IF2
err2026-01-23
err0
errOAAI
errPrabhu, Savithri; Bairy, G. Muralidhar; Sampathila, Niranjana
err分享
err收藏
A machine learning framework to predict the severity and management of pediatric appendicitis using clinical markers and five explainable techniques一种基于临床标志物和五种可解释技术的机器学习框架，用于预测儿童阑尾炎的严重程度和管理方案。
errTelematics and Informatics Reports
IF4.7
err2025-12-01
err0
errOAAI
errManohar, Pavanya; Palkar, Anisha; Sampathila, Niranjana; Bhandage, Venkatesh; Chadaga, Krishnaraj
err分享
err收藏
A new quantum-inspired pattern based on Goldner-Harary graph for automated alzheimer's disease detection一种基于Goldner-Harary图的量子启发式新模式，用于自动化阿尔茨海默病检测
errCOGNITIVE NEURODYNAMICS
IF3.9
err2025-05-10
err0
errOAAI
errSercek, Ilknur; Sampathila, Niranjana; Tasci, Irem; Ekmekyapar, Tuba; Tasci, Burak; Barua, Prabal Datta; Baygin, Mehmet; Dogan, Sengul; Tuncer, Turker; Tan, Ru-San; Acharya, U. R.
err分享
err收藏
An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients (vol 14, 24454, 2024)
errSCIENTIFIC REPORTS
IF3.9
err2025-01-22
err0
errOAAI
errChadaga, Krishnaraj; Khanna, Varada; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Swathi, K. S.; Kamath, Radhika
err分享
err收藏
Differential diagnosis of iron deficiency anemia from aplastic anemia using machine learning and explainable Artificial Intelligence utilizing blood attributes使用机器学习和可解释的人工智能利用血液属性从再生障碍性贫血中鉴别诊断疾病缺铁性贫血
errSCIENTIFIC REPORTS
IF3.9
err2025-01-02
err0
errOAAI
errDarshan, B. S. Dhruva; Sampathila, Niranjana; Bairy, G. Muralidhar; Prabhu, Srikanth; Belurkar, Sushma; Chadaga, Krishnaraj; Nandish, S.
err分享
err收藏
Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System基于内容的大脑磁共振图像检索与分类：采用提出的深度学习及组织基系统
errIEEE Access
IF3.6
err2025-01-01
err0
errOAAI
errBedriye Dogan; Hursit Burak Mutlu; Muhammed Yildirim; Sercan Yalcin; Serpil Aslan; Niranjana Sampathila; Ozal Yildirim; Edward J. Ciaccio; Ru-San Tan; U. Rajendra Acharya
err分享
err收藏
Quality Assessment of MRI-Radiomics-Based Machine Learning Methods in Classification of Brain Tumors: Systematic Review基于MRI影像组学的机器学习方法在脑肿瘤分类中的质量评估: 系统综述
errDIAGNOSTICS
IF3.3
err2024-12-05
err0
errOAAI
errNayak, Shailesh S.; Pendem, Saikiran; Menon, Girish R.; Sampathila, Niranjana; Koteshwar, Prakashini
err分享
err收藏
Explainable machine learning methods to predict postpartum depression risk
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-11-13
err0
errOAAI
errShivaprasad, Susmita; Chadaga, Krishnaraj; Sampathila, Niranjana; Prabhu, Srikanth; Chadaga, P. Rajagopala; Swathi, K. S.
err分享
err收藏
An ensemble machine learning framework with explainable artificial intelligence for predicting haemoglobin anaemia considering haematological markers具有可解释的人工智能的集成机器学习框架，用于预测考虑到血液学标志物的血红蛋白贫血
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-10-29
err0
errOAAI
errDhruva Darshan, B. S.; Sharma, Punit; Chadaga, Krishnaraj; Sampathila, Niranjana; Bairy, G. Muralidhar; Belurkar, Sushma; Prabhu, Srikanth; Swathi, K. S.
err分享
err收藏
An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients
errSCIENTIFIC REPORTS
IF3.9
err2024-10-18
err3
errOAAI
errChadaga, Krishnaraj; Khanna, Varada; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Swathi, K. S.; Kamath, Radhika
err分享
err收藏
An interpretable schizophrenia diagnosis framework using machine learning and explainable artificial intelligence使用机器学习和可解释的人工智能的可解释的精神分裂症诊断框架
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-06-27
err1
errOAAI
errShivaprasad, Samhita; Chadaga, Krishnaraj; Dias, Cifha Crecil; Sampathila, Niranjana; Prabhu, Srikanth
err分享
err收藏
Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence利用机器学习和可解释的人工智能从血液学标志物预测急性心肌梗死
errSYSTEMS SCIENCE & CONTROL ENGINEERING
IF4.4
err2024-03-26
err2
errOAAI
errBhat, Tejas Kadengodlu; Chadaga, Krishnaraj; Sampathila, Niranjana; Swathi, K. S.; Chadaga, Rajagopala; Umakanth, Shashikiran; Prabhu, Srikanth
err分享
err收藏
Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
errSCIENTIFIC REPORTS
IF3.9
err2024-01-20
err21
errOAAI
errChadaga, Krishnaraj; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran; Bhat, Devadas; Kumar, G. S. Shashi
err分享
err收藏
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy
errINTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
IF2.5
err2024-01-08
err2
errOAAI
errDsilva, Liora Rosvin; Tantri, Shivani Harish; Sampathila, Niranjana; Mayrose, Hilda; Bairy, G. Muralidhar; Belurkar, Sushma; Saravu, Kavitha; Chadaga, Krishnaraj; Hafeez-Baig, Abdul
err分享
err收藏
Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach (vol 12, pg 116968, 2024)通过深度学习和可解释的AI推进卵巢癌诊断: 多分类方法 (第12卷，116968页，2024)
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errRadhakrishnan, Meera; Sampathila, Niranjana; Muralikrishna, H.; Swathi, K. S.
err分享
err收藏
An Explainable Decision Support Framework for Differential Diagnosis Between Mild COVID-19 and Other Similar Influenzas轻度新型冠状病毒肺炎与其他类似流感之间鉴别诊断疾病的可解释决策支持框架
errIEEE ACCESS
IF3.6
err2024-01-01
err2
errOAAI
errChadaga, Krishnaraj; Prabhu, Srikanth; Sampathila, Niranjana; Chadaga, Rajagopala; Umakanth, Shashikiran
err分享
err收藏
Classification of Surya Namaskar Yoga Asanas: A Sequential Combination of Predominant Poses for Physical and Mental Health
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errBhandage, Venkatesh; Prabhu, Srikanth; Hadimani, Balachandra S.; Chadaga, Krishnaraj; Sampathila, Niranjana; Shetty, Sucharitha
err分享
err收藏
An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning
errIEEE ACCESS
IF3.6
err2024-01-01
err3
errOAAI
errMayrose, Hilda; Sampathila, Niranjana; Bairy, G. Muralidhar; Nayak, Tushar; Belurkar, Sushma; Saravu, Kavitha
err分享
err收藏
Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases使用可解释的机器学习方法预测儿科呼吸系统疾病的生存率
errIEEE ACCESS
IF3.6
err2024-01-01
err1
errOAAI
errKumar, Roshan; Srirama, V; Chadaga, Krishnaraj; Muralikrishna, H.; Sampathila, Niranjana; Prabhu, Srikanth; Chadaga, Rajagopala
err分享
err收藏
An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning (vol 12, pg 41750, 2024)
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errMayrose, Hilda; Sampathila, Niranjana; Muralidhar Bairy, G.; Nayak, Tushar; Belurkar, Sushma; Saravu, Kavitha
err分享
err收藏

研究方向

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合作学者
合作期刊
U
U. Rajendra Acharya
H 指数: 146 · 论文数: 1.1K
R
Ru‐San Tan
H 指数: 73 · 论文数: 664
C
Chinmay Chakraborty
H 指数: 51 · 论文数: 316
E
Edward J. Ciaccio
H 指数: 48 · 论文数: 276
O
Oliver Faust
H 指数: 46 · 论文数: 149
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