Suri, Jasjit S.

Heart rate variability: A review

Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing

Heart Rate Variability and Autonomic ControlECG Monitoring and Analysis

Cited by 2,820

The present and future of deep learning in radiology

Saba, L., Biswas, M., Kuppili, V., Cuadrado Godia, E., Suri, H. S., Edla, D. R., Omerzu, T., Laird, J. R., Khanna, N. N., Mavrogeni, S., et al. (2019) · European Journal of Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 353

Economics of artificial intelligence in healthcare: Diagnosis vs. treatment

Khanna, N. N., Maindarkar, M. A., Viswanathan, V., Fernandes, J. F. E., Paul, S., Bhagawati, M., Ahluwalia, P., Ruzsa, Z., Sharma, A., Kolluri, R., et al. (2022) · Healthcare

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 347

Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform

Giri, D., Rajendra Acharya, U., Martis, R. J., Vinitha Sree, S., Lim, T.-C., Ahamed, T., & Suri, J. S. (2013) · Knowledge-Based Systems

ECG Monitoring and AnalysisArtificial Intelligence in Healthcare

Cited by 221

Artificial intelligence bias in medical system designs: a systematic review

Kumar, A., Aelgani, V., Vohra, R., Gupta, S. K., Bhagawati, M., Paul, S., Saba, L., Suri, N., Khanna, N. N., Laird, J. R., et al. (2023) · Multimedia Tools and Applications

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 65

A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review

Suri, J. S., Bhagawati, M., Paul, S., Protogerou, A. D., Sfikakis, P. P., Kitas, G. D., Khanna, N. N., Ruzsa, Z., Sharma, A. M., Saxena, S., et al. (2022) · Diagnostics

Artificial Intelligence in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 55

Five Strategies for Bias Estimation in Artificial Intelligence-based Hybrid Deep Learning for Acute Respiratory Distress Syndrome COVID-19 Lung Infected Patients using AP(ai)Bias 2.0: A Systematic Review

Suri, J. S., Agarwal, S., Jena, B., Saxena, S., El-Baz, A., Agarwal, V., Kalra, M. K., Saba, L., Viskovic, K., Fatemi, M., et al. (2024) · IEEE Transactions on Instrumentation and Measurement

COVID-19 diagnosis using AIMeta-analysis and systematic reviews

Cited by 38