ABHISHEK SHRIVASTAVA

About

I Abhishek Shrivastava, dedicated to revolutionizing myocardial infarction detection via echocardiography(Cardiac Image), harnesses cutting-edge deep learning methodologies. With a profound grasp of medical imaging and machine learning, my pursuit is the creation of precise algorithms ensuring early diagnosis. Engaging closely with medical practitioners, my collaborative research propels the frontier of cardiovascular care. My contributions and dynamic presentations underscore my commitment to advancing the field, elevating the caliber of research showcased in my ORCID record.

Employment

• National Institute of Technology Raipur Temporary Faculty
  2017 - 2023

Education

• National Institute of Technology Raipur M. Tech.
  2008 - 2010
• National Institute of Technology Raipur B. E.
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• MyoCI: Computational Intelligence for Early Detection of Myocardial Infarction Using Text Analysis Through Clinical Data
  2026 DOI: 10.1007/978-3-031-93709-5_20
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• Advanced Framework for Early Congestive Heart Failure Detection Using Electrocardiogram Data and Ensemble Learning Models
  2025 DOI: 10.1007/978-3-031-78195-7_25
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• MI-System: Early Diagnosis of Myocardial Infarction Using Industrial Cyber-Physical System
  2024 DOI: 10.36227/techrxiv.173153463.39197847/v1
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• Quantum leap in cardiac prognosis: EMIP-cardioPPG’s pioneering approach to early myocardial infarction prediction
  Signal, Image and Video Processing 2024 DOI: 10.1007/s11760-024-03503-8
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• Machine Learning Algorithms for Detecting Mental Stress in College Students
  2024 IEEE 9th International Conference for Convergence in Technology (I2CT) 2024 DOI: 10.1109/i2ct61223.2024.10544243
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• Exploring the Feasibility of PPG for Estimation of Heart Rate Variability: A Mathematical Approach
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-58535-7_19
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• UDR Fused Multimodal Approach for Disease Classification in Large Scale Dataset with Advanced CNNs
  2024 DOI: 10.1007/978-3-031-66410-6_25
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• Optimizing Knowledge Transfer in Sequential Models: Leveraging Residual Connections in Flow Transfer Learning for Lung Cancer Classification
  2023 DOI: 10.1145/3627631.3627663
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• A Novel Hybrid Model for Predictive Analysis of Myocardial Infarction using Advanced Machine Learning Techniques
  2023 OITS International Conference on Information Technology (OCIT) 2023 DOI: 10.1109/ocit59427.2023.10430780
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