Mahesh Inamdar

Employment

• Manipal Academy of Higher Education

Education

• Manipal Academy of Higher Education Master in Industrial Automation and Robotics
  2016 - 2018
• Savitribai Phule Pune University Bachelor in Engineering
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for ischemic stroke detection in CT images
  Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra

  +6 more

  • Aryaman Kaprekar
  • Massimo Salvi
  • Silvia Seoni
  • Girish Ramachandra Menon
  • Filippo Molinari
  • +1 more
  Scientific Reports 2026 DOI: 10.1038/s41598-026-37169-8
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• Tensor‐Based Weber Feature Representation of Brain <scp>CT</scp> Images for the Automated Classification of Ischemic Stroke
  Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra

  +6 more

  • Raja Rizal Azman
  • Nadia Fareeda Muhammad Gowdh
  • Izzah Amirah Binti Mohd Ahir
  • Mohd Salahuddin Bin Kamaruddin
  • Ajay Hegde
  • +1 more
  International Journal of Imaging Systems and Technology 2025 DOI: 10.1002/ima.70200
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• Dual attention mechanisms with patch-level significance embedding for ischemic stroke classification in brain CT images
  Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra

  +6 more

  • Massimo Salvi
  • Nithin Raj
  • J. Pooja
  • Ajay Hegde
  • Girish R. Menon
  • +1 more
  Informatics in Medicine Unlocked 2025 DOI: 10.1016/j.imu.2025.101678
  +Save
• A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification
  Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra

  +10 more

  • Massimo Salvi
  • Raja Rizal Azman bin Raja Aman
  • Nadia Fareeda Muhammad Gowdh
  • Izzah Amirah Binti Mohd Ahir
  • Mohd Salahuddin Bin Kamaruddin
  • +5 more
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3550344
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• Simplistic refinement of self-supervised feature representations for classification of Brain strokes using contrastive learning on CT Images
  Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra

  +4 more

  • Raja Rizal Azman bin Raja Aman
  • Nadia Fareeda Muhammad Gowdh
  • Izzah Amirah Binti Mohd Ahir
  • Ajay Hegde
  2024 Control Instrumentation System Conference (CISCON) 2024 DOI: 10.1109/ciscon62171.2024.10696552
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• Automatic identification of hypertension and assessment of its secondary effects using artificial intelligence: A systematic review (2013–2023)
  Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra

  +10 more

  • Jyothi Samanth
  • M. Maithri
  • Mahesh Anil Inamdar
  • Mukund Aravind Prabhu
  • Ajay Hegde
  • +5 more
  Computers in Biology and Medicine 2024 DOI: 10.1016/j.compbiomed.2024.108207
  +Save
• Directional-Guided Motion Sensitive Descriptor for Automated Detection of Hypertension Using Ultrasound Images
  Anjan Gudigar, Nahrizul Adib Kadri, U. Raghavendra +4 more
  IEEE Access 2024 DOI: 10.1109/access.2023.3349090
  +Save
• Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review
  Anjan Gudigar, U. Raghavendra, M. Maithri +9 more
  IEEE Access 2024 DOI: 10.1109/access.2024.3465511
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• A Novel Attention-Based Model for Semantic Segmentation of Prostate Glands Using Histopathological Images
  Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar

  +7 more

  • Sarvesh Bhandary
  • Massimo Salvi
  • Ravinesh Chand Deo
  • Prabal Datta Barua
  • Edward J. Ciaccio
  • +2 more
  IEEE Access 2023 DOI: 10.1109/access.2023.3321273
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• Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
  U. Raghavendra, Anjan Gudigar, Aritra Paul +10 more
  Computers in Biology and Medicine 2023 DOI: 10.1016/j.compbiomed.2023.107063
  +Save
• A Review on Computer Aided Diagnosis of Acute Brain Stroke
  Mahesh Anil Inamdar, U. Raghavendra, Anjan Gudigar +9 more
  Sensors 2021 DOI: 10.3390/s21248507
  +Save