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Research

Publications

Journals

  1. Mohsin Furkh Dar, Avatharam Ganivada, "EfficientU-Net: A Novel Deep Learning Method for Breast Tumor Segmentation and Classification  in Ultrasound Images", Neural Process Lett 55, 10439–10462 (2023)., IF:2.565, Indexed in SCIE, Scopus, DBLP, UGC-CARE List(India)

  2. Mohsin Furkh Dar, Avatharam Ganivada, "Deep learning and genetic algorithm-based ensemble model for feature selection and classification of breast ultrasound images", Image and Vision Computing, Vol. 146, 105018 (2024), IF:4.2, Indexed in SCIE, Scopus, DBLP, UGC-CARE List(India)

  3. Mohsin Furkh Dar, Sarvottam Dixit, "Performance Comparison of Face Detection and Recognition Algorithms", International Journal of Science and Research (IJSR), Volume 8 Issue 1, January 2019, pp. 986-994, https://www.ijsr.net/get_abstract.php?paper_id=ART20194439

  4. Sayima Mukhtar, Mohsin Furkh Dar & Amandeep Kaur, (2023). Latent Fingerprint Enhancement and Matching Using Intuitionistic Type-2 Fuzzy. Int. J. Artif. Intell. Soft Comput., 7(4), 313–328, https://doi.org/10.1504/ijaisc.2022.130558

  5. Ali Nadim Alhaj, Narottam Das Patel, Ajeet Singh, Rohit Kumar Bondugula, Mohsin Furkh Dar, and Jameel Ahamed, "Design and analysis of a robust security layer for software-defined network framework", International Journal of Sensor Networks 2024 46:1, 1-14

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Conferences

  1. Mohsin Furkh Dar, Avatharam Ganivada, "Dynamic Weight Adjusted Ensemble Loss for Enhanced Medical Image Segmentation", Paper accepted in ICCCNet-2024, Indexed in Scopus, Ei, WoS

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Papers  Under Review

  1. Mohsin Furkh Dar, Avatharam Ganivada, "Multi-Modal AttentionNet For Medical Image Classification with
    Dual Branch Feature Extraction and Saliency Maps    ", Under review in IEEE Transactions on Emerging Topics in Computational Intelligence

  2. Mohsin Furkh Dar, Avatharam Ganivada, "Fuzzy Rough Set Loss for Handling Boundary Uncertainty in Medical Image Segmentation", Under review in IEEE Transactions on Medical Imaging

  3. Mohsin Furkh Dar, Avatharam Ganivada, "Adaptive Ensemble Loss and Multi-Scale Attention in Breast Ultrasound Segmentation with UMA-Net", Under review in Medical & Biological Engineering & Computing

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