Jeny Rajan

About

Jeny Rajan received his PhD from the University of Antwerp (Vision Lab) Belgium in 2012. Currently he is working as an Associate Professor at the Dept. of Computer Science and Engineering at the National Institute of Technology Karnataka (NITK), Surathkal (Mangalore), India. His area of interests are medical image computing and image processing.

Employment

• National Institute of Technology Karnataka Asst. Professor
  2013 - Present
• University of Antwerp Post doctoral researcher
  2012 - 2013

Education

• University of Antwerp PhD
  2009 - 2012
• University of Kerala M.Tech.
  2003 - 2005

Projects & Funding

Projects & funding information is unavailable.

Publications (76)

• Automated Segmentation of Head and Neck Cancer from CT Images Using 3D Convolutional Neural Networks
  2026 DOI: 10.64898/2026.03.12.26347996
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• A dual encoder–decoder multi-task 3D deep learning framework for the segmentation of focal cortical dysplasia lesions
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2025.108764
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• Comparison of artificial intelligence methods with manual measurements for mandibular bucco-lingual bone width assessment using cone-beam computed tomography images
  Oral Radiology 2026 DOI: 10.1007/s11282-026-00916-8
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• An automated deep learning pipeline for detecting user errors in spirometry test
  Biomedical Signal Processing and Control 2024 DOI: 10.1016/j.bspc.2023.105845
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• A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation
  IEEE Transactions on Artificial Intelligence 2024 DOI: 10.1109/TAI.2023.3272533
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• A Deep Ensemble Learning-Based CNN Architecture for Multiclass Retinal Fluid Segmentation in OCT Images
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3244922
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• Deep learning‐based automated mitosis detection in histopathology images for breast cancer grading
  International Journal of Imaging Systems and Technology 2022 DOI: 10.1002/ima.22703
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• Crossover based technique for data augmentation
  Computer Methods and Programs in Biomedicine 2022 DOI: 10.1016/j.cmpb.2022.106716
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• A cascaded convolutional neural network architecture for despeckling OCT images
  Biomedical Signal Processing and Control 2021 DOI: 10.1016/j.bspc.2021.102463
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• Computational methods for automated mitosis detection in histopathology images: A review
  Biocybernetics and Biomedical Engineering 2021 DOI: 10.1016/j.bbe.2020.11.005
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