Deepanshu Sharma

About

I am focused on medical computer vision, particularly in neuroimaging. My experience includes working with various imaging modalities such as MRI, diffusion MRI, fMRI, CT, mammography, and ultrasound. I have developed AI algorithms for the automated detection of lesions and tumors, leveraging my expertise in Python programming and advanced medical image processing techniques. I am eager to contribute to innovative research that enhances understanding and treatment planning in neuroimaging.

Employment

• Plaksha University Plaksha Research Fellow
  2024 - Present
• PGIMER Project Associate
  2023 - 2024
• Thapar Institute of Engineering and Technology Junior Research Fellow
  2022 - 2023

Education

• Panjab University MSc Mathematics
  2018 - 2020
• Panjab University BSc Mathematics, Computer Science, Physics
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (3)

• Efficient‐Residual Net—A Hybrid Neural Network for Automated Brain Tumor Detection
  International Journal of Imaging Systems and Technology 2024 DOI: 10.1002/ima.23170
  +Save
• Multiscale segmentation net for segregating heterogeneous brain tumors: Gliomas on multimodal MR images
  Image and Vision Computing 2024 DOI: 10.1016/j.imavis.2024.105191
  +Save
• Comparative Analysis of Different Deep Convolutional Neural Network Architectures for Classification of Brain Tumor on Magnetic Resonance Images
  Archives of Computational Methods in Engineering 2024 DOI: 10.1007/s11831-023-10041-y
  +Save