Dr. Debabrata Ghosh

Assistant Professor

Specialization

Object Recognition, Computer Vision, Biomedical Image Processing

Email

debabrata.ghosh@thapar.edu

Specialization

Object Recognition, Computer Vision, Biomedical Image Processing

Email

debabrata.ghosh@thapar.edu

Contact No

+91-8918044937

Assistant Professor

debabrata.ghosh@thapar.edu, debabrata44@gmail.com

Biography

Dr. Debabrata Ghosh is working with ECE Department, Thapar Institute of Engineering and Technology, Patiala since 2018. He has completed his PhD degree in Computer Vision techniques from University of North Dakota, USA in December 2015. He has more than two years post-doctoral experience in Biomedical Imaging from UTSW Medical Center, USA. His research interests include Medical Image Processing, Computer Vision, Object Recognition Techniques.

Education

  • Ph.D. (University of North Dakota, USA) in Electrical Engineering specialization in Imaging
  • M. Sc in Satellite Communication & Space Systems, University of Sussex, UK, Distinction
  • B.E. in Electronics & Instrumentation Engineering, Vidyasagar University, CGPA 8.25

Experience: Total Teaching Experience 7+ years.

  • June 2018 - Present: Assistant Professor, ECE Department, Thapar Institute of Engineering & Technology, Patiala
  • August 2010 - August 2012: Graduate Teaching Assistant, Electrical Engineering Department, University of North Dakota, USA.

Teaching Interests:

  • Digital Image Processing
  • Medical Image Processing
  • Embedded Digital Systems
  • Satellite Communication
  • Computer Architecture
  • Technical Issues in Space
  • Remote Sensing & Applications
  • Robotics
  • Space System Engineering

Research Interest:

  • Signal and Image Processing
  • Biomedical Imaging
  • Machine Learning
  • Satellite Image Processing
  • Computer Vision
  • Object Recognition

Publications:

Journals

  1. Ghosh, D., Chowdhury, K., and Muhuri, S. (2022), “Finding correlation between diabetic retinopathy and diabetes during pregnancy based on computer-aided diagnosis: A review” IEEE Reviews in Biomedical Engineering, In press
  2. Bisht, S., Bhardwaj, R., Jha, C., Ghosh., D., and Sekhar., H. (2021), “Pulsing and detection strategies for contrast-enhanced ultrasound: A review.” Ultrasound in Medicine & Biology, In press
  3. Brown, K., Ghosh, D., and Hoyt, K. (2020), “Deep learning of spatiotemporal filtering for fast super-resolution ultrasound imaging,” IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, DOI: 10.1109/TUFFC.2020.2988164.
  4. Ozdemir, I., Peng, J., Ghosh, D., Sirsi, S., Mineo, C., Shaul, P., and Hoyt., K. (2020), “Multiscale and morphological analysis of microvascular patterns depicted in contrast-enhanced ultrasound images,” Journal of Medical Imaging, doi.org/10.1117/1.JMI.7.3.034001
  5. Ghosh, D., Peng, J., Sirsi, S., Mineo, C., Shaul, P., and Hoyt., K. (2019), “Super-resolution ultrasound imaging of skeletal muscle dysfunction in an animal model of type 2 diabetes,” Journal of Ultrasound in Medicine, doi.org/10.1002/jum.14956.
  6. Tanigaki, K., Sacharidou, A., Peng, J., Chambliss, K., Yuhanna, I., and Ghosh, D. (2017), “Hyposialylated IgG activates endothelial IgG receptor FcγRIIB to promote obesityinduced insulin resistance,” Journal of Clinical Investigation, doi: 10.1172/JCI89333
  7. Ghosh, D., Xiong, F., Sirsi, S., Shaul, P., Mattrey, R., and Hoyt., K. (2017), “Towards optimization of in vivo super-resolution ultrasound imaging using size-selected microbubble contrast agents,” Medical Physics, doi:10.1002/mp.12606
  8. Ghosh, D., Naima, K., and Hu, W. (2016), “A Robust Iterative Super-Resolution Mosaicking Algorithm Using an Adaptive and Directional Huber-Markov Regularization,” Journal of Visual Communication and Image Representation, vol. 40, pp. 98-110, Oct, 2016
  9. Ghosh, D., Naima, K. (2015), “A Survey on Image Mosaicing Techniques,” Journal of Visual Communication and Image Representation, vol. 34, pp. 1-11, Jan, 2016
  10. Ghosh, D., Naima, K., and Fevig, R., “Robust Spatial-Domain Based Super-Resolution Mosaicing of CubeSat Video Frames: Algorithm and Evaluation,” Computer and Information Science, vol. 7, no. 2, pp. 68-81, Apr, 2014
  11. Ghosh, D., and Naima, K., “A Survey on Remote Sensing Scene Classification Algorithms,” WSEAS Transactions on Signal Processing, vol. 10, pp. 504-519, Jan, 2014
  12. Ghosh, D., Park, S., Kaabouch, N., and Semke, W., "Super-Resolution Mosaicing of Unmanned Aircraft System (UAS) Surveillance Video Frames," International Journal of Scientific & Engineering Research, vol. 4, no. 2, Feb, 2013

International Conferences

  1. Ghosh, D., Peng, J., Sirsi, S., Mattrey, R., Shaul, P., and Hoyt., K., “Super-resolution ultrasound imaging of the microvasculature in skeletal muscle: A new tool in diabetes research,” in IEEE International Ultrasound Symposium, Washington, D.C., 2017
  2. Ghosh, D., Xiong, F., Mattrey, R., Sirsi, S., and Hoyt., K., “Monitoring early tumor response to vascular targeted therapy using super-resolution ultrasound imaging,” in IEEE International Ultrasound Symposium, Washington, D.C., 2017
  3. Ghosh, D., “Super-Resolution Ultrasound Imaging Using Size-Selected Microbubbles: Preliminary Results Using Tissue-Mimicking Flow Phantoms,” presented at the American Institute of Ultrasound in Medicine (AIUM) Annual Convention, Orlando, FL, 2017
  4. Ghosh, D., “Motion Correction Strategies for Improving the Quantitative Value of Dynamic Contrast-Enhanced Ultrasound Imaging,” presented at the American Institute of Ultrasound in Medicine (AIUM) Annual Convention, Orlando, FL, 2017
  5. Ghosh, D., “Improved Crawling Wave Elasticity Measurements Using Ultrafast Plane Wave Imaging and Directional Filtering,” presented at the American Institute of Ultrasound in Medicine (AIUM) Annual Convention, Orlando, FL, 2017
  6. Wren, P., Fevig, R., Kaabouch, N., Nelson, M., Bourbour, F., Snarr, J., Ghosh, D., and Church, C., “R2S: A Technology Demonstrator for NEO Reconnaissance Mission,” in AstroRecon: Conference on Spacecraft Reconnaissance of Asteroid and Comet Interiors, Tempe, AZ, 2015
  7. Ghosh, D., “A Robust, Spatial Domain Based Super-Resolution Mosaicing Algorithm for Unmanned Aircraft System Surveillance Applications,” presented at the ND EPSCoR State Conference, Fargo, ND, 2014
  8. Park, S., Ghosh, D., Kaabouch, N., Fevig, R., and Semke, W., “Hierarchical multi-level image mosaicing for autonomous navigation of UAV,” in SPIE, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, San Francisco, CA, 2013
  9. Ghosh, D., Park, S., Kaabouch, N., and Semke, W., “Quantitative evaluation of image mosaicing in multiple scene categories,” in IEEE International Conference on Electro/Information Technology, Indianapolis, IN, 2012

Achievement, Awards and Recognitions

  • Conference Travel Award – University of North Dakota, USA 2010
  • New Investigator Award Finalist, American Institute of Ultrasound in Medicine (AIUM)
Download Brochure