Subhamoy Mandal

About

Subhamoy Mandal is currently an Assistant Professor at the School of Medical Science and Technology, IIT Kharagpur and an associated researcher at the Technical University of Munich.
He received his PhD from the Technical University of Munich (TUM), MS (by research) from the Indian Institute of Technology Kharagpur, and B.E. in Biomedical Engineering from Manipal University, Karnataka, India. He undertook his postdoctoral training as a Research Scientist in Molecular Imaging at the Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg. Later, he was a Clinical Application Engineer with Maxer Endoscopy ( Erbe Elecktromedizin Group) and supported the development of an Augmented Reality assisted navigation system for laparoscopic surgery together with researchers at TUM, and surgeons at the LMU University of Munich.
His areas of interest are Medical Signal & Image Processing, Medical Imaging and DSP/GPU based algorithm design. He is a recipient of the prestigious DAAD PhD Scholarships, UK Commonwealth Fellowship, IEEE Student Enterprise Award, IEEE CS Richard E. Merwin Scholarships, and IEEE ES Student Leadership Award.

Employment

• Indian Institute of Technology Kharagpur
  2022 - Present

Education

• Technische Universität München PhD
  2012 - 2017
• Indian Institute of Technology Kharagpur MS
  2008 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Phantom study on surgical performance in augmented reality laparoscopy
  International Journal of Computer Assisted Radiology and Surgery 2023 9 citations DOI: 10.1007/s11548-022-02809-7
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• AR visualizations in laparoscopy: surgeon preferences and depth assessment of vascular anatomy
  Minimally Invasive Therapy and Allied Technologies 2023 5 citations DOI: 10.1080/13645706.2023.2219739
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• Local Shape Preserving Deformations for Augmented Reality Assisted Laparoscopic Surgery
  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2022 4 citations DOI: 10.1109/EMBC48229.2022.9871029
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• Noise Adaptive Beamforming for Linear Array Photoacoustic Imaging
  IEEE Transactions on Instrumentation and Measurement 2021 2 citations DOI: 10.1109/TIM.2021.3103260
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• Brilliant cresyl blue enhanced optoacoustic imaging enables non-destructive imaging of mammalian ovarian follicles for artificial reproduction
  Journal of The Royal Society Interface 2020 4 citations DOI: 10.1098/rsif.2020.0776
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• Multiscale Signal Processing Methods for Improving Image Reconstruction and Visual Quality in LED-Based Photoacoustic Systems
  Progress in Optical Science and Photonics 2020 3 citations DOI: 10.1007/978-981-15-3984-8_6
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• Maximum Entropy Based Non-Negative Optoacoustic Tomographic Image Reconstruction
  IEEE Transactions on Biomedical Engineering 2019 39 citations DOI: 10.1109/TBME.2019.2892842
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• The Power of Light: Nobel Prize in Physics 2018
  IEEE Pulse 2019 1 citation DOI: 10.1109/MPULS.2019.2899703
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• Imaging Intelligence: AI Is Transforming Medical Imaging Across the Imaging Spectrum
  IEEE Pulse 2018 52 citations DOI: 10.1109/mpul.2018.2857226
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• Improving Optoacoustic Image Quality via Geometric Pixel Super-Resolution Approach
  IEEE Trans. Med. Imaging 2016 24 citations DOI: 10.1109/tmi.2015.2497159
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