Biomedical Imaging

Dr. Ankur Gogoi is an assistant professor in the Department of Physics at Jagannath Barooah University (formerly Jagannath Barooah College), Assam, India. He completed his Ph.D. in 2012 from Tezpur University, Assam, India, and worked as a postdoctoral research associate at the Institute of Biophotonics, National Yang Ming Chiao Tung University, Taiwan from 2016 to 2018. Dr. Gogoi has also held the position of assistant professor of Physics at The Assam Kaziranga University, Jorhat, India and Girijananda Chowdhury Institute of Management and Technology—Tezpur, Assam, India. His research interests are in optoelectronic instrumentation, linear and nonlinear optical microscopy, photonics, and nanotechnology. Dr. Nirmal Mazumder is an associate professor at the Department of Biophysics, Manipal School of Life Sciences, Manipal Academy of Higher Education (MAHE), Manipal, India. He obtained his Ph.D. in 2013 from National Yang Ming Chiao Tung University, Taipei, Taiwan. From 2013 to 2016, he worked as a postdoctoral fellow at the University of Virginia, the USA, and the Italian Institute of Technology, Genoa, Italy. He has been developing nonlinear optical microscopes, including two photon fluorescence, second harmonic generation, and coherent anti-Stokes Raman scattering for biomedical applications. He works extensively on the biophysical aspects of starch, including various spectroscopy and microscopy techniques.

• Artificial intelligence (AI) in diagnostic medical image processing: Recent advances and challenges.- Introduction to machine learning.- Artificial intelligence in Raman spectroscopy and microscopy.- Machine learning based analysis in Biomedical applications.- Applications of support vector machine in polarization sensitive fluorescence spectroscopy in biophotonics research.- Tissue optical clearing and machine learning based analysis.- Machine learning based photoacoustic image analysis for cancer diagnosis.- Diffuse optical imaging and spectroscopy as a non-invasive diagnostic tool.- Machine learning in nonlinear optical microscopy.- Deep learning in quantitative phase imaging.- Deep learning in super resolution microcopy.- Machine learning based analysis in Stokes Mueller Polarization light applications.- Polarization resolved second harmonic generation for tissue imaging.- Light microscopy in endoscopy.- Deep learning-based algorithm applied to multiphoton microscopy.- Cross polarization optical coherence tomography applications in brain research.- Machine learning applications in brain research.- Recent trends in survival prediction of malignant brain tumour patients.