Gopal Karemore
About Me
I was born in the beautiful city of Nagpur, in central India, on December 24, 1982. I received my B.E. degree in Electronics Engineering from Pune University in 2005 followed by M.S.
degree in Medical Software from Manipal University in 2007. In 2008, I got my PhD scholarship from University of Copenhagen and co-sponsored by Nordic Bioscience A/S,
Denmark under Prof. Mads Nielsen , where The fundamental goal of this dissertation was to investigate the potential of mammographic
parenchymal texture as an imaging biomarker of (i) General risk of developing breast cancer, (ii) Effect specific drugs involving various HRT treatments, and (iii) Estrogen Receptor sub type specific breast cancer risk.
Title of my thesis was Computer Aided Breast
Cancer Risk Assessment using Shape and Texture of Breast Parenchyma in Mammography .
My research interest includes Microscopy/Medical Image Analysis through computer vision, pattern recognition, machine learning, Biostatistics, Imaging Biomarker, High Content Screening, Laser Spectroscopy data analysis using
advance computational techniques. I have been involved in developing and applying these techniques while working with various organizations such as Philips Medical System; DRDO(Vehicle Research Development
Establishment); Imaging labs, GE Global Research; Bioinformatics Dept, Algorithm Design and Scientific Computing, The Fraunhoffer Institute on Chemical Structure
Reconstruction. In period of 2010-2011 I worked as a research scholar at Siemens Corporate Research, NJ, USA and Radiology Dept. at Univ. of Pennsylvania, PA, USA.
In 2012-2014, I worked as an Imaging Scientist at National Center for Cardiovascular Research (CNIC, Spain) where my research interest was Machine learning for modeling and
interpretation of cell based High Content Screening & Analysis for rapid drug discovery, 3D visualization of mice embryonic heart morphogenesis to quantify the mitotic spindle orientation
using computational geometry and shape modeling in OPT/Confocal Imaging, Texture Based Biomarker for Quantifying Fibrillogenesis using Structure Tensor, Fractal Dimension, Lacunarity, and Homogeneity
for both Confocal and SHG Images.
From 2015 I'm working as a Senior Consultant at
Novo Nordisk Foundation Center for Protein Research & Danish Stem Cell Center . Here I'm resposible for various project involving Image analysis and visualization
within Protein Imaging Platform. I am also involved as a reviewer for SPIE-Medical Imaging, SPIE-Biophotonics, MICCAI, Springer-Medical Image Analysis.