I am a computer vision and medical imaging scientist based in Pune, India. I have significant experience in building AI/ML solutions in healthcare imaging, manufacturing, and ecommerce sectors. Presently I am a principal scientist at TeraRecon Inc, a ConcertAI company.
Previously, I was a lead scientist in the Industrial AI lab at GE Research Bengaluru in the computer vision team, where I developed AI/ML algorithms to improve scanning efficiency in MRI scanners and functional MRI processing. I also built signal processing algorithms for sensors for non-destructive evaluation of industrial parts.
Prior to that I was a computer vision scientist at IBM Watson Health where I built object detection and image classification algorithms using the (then) latest deep learning architectures for cancer detection in digital mammograms. I also did a couple of postdoctoral stints at Massachusetts General Hospital (MGH) and Johns Hopkins University (JHU) primarily working on developing image segmentation and image synthesis algorithms for brain MRI.
PhD in Computer Science, 2016
Johns Hopkins University
MSE in Computer Science, 2011
Johns Hopkins University
BTech in Computer Science and Engineering, 2009
Indian Institute of Technology Bombay (IITB)
Responsibilities include:
Responsibilities include:
Responsibilities include:
Projects:
Projects:
Projects:
Projects:
SimpleITK has a fantastic python API for medical image processing, but it has a steep learning curve. In this post I will document how to resample images using the Resample filter via the complicated, but really useful task of extracting oblique slices in a 3D image. If you imagine a 3D image as a cube then an oblique slice is formed by sampling the image on a plane that has an arbitrary normal and does not align with the canonical axial, sagittal, coronal planes (see Fig. 1).