About Me

I am Sahar Almahfouz Nasser, a final year PhD Scholar at the Department of Electrical Engineering at the Indian Institute of Technology, Bombay. My PhD research is focused on introducing a range of novel deep learning based algorithms that automatically register medical images. My expertise lies in developing robust supervision, weakly-supervised, semi-supervised, and unsupervised techniques for medical image registration. I am associated with MeDAL (Medical Imaging, Deep Learning, and Artificial Intelligence Lab) and am working under the supervision of Prof. Amit Sethi. Earlier, I obtained my Master's degree from the department of biosciences and bioengineering engineering at IIT Bombay under the supervision of Prof. Debjani Paul, where I developed a novel single test image-based automated machine learning system for distinguishing between trait and diseased blood samples.

During my research, I was fortunate to work and communicate with various collaborators from the perspective of broad interdisciplinary research during my PhD. In my PhD I mainly focussed on MRI-Ultrasound fusion in prostate diagnosis and surgery funded by Qualcomm. During my PhD, I also got the opportunity to work with Prof Tabassum Wadasadawala, Tata Memorial Centre, Mumbai where we are working on the aesthetic evaluation of breast cancer conservative treatment. I also had research assosciations with Dr Purvi Haria for transforming breast cancer diagnosis where I developed a method for real-time ultrasound to mamogram conversion for cost-effective diagnosis.