I am a graduate student at MIT in the EECS department, advised by Polina Golland. I am interested in models for medical image analysis and characterizing genetic effects on imaging phenotypes. I have been lucky to work with wonderful collaborators.
I serve on the MICCAI Society Student Board, and participate in the MIT-MGH SITECOR program, which allows engineers to observe surgical procedures in an effort to improve O.R. technologies. I also have a side passion for computational photography and vision.
My wife, Monica, is a graduate student at MIT in the Biology department doing exciting research on cancer biology.
Current Main Projects
Joint Modeling of Imaging and Genetics
One of my main interests is on joint modeling of medical imaging and genetic variants. We aim to identify clusters of genetic markers working together to affect brain structure and function, and further explain variances in traits or clinical disease.
Stroke is one of the top causes of death and debilitating injury. We are developing models for extracting important phenotypes from medical stroke imaging to aid in prediction, risk assesment and genetic exploration. Stroke is also a main applications of our imaging genetics models mentioned above.
- A.V. Dalca, R. Sridharan, L. Cloonan, K. M. Fitzpatrick, A. Kanakis, K.L. Furie, J.Rosand, O.Wu, M.Sabuncu, N.S. Rost, P.Golland. Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. In Proc. MICCAI: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS 8674, pp. 773–780, 2014.
- R. Sridharan‡, A.V. Dalca‡, K.M. Fitzpatrick, L.
Cloonan, A. Kanakis, O. Wu, K.L. Furie, J. Rosand,
N.S. Rost, P. Golland.
Quantification and Analysis of Large Multimodal Clinical Image Studies:
Application to Stroke. In Proc. MICCAI International Workshop
on Multimodal Brain Image Analysis (MBIA), pp. 18–30, 2013.
‡ equal contribution
tipiX is a new approach for fast and effective visualization of large image collections. This applies to both natural images as well as medical volumes in population studies. The key insight is to collapse inherently high-dimensional imaging data onto an interactive two-dimensional canvas native to a computer screen in a way that enables intuitive browsing of the image data. Several examples will get you started in various domains. The code is available on github.
Current Side Projects
SciEx is an initiative started by Zoya Bylinskii and myself to promote excitement in science. We are starting with a video competition where entries will aim to be stimulate interest in science for the younger generation in a way that x-games youtube videos stimulate interest in sports.