The Department of Computer Science at the Johns Hopkins University released a PhD student profile page highlighting student research areas and publications allowing people to learn more about the variety of work being done here. A recent PhD graduates profile page is also available to learn where Johns Hopkins CS PhD students go after graduation!
Volunteered with Johns Hopkins Engineering Innovation program to help with an activity designed by Anand Malpani to teach high school students about the role of technology in surgical education. The students came from all around the world, and learned about the various robotic skills required in open and laproscopic surgery.
Video of my presentation of our paper simultaneous segmentation and correspondence improvement using statistical modes at SPIE Medical Imaging conference earlier this year is out now! This paper was selected as one of the Robert F. Wagner best student paper finalists, and presents an elegant method to simultaneously improve segmentation and correspondence between homologous meshes. Watch the video here:
Was inducted into the International Honor Society for the Computing and Information Disciplines, Upsilon Pi Epsilon (UPE). UPE is the first honor society dedicated to the discipline of computer information systems and computer science.
Our paper, simultaneous segmentation and correspondence improvement using statistical modes, Robert F. Wagner best student paper finalist, is out now and available for download from the SPIE Digital Library. In this paper, we present a method that iteratively improves both segmentation as well as correspondence between segmentations by using statistical shape models (SSMs) not only to improve correspondence, but also to constrain the movement of vertices during segmentation improvement. To learn more, take a look at the publication! If you do not have a subscription to the SPIE Digital Library, feel free to contact me for a copy of the paper!
Our paper, Simultaneous segmentation and correspondence improvement using statistical modes, which was accepted to SPIE Medical Imaging conference, is a Robert F. Wagner best student paper finalist. All finalists will be announced and recognised at the start of the Plenary and Awards session on Monday, 13th February, at 4pm in Orlando, FL. The runner-up and winner will be announced after this! Update The winner and runner-up for the Robert F. Wagner best student paper award were announced at the conference on Monday, the 13th of February. More inforamtion and updates can be found here.
Master's project manuscript is now public! In this paper, we present a new method for computing approximate geodesic distances. We introduce the wave method for approximating geodesic distances from a point on a manifold mesh. Our method involves the solution of two linear systems of equations. One system of equations is solved repeatedly to propagate the wave on the entire mesh, and one system is solved once after wave propagation is complete in order to compute the approximate geodesic distances up to an additive constant. However, these systems need to be pre-factored only once, and can be solved efficiently at each iteration. All of our tests required approximately between 300 and 400 iterations, which were completed in a few seconds. Therefore, this method can approximate geodesic distances quickly, and the approximation is highly accurate. Watch videos about the project on the project page!
Served on the panel of the GRACE Mentoring Dinner along with Prof. Joanne Selinksi, Prof. Muyinatu Bell, Dr. Louise Sengupta, and undergraduate CS student, Paige Senal. The event, organized by GRACE in Clipper Room, Shriver Hall on the 5th of December, was attended by over 90 people. We discussed our experiences in our fields, as well as issues faced by women in engineering and how we can combat them. You can read more about the event here.
Presented our paper Anatomically Constrained Video-CT Registration via the V-IMLOP Algorithm at MICCAI in Athens, Greece. In this paper, we present an algorithm developed to aid surgeons during functional endoscopic sinus surgery (FESS). FESS is a surgical procedure used to treat acute cases of sinusitis and other sinus diseases. FESS is fast becoming the preferred choice of treatment due to its minimally invasive nature. However, due to the limited field of view of the endoscope, surgeons rely on navigation systems to guide them within the nasal cavity. State of the art navigation systems report registration accuracy of over 1mm, which is large compared to the size of the nasal airways. We present an anatomically constrained video-CT registration algorithm that incorporates multiple video features. Our algorithm is robust in the presence of outliers. We also test our algorithm on simulated and in-vivo data, and test its accuracy against degrading initializations. The manuscript is also available on arxiv, and the code is coming soon. Read more on the project page!
Our paper, Simultaneous segmentation and correspondence improvement using statistical modes, has been accepted for an oral presentation at SPIE Medical Imaging conference in Orlando, FL, from the 12th-16th of February, 2017. The talk will be held on the 14th of February. Please join!