An increased thrust to understand and quantify the complex information conveyed by medical images is at the core of what we do at SCMIA. Developing modern computational techniques that offer the potential for extracting diverse and complex information from imaging data and applying these to a plethora of clinical studies is crucial. These techniques not only support precise quantification but also overcome the limitations of subjective visual interpretation. Furthermore, these methods can facilitate finding specific markers that relate to pathologies as well as aid in treatment planning.
Building on this background, the objectives of this center are as follows:
(1) Development of novel computer-based image analysis methods and their application to a wide variety of clinical research studies.
(2) Translating the techniques to the clinic thereby aiding early diagnosis and understanding of the underlying pathology, its management, and clinical decision making.
(3) Incorporating the advances in medical imaging and other technologies to develop and steer fundamental research in medical imaging sciences.
Currently, the center focuses on neuroimaging (MRI), neuromusculoskeletal disorders (joints, bones and soft tissues), and breast imaging (ultrasound). Image analysis methodologies include volumetric analysis, diffusion MRI processing and analysis, structural and functional connectomics, statistical learning in imaging, radiomics, population based analysis and deep neural networks for image classification. The center plans to diversify research to image analysis of various organs and include multiple modalities in imaging.
Located among lush hills, Lavale offers a chance to coexist with nature as it stands over a valley surrounded by clouds and painted green in its best season. Powered by solar sources, its eco-friendly functioning makes for a perfect setting for contemplative and incisive study far from the worries and hustle of the city. Designed to conserve natural resources, the Lavale campus incorporates a rain water harvesting project to conserve water and re-use it effectively for various purposes. Envisioned as a green zone, students are encouraged to walk, and bicycles have been provided for transport. The location can be reached via a call cab or local auto from Pune train station or the airport. Lavale is approximately 17 km from Pune University and 25 km from Pune train station. Lavale is in the Mulshi district and city buses are available till the Pashan area. Lavale campus can also be reached from Symbiosis's main campus on Senapati Bapat Road via buses that operate at certain times each day. Please contact the college or campus administrator for bus timings as scheduled for a specific period.
The campus boasts three eateries, hostels, a gymnasium, a state of the art auditorium, a helipad, the Symbiosis Centre for Research & Innovation (SCRI), the Symbiosis Teaching Learning Resource Centre (STLRC) and other facilities for the benefit of students. The Symbiosis International (Deemed University) Offices are also located here.Take a Virtual Tour
Our computational research lab is equipped with