In recent years there has been an increased thrust to understand and quantify the complex information conveyed by medical images. 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
(3) Develop computational imaging tools in the management of various stages of a disease or disorder including diagnosis, surgery, pre-surgery planning, and monitoring.
Currently, the center focuses on neuroimaging (MRI), neuro-musculoskeletal disorders (CT and MRI), joint diseases (X-Ray, CT, and MRI), 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, dynamic MRI for joint motion, and deep neural networks for image segmentation, classification, and registration. The center plans to diversify research to image analysis and synthesis of various organs and include multiple modalities in imaging along with the genomics component.
Company Details
- Employees
- 12
- Founded
- -
- Address
- Gyan Marg, Gram: Lavale,tal. Mulshi,india
- Industry
- Research Services
- NAICS
-
Scientific Research and Development ServicesResearch and Development in the Physical, Engineering, and Life SciencesResearch and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Website
- https://scmia.edu.in/
- Keywords
- Medical Image Analysis, Deep Learning, Artificial Intelligence, Image segmentation, Neuroimaging, Dynamic MRI, Radiomics, Brain Tumors, functional MRI, MRI to CT synthesis, Computational Imaging, Orthopedic Biomechanics, Statistical Inference, Machine Learning, Robotics, Diffusion Tensor Imaging, Connectomics, qMRI, Knee, Skeletal growth modeling.
- HQ
- Pune, Maharashtra
- Competitors
- SYMRESEARCH 2.0, R3 Imaging, Symbiosis Medical College for Women, Mortgage Kart Limited, Medical Image Analysis Laboratory, SCAAI - Symbiosis Centre for Applied AI, Symbiosis Centre for Climate Change and Sustainability (SCCCS), MedIAN: Medical Image Analysis Network, Symbiosis Centre for Research and Innovation (SCRI), Fluid.Live.
Symbiosis Centre For Medical Image Analysis (Scmia) Questions
Symbiosis Centre For Medical Image Analysis (Scmia)'s website is https://scmia.edu.in/
Symbiosis Centre For Medical Image Analysis (Scmia)'s LinkedIn profile is https://in.linkedin.com/company/scmia
Symbiosis Centre For Medical Image Analysis (Scmia) has
12 employees.
View email and phone details for 12
employees at Symbiosis Centre For Medical Image Analysis (Scmia).
Symbiosis Centre For Medical Image Analysis (Scmia)'s industry is
Research Services
Symbiosis Centre For Medical Image Analysis (Scmia)'s top competitors are
Symresearch 2.0,
R3 Imaging,
Symbiosis Medical College For Women,
Mortgage Kart Limited,
Medical Image Analysis Laboratory,
Scaai - Symbiosis Centre For Applied Ai,
Symbiosis Centre For Climate Change And Sustainability (Scccs),
Median: Medical Image Analysis Network,
Symbiosis Centre For Research And Innovation (Scri),
Fluid.live.
Symbiosis Centre For Medical Image Analysis (Scmia)'s categories are Research Services
Symbiosis Centre For Medical Image Analysis (Scmia)'s founding year is 2017
