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°Â¾±²õ³¾Ã¼±ô±ô±ð°ù Lab

Welcome to the °Â¾±²õ³¾Ã¼±ô±ô±ð°ù Lab

The mission of Professor °Â¾±²õ³¾Ã¼±ô±ô±ð°ù's research group is to develop novel intuitively intelligible computational visualization methods for the exploratory analysis of high-dimensional data from biomedical imaging. Specifically, the focus of our research is on developing robust and adaptive systems for computer-aided analysis and visualization which combine principles and computational strategies inspired by biology with machine learning and image processing/computer vision approaches from electrical engineering and computer science.

Research efforts in Professor °Â¾±²õ³¾Ã¼±ô±ô±ð°ù's group are taking place at two complementary levels:

  • Mathematical algorithms for computational image analysis
  • Pattern recognition in clinical real-world applications

Application areas range from functional MRI for human brain mapping, MRI mammography for breast cancer diagnosis, image segmentation in Multiple Sclerosis and Alzheimer's Dementia to multi-modality fusion, biomedical time-series analysis, and quantitative bio-imaging. Professor °Â¾±²õ³¾Ã¼±ô±ô±ð°ù's laboratory is located in the Rochester Center for Brain Imaging, which houses a whole body 3T Siemens MRI Scanner and several high field magnets.

Publications

    1. °Â¾±²õ³¾Ã¼±ô±ô±ð°ù A
    2. DSouza AM
    3. Abidin AZ
    4. Ali Vosoughi M
    5. Gange C
    6. Cortopassi IO
    7. Bozovic G
    8. Bankier AA
    9. Batra K
    10. Chodakiewitz Y
    11. Xi Y
    12. Whitlow CT
    13. Ponnatapura J
    14. Wendt GJ
    15. Weinberg EP
    16. Stockmaster L
    17. Shrier DA
    18. Shin MC
    19. Modi R
    20. Lo HS
    21. Kligerman S
    22. Hamid A
    23. Hahn LD
    24. Garcia GM
    25. Chung JH
    26. Altes T
    27. Abbara S
    28. Bader AS
    Early-stage COVID-19 pandemic observations on pulmonary embolism using nationwide multi-institutional data harvesting.; NPJ digital medicine; Vol 5(1), pp. 120. 2022 Aug 19.
    1. °Â¾±²õ³¾Ã¼±ô±ô±ð°ù A
    2. Dsouza AM
    3. Vosoughi MA
    4. Abidin A
    ; Scientific reports; Vol 11(1). 2021 Apr 09.
    1. °Â¾±²õ³¾Ã¼±ô±ô±ð°ù A
    2. Stockmaster L
    Investigating Covid-19 Pandemic-Induced Effects on Detection of Emergent Clinical Imaging Findings by Large-Scale Tracking of Utilization and Reading Results for AI-Based Image Analysis Services; Proc. of SPIE. Accepted for publication.. 2021 Jan 01.
    1. °Â¾±²õ³¾Ã¼±ô±ô±ð°ù A
    2. Vosoughi MA
    Large-scale Augmented Granger Causality (lsAGC) for Connectivity Analysis in Complex Systems: From Computer Simulations to Functional MRI (fMRI); Proc. of SPIE. Accepted for publication.. 2021 Jan 01.
    1. °Â¾±²õ³¾Ã¼±ô±ô±ð°ù A
    2. DSouza AM
    3. Vosoughi MA
    4. Abidin AZ
    Network Connectivity Analysis in Complex Systems Using Large-Scale Non-Linear Granger Causality (lsNGC); Proc. of SPIE. Accepted for publication.. 2021 Jan 01.
    1. Vosoughi MA
    2. °Â¾±²õ³¾Ã¼±ô±ô±ð°ù A
    Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI; Proc. of SPIE. Accepted for publication.. 2021 Jan 01.
    1. Abidin AZ
    2. DSouza AM
    3. Schifitto G
    4. °Â¾±²õ³¾Ã¼±ô±ô±ð°ù A
    ; Journal of neurovirology. 2020 Jan 07.

View All Publications

Contact Us

  °Â¾±²õ³¾Ã¼±ô±ô±ð°ù Lab
601 Elmwood Ave, Box 608
Rochester, NY 14642