The Center of Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University is involved in various different aspects of developing, evaluating and applying novel quantitative image analysis, computer vision, signal processing, segmentation, multi-modal co-registration tools, pattern recognition, and machine learning tools for disease diagnosis, prognosis, and theragnosis in the context of breast, prostate, head and neck, and brain tumors as well as epilepsy and carotid plaque. Our group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales, modalities, and functionalities -- from gene and protein expression to spectroscopy to digital pathology and to multi-parametric MRI.


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Latest News:

Thu, 2019-08-22 19:30

The Pathologist's Luke Turner sat down with Anant Madabhushi to learn about Madabhushi's path to and passion for digital and computational pathology. Read their interview here.

Mon, 2019-08-12 10:21

Case Western Reserve professor Anant Madabhushi’s research looks to improve diagnoses, treatment of patients

CWRU Professor Anant Madabhushi showing a colleague images on a screenWatch video: ...

Mon, 2019-08-12 10:12

Artificial Intelligence in Oncology Symposium

Oct 24, 2019 | Tinkham Veale University Center

On October 24, the Case Comprehensive Cancer Center will host the inaugural ...

Tue, 2019-06-11 17:00

The BrainX Community and Case School of Engineering’s Center for Computational Imaging and Personalized Diagnostics (CCIPD) will host a session titled “Solving Health Care Challenges with Machine Learning and Artificial Intelligence.”

The session will be held Tuesday, June 11, from 5 to 6:30 p.m. in Nord Hall, Room 356.

Ashish Khanna from the Wake Forest University School of Medicine, Rakesh Shiradkar, a research associate in the CCIPD, and Sharona Hoffman, the Edgar A. Hahn Professor of Law and co-director of the Law-Medicine Center, will speak during the...

Thu, 2019-04-25 14:38

Recent research at the Center has unveiled novel quantitative imaging biomarkers from the immediate periphery adjacent to the tumor in both invasive breast cancer and advanced non-small cell lung cancer, from pre-treatment DCE-MRI and CT scans respectively. The breast cancer work was recently reported in JAMA Open, while the lung cancer work was published in...