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Mission

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:

Fri, 2019-12-20 11:19

Case Western Reserve University School of Medicine researcher, Cleveland Clinic neurosurgeon collaborate on three-year project, aided by $600,000 grant

The grant was awarded to Pallavi Tiwari, an assistant professor of biomedical engineering at Case Western Reserve with dual appointments in the School of Medicine and Case School of Engineering, and ...

Fri, 2019-12-20 10:38

Read the 2019 Case Comprehensive Cancer Center Director's Message for some of the highlights and accomplishments of its members, including Anant Madabhushi, PhD and the team at CCIPD.

Tue, 2019-12-17 11:21

Supported with three-year, $2.75M grant from Bristol-Myers Squibb Foundation 

With a $2.75 million, three-year grant from the Bristol-Myers Squibb (BMS) Foundation, researchers from Case Western Reserve University will lead a community-wide initiative to create and apply innovative methods to prevent and detect lung cancer in underserved residents in Northeast Ohio.

This grant is also featured in...

Mon, 2019-12-16 11:32

The work of CCIPD is noted among the extraordinary accomplishments of 2019 at CWRU.

https://thedaily.case.edu/state-of-the-university-2019/

Wed, 2019-12-04 12:49

Case Western Reserve researchers use AI with routine CT scans to predict how well lung cancer patients will respond to expensive treatment based off changes in texture patterns inside and outside the tumor

Scientists from the Case Western Reserve University digital imaging lab, already pioneering the use of artificial intelligence (AI) to predict whether chemotherapy will be successful, can now determine which lung-cancer patients will benefit from expensive immunotherapy. Read the full article...