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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Mon, 2020-01-13 11:22

What is interdisciplinary research in Artificial Intelligence in Medicine? In Case Western Reserve University's Beyond annual report, Center for Computational Imaging and Personalized Diagnostics faculty director Anant Madabhushi, PhD explains: “Being interdisciplinary, to me, is more than a buzzword. It embodies how biomedical engineering needs to be done.” This is teamwork with CCIPD at CWRU!

Read the story, Beyond Better Health, in CWRU's...

Fri, 2020-01-03 10:55

Radiomics has been shown to be important for prognostic and diagnostic applications, but what about predicting response to therapy? In fall 2019, seven patents were awarded to inventors in the Center for Computational Imaging and Personalized Diagnostics (CCIPD) and their collaborators for new radiomics to predict response and benefit of chemotherapy, radiation and immunotherapy. The Case Western Reserve University inventors are: Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering and director of the CCIPD; Research Assistant Professors Cheng Lu and Mehdi Alilou; and...

Wed, 2019-12-25 22:00

What are five things to watch in Radiology in 2020? This Radiology Today article highlights the RSNA keynote given by Anant Madabhushi, PhD on integrated diagnostics and the "ways in which AI can help with data aggregation, citing several examples, such as coregistering radiology and pathology images and improving diagnostic and prognostic tools."

Wed, 2019-12-25 21:00

Cleveland.com videographer John Pana reflects on the videos of 2019 that were the most fun to make. Number Five on the list is Cleveland's HomeGrown Heroes, featuring his interview with Anant Madabhushi, PhD. Watch the short video link in the article, or the full-length video here.

Fri, 2019-12-20 11:49

Niha Beig, PhD candidate in Biomedical Engineering and researcher in the Center for Computational Imaging and Personalized Diagnostics has been selected for a one-year term as a Trainee Editorial Board member for the journal Radiology: Artificial Intelligence. In this role, she will learn scientific journalism, contribute to content on the applications of Artificial Intelligence in Radiology, and help build the future of the journal. Beig is advised by Pallavi Tiwari, PhD. Click here for...