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:

Sat, 2021-11-20 07:34

Congratulations to CCIPD’s Executive Director Katherine Gullett for being selected as a Veale Entrepreneurship Fellow. The fellowship’s program supports faculty and staff to create new initiatives, including specific types of engagement efforts, research proposals, and formal or informal educational activities. Ms. Gullett’s project involves a review of select CCIPD technologies.

Fri, 2021-11-19 12:48

On November 19, 2021, Vincent Dong successfully defended his Master’s Thesis titled, “Evaluating the utility of deep learning for predicting therapeutic response for diabetic retinopathy”. Vincent Dong was mentored by Dr. Anant Madabhushi. Congratulations!

Thu, 2021-11-18 12:28

The Yale Scientific article titled, “Bioethics in the Age of COVID-19: Laundering bias and saving lives through AI',' highlights CCIPD work in implementing triage based on an AI tool's analysis: “Hiremath and Madabhushi developed CIAIN (integrated clinical and AI imaging nomogram), the first deep-learning algorithm to predict the severity of COVID-19 patients’ prognoses based on patient CT lung scans as well as clinical factors.”

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Wed, 2021-11-17 12:47

On November 17, 2021, Ziwei Liu successfully defended his Master’s Thesis titled, “Radiomics characterization of the rectal environment on MRI after chemoradiation to accurately evaluate pathologic response outcomes in rectal cancer”. Ziwei Liu was mentored by Dr. Satish Viswanath. Congratulations!

Mon, 2021-11-15 14:11

On October 28th 2021, Scientific American published the article, ”AI Generates Hypotheses Human Scientists Have Not Thought Of” which discusses the unexpected conclusions found through research, for example, a discovery by Dr. Anant Madabhushi and CCIPD researchers that, “the most important feature for determining a patient’s probability of developing cancer again is related to how tightly glands’ interior structures are packed together.”

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