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, 2020-10-08 17:00

A Center for Computational Imaging and Personalized Diagnostics (CCIPD) technology licensed by a startup has received FDA approval and is in the IBM AI marketplace. The vascuCAP software analyzes CT angiograms to characterize plaque tissues in a manner that could previously only be done with a tissue specimen. This software will now be more accessible to healthcare providers on IBM’s Imaging AI Marketplace.

Read more on Business Wire here.

Thu, 2020-10-08 16:00

During the 23rd International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI) hosted on October 4th-8th, Center for Computational Imaging and Personalized Diagnostics (CCIPD) newly minted PhD, Dr. Jacob Antunes, was awarded for his outstanding performance as a reviewer! 

Learn more about MICCAI 2020 here.

Wed, 2020-09-30 16:34

Anant Madabhushi, PhD, and Cheng Lu, PhD, from the Center for Computational Imaging and Personalized Diagnostics (CCIPD) were awarded the patent: “Predicting cancer recurrence using local co-occurrence of cell morphology (LoCoM)”. 

United States Serial Number (USSN): 10,783,627, September 22nd, 2020.

Inventors: Madabhushi; Anant (Shaker Heights, OH), Lu; Cheng (Cleveland Heights, OH)

Abstract: Embodiments include apparatus for predicting cancer recurrence based on local co-occurrence of cell morphology (LoCoM)....

Fri, 2020-09-25 17:02

Dr. Anant Madabhushi is presenting “Artificial Intelligence and Computational Pathology for Precision Medicine” for Grand Rounds with the Department of Pathology, The University of Alabama at Birmingham.

Thursday, October 1, 2020 | 8:00 am – 9:00 am Central Time

Register for the event here.

Fri, 2020-09-25 13:13

Bringing AI to agriculture: Counting cattle is only the beginning for Shoshana Ginsburg, PhD ’15. Her startup Quanterra put a smart eye in the sky.

As a graduate student at the Case School of Engineering, Shoshana Ginsburg excelled in an emerging area of biomedical science called medical image analysis. She joined the fledgling Center for Computational Imaging and Personalized Diagnostics in 2012 and conducted significant research using machine learning to characterize tumor types in prostate cancer.