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, 2021-04-15 11:51

A CWRU Biomedical Engineering article focuses on the recent activity and growth of the Center for Computational Imaging and Personalized Diagnostics. Read the full feature on the CWRU Department of Biomedical Engineering’s website.

Thu, 2021-04-15 11:49

In the last month, two patents were awarded to inventors from the Center for Computational Imaging and Personalized Diagnostics (CCIPD): “Predicting recurrence in early stage non-small cell lung cancer (NSCLC) using spatial arrangement of clusters of tumor infiltrating lymphocytes and cancer nuclei”, and “Hough transform-based vascular network disorder features on baseline fluorescein angiography scans predict response to anti-VEGF therapy in diabetic macular edema”.

Congratulations to Anant Madabhushi, PhD, Donnell Institute Professor, biomedical engineering...

Thu, 2021-04-08 11:47

On April 7th, 2021, Anant Madabushi, PhD, gave the talk, "Prognostic and Predictive Radiomics and Pathomics: Implications for Precision Medicine", at the University of Washington’s Pathology Grand Rounds.

The talk focused on “development work on new pathomic approaches for capturing intra-tumoral heterogeneity and modeling tumor appearance.“

Read more on the University of Washington’s website.

Thu, 2021-03-25 (All day)

Two patents were awarded to inventors from the Center for Computational Imaging and Personalized Diagnostics (CCIPD) and their collaborators: “Predicting response to anti-vascular endothelial growth factor therapy with computer-extracted morphology and spatial arrangement features of leakage patterns on baseline fluorescein angiography in diabetic macular edema” and “Methods and apparatus for predicting benefit from immunotherapy using tumoral and peritumoral radiomic features”. CCIPD inventors on these patents are Anant Madabhushi, PhD, Donnell Institute Professor...

Thu, 2021-03-18 12:36

Please join us for a virtual Machine Learning Working Group Meeting on April 5, from 11 am-12 pm EST. Dr. Pingkun Yan, Assistant Professor in the Department of Biomedical Engineering at Rensselaer Polytechnic Institute (RPI) will present “Deep learning Predicts Risks from Chest CT”.

With the recent AI renaissance led by the advancement of deep learning, the landscape of medical imaging and analysis has undergone significant change. This talk presents a series of recent work on how deep learning helps enable new medical studies in chest computed tomography...