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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:

Tue, 2020-02-18 17:37

A team from the Center for Computational Imaging and Personalized Diagnostics (CCIPD) won the Best Tech Demo Award at the International Society for Optics and Photonics (SPIE) Medical Imaging Symposium, February 2020. CCIPD presented “Quality control and assurance tools for radiographic and digital pathology images'’, a demo of two quality assessment tools for medical imaging: HistoQC and MRQy. The Live Demonstration Workshop at SPIE provides a forum for systems and algorithms developers to...

Fri, 2020-02-14 16:01

Lancet Digital Health has just published a paper from the Center for Computational Imaging and Personalized Diagnostics (CCIPD) on using a Radiomics Model for Early-Stage Non Small Cell Lung Cancer. The CT-derived Radiomic risk score predicts survival of the patient and predicts the added benefit of adjuvant chemotherapy post surgery in early stage resectable non-small cell lung carcinoma. Read the paper here, "CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-...

Wed, 2020-02-12 10:18

Leapsmag: An exciting collaboration between Case Western Reserve University and University Hospitals could lead to the creation of a virtual biopsy — a combined MRI and computerized tool to support more accurate detection and grading of cancer. Anant Madabhushi, professor of biomedical engineering and director of the Center for Computational Imaging and Personalized Diagnostics, talked about the hope for virtual biopsies for certain cancers one day. He discussed Artificial Intelligence-guided diagnostics, which he said have already...

Tue, 2020-02-11 17:30

For the second year in a row, a paper written by researchers in CCIPD has been included in the NCI’s Research Highlights for the Epidemiology and Genomics Research Program (EGRP) for 2019: Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non-small cell lung cancer, Cancer Immunol Res. 2019 Nov 12. The Research Highlights collection showcases the breadth of work being done by primary investigators with the support of grants from the EGRP portfolio...

Tue, 2020-02-11 15:27

A Center for Computational Imaging and Personalized Diagnostics paper by Pallavi Tiwari, PhD, assistant professor of biomedical engineering; Prateek Prasanna, PhD, research associate; and their co-authors was awarded a "Most Cited Paper Award 2017" for receiving the second highest number of citations. The paper, "Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings...