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:

Mon, 2019-11-04 09:22

As Director of CCIPD, Anant Madabhushi works closely with radiologists, pathologists, surgeons, clinicians and cardiologists to explore medical imaging applications of machine learning beyond diagnostics. Chief among them is using the technology to identify disease prognoses and predict responses to treatment. Read the ICE article here.

Fri, 2019-11-01 16:57

CCIPD radiomics work is the cover story of Radiology Today's November issue. In the article "More Than Meets the Eye," CCIPD PhD candidates Niha Beig and Mohammadhadi Khorrami and CCIPD Director Anant Madabhushi talk about their work in lung cancer, learning from subvisual clues, and challenges and ongoing research.

Read the cover story here.

Fri, 2019-11-01 16:54

Case Western Reserve digital-imaging lab advances understanding of which ‘stage 0’ patients are most likely to progress to advanced cancer and may benefit from additional therapy. 

Read the article here.

Wed, 2019-10-09 17:09

Nature Reviews Clinical Oncology published an editorial on CCIPD's recent paper on AI in Digital Pathology, which was published by the same. Read the editorial here.

Wed, 2019-10-09 17:03

CCIPD Director Anant Madabhushi was quoted in the HealthTech Magazine article, "How predictive analytics is Impacting Patient Care": Artificial Intelligence can play a role in alleviating challenges related to cancer care. Read more here.