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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Thu, 2020-07-16 10:14


This story appeared in CWRU's The Daily on July 16, 2020. Read the full story here.

Every day, Case Western Reserve University students transcend limitations as they make significant contributions toward impactful research. Haojia Li, a fourth-year PhD student in the Department of Biomedical Engineering at the Case School of Engineering, is no exception. Crain’s Cleveland...

Tue, 2020-07-14 16:22

Congratulations to Catherine Jayapandian, PhD, Senior Research Associate in the Center for Computational Imaging and Personalized Diagnostics (CCIPD), who has been awarded a one-year $57,500 Career Enhancement Award from the Neptune Kidney Consortium for her project entitled "Computational Pathology-based Prognostic Predictor of Outcome for FSGS". Jayapandian will be co-mentored by CCIPD Director Anant Madabhushi, PhD, and John Sedor, Nephrologist, Glickman Urological & Kidney Institute, Cleveland Clinic.


Tue, 2020-07-14 16:06

Congratulations to Center for Computational Imaging and Personalized Diagnostics (CCIPD) researcher Albert Feeny along with co-authors from CCIPD whose paper titled “Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology” was published in the American Heart Association journal Circulation: Arrhythmia and Electrophysiology. 

Abstract: Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of intense exploration...

Wed, 2020-07-08 16:00

The article “Radiomics Can Identify High-Risk Early Stage Lung Cancer” from Medscape quotes Anant Madabhushi, PhD, and references several studies from Madabhushi and the CCIPD team including a 2019 study in radiomics showing that combining radiomics and imaging may be able to determine which patients with lung cancer were most likely to respond to chemotherapy....