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.



Latest News:

Fri, 2016-01-29 08:04

Congrats to Jacob and Satish -- their paper entitled "Radiomics analysis on FLT-PET/MRI for characterization of early treatment response in renal cell carcinoma: a proof-of-concept study" has been accepted in the Journal of Translational Oncology.

Fri, 2016-01-22 15:57

Congrats to Dr. Xu for his paper "A Deep Convolutional Neural Network for Segmenting and Classifying Epithelial and Stromal Regions in Histopathological Images...

Fri, 2016-01-15 11:11

Congratulations to Dr. Wan just had her paper accepted in Nature Scientific Reports. Congratulations to all the co-authors as well!

Fri, 2016-01-08 11:09

Congratulations to Andrew Janowczyk, whose paper was just accepted in the journal Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization.

Fri, 2016-01-08 11:05

Anant Madabhushi, director of the Center of Computational Imaging and Personalized Diagnostics and professor of biomedical engineering, was awarded U.S. patent 9,183,350 for his invention titled “Quantitatively characterizing disease morphology with cell orientation entropy.”

The invention relates to the apparatus, methods and other embodiments associated...