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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For the fourth year in a row, a paper co-authored by Center for Computational Imaging and Personalized Diagnostics researchers has been included in the annual Research Highlights of the Epidemiology and Genomics Research Program (EGRP). The paper, Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma, was written in collaboration with researchers from Case Western Reserve University, Louis Stokes Cleveland Veterans Administration Medical Center, Nanjing University of Information...
Congratulations to CCIPD authors Amir Reza Sadri, Thomas DeSilvio, and Prathyush Chirra for their award-winning paper titled, “Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI.”
Read more here:...
A paper from CCIPD, “Predicting cancer outcomes with radiomics and artificial intelligence in radiology”, by authors Kaustav Bera, Nathaniel Braman, Amit Gupta, Vamsidhar Velcheti & Anant Madabhushi was featured on the cover of Nature Reviews Clinical Oncology’s February Issue. Read the featured article on Nature's webpage.
A CWRU Think Magazine article titled, “MAPPING BRAIN CANCER: Pallavi Tiwari is developing imaging technology to customize the diagnosis and treatments of tumors”, highlights the work of CCIPD faculty member Pallavi Tiwari, PhD. Dr. Tiwari leads the BrIC Lab in the CWRU School of Medicine where her team is developing a diagnostic method that aims to determine whether a suspicious tumor is benign or malignant without putting patients under the knife.
To learn more, read...
CCIPD and collaborators identified biomarkers to identify which patients with oropharyngeal cancer will benefit from therapy ‘de-escalation’.
Using AI, researchers were able to identify which patients with certain head and neck cancers would benefit from reducing the intensity of treatments such as radiation therapy and chemotherapy.
To read more about this discovery, read the full press release here.
