News

Tue, 2020-11-24 16:12
8 out of 8 CCIPD affiliated abstracts have been accepted by USCAP
Tuesday, November 24, 2020 - 16:12

Eight CCIPD abstracts will be presented during the United States and Canadian Academy of Pathology (USCAP) 110th Virtual Annual Meeting, held on March 13-18th, 2021. USCAP aims to create better pathologists through various talks, courses, and conferences held during the Annual Meeting. Read more about USCAP 110th Virtual Annual Meeting here

Tue, 2020-11-17 18:49
Three CCIPD papers published in one week
Tuesday, November 17, 2020 - 18:49

    First authors Kaustav Bera, Amir Reza Sadri and Ruchika Verma and their collaborators have had their papers published in JCO Clinical Cancer Informatics, Medical Physics, and Radiology: Artificial Intelligence, respectively. Follow the links below to learn more about these recently published papers.

Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology

Technical Note: MRQy ‐ An Open‐Source Tool for Quality Control of MR Imaging Data

Tumor-Habitat Derived Radiomic Features on Pre-Treatment MRI That Are Prognostic of Progression-Free Survival in Glioblastoma Are Associated with Key Morphologic Attributes on Histopathology: A Feasibility Study
 

Thu, 2020-11-12 19:17
Anant Madabhushi to speak at Precision Medicine World Conference 2021 (PMWC 2021)
Thursday, November 12, 2020 - 19:17

Anant Madabhushi, PhD, the Donnell Institute Professor of Biomedical Engineering and director of the Center for Computational Imaging and Personalized Diagnostics (CCIPD), will be speaking at the Precision Medicine World Conference 2021 (PMWC 2021) during the “AI-Based Radiology and Digital Pathology Applications” Session at the Silicon Valley 2021 Exhibition. Dr. Madabhushi will share the work of CCIPD in his talk titled, “Prognostic and Predictive Radiomics and Pathomics for Precision Oncology.” Read more about the event and Dr. Madabhushi’s talk here.

Thu, 2020-11-12 17:13
Machine Learning Working Group virtual meeting, November 16, 12-1pm ET
Thursday, November 12, 2020 - 17:13

Please join us for a virtual Machine Learning Working Group Meeting on November 16, from 12-1pm EST. Anne L Martel, PhD, Professor, Medical Biophysics, University of Toronto, Senior Scientist, Imaging Research, Sunnybrook Research Institute, and Vector Institute Faculty Affiliate, will present “AI in medical image analysis: making the most of limited data and annotations".

The Center for Computational Imaging and Personalized Diagnostics has partnered with the Case Comprehensive Cancer Center to host the Machine Learning Working Group. Meetings are held with the express goal of leveraging the extensive Artificial Intelligence expertise concentrated across our partner institutions including Case Western Reserve University, University Hospitals, the Cleveland VA Medical Center, MetroHealth, and the Cleveland Clinic and beyond. Through facilitating interaction of basic and clinical researchers we hope to strengthen the scientific merit of presented studies as well as identify novel collaborative opportunities. 

If you would like to attend this month’s session, please reach out to James Hale: jsh171@case.edu