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Innovations in Imaging

In The News

The Center for Computational Imaging and Personalized Diagnostics (CCIPD) is seeking talented and motivated researchers across all levels (summer students, undergraduate, graduate, and postdoctoral researchers) with interest and expertise in computer science to work on radiomics, artificial intelligence, and machine learning in the fields of medical imaging, radiology, digital pathology, oncology, cardiovascular disease, nephrology and ophthalmology.

At his son’s college graduation in 2017, Dan Chessin felt “terribly uncomfortable” sitting in the stadium. The bouts of pain persisted, and after months of monitoring, a urologist took biopsies of suspicious areas in his prostate.

Case Western Reserve University scientists recently scored approval from the Food and Drug Administration for a new PET imaging agent.

We don’t remember machines, but no one forgets the experience of someone holding a hand, explaining things and listening

Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering and director of the Center for Computational Imaging and Personalized Diagnostics, will be speaking on the Engineering and Imaging News Panel at the 12th International Symposium on Focal Therapy and Imaging in Prostate and Kidney Cancer to be held in Washington, DC, February 9-11, 2020. The three-day event incorporates real-time imaging into the diagnostic and treatment strategies for prostate and kidney cancer.

IBM Symposium on AI for Biomedical Imaging Across Scales, February 4-5, 2020 in San Jose, CA. The symposium is exploring issues of imaging state-of-the-art, use of artificial intelligence in healthcare, and diagnostic needs by practitioners. 

Biomedical Engineering Research Assistant Professors Andrew Janowczyk, PhD and Cheng Lu, PhD presented at the PathLAKE Masterclass: Data Science for Computational Pathology in Warwick, England, January 20-24. Dr. Janowczyk and Dr. Lu are faculty of the Center for Computational Imaging and Personalized Diagnostics.

Radiomics has been shown to be important for prognostic and diagnostic applications, but what about predicting response to therapy? In fall 2019, seven patents were awarded to inventors in the Center for Computational Imaging and Personalized Diagnostics (CCIPD) and their collaborators for new radiomics to predict response and benefit of chemotherapy, radiation and immunotherapy. 

Anant Madabhushi believes artificial intelligence can quickly determine the best approaches to defeat cancer—and it also can spare patients the physical and financial pain of interventions unlikely to help them.


A researcher from Case Western Reserve University has been awarded a grant to test if MRI-based biomarkers can improve how the field manages brain tumors.

Pairing of novel imaging technique with post-processing analyses could ultimately reshape care.  Researchers at Cleveland Clinic and Case Western Reserve University in Cleveland have received a $3 million, five-year R01 grant from the National Institutes of Health (NIH) to use a novel imaging method known as magnetic resonance (MR) fingerprinting to quantitatively assess brain pathology to improve epilepsy care.


Researchers used Microsoft HoloLens to visualize, access pathways in human brain; project by Case Western Reserve’s Interactive Commons, School of Medicine, others

Anant Madabhushi directs the Center on Computational Imaging and Personalized Diagnostics at Case Western Reserve University. There, he 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.

Radiomics finds hidden features in imaging data.

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

This special article collection features some of the latest oncology research published in Elsevier journals, including, "Radiomics and radiogenomics in lung cancer: A review for the clinician." by Case Western Reserve University Researchers.

Predictive analytics in medical imaging is set to have a big impact on cancer care too, says Anant Madabhushi, bioengineering researcher and director of the Center for Computational Imaging and Personalized Diagnostics at the Case School of Engineering at Case Western Reserve University

How can big data improve cancer care? This topic will be addressed by Anant Madabhushi, PhD, of Case Western Reserve University, in his keynote lecture, “The Future of Imaging in Oncology” during Breakthrough: A Global Summit for Oncology Innovators in Bangkok.