Dr. Rakesh Shiradkar is a research faculty in Biomedical Engineering at Case Western Reserve University. He obtained his PhD in Electrical and Computer Engineering from the National University of Singapore in 2014 and joined Case Western Reserve University as a post-doctoral researcher. His research focuses on developing machine learning and artificial intelligence methods in conjunction with quantitative and conventional MRI for image-based diagnosis and prognosis of prostate cancer. He also works on integrating multi-modal data such as MRI, pathology, genomics for developing reliable and robust methods for cancer diagnostics. He has also been exploring methods for addressing health disparities in prostate cancer using AI. He has been leading multi-institutional projects on cancer diagnostics and is the PI on a 3 year DoD early career award and a Pilot Award from the Case Comprehensive Cancer Center. He has published extensively on prostate imaging AI in more than 20 high impact journals and conference proceedings.
Computational Imaging Biomarkers for Imaging based Cancer Diagnosis
Imaging plays a significant role in non-invasive diagnosis and assessment of cancer, but is limited by inter-observer variability and confounders. This talk will demonstrate the potential of computational imaging biomarkers in quantifying cancer heterogeneity for improving diagnosis and also prognosticating treatment outcomes from pre-treatment imaging.
Sharmila Majumdar, UCSF
The use of Artificial Intelligence (AI) in diagnostic medical imaging is undergoing extensive evaluation. AI has shown impressive accuracy and sensitivity in the identification of imaging abnormalities and promises to enhance tissue-based detection and characterization. This track will explore technical advancements in clinical machine learning and use cases in radiology.