معرفی
Dr. John Onofrey is an Assistant Professor of Radiology & Biomedical Imaging and Urology at Yale School of Medicine. He holds a PhD in Biomedical Engineering from Yale and prior computer science degrees from Johns Hopkins University. His research focuses on developing AI-driven solutions for clinical challenges in prostate and liver cancer diagnostics, PET imaging, and medical image analysis. He leads NIH-funded projects and co-teaches an interdisciplinary course on data-driven clinical decision-making.
His work emphasizes machine learning applications in medical imaging, including segmentation, motion correction, and predictive modeling. Notable contributions include automated liver segmentation algorithms, bias analysis in medical AI, and prostate cancer risk mapping using MRI. He collaborates with departments like Biomedical Engineering and the Center for Biomedical Data Science.
Publications span journals like European Radiology and IEEE Transactions on Medical Imaging, with a focus on translational AI solutions. His lab (OnofreyLab) actively develops open-source tools for biomedical imaging tasks.
