معرفی
Daniel O'Connor is Associate Professor and Director of the Bachelor of Science in Data Science program at the University of San Francisco. His research develops optimization frameworks for medical applications including radiation therapy and MRI reconstruction.
Key innovations include compressed sensing techniques for accelerated imaging and beam orientation algorithms for cancer treatment. Work integrates machine learning with physical models to enhance computational efficiency and precision.
Recent publications advance non-Cartesian MRI reconstruction and regularization methods for dual-energy CT. Collaborations with medical centers translate algorithms to clinical workflows in oncology and diagnostic imaging.
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Daniel O'Connor در سایتهای دیگر
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