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Rodrigo Moreno is a Professor at KTH Royal Institute of Technology, specializing in the field of Biomedical Imaging. His research is focused on developing mathematical computational tools for the analysis of medical images acquired through various imaging modalities. He is particularly interested in improving the efficiency of image acquisition and processing, and his ultimate goal is to integrate these tools into clinical practice to support physicians. His current projects revolve around several pioneering areas, including magnetic resonance elastography, brain connectivity analysis, synthetic MRI for aging challenges, and advanced cancer imaging analysis using AI methods. With a strong emphasis on developing AI-based solutions, he has been involved in numerous projects aimed at enhancing the accuracy and efficiency of medical imaging, as well as creating new methodologies for early diagnosis and treatment of neuropsychological diseases. His pioneering contributions to fields such as AI in medical imaging not only aim to improve existing technologies but also address critical health issues such as osteoporosis and atherosclerosis. Moreno's work is essential in driving forward the future of medical imaging, aligning basic research with practical, clinical applications.
KTH Royal Institute of Technology • Stockholm, Sweden
Leading research and teaching in the field of Biomedical Imaging.
Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).