UMN Machine Learning Seminar: Tackling the Challenges of Next-generation Healthcare: NVIDIA’s Applied Research in Medical Imaging
The UMN Machine Learning Seminar Series brings together faculty, students, and local industrial partners who are interested in the theoretical, computational, and applied aspects of machine learning, to pose problems, exchange ideas, and foster collaborations. The talks are every Thursday from 12 p.m. - 1 p.m. during the Fall 2021 semester.
This week's speaker, Holger Roth (NVIDIA), will be giving a talk titled "Tackling the Challenges of Next-generation Healthcare: NVIDIA’s Applied Research in Medical Imaging."
Recent advances in computer vision and artificial intelligence caused a paradigm shift in medical image computing and radiological image analysis. Deep learning has been widely applied to many radiological applications, replacing, or working together with conventional methods. The advantage of being able to learn from that data directly is promising for many imaging tasks. Some key factors and current challenges preventing the widespread adaption of machine learning techniques in the clinic are algorithmic considerations, computational power, and, most critically, high-quality data for training.
NVIDIA wants to provide solutions to make the widespread adoption of deep learning and artificial intelligence easier in the real world. This talk will highlight NVIDIA’s efforts in the healthcare sector and medical imaging research, for example, around federated learning and COVID-19 image analysis, and introduce platforms & hardware considerations for modern machine learning at scale.
Holger Roth is a Sr. Applied Research Scientist at NVIDIA focusing on deep learning for medical imaging. He has been working closely with clinicians and academics over the past several years to develop deep learning based medical image computing and computer-aided detection models for radiological applications. He is an Associate Editor for IEEE Transactions of Medical Imaging and holds a Ph.D. from University College London, UK. In 2018, he was awarded the MICCAI Young Scientist Publication Impact Award.