IFML Seminar
IFML Seminar: 04/17/26 - Learning and guidance approaches for generative and physics-driven models in computational MRI
Abstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-noise ratio. Thus, computational MRI techniques for reconstruction from sub-sampled noisy data have received great...
Upcoming Events
- April1712:15 - 1:15pm
IFML Seminar
Event DetailsAbstract: Lengthy data acquisition remains a major bottleneck in magnetic resonance imaging (MRI), often necessitating tradeoffs in resolution and signal-to-…
Past Events
- March313:15 - 4 pm
IFML Seminar
Event DetailsAbstract: Deep learning is delivering unprecedented performance when applied to various data modalities, yet there are data distributions over which...
- March302 - 3 pmEvent Details
Abstract: Magnetic Resonance Imaging (MRI) enables non-invasive measurement of anatomy with a wide range of image contrast, but incurs significant...
- March2412:15 - 1 pm
IFML Seminar
Event DetailsAbstract: A brain-machine interface (BMII) is a system that enables users to interact with computers and robots through the voluntary...
- March312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Customer statistics collected in several real-world systems have reflected that users often prefer eliciting their liking for a given...
- February1012:15 - 1 pm
IFML Seminar
Event DetailsAbstract: The activation function deployed in a deep neural network has great influence on the performance of the network at...
- February312:15 - 1 pm
IFML Seminar
Event DetailsAbstract: Graph neural networks (GNNs) are successful at learning representations from most types of network data but suffer from limitations...
