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Deep learning and shape modelling for medical image reconstruction, segmentation and analysis
Presenter
- Daniel Rueckert
January 31, 2020
IPAM
Deep learning as a toy model of the 1/N-expansion and renormalization
Presenter
- Daniel Roberts
November 20, 2019
IPAM
Deep learning in medical imaging: Techniques for image reconstruction, super-resolution and segmentation
Presenter
- Daniel Rueckert
February 6, 2018
IPAM
Daniel Schwen - MOOSE: Parallel sampling for rare event probabilities & inverse Bayesian inference
Presenter
- Daniel Schwen
March 30, 2023
IPAM
Leveraging time integration to increase efficiency and robustness of nonlinear implicit solvers
Presenter
- Daniel Reynolds
September 1, 2015
ICERM
A Non-flag Arithmetic Regularity Lemma and Counting Lemma
Presenter
- Daniel Altman
March 10, 2023
IAS
A Fast and Programmable Accelerator for Fully Homomorphic Encryption
Presenter
- Daniel Sanchez
February 7, 2022
IMSI