Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future

10 August 2021

Papers citing "Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future"

8 / 8 papers shown

Title
AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas K. Maier OOD 30 2 0 04 Jul 2022
Classification at the Accuracy Limit -- Facing the Problem of Data Ambiguity C. Metzner A. Schilling M. Traxdorf K. Tziridis Holger Schulze P. Krauss 28 11 0 04 Jun 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and Optimization Nir Shlezinger Yonina C. Eldar Stephen P. Boyd 22 130 0 05 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 185 83 0 12 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 286 10,613 0 19 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 269 5,326 0 05 Nov 2016