LIP-CAR: contrast agent reduction by a deep learned inverse problem

15 July 2024

Papers citing "LIP-CAR: contrast agent reduction by a deep learned inverse problem"

10 / 10 papers shown

Title
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks X. Tai Hao Liu Raymond H. F. Chan 68 10 0 18 Jul 2023
Continuous U-Net: Faster, Greater and Noiseless Chunyang Cheng Christina Runkel Lihao Liu Raymond H. F. Chan Carola-Bibiane Schönlieb Angelica I Aviles-Rivero SSeg 55 10 0 01 Feb 2023
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 49 104 0 09 Nov 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 94 1,021 0 22 Dec 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 92 1,446 0 17 Jul 2019
On instabilities of deep learning in image reconstruction - Does AI come at a cost? Vegard Antun F. Renna C. Poon Ben Adcock A. Hansen 48 602 0 14 Feb 2019
Universality of Deep Convolutional Neural Networks Ding-Xuan Zhou HAI PINN 412 514 0 28 May 2018
Deep Neural Networks Motivated by Partial Differential Equations Lars Ruthotto E. Haber AI4CE 114 490 0 12 Apr 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,099 0 18 May 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 269 19,045 0 20 Dec 2014