Highly Scalable Image Reconstruction using Deep Neural Networks with
Bandpass Filtering

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering

8 May 2018

Joseph Y. Cheng

Papers citing "Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering"

15 / 15 papers shown

Title
Explicit Use of Fourier Spectrum in Generative Adversarial Networks Soroush Sheikh Gargar GAN OOD 29 0 0 02 Aug 2022
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction Zongjiang Tu Die Liu Xiaoqing Wang Chenbo Jiang Pengwen Zhu Minghui Zhang Shanshan Wang Dong Liang Qiegen Liu MedIm 38 8 0 08 May 2022
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 47 41 0 17 Sep 2021
Automatic Cell Counting in Flourescent Microscopy Using Deep Learning R. Morelli L. Clissa M. Dalla M. Luppi L. Rinaldi A. Zoccoli 13 4 0 24 Feb 2021
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery Mahmut Yurt Muzaffer Özbey S. Dar Berk Tınaz K. Oguz Tolga Çukur MedIm 33 29 0 27 Nov 2020
Unsupervised MRI Reconstruction with Generative Adversarial Networks Elizabeth K. Cole John M. Pauly S. Vasanawala Frank Ong GAN MedIm 19 50 0 29 Aug 2020
Analysis of Deep Complex-Valued Convolutional Neural Networks for MRI Reconstruction Elizabeth K. Cole Joseph Y. Cheng John M. Pauly S. Vasanawala 21 11 0 03 Apr 2020
Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder Ben Cardoen Ghassan Hamarneh MedIm 3DV 22 92 0 26 Feb 2020
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges Jeffrey Ma Ukash Nakarmi Cedric Yue Sik Kin Christopher M. Sandino Joseph Y. Cheng Ali B. Syed Peter Wei John M. Pauly S. Vasanawala MedIm 12 30 0 05 Dec 2019
Accelerating cardiac cine MRI using a deep learning-based ESPIRiT reconstruction Christopher M. Sandino P. Lai S. Vasanawala Joseph Y. Cheng 16 3 0 13 Nov 2019
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model Mario O. Malavé C. Baron Srivathsan P. Koundinyan Christopher M. Sandino Frank Ong Joseph Y. Cheng D. Nishimura 18 42 0 24 Oct 2019
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 41 64 0 15 Oct 2019
Compressed Sensing: From Research to Clinical Practice with Data-Driven Learning Joseph Y. Cheng Feiyu Chen Christopher M. Sandino Morteza Mardani John M. Pauly S. Vasanawala 16 12 0 19 Mar 2019
Physics-based Learned Design: Optimized Coded-Illumination for Quantitative Phase Imaging Michael R. Kellman E. Bostan N. Repina Laura Waller 17 125 0 10 Aug 2018
A Transfer-Learning Approach for Accelerated MRI using Deep Neural Networks S. Dar Muzaffer Özbey Ahmet Burak Çatlı Tolga Çukur MedIm OOD 20 165 0 07 Oct 2017