Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning

17 December 2017

Papers citing "Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning"

6 / 6 papers shown

Title
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas Maier OOD 22 14 0 01 Feb 2022
AFP-SRC: Identification of Antifreeze Proteins Using Sparse Representation Classifier Shujaat Khan Muhammad Usman Abdul Wahab 30 12 0 11 Sep 2020
Deep Learning for Biomedical Image Reconstruction: A Survey Hanene Ben Yedder Ben Cardoen Ghassan Hamarneh MedIm 3DV 24 93 0 26 Feb 2020
AFP-CKSAAP: Prediction of Antifreeze Proteins Using Composition of k-Spaced Amino Acid Pairs with Deep Neural Network Muhammad Usman Jeong-A Lee 17 18 0 11 Sep 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 13 239 0 04 Apr 2019
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 186 2,946 0 15 Dec 2014