Complex Network for Complex Problems: A comparative study of CNN and
Complex-valued CNN

Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN

9 February 2023

ArXiv (abs)PDF HTML

Papers citing "Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN"

16 / 16 papers shown

Title
ReconResNet: Regularised Residual Learning for MR Image Reconstruction of Undersampled Cartesian and Radial Data S. Chatterjee Mario Breitkopf Chompunuch Sarasaen Hadya Yassin G. Rose A. Nürnberger Oliver Speck 66 27 0 16 Mar 2021
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 100 3,506 0 08 Feb 2021
End-to-End Variational Networks for Accelerated MRI Reconstruction Anuroop Sriram Jure Zbontar Tullie Murrell Aaron Defazio C. L. Zitnick N. Yakubova Florian Knoll Patricia M. Johnson DRL 75 318 0 14 Apr 2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 249 436 0 09 Mar 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space T. Kim Pratyush Garg Justin P. Haldar 65 58 0 20 Apr 2019
Phase-aware Speech Enhancement with Deep Complex U-Net Hyeong-Seok Choi Jang-Hyun Kim Jaesung Huh A. Kim Jung-Woo Ha Kyogu Lee 75 334 0 07 Mar 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 75 850 0 21 Nov 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 141 1,639 0 05 Nov 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 95 190 0 10 May 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 163 5,081 0 11 Apr 2018
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 231 837 0 27 May 2017
Image reconstruction by domain transform manifold learning Bo Zhu Jeremiah Zhe Liu Bruce Rosen Matthew S. Rosen 101 1,536 0 28 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 85 1,548 0 03 Apr 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,520 0 18 May 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.