A Survey of Soft Computing Approaches in Biomedical Imaging

Medical image segmentation algorithm based on multilayer boundary perception-self attention deep learning model

(2021) Feng-Ping An et al.   MULTIMEDIA TOOLS AND APPLICATIONS

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

(2021) Jaeyong Kang et al.   SENSORS

CT Image Segmentation Method of Liver Tumor Based on Artificial Intelligence Enabled Medical Imaging

(2021) Liping Liu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Deep learning based image reconstruction algorithm for limited-angle translational computed tomography

(2020) Jiaxi Wang et al.   PLoS One

Limited angle tomography for transmission X-ray microscopy using deep learning

(2020) Yixing Huang et al.   JOURNAL OF SYNCHROTRON RADIATION

A novel super-resolution CT image reconstruction via semi-supervised generative adversarial network

(2020) Xin Jiang et al.   NEURAL COMPUTING & APPLICATIONS

Low-dose CT with deep learning regularization via proximal forward backward splitting

(2020) Qiaoqiao Ding et al.   PHYSICS IN MEDICINE AND BIOLOGY

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

J-MoDL: Joint Model-Based Deep Learning for Optimized Sampling and Reconstruction

(2020) Hemant Kumar Aggarwal et al.   IEEE Journal of Selected Topics in Signal Processing

Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems

(2020) Il Yong Chun et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction

(2019) Dufan Wu et al.   MEDICAL PHYSICS

Adaptive fuzzy hexagonal bilateral filter for brain MRI denoising

(2019) Kala R et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Fully Symmetric Convolutional Network for Effective Image Denoising

(2019) Steffi Priyanka et al.   Applied Sciences-Basel

An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

(2019) Johnatan Carvalho Souza et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

MR image reconstruction using deep learning: evaluation of network structure and loss functions

(2019) Vahid Ghodrati et al.   Quantitative Imaging in Medicine and Surgery

Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction

(2019) Hyunkwang Lee et al.   Scientific Reports

CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)

(2019) Chenyu You et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction

(2018) Xuehang Zheng et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

CNN-Based Projected Gradient Descent for Consistent CT Image Reconstruction

(2018) Harshit Gupta et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Comparative Approach of MRI-Based Brain Tumor Segmentation and Classification Using Genetic Algorithm

(2018) Nilesh Bhaskarrao Bahadure et al.   JOURNAL OF DIGITAL IMAGING

Low-dose CT image reconstruction using gain intervention-based dictionary learning

(2018) Yadunath Pathak et al.   MODERN PHYSICS LETTERS B

A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography

(2018) Zenghui Wei et al.   IEEE Access

Deep Generative Adversarial Neural Networks for Compressive Sensing (GANCS) MRI

(2018) Morteza Mardani et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Learning deconvolutional deep neural network for high resolution medical image reconstruction

(2018) Hui Liu et al.   INFORMATION SCIENCES

Convolutional Neural Networks for Inverse Problems in Imaging: A Review

(2017) Michael T. McCann et al.   IEEE SIGNAL PROCESSING MAGAZINE

Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

(2017) Hu Chen et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network

(2017) Dufan Wu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Generative Adversarial Networks for Noise Reduction in Low-Dose CT

(2017) Jelmer M. Wolterink et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Solving ill-posed inverse problems using iterative deep neural networks

(2017) Jonas Adler et al.   INVERSE PROBLEMS

A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction

(2017) Eunhee Kang et al.   MEDICAL PHYSICS

aLow-dose CT via convolutional neural network

(2017) Hu Chen et al.   Biomedical Optics Express

Soft Computing in Medical Image Processing

(2016) Syoji Kobashi et al.   Computational and Mathematical Methods in Medicine

Fuzzy-based artificial bee colony optimization for gray image segmentation

(2016) Ankita Bose et al.   Signal Image and Video Processing

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Fast Tomographic Reconstruction From Limited Data Using Artificial Neural Networks

(2013) Daniel Maria Pelt et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multi-objective GA optimization of fuzzy penalty for image reconstruction from projections in X-ray tomography

(2011) A.M.T. Gouicem et al.   DIGITAL SIGNAL PROCESSING

Colour image segmentation using fuzzy clustering techniques and competitive neural network

(2010) B. Sowmya et al.   APPLIED SOFT COMPUTING

A 2D approach to tomographic image reconstruction using a Hopfield-type neural network

(2008) Robert Cierniak   ARTIFICIAL INTELLIGENCE IN MEDICINE