Generative Adversarial Networks in Medical Image augmentation: A review

Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis

(2022) Jianfu Xia et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Synthetic CT image generation of shape-controlled lung cancer using semi-conditional InfoGAN and its applicability for type classification

(2021) Ryo Toda et al.   International Journal of Computer Assisted Radiology and Surgery

Challenges and opportunities for artificial intelligence in oncological imaging

(2021) H.M.C. Cheung et al.   CLINICAL RADIOLOGY

Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification

(2021) Ting Pang et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Mass Image Synthesis in Mammogram with Contextual Information Based on GANs

(2021) Tianyu Shen et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Synthesizing anonymized and labeled TOF-MRA patches for brain vessel segmentation using generative adversarial networks

(2021) Tabea Kossen et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Domain adversarial networks and intensity-based data augmentation for male pelvic organ segmentation in cone beam CT

(2021) Eliott Brion et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Data augmentation using generative adversarial neural networks on brain structural connectivity in multiple sclerosis

(2021) Berardino Barile et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Realistic Lung Nodule Synthesis With Multi-Target Co-Guided Adversarial Mechanism

(2021) Qiuli Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Diverse data augmentation for learning image segmentation with cross-modality annotations

(2021) Xu Chen et al.   MEDICAL IMAGE ANALYSIS

A review on the attention mechanism of deep learning

(2021) Zhaoyang Niu et al.   NEUROCOMPUTING

Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment

(2021) Liyilei Su et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm

(2021) Jianfu Xia et al.   COMPUTERS IN BIOLOGY AND MEDICINE

An effective model for predicting serum albumin level in hemodialysis patients

(2021) Jiao Hu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

(2021) Lie Ju et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Generating Synthetic Labeled Data From Existing Anatomical Models: An Example With Echocardiography Segmentation

(2021) Andrew Gilbert et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

High resolution histopathology image generation and segmentation through adversarial training

(2021) Wenyuan Li et al.   MEDICAL IMAGE ANALYSIS

Using synthetic data generation to train a cardiac motion tag tracking neural network

(2021) Michael Loecher et al.   MEDICAL IMAGE ANALYSIS

CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation

(2021) Runze Wang et al.   MEDICAL IMAGE ANALYSIS

Learning to synthesise the ageing brain without longitudinal data

(2021) Tian Xia et al.   MEDICAL IMAGE ANALYSIS

Optimization of metabolomic data processing using NOREVA

(2021) Jianbo Fu et al.   Nature Protocols

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine

(2021) Jiao Hu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A GAN-based image synthesis method for skin lesion classification

(2020) Zhiwei Qin et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Improving breast mass classification by shared data with domain transformation using a generative adversarial network

(2020) Chisako Muramatsu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method

(2020) Hejun Wu et al.   MEDICAL IMAGE ANALYSIS

NOREVA: enhanced normalization and evaluation of time-course and multi-class metabolomic data

(2020) Qingxia Yang et al.   NUCLEIC ACIDS RESEARCH

Network pharmacology-based prediction of the active ingredients and mechanism of Shen Gui capsule for application to coronary heart disease

(2020) Dan Wang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models

(2020) Shan Jiao et al.   ENERGY

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

(2020) Lennart Bargsten et al.   International Journal of Computer Assisted Radiology and Surgery

Quantum-like mutation-induced dragonfly-inspired optimization approach

(2020) Caiyang Yu et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

Selective synthetic augmentation with HistoGAN for improved histopathology image classification

(2020) Yuan Xue et al.   MEDICAL IMAGE ANALYSIS

Semi-supervised task-driven data augmentation for medical image segmentation

(2020) Krishna Chaitanya et al.   MEDICAL IMAGE ANALYSIS

Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment

(2019) Andres Diaz-Pinto et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

VARIDT 1.0: variability of drug transporter database

(2019) Jiayi Yin et al.   NUCLEIC ACIDS RESEARCH

Synthesis of CT images from digital body phantoms using CycleGAN

(2019) Tom Russ et al.   International Journal of Computer Assisted Radiology and Surgery

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks

(2019) Yuya Onishi et al.   International Journal of Computer Assisted Radiology and Surgery

Generative adversarial network in medical imaging: A review

(2019) Xin Yi et al.   MEDICAL IMAGE ANALYSIS

Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization

(2019) Zhiwei Wang et al.   MEDICAL IMAGE ANALYSIS

Data Augmentation for Brain-Tumor Segmentation: A Review

(2019) Jakub Nalepa et al.   Frontiers in Computational Neuroscience

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation

(2019) Davood Karimi et al.   IEEE Journal of Biomedical and Health Informatics

Review of breast augmentation and reconstruction for the radiologist with emphasis on MRI

(2018) Lauren A. Green et al.   CLINICAL IMAGING

Developing a new intelligent system for the diagnosis of tuberculous pleural effusion

(2018) Chengye Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

End-to-End Adversarial Retinal Image Synthesis

(2018) Pedro Costa et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Synthesizing retinal and neuronal images with generative adversarial nets

(2018) He Zhao et al.   MEDICAL IMAGE ANALYSIS

Clinical Success of Drug Targets Prospectively Predicted by In Silico Study

(2018) Feng Zhu et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification

(2018) Maayan Frid-Adar et al.   NEUROCOMPUTING

Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks

(2018) Hojjat Salehinejad et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

NOREVA: normalization and evaluation of MS-based metabolomics data

(2017) Bo Li et al.   NUCLEIC ACIDS RESEARCH

Therapeutic target database update 2016: enriched resource for bench to clinical drug target and targeted pathway information

(2015) Hong Yang et al.   NUCLEIC ACIDS RESEARCH

Therapeutic target database update 2012: a resource for facilitating target-oriented drug discovery

(2011) F. Zhu et al.   NUCLEIC ACIDS RESEARCH

Clustered patterns of species origins of nature-derived drugs and clues for future bioprospecting

(2011) F. Zhu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA