Related references
Note: Only part of the references are listed.Generative Adversarial Networks Can Create High Quality Artificial Prostate Cancer Magnetic Resonance Images
Isaac R. L. Xu et al.
JOURNAL OF PERSONALIZED MEDICINE (2023)
Comparison of Image Normalization Methods for Multi-Site Deep Learning
Steffen Albert et al.
APPLIED SCIENCES-BASEL (2023)
Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation
Seul Bi Lee et al.
KOREAN JOURNAL OF RADIOLOGY (2023)
Machine learning predictive models for acute pancreatitis: A systematic review
You Zhou et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2022)
Machine Learning in Prostate MRI for Prostate Cancer: Current Status and Future Opportunities
Huanye Li et al.
DIAGNOSTICS (2022)
Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network
Li-Yin Ye et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2022)
Asymptomatic COVID-19 CT image denoising method based on wavelet transform combined with improved PSO
Guowei Wang et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2022)
An inception-based deep multiparametric net to classify clinical significance MRI regions of prostate cancer
Yesid Gutierrez et al.
PHYSICS IN MEDICINE AND BIOLOGY (2022)
Computer-aided diagnosis of prostate cancer based on deep neural networks from multi-parametric magnetic resonance imaging
Zhenglin Yi et al.
FRONTIERS IN PHYSIOLOGY (2022)
Prostate cancer classification with MRI using Taylor-Bird Squirrel Optimization based Deep Recurrent Neural Network
Goddumarri Vijay Kumar et al.
IMAGING SCIENCE JOURNAL (2022)
Automatic Detection of Prostate Cancer Systemic Lesions Based on Deep Learning and Ga-68-PSMA-11 PET/CT
Shaonan Zhong et al.
2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (2022)
Importance of CT image normalization in radiomics analysis: prediction of 3-year recurrence-free survival in non-small cell lung cancer
Doohyun Park et al.
EUROPEAN RADIOLOGY (2022)
A 3D-2D Hybrid U-Net Convolutional Neural Network Approach to Prostate Organ Segmentation of Multiparametric MR
Alexander Ushinsky et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2021)
A new approach to diagnosing prostate cancer through magnetic resonance imaging
Li Zhang et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
3D PBV-Net: An automated prostate MRI data segmentation method
Yao Jin et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
Deep learning framework based on integration of S-Mask R-CNN and Inception-v3 for ultrasound image-aided diagnosis of prostate cancer
Zhiyong Liu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)
Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks
Yabo Fu et al.
MEDICAL PHYSICS (2021)
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
A clinical decision support system for predicting cirrhosis stages via high frequency ultrasound images
Xiang Liu et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
Deep Learning Whole-Gland and Zonal Prostate Segmentation on a Public MRI Dataset
Renato Cuocolo et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2021)
Automated detection of aggressive and indolent prostate cancer on magnetic resonance imaging
Arun Seetharaman et al.
MEDICAL PHYSICS (2021)
MR to ultrasound image registration with segmentation-based learning for HDR prostate brachytherapy
Yizheng Chen et al.
MEDICAL PHYSICS (2021)
Prostate Cancer Aggressiveness Prediction Using CT Images
Bruno Mendes et al.
LIFE-BASEL (2021)
Denoising of magnetic resonance imaging using Bayes shrinkage based fused wavelet transform and autoencoder based deep learning approach
Mamta Juneja et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Computer auxiliary diagnosis technique of detecting cholangiocarcinoma based on medical imaging: A review
Shiyu Wang et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2021)
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images
Kelei He et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2021)
The need to separate the wheat from the chaff in medical informatics Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
Federico Cabitza et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2021)
THE EFFECT OF PREPROCESSING ON CONVOLUTIONAL NEURAL NETWORKS FOR MEDICAL IMAGE SEGMENTATION
K. B. de Raad et al.
2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) (2021)
Intensity Normalization of Prostate MRIs using Conditional Generative Adversarial Networks for Cancer Detection
Thomas DeSilvio et al.
MEDICAL IMAGING 2021: COMPUTER-AIDED DIAGNOSIS (2021)
Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network
Nader Aldoj et al.
EUROPEAN RADIOLOGY (2020)
CT prostate segmentation based on synthetic MRI-aided deep attention fully convolution network
Yang Lei et al.
MEDICAL PHYSICS (2020)
Altered Patterns of Phase Position Connectivity in Default Mode Subnetwork of Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment
Chunting Cai et al.
FRONTIERS IN NEUROSCIENCE (2020)
Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images
Nathan Orlando et al.
MEDICAL PHYSICS (2020)
Attention-guided CNN for image denoising
Chunwei Tian et al.
NEURAL NETWORKS (2020)
Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy
Qiulan Zeng et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
Generative Adversarial Networks
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM (2020)
A novel method for accurate extraction of liver capsule and auxiliary diagnosis of liver cirrhosis based on high-frequency ultrasound images
Yiwen Liu et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Synthesis of Prostate MR Images for Classification Using Capsule Network-Based GAN Model
Houqiang Yu et al.
SENSORS (2020)
FFA-DMRI: A Network Based on Feature Fusion and Attention Mechanism for Brain MRI Denoising
Dan Hong et al.
FRONTIERS IN NEUROSCIENCE (2020)
Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network
Mizuho Nishio et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Accelerating Prostate Diffusion-weighted MRI Using a Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study
Elena A. Kaye et al.
RADIOLOGY-ARTIFICIAL INTELLIGENCE (2020)
A Deep Learning Approach for Targeted Contrast-Enhanced Ultrasound Based Prostate Cancer Detection
Yujie Feng et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)
A survey of denoising techniques for multi-parametric prostate MRI
Gaurav Garg et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2019)
Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method
Xiangde Min et al.
EUROPEAN JOURNAL OF RADIOLOGY (2019)
Dose evaluation of MRI-based synthetic CT generated using a machine learning method for prostate cancer radiotherapy
Ghazal Shafai-Erfani et al.
Medical Dosimetry (2019)
Ultrasound prostate segmentation based on multidirectional deeply supervised V-Net
Yang Lei et al.
MEDICAL PHYSICS (2019)
Computed Tomography-based Radiomics for Risk Stratification in Prostate Cancer
Sarah O. S. Osman et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2019)
Laplacian Eigenmaps Network-Based Nonlocal Means Method for MR Image Denoising
Houqiang Yu et al.
SENSORS (2019)
Edge-preserving image denoising using a deep convolutional neural network
Hamid Reza Shandoosti et al.
SIGNAL PROCESSING (2019)
Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment
Andres Diaz-Pinto et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images
Byeongjoon Kim et al.
MEDICAL PHYSICS (2019)
A Deep Learning-Based Approach for the Detection and Localization of Prostate Cancer in T2 Magnetic Resonance Images
Ruba Alkadi et al.
JOURNAL OF DIGITAL IMAGING (2019)
Fully automatic segmentation on prostate MR images based on cascaded fully convolution network
Yi Zhu et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2019)
Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
Yi Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
The practical implementation of artificial intelligence technologies in medicine
Jianxing He et al.
NATURE MEDICINE (2019)
Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer
Hamid Abdollahi et al.
RADIOLOGIA MEDICA (2019)
Generative adversarial network in medical imaging: A review
Xin Yi et al.
MEDICAL IMAGE ANALYSIS (2019)
Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment
Patrick Schelb et al.
RADIOLOGY (2019)
Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI
Xinran Zhong et al.
ABDOMINAL RADIOLOGY (2019)
Prostate Cancer Detection using Deep Convolutional Neural Networks
Sunghwan Yoo et al.
SCIENTIFIC REPORTS (2019)
Combined Low-dose Simulation and Deep Learning for CT Denoising: Application in Ultra-low-dose Chest CT
Chulkyun Ahn et al.
INTERNATIONAL FORUM ON MEDICAL IMAGING IN ASIA 2019 (2019)
FMRI DATA AUGMENTATION VIA SYNTHESIS
Peiye Zhuang et al.
2019 IEEE 16TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2019) (2019)
CROSS-MODALITY AUGMENTATION OF BRAIN MR IMAGES USING A NOVEL PAIRWISE GENERATIVE ADVERSARIAL NETWORK FOR ENHANCED GLIOMA CLASSIFICATION
Chenjie Ge et al.
2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2019)
A Data Augmentation-Based Framework to Handle Class Imbalance Problem for Alzheimer's Stage Detection
Sitara Afzal et al.
IEEE ACCESS (2019)
Cancer Statistics, 2018
Rebecca L. Siegel et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
Fabrication and Performance of a Miniaturized and Integrated Endoscope Ultrasound Convex Array for Digestive Tract Imaging
Jue Peng et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018)
ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation
Eduardo Romera et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2018)
Radiomic Features on MRI Enable Risk Categorization of Prostate Cancer Patients on Active Surveillance: Preliminary Findings
Ahmad Algohary et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)
Artificial Intelligence in Cardiology
Kipp W. Johnson et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2018)
Weakly-supervised convolutional neural networks for multimodal image registration
Yipeng Hu et al.
MEDICAL IMAGE ANALYSIS (2018)
A semiautomatic segmentation method for prostate in CT images using local texture classification and statistical shape modeling
Maysam Shahedi et al.
MEDICAL PHYSICS (2018)
Automatic Segmentation of the Prostate on 3D CT Images by Using Multiple Deep Learning Networks
Jiayang Xiong et al.
2018 5TH INTERNATIONAL CONFERENCE ON BIOMEDICAL AND BIOINFORMATICS ENGINEERING (ICBBE 2018) (2018)
PSNet: prostate segmentation on MRI based on a convolutional neural network
Zhiqiang Tian et al.
JOURNAL OF MEDICAL IMAGING (2018)
Comparison of lesions detected and undetected by template-guided transperineal saturation prostate biopsy
Zhipeng Mai et al.
BJU INTERNATIONAL (2018)
Fully automated organ segmentation in male pelvic CT images
Anjali Balagopal et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Kai Zhang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2017)
Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI
Xin Yang et al.
MEDICAL IMAGE ANALYSIS (2017)
A combined learning algorithm for prostate segmentation on 3D CT images
Ling Ma et al.
MEDICAL PHYSICS (2017)
Learning to Diagnose Cirrhosis with Liver Capsule Guided Ultrasound Image Classification
Xiang Liu et al.
SENSORS (2017)
Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification
Bodo Rueckauer et al.
FRONTIERS IN NEUROSCIENCE (2017)
Artificial intelligence in healthcare: past, present and future
Fei Jiang et al.
STROKE AND VASCULAR NEUROLOGY (2017)
Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015 A Systematic Analysis for the Global Burden of Disease Study
Christina Fitzmaurice et al.
JAMA ONCOLOGY (2017)
Support Vector Machines for Prostate Lesion Classification in the ProstateX Challenge
Andy Kitchen et al.
MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS (2017)
Prostate Cancer Diagnosis using Deep Learning with 3D Multiparametric MRI
Saifeng Liu et al.
MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS (2017)
A Transfer learning approach for classification of clinical significant prostate cancers from mpMRI scans
Quan Chen et al.
MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS (2017)
Automatic segmentation of the prostate on CT images using deep learning and multi-atlas fusion
Ling Ma et al.
MEDICAL IMAGING 2017: IMAGE PROCESSING (2017)
Speckle reduction in medical ultrasound images using an unbiased non-local means method
P. V. Sudeep et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2016)
A novel approach for quantification of time-intensity curves in a DCE-MRI image series with an application to prostate cancer
Anna Fabijanska
COMPUTERS IN BIOLOGY AND MEDICINE (2016)
Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images
Sergio Pereira et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Gland and Zonal Segmentation of Prostate on T2W MR Images
O. Chilali et al.
JOURNAL OF DIGITAL IMAGING (2016)
Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image
Jian Yang et al.
NEUROCOMPUTING (2016)
A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic
Valentina Giannini et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2015)
Segmentation of prostate from CT scans using a combined voxel random forests classification with spherical harmonics regularization
F. Commandeur et al.
10TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS (2015)
Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts
Dwarikanath Mahapatra et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2014)
Medical image processing on the GPU - Past, present and future
Anders Eklund et al.
MEDICAL IMAGE ANALYSIS (2013)
Detection of recurrent prostate cancer with 18F-fluorocholine PET/CT in relation to PSA level at the time of imaging
Sandi A. Kwee et al.
ANNALS OF NUCLEAR MEDICINE (2012)
Improved DCT-Based Nonlocal Means Filter for MR Images Denoising
Jinrong Hu et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2012)
A CURE for Noisy Magnetic Resonance Images: Chi-Square Unbiased Risk Estimation
Florian Luisier et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)
Multifeature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation
Robert Toth et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2012)
New methods for MRI denoising based on sparseness and self-similarity
Jose V. Manjon et al.
MEDICAL IMAGE ANALYSIS (2012)
Edge preserved image enhancement using adaptive fusion of images denoised by wavelet and curvelet transform
G. G. Bhutada et al.
DIGITAL SIGNAL PROCESSING (2011)
Modelling Prostate Motion for Data Fusion During Image-Guided Interventions
Yipeng Hu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2011)
Discrete Deformable Model Guided by Partial Active Shape Model for TRUS Image Segmentation
Pingkun Yan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Prostate Cancer Detection With Multi-parametric MRI: Logistic Regression Analysis of Quantitative T2, Diffusion-Weighted Imaging, and Dynamic Contrast-Enhanced MRI
Deanna L. Langer et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2009)
Multidisciplinary Functional MR Imaging for Prostate Cancer
Jeong Kon Kim et al.
KOREAN JOURNAL OF RADIOLOGY (2009)
Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information
Stefan Klein et al.
MEDICAL PHYSICS (2008)
A review of image denoising algorithms, with a new one
A Buades et al.
MULTISCALE MODELING & SIMULATION (2005)
Parametric shape modeling using deformable superellipses for prostate segmentation
LX Gong et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2004)
Share Paper
