Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET

Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset

(2019) Mingjie Xu et al.   Biomedical Engineering Online

Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks

(2019) João Otávio Bandeira Diniz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification

(2019) Shiwen Shen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Removing ring artifacts in CBCT images via generative adversarial networks with unidirectional relative total variation loss

(2019) Zheng Wang et al.   NEURAL COMPUTING & APPLICATIONS

Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks

(2019) Yuya Onishi et al.   Biomed Research International

Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images

(2019) Lijun Zhao et al.   JOURNAL OF DIGITAL IMAGING

Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging

(2018) Hongyoon Choi et al.   BEHAVIOURAL BRAIN RESEARCH

Hybrid-feature-guided lung nodule type classification on CT images

(2018) Jingjing Yuan et al.   COMPUTERS & GRAPHICS-UK

Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans

(2018) Naofumi Tomita et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on 68Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods

(2018) Lina Xu et al.   Contrast Media & Molecular Imaging

Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks

(2018) Eli Gibson et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning

(2018) Pietro Nardelli et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography

(2018) Yanbo Zhang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

(2018) Qingsong Yang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network

(2018) Hongming Shan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting

(2018) Kyungsang Kim et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT

(2018) Yutong Xie et al.   Information Fusion

Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images

(2018) Anum Masood et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Sharpness-Aware Low-Dose CT Denoising Using Conditional Generative Adversarial Network

(2018) Xin Yi et al.   JOURNAL OF DIGITAL IMAGING

The first MICCAI challenge on PET tumor segmentation

(2018) Mathieu Hatt et al.   MEDICAL IMAGE ANALYSIS

Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation

(2018) Hansang Lee et al.   MEDICAL PHYSICS

3D conditional generative adversarial networks for high-quality PET image estimation at low dose

(2018) Yan Wang et al.   NEUROIMAGE

Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

(2018) Antonio Oseas de Carvalho Filho et al.   PATTERN RECOGNITION

Multi-view multi-scale CNNs for lung nodule type classification from CT images

(2018) Xinglong Liu et al.   PATTERN RECOGNITION

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study

(2018) Paul Blanc-Durand et al.   PLoS One

Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer

(2018) Tim Lustberg et al.   RADIOTHERAPY AND ONCOLOGY

Fully automatic detection of renal cysts in abdominal CT scans

(2018) Neta Blau et al.   International Journal of Computer Assisted Radiology and Surgery

Agile convolutional neural network for pulmonary nodule classification using CT images

(2018) Xinzhuo Zhao et al.   International Journal of Computer Assisted Radiology and Surgery

Classification of Alzheimer’s Disease by Combination of Convolutional and Recurrent Neural Networks Using FDG-PET Images

(2018) Manhua Liu et al.   Frontiers in Neuroinformatics

Structurally-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

(2018) Chenyu You et al.   IEEE Access

The role of deep learning and radiomic feature extraction in cancer-specific predictive modelling: a review

(2018) Alanna Vial et al.   Translational Cancer Research

Deep Learning Renal Segmentation for Fully Automated Radiation Dose Estimation in Unsealed Source Therapy

(2018) Price Jackson et al.   Frontiers in Oncology

Automatic Localization of Normal Active Organs in 3D PET Scans

(2018) Saeedeh Afshari et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images

(2018) Sarah E. Gerard et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation

(2018) Kuang Gong et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data

(2018) Jiri Chmelik et al.   MEDICAL IMAGE ANALYSIS

Iterative quality enhancement via residual-artifacts learning networks for low-dose CT

(2018) Yongbo Wang et al.   PHYSICS IN MEDICINE AND BIOLOGY

Deep Learning and Radiomics predict complete response after neo-adjuvant chemoradiation for locally advanced rectal cancer

(2018) Jean-Emmanuel Bibault et al.   Scientific Reports

Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques

(2018) Jinhan Zhu et al.   ACTA ONCOLOGICA

Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study

(2018) Bin Huang et al.   Contrast Media & Molecular Imaging

Automated detection of lung cancer at ultralow dose PET/CT by deep neural networks – Initial results

(2018) Moritz Schwyzer et al.   LUNG CANCER

High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains

(2018) Donghoon Lee et al.   MEDICAL PHYSICS

Real-time scatter estimation for medical CT using the deep scatter estimation: Method and robustness analysis with respect to different anatomies, dose levels, tube voltages, and data truncation

(2018) Joscha Maier et al.   MEDICAL PHYSICS

Automated pulmonary nodule detection in CT images using deep convolutional neural networks

(2018) Hongtao Xie et al.   PATTERN RECOGNITION

Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method

(2018) Hwejin Jung et al.   BMC MEDICAL IMAGING

Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions

(2018) Chunfeng Lian et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Optimal deep learning model for classification of lung cancer on CT images

(2018) Lakshmanaprabu S.K. et al.   Future Generation Computer Systems-The International Journal of eScience

Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection

(2018) Avi Ben-Cohen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of Lymph Node Maximum Standardized Uptake Value in Patients With Cancer Using a 3D Convolutional Neural Network: A Proof-of-Concept Study

(2018) Hiram Shaish et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques

(2018) Amita Das et al.   Cognitive Systems Research

Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

(2018) Yutong Xie et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

PET Image Reconstruction Using Deep Image Prior

(2018) Kuang Gong et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography

(2018) Majd Zreik et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An Accurate CT Saturation Classification Using a Deep Learning Approach Based on Unsupervised Feature Extraction and Supervised Fine-Tuning Strategy

(2017) Muhammad Ali et al.   Energies

Pulmonary nodule diagnosis using dual-modal supervised autoencoder based on extreme learning machine

(2017) Yan Qiang et al.   EXPERT SYSTEMS

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling

(2017) Amal Farag et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

ConvNet-Based Localization of Anatomical Structures in 3-D Medical Images

(2017) Bob D. de Vos et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2017) Hu Chen 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

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

(2017) Florin Cristian Ghesu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Deep Learning in Medical Imaging: General Overview

(2017) June-Goo Lee et al.   KOREAN JOURNAL OF RADIOLOGY

3D deeply supervised network for automated segmentation of volumetric medical images

(2017) Qi Dou et al.   MEDICAL IMAGE ANALYSIS

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Deep reinforcement learning for automated radiation adaptation in lung cancer

(2017) Huan-Hsin Tseng et al.   MEDICAL PHYSICS

Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method

(2017) Xiangrong Zhou et al.   MEDICAL PHYSICS

Esophagus segmentation in CT via 3D fully convolutional neural network and random walk

(2017) Tobias Fechter et al.   MEDICAL PHYSICS

Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks

(2017) Kuo Men et al.   MEDICAL PHYSICS

Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks

(2017) Bulat Ibragimov et al.   MEDICAL PHYSICS

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

(2017) Eunhee Kang et al.   MEDICAL PHYSICS

Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI

(2017) Lei Xiang et al.   NEUROCOMPUTING

Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification

(2017) Wei Shen et al.   PATTERN RECOGNITION

Combining deep learning with anatomy analysis for segmentation of portal vein for liver SBRT planning

(2017) Bulat Ibragimov et al.   PHYSICS IN MEDICINE AND BIOLOGY

Deep reconstruction model for dynamic PET images

(2017) Jianan Cui et al.   PLoS One

aLow-dose CT via convolutional neural network

(2017) Hu Chen et al.   Biomedical Optics Express

Automatic detection of new tumors and tumor burden evaluation in longitudinal liver CT scan studies

(2017) R. Vivanti et al.   International Journal of Computer Assisted Radiology and Surgery

Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images

(2017) QingZeng Song et al.   Journal of Healthcare Engineering

Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images

(2017) Hongkai Wang et al.   EJNMMI Research

Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

(2017) Kenny H. Cha et al.   Scientific Reports

Image descriptors in radiology images: a systematic review

(2016) Mariana A. Nogueira et al.   ARTIFICIAL INTELLIGENCE REVIEW

Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machines

(2016) Gijs van Tulder et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

(2016) Hayit Greenspan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart Recognition

(2016) Zhennan Yan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks

(2016) Arnaud Arindra Adiyoso Setio et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Improving Computer-Aided Detection Using_newlineConvolutional Neural Networks and Random View Aggregation

(2016) Holger R. Roth et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks

(2016) Jelmer M. Wolterink et al.   MEDICAL IMAGE ANALYSIS

Urinary bladder segmentation in CT urography using deep-learning convolutional neural network and level sets

(2016) Kenny H. Cha et al.   MEDICAL PHYSICS

Automated detection of pulmonary nodules in PET/CT images: Ensemble false-positive reduction using a convolutional neural network technique

(2016) Atsushi Teramoto et al.   MEDICAL PHYSICS

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

(2016) Jie-Zhi Cheng et al.   Scientific Reports

Positron Emission Tomography: Current Challenges and Opportunities for Technological Advances in Clinical and Preclinical Imaging Systems

(2015) Juan José Vaquero et al.   Annual Review of Biomedical Engineering

Computer-aided detection of exophytic renal lesions on non-contrast CT images

(2015) Jianfei Liu et al.   MEDICAL IMAGE ANALYSIS

Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box

(2015) Francesco Ciompi et al.   MEDICAL IMAGE ANALYSIS

Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications

(2015) Cynthia H. McCollough et al.   RADIOLOGY

Computer-aided classification of lung nodules on computed tomography images via deep learning technique

(2015) Yu-Jen Yu-Jen Chen et al.   OncoTargets and Therapy

Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks

(2015) Petros-Pavlos Ypsilantis et al.   PLoS One

Automatic Segmentation of Anatomical Structures from CT Scans of Thorax for RTP

(2014) Emin Emrah Özsavaş et al.   Computational and Mathematical Methods in Medicine

Max-Ordinal Learning

(2014) Ines Domingues et al.   IEEE Transactions on Neural Networks and Learning Systems

CT Radiation Dose: Current Controversies and Dose Reduction Strategies

(2013) Justin E. Costello et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Computer-Aided Detection and Diagnosis in Medical Imaging

(2013) Chung-Ming Chen et al.   Computational and Mathematical Methods in Medicine

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Training restricted Boltzmann machines: An introduction

(2013) Asja Fischer et al.   PATTERN RECOGNITION

Basics and principles of radiopharmaceuticals for PET/CT

(2010) W. Wadsak et al.   EUROPEAN JOURNAL OF RADIOLOGY

Radiation Exposure From Medical Imaging

(2010) David J. Brenner et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Radiation Risk From Medical Imaging

(2010) Eugene C. Lin   MAYO CLINIC PROCEEDINGS

Fundamental limits of spatial resolution in PET

(2010) William W. Moses   NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT

Positron Emission Tomography/Computed Tomography

(2008) David W. Townsend   SEMINARS IN NUCLEAR MEDICINE