3D Deep Learning on Medical Images: A Review

Single-Pixel Imaging and Its Application in Three-Dimensional Reconstruction: A Brief Review

(2019) Ming-Jie Sun et al.   SENSORS

Pulmonary Nodule Detection in CT Scans with Equivariant CNNs

(2019) Marysia Winkels et al.   MEDICAL IMAGE ANALYSIS

Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images

(2019) Juan Zhou et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

OBELISK-Net: Fewer layers to solve 3D multi-organ segmentation with sparse deformable convolutions

(2019) Mattias P. Heinrich et al.   MEDICAL IMAGE ANALYSIS

Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans

(2019) Justin Ker et al.   SENSORS

Automated pulmonary nodule detection in CT images using 3D deep squeeze-and-excitation networks

(2019) Li Gong et al.   International Journal of Computer Assisted Radiology and Surgery

3D whole brain segmentation using spatially localized atlas network tiles

(2019) Yuankai Huo et al.   NEUROIMAGE

Multi‐Scale 3D U‐Nets: An approach to automatic segmentation of brain tumor

(2019) Suting Peng et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Automatic multi‐organ segmentation in dual‐energy CT (DECT) with dedicated 3D fully convolutional DECT networks

(2019) Shuqing Chen et al.   MEDICAL PHYSICS

Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning

(2019) Kanghan Oh et al.   Scientific Reports

Unsupervised 3D End-to-End Medical Image Registration With Volume Tweening Network

(2019) Shengyu Zhao et al.   IEEE Journal of Biomedical and Health Informatics

An application of cascaded 3D fully convolutional networks for medical image segmentation

(2018) Holger R. Roth et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?

(2018) Neil Mehta et al.   JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY

Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

(2018) Shui-Hua Wang et al.   JOURNAL OF MEDICAL SYSTEMS

OUP accepted manuscript

(2018)   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography

(2018) Ruobing Huang et al.   MEDICAL IMAGE ANALYSIS

3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

(2018) Xiaomeng Li et al.   MEDICAL IMAGE ANALYSIS

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

(2018) Afshine Amidi et al.   PeerJ

Deep Learning Applications in Medical Image Analysis

(2018) Justin Ker et al.   IEEE Access

Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement

(2018) Richard Ha et al.   JOURNAL OF DIGITAL IMAGING

Automatic lung nodule detection using a 3D deep convolutional neural network combined with a multi-scale prediction strategy in chest CTs

(2018) Yu Gu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier

(2018) Jelmer M. Wolterink et al.   MEDICAL IMAGE ANALYSIS

3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI

(2018) Florian Dubost et al.   MEDICAL IMAGE ANALYSIS

fMRIPrep: a robust preprocessing pipeline for functional MRI

(2018) Oscar Esteban et al.   NATURE METHODS

Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients

(2018) Max Blendowski et al.   International Journal of Computer Assisted Radiology and Surgery

Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative

(2018) Felix Ambellan et al.   MEDICAL IMAGE ANALYSIS

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

3-D Convolutional Neural Networks for Automatic Detection of Pulmonary Nodules in Chest CT

(2018) Aria Pezeshk et al.   IEEE Journal of Biomedical and Health Informatics

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

(2017) Qi Dou et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model

(2017) Jian Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

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

Optimal slice timing correction and its interaction with fMRI parameters and artifacts

(2017) David Parker et al.   MEDICAL IMAGE ANALYSIS

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

(2017) Qi Dou et al.   MEDICAL IMAGE ANALYSIS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Deep-learning-based ghost imaging

(2017) Meng Lyu et al.   Scientific Reports

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

(2016) Qi Dou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An Improved CAD System for Breast Cancer Diagnosis Based on Generalized Pseudo-Zernike Moment and Ada-DEWNN Classifier

(2016) Satya P. Singh et al.   JOURNAL OF MEDICAL SYSTEMS

Feature selection methods for big data bioinformatics: A survey from the search perspective

(2016) Lipo Wang et al.   METHODS

Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM

(2016) Ruth Pauli et al.   Frontiers in Neuroinformatics

Big Data Deep Learning: Challenges and Perspectives

(2014) Xue-Wen Chen et al.   IEEE Access

The Design of SimpleITK

(2013) Bradley C. Lowekamp et al.   Frontiers in Neuroinformatics

3D Convolutional Neural Networks for Human Action Recognition

(2012) Shuiwang Ji et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

BrainVoyager — Past, present, future

(2012) Rainer Goebel   NEUROIMAGE

Virtual Monochromatic Spectral Imaging with Fast Kilovoltage Switching: Improved Image Quality as Compared with That Obtained with Conventional 120-kVp CT

(2011) Kazuhiro Matsumoto et al.   RADIOLOGY

Machine Learning in Medical Imaging

(2010) Miles Wernick et al.   IEEE SIGNAL PROCESSING MAGAZINE

elastix: A Toolbox for Intensity-Based Medical Image Registration

(2009) S. Klein et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Health Insurers and Medical-Imaging Policy — A Work in Progress

(2009) John K. Iglehart   NEW ENGLAND JOURNAL OF MEDICINE

Low-Tube-Voltage, High-Tube-Current Multidetector Abdominal CT: Improved Image Quality and Decreased Radiation Dose with Adaptive Statistical Iterative Reconstruction Algorithm—Initial Clinical Experience

(2009) Daniele Marin et al.   RADIOLOGY

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE