Enhancing magnetic resonance imaging-driven Alzheimer’s disease classification performance using generative adversarial learning

MRI Cross-Modality Image-to-Image Translation

(2020) Qianye Yang et al.   Scientific Reports

Development and validation of an interpretable deep learning framework for Alzheimer’s disease classification

(2020) Shangran Qiu et al.   BRAIN

SegSRGAN: Super-resolution and segmentation using generative adversarial networks — Application to neonatal brain MRI

(2020) Quentin Delannoy et al.   COMPUTERS IN BIOLOGY AND MEDICINE

MedSRGAN: medical images super-resolution using generative adversarial networks

(2020) Yuchong Gu et al.   MULTIMEDIA TOOLS AND APPLICATIONS

TumorGAN: A Multi-Modal Data Augmentation Framework for Brain Tumor Segmentation

(2020) Qingyun Li et al.   SENSORS

Subsampled brain MRI reconstruction by generative adversarial neural networks

(2020) Roy Shaul et al.   MEDICAL IMAGE ANALYSIS

Memory-efficient GAN-based domain translation of high resolution 3D medical images

(2020) Hristina Uzunova et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Conditional Generative Adversarial Networks (cGANs) aided motion correction of dynamic 18F-FDG PET brain studies

(2020) Lalith Kumar Shiyam Sundar et al.   JOURNAL OF NUCLEAR MEDICINE

High tissue contrast image synthesis via multistage attention-GAN: Application to segmenting brain MR scans

(2020) Mohammad Hamghalam et al.   NEURAL NETWORKS

Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

(2020) Fatemeh Fahimi et al.   IEEE Transactions on Neural Networks and Learning Systems

Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation

(2019) A. Hagiwara et al.   AMERICAN JOURNAL OF NEURORADIOLOGY

Hippocampal subfields segmentation in brain MR images using generative adversarial networks

(2019) Yonggang Shi et al.   Biomedical Engineering Online

MRI ‐Only Based Synthetic CT Generation Using Dense Cycle Consistent Generative Adversarial Networks

(2019) Yang Lei et al.   MEDICAL PHYSICS

Reconstruction of multicontrast MR images through deep learning

(2019) Won‐Joon Do et al.   MEDICAL PHYSICS

Alzheimer's disease: only prevention makes sense

(2018) José Viña et al.   EUROPEAN JOURNAL OF CLINICAL INVESTIGATION

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

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

Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss

(2018) Tran Minh Quan et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Clinical Trials for Disease-Modifying Therapies in Alzheimer’s Disease: A Primer, Lessons Learned, and a Blueprint for the Future

(2018) Jeffrey Cummings et al.   JOURNAL OF ALZHEIMERS DISEASE

Improving resolution of MR images with an adversarial network incorporating images with different contrast

(2018) Ki Hwan Kim et al.   MEDICAL PHYSICS

The Evolution of Preclinical Alzheimer’s Disease: Implications for Prevention Trials

(2014) Reisa Sperling et al.   NEURON

Making a “Completely Blind” Image Quality Analyzer

(2012) A. Mittal et al.   IEEE SIGNAL PROCESSING LETTERS

No-Reference Image Quality Assessment in the Spatial Domain

(2012) A. Mittal et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Addressing population aging and Alzheimer's disease through the Australian Imaging Biomarkers and Lifestyle study: Collaboration with the Alzheimer's Disease Neuroimaging Initiative

(2010) Kathryn A. Ellis et al.   Alzheimers & Dementia

Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization

(2009) R. C. Petersen et al.   NEUROLOGY

The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods

(2008) Clifford R. Jack et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING