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Deep Learning for Magnetic Resonance Imaging
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction- Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network
Accelerated MRI Reconstruction with Dual-domain Generative Adversarial Network
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
Joint Multi-Anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions
Modeling and Analysis Brain Development via Discriminative Dictionary Learning
Deep Learning for Computed Tomography
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks
Deep Learning based Metal Inpainting in the Projection Domain: Initial Results
Deep Learning for General Image Reconstruction
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation
Stain Style Transfer using Transitive Adversarial Networks
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer
Deep Learning based approach to quantification of PET tracer uptake in small tumors
Task-GAN: Improving Generative Adversarial Network for Image Reconstruction
Gamma Source Location Learning from Synthetic Multi-Pinhole Collimator Data
Neural Denoising of Ultra-Low Dose Mammography
Image Reconstruction in a Manifold of Image Patches: Application to Whole-fetus Ultrasound Imaging
Image Super Resolution via B ilinear Pooling: Application to Confocal Endomicroscopy
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis
PredictUS: A Method to Extend the Resolution-Precision Trade-off in Quantitative Ultrasound Image Reconstruction.
Recon-GLGAN: A Global-Local context based Generative Adversarial Network for MRI Reconstruction- Self-supervised Recurrent Neural Network for 4D Abdominal and In-utero MR Imaging
Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
APIR-Net: Autocalibrated Parallel Imaging Reconstruction using a Neural Network
Accelerated MRI Reconstruction with Dual-domain Generative Adversarial Network
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator
Joint Multi-Anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions
Modeling and Analysis Brain Development via Discriminative Dictionary Learning
Deep Learning for Computed Tomography
Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks
Deep Learning based Metal Inpainting in the Projection Domain: Initial Results
Deep Learning for General Image Reconstruction
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
Spatiotemporal PET reconstruction using ML-EM with learned diffeomorphic deformation
Stain Style Transfer using Transitive Adversarial Networks
Blind Deconvolution Microscopy Using Cycle Consistent CNN with Explicit PSF Layer
Deep Learning based approach to quantification of PET tracer uptake in small tumors
Task-GAN: Improving Generative Adversarial Network for Image Reconstruction
Gamma Source Location Learning from Synthetic Multi-Pinhole Collimator Data
Neural Denoising of Ultra-Low Dose Mammography
Image Reconstruction in a Manifold of Image Patches: Application to Whole-fetus Ultrasound Imaging
Image Super Resolution via B ilinear Pooling: Application to Confocal Endomicroscopy
TPSDicyc: Improved Deformation Invariant Cross-domain Medical Image Synthesis
PredictUS: A Method to Extend the Resolution-Precision Trade-off in Quantitative Ultrasound Image Reconstruction.