MICCAI 2018 - Reconstruction and Image Quality

M-1	Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear
M-2	Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising
M-3	Deep Convolutional Filtering for Spatio-temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI
M-4	DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning
M-5	Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss
M-6	Short Acquisition Time PET/MR Pharmacokinetic Modelling using CNNs
M-7	Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?
M-8	A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging
M-9	Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors
M-10	A No-Reference Retinal Vessel Tree Segmentation Quality Metric
M-11	Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D MultiLevel Densely Connected Network
M-12	A Deep Learning based Anti-aliasing Self Super-resolution Algorithm for Magnetic Resonance Imaging
M-13	Gradient Profile Based Super Resolution of MR Images with Induced Sparsity
M-14	Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images
M-15	High Frame-rate Cardiac Ultrasound Imaging with Deep Learning
M-16	Phase-Sensitive Region-of-Interest Computed Tomography
M-17	Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
M-18	Adversarial Sparse-View CBCT Artifact Reduction
M-19	Nasal Mesh Unfolding—an Approach to Obtaining 2-D Skin Templates from 3-D Nose Models
M-20	Towards Generating Personalized Volumetric Phantom from Patient's Surface Geometry
M-21	Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space
M-22	A Learning-based Metal Artifacts Correction Method for MRI using Dual-Polarity Readout Gradients and Simulated Data
M-23	Motion Aware MR Imaging via Spatial Core Correspondence
M-24	Nonparametric Density Flows for MRI Intensity Normalisation
M-25	Ultra-fast T2-weighted MR Reconstruction using Complementary T1-weighted Information
M-26	Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion
M-27	Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
M-28	Translation of 1D Inverse Fourier Transform of K-space to an Image based on Deep Learning for Accelerating Magnetic Resonance Imaging
M-29	Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
M-30	Cardiac MR Segmentation from Undersampled k-space using Deep Latent Representation Learning
M-31	Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI
M-32	A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
M-33	Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents
M-34	Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI
M-35	Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks
M-36	An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI
M-37	Retinal Image Understanding Emerges from Self-Supervised Multimodal Reconstruction
M-38	Locality Adaptive Multi-modality GANs for High-quality PET Image Synthesis
M-39	Joint PET+MRI Patch-based Dictionary for Bayesian Random Field PET Reconstruction
M-40	Analysis of 3D Facial Dysmorphology in Genetic Syndromes from Unconstrained 2D Photographs
M-41	Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI
M-42	Double Your Views - Exploiting Symmetry in Transmission Imaging
M-43	Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip
M-44	Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network
M-45	3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks
M-46	Towards Radiotherapy Enhancement and Real Time Tumor Radiation Dosimetry Through 3D Imaging of Gold Nanoparticles using XFCT
M-47	Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network