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 |
|
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 |