Machine Learning in Medical Imaging

by Deep Learning for Facilitating Deformable Registration.- Joint Shape Representation and Classification for Detecting PDAC.- FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans.- Weakly supervised segmentation by a deep geodesic prior.- Ultrasound Liver Fibrosis Diagnosis using Multi-indicator guided Deep Neural Networks.- Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps.- Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI.- Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation.- Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-Unet.- Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images.- Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation.- Detecting abnormalities in resting-state dynamics: An unsupervised learning approach.- Distanced LSTM: Time-Distanced Gates in Long Short-Term MemoryModels for Lung Cancer Detection.- Dense-residual Attention Network for Skin Lesion Segmentation.- Confounder-Aware Visualization of ConvNets.- Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks.- Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection.- Unsupervised Lesion Detection with Locally Gaussian Approximation.- A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection.- BOLD fMRI-based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks.- Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI.- Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI.- A Maximum Entropy Deep Reinforcement Learning Neural Tracker.- Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation.- Select, Attend, and Transfer: Light, Learnable Skip Connections.- Learning-based Bone Quality Classification Method for Spinal Metastasis.- Automated Segmentation of Skin Lesion Based on Pyramid Attention Network.- Relu cascade of feature pyramid networks for CT pulmonary nodule detection.- Joint Localization of Optic Disc and Fovea in Ultra-Widefield Fundus Images.- Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures.- Lesion Detection by Efficiently Bridging 3D Context.- Communal Domain Learning for Registration in Drifted Image Spaces.- Conv2Warp: An unsupervised deformable image registration with continuous convolution and warping.- Semantic filtering through deep source separation on microscopy images.- Adaptive Functional Connectivity Network using Parallel Hierarchical BiLSTM for MCI Diagnosis.- Multi-Template based Auto-weighted Adaptive Structural Learning for ASD Diagnosis.- Learn to Step-wise Focus on Targets for Biomedical Image Segmentation.- Renal Cell Carcinoma Staging with Learnable Image Histogram-based Deep Neural Network.- Weakly Supervised Learning Strategy for Lung Defect Segmentation.- Gated Recurrent Neural Networks for Accelerated  Ventilation MRI.- A Cascaded Multi-Modality Analysis in Mild Cognitive Impairment.- Deep Residual Learning for Instrument Segmentation in Robotic Surgery.- Deep learning model integrating dilated convolution and deep supervision for brain tumor segmentation in multi-parametric MRI.- A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs.- Automatic Fetal Brain Extraction Using Multi-Stage U-Net with Deep Supervision.- Cross-Modal Attention-Guided Convolutional Network for Multi-Modal Cardiac Segmentation.- High- and Low-Level Feature Enhancement for Medical Image Segmentation.- Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation.- An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis.- Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images.- FAIM-A ConvNet Method for Unsupervised 3D Medical Image Registration.- Functional data and long short-term memory networks for diagnosis of Parkinson's Disease.- Joint Holographic Detection and Reconstruction.- Reinforced Transformer for Medical Image Captioning.- Multi Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph.