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Cell Lineage Tracing in Lens-Free Microscopy Videos

Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status

The Active Atlas: Combining 3D Anatomical Models with Texture Detectors

Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion

Separation of Transmitted Light and Scattering Components in Transmitted Microscopy

Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding Space

Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection

Neuron Segmentation Using Deep Complete Bipartite Networks

Cell Encoding for Histopathology Image Classification

Latent Processes Governing Neuroanatomical Change in Aging and Dementia

Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development

A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data

Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging

Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data

Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease

Computational Immunohistochemistry: Recipes for Standardization of Immunostaining

Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases

An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data

Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images

4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation

Unsupervised Feature Learning for Endomicroscopy Image Retrieval

Refocusing Phase Contrast Microscopy Images

Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface

Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data

Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth

Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder

Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation

QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data

Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants

DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI

Falx Cerebri Segmentation via Multi-atlas Boundary Fusion

Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging

Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification

A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia

Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition

GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction

Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images

Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery

MRI-Based Surgical Planning for Lumbar Spinal Stenosis

Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study

Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features

Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism

Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks

Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet

Physiological Parameter Estimation from Multispectral Images Unleashed

Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy

Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCA

Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling

Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System

Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images

Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble

Representative Patch-based Active Appearance Models Generated from Small Training Populations

Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images

Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model

Integrating Statistical Prior Knowledge into Convolutional Neural Networks

Active Learning and Proofreading for Delineation of Curvilinear Structures

A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification

Statistical Shape Model of Nested Structures Based on the Level Set

Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections

Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans

Spectral Graph Convolutions for Population-Based Disease Prediction

BRANCH:Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics

Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes

Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation

Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images

Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data

Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer’s Disease

Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network

Learning and Incorporating Shape Models for Semantic Segmentation

Personalized Diagnosis for Alzheimer’s Disease

Automatic Labeling of Vascular Structures with Topological Constraints via HMM

Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical Dysplasia

GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation

CT Image Enhancement for Feature Detection and Localization

Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data

Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks

Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index

Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm

Multimodal Image Registration with Deep Context Reinforcement Learning

Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths

Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration

Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

<inline-formula><alternatives><tex-math>\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ell _2$$\end{document}</tex-math><inline-graphic></inline-graphic></alternatives></inline-formula> Similarity Metrics for Diffusion Multi-Compartment Model Images Registration

Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound

A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration

SVF-Net: Learning Deformable Image Registration Using Shape Matching

Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection

Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression

A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information

Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness

Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching

Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images

Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

Optimal Transport for Diffeomorphic Registration