讲在前面
、和。
论文目录
PART I
| Atlas and Surface-Based Techniques(基于表面的地图集和技术) | 概要 |
|---|---|
| 1.The Active Atlas: Combining 3D Anatomical Models with Texture Detectors | |
| 2.Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information | |
| 3.Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding Space | |
| 4.Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development | |
| 5.Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data | |
| 6.Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases | |
| 7.4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation | |
| 8.Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface | |
| 9.Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth | |
| 10.Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants | |
| 11.Falx Cerebri Segmentation via Multi-atlas Boundary Fusion | |
| 12.A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia | |
| 13.Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images | |
| 14.Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study |
| Shape and Patch-Based Techniques(基于形状和补丁的技术) | 概要 |
|---|---|
| 15.Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet | |
| 16.Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCA | |
| 17.Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System | |
| 18.Representative Patch-based Active Appearance Models Generated from Small Training Populations | |
| 19.Integrating Statistical Prior Knowledge into Convolutional Neural Networks | |
| 20.Statistical Shape Model of Nested Structures Based on the Level Set | |
| 21.Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans | |
| 22.Learning Deep Features for Automated Placement of Correspondence Points on Ensembles of Complex Shapes | |
| 23.Robust Multi-scale Anatomical Landmark Detection in Incomplete D-CT Data | |
| 24.Learning and Incorporating Shape Models for Semantic Segmentation | |
| 25.Surface-Wise Texture Patch Analysis of Combined MRI and PET to Detect MRI-Negative Focal Cortical Dysplasia |
| Registration Techniques（配准技术） | 概要 |
|---|---|
| 26.Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation | |
| 27.Nonrigid Image Registration Using Multi-scale 3D Convolutional Neural Networks | |
| 28.Multimodal Image Registration with Deep Context Reinforcement Learning | |
| 29.Directional Averages for Motion Segmentation in Discontinuity Preserving Image Registration | |
| 30.ℓ2 Similarity Metrics for Diffusion Multi-Compartment Model Images Registration | |
| 31.SVF-Net: Learning Deformable Image Registration Using Shape Matching | |
| 32.A Large Deformation Diffeomorphic Approach to Registration of CLARITY Images via Mutual Information | |
| 33.Mixed Metric Random Forest for Dense Correspondence of Cone-Beam Computed Tomography Images | |
| 34.Optimal Transport for Diffeomorphic Registration | |
| 35.Deformable Image Registration Based on Similarity-Steered CNN Regression | |
| 36.Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets | |
| 37.Fast Geodesic Regression for Population-Based Image Analysis | |
| 38.Deformable Registration of a Preoperative 3D Liver Volume to a Laparoscopy Image Using Contour and Shading Cues | |
| 39.Parameter Sensitivity Analysis in Medical Image Registration Algorithms Using Polynomial Chaos Expansions | |
| 40.Robust Non-rigid Registration Through Agent-Based Action Learning | |
| 41.Selecting the Optimal Sequence for Deformable Registration of Microscopy Image Sequences Using Two-Stage MST-based Clustering Algorithm |
| Functional Imaging, Connectivity, and Brain Parcellation（功能成像，连接性和脑细胞分裂） | 概要 |
|---|---|
| 42.Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks | |
| 43.Kernel-Regularized ICA for Computing Functional Topography from Resting-State fMRI | |
| 44.N-way Decomposition: Towards Linking Concurrent EEG and fMRI Analysis During Natural Stimulus | |
| 45.Connectome-Based Pattern Learning Predicts Histology and Surgical Outcome of Epileptogenic Malformations of Cortical Development | |
| 46.Joint Representation of Connectome-Scale Structural and Functional Profiles for Identification of Consistent Cortical Landmarks in Human Brains | |
| 47.Subject-Specific Structural Parcellations Based on Randomized AB-divergences | |
| 48.Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors | |
| 49.Multi-way Regression Reveals Backbone of Macaque Structural Brain Connectivity in Longitudinal Datasets | |
| 50.Multimodal Hyper-connectivity Networks for MCI Classification | |
| 51.Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints | |
| 52.Statistical Learning of Spatiotemporal Patterns from Longitudinal Manifold-Valued Networks | |
| 53.Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity | |
| 54.Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks | |
| 55.A Submodular Approach to Create Individualized Parcellations of the Human Brain | |
| 56.BrainSync: An Orthogonal Transformation for Synchronization of fMRI Data Across Subjects | |
| 57.Supervised Discriminative EEG Brain Source Imaging with Graph Regularization | |
| 58.Inference and Visualization of Information Flow in the Visual Pathway Using dMRI and EEG |
| Diffusion Magnetic Resonance Imaging (dMRI) and Tensor/Fiber Processing（扩散磁共振成像（dMRI）和张量/纤维处理） | 概要 |
|---|---|
| 59.Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification | |
| 60.Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI | |
| 61.A Novel Anatomically-Constrained Global Tractography Approach to Monitor Sharp Turns in Gyri | |
| 62.Learn to Track: Deep Learning for Tractography | |
| 63.FiberNET: An Ensemble Deep Learning Framework for Clustering White Matter Fibers | |
| 64.Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis | |
| 65.White Matter Fiber Representation Using Continuous Dictionary Learning | |
| 66.Fiber Orientation Estimation Guided by a Deep Network | |
| 67.FOD Restoration for Enhanced Mapping of White Matter Lesion Connectivity | |
| 68.Learning-Based Ensemble Average Propagator Estimation | |
| 69.A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI | |
| 70.Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution | |
| 71.q-Space Upsampling Using x-q Space Regularization | |
| 72.Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI | |
| 73.Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure | |
| 74.A Bag-of-Features Approach to Predicting TMS Language Mapping Results from DSI Tractography | |
| 75.Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images | |
| 76.Revealing Hidden Potentials of the q-Space Signal in Breast Cancer | |
| 77.Denoising Moving Heart Wall Fibers Using Cartan Frames | |
| 78.TBS: Tensor-Based Supervoxels for Unfolding the Heart |
| Image Segmentation and Modelling（图像分割与建模） | 概要 |
|---|---|
| 79.A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans | |
| 80.Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels) | |
| 81.Towards Automatic Semantic Segmentation in Volumetric Ultrasound | |
| 82.Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging | |
| 83.Towards Image-Guided Pancreas and Biliary Endoscopy: Automatic Multi-organ Segmentation on Abdominal CT with Dense Dilated Networks | |
| 84.Holistic Segmentation of Intermuscular Adipose Tissues on Thigh MRI | |
| 85.Spatiotemporal Segmentation and Modeling of the Mitral Valve in Real-Time 3D Echocardiographic Images | |
| 86.Unbiased Shape Compactness for Segmentation | |
| 87.Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks | |
| 88.Development of a μ CT-based Patient-Specific Model of the Electrically Stimulated Cochlea | |
| 89.Compresso: Efficient Compression of Segmentation Data for Connectomics | |
| 90.Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI |
PART II
| Optical Imaging（光学成像） | 概要 |
|---|---|
| 1.Cell Lineage Tracing in Lens-Free Microscopy Videos | |
| 2.Separation of Transmitted Light and Scattering Components in Transmitted Microscopy | |
| 3.Neuron Segmentation Using Deep Complete Bipartite Networks | |
| 4.Cell Encoding for Histopathology Image Classification | |
| 5.Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging | |
| 6.Computational Immunohistochemistry: Recipes for Standardization of Immunostaining | |
| 7.Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images | |
| 8.Refocusing Phase Contrast Microscopy Images | |
| 9.Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder | |
| 10.QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data | |
| 11.Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging | |
| 12.Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition | |
| 13.Efficient Reconstruction of Holographic Lens-Free Images by Sparse Phase Recovery | |
| 14.Quality Assessment of Retinal Hyperspectral Images Using SURF and Intensity Features | |
| 15.Isotropic Reconstruction of 3D Fluorescence Microscopy Images Using Convolutional Neural Networks | |
| 16.Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy | |
| 17.Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images | |
| 18.Accurate Correspondence of Cone Photoreceptor Neurons in the Human Eye Using Graph Matching Applied to Longitudinal Adaptive Optics Images |
| Airway and Vessel Analysis（气道和血管分析） | 概要 |
|---|---|
| 19.Active Learning and Proofreading for Delineation of Curvilinear Structures | |
| 20.Tracking the Aortic Lumen Geometry by Optimizing the 3D Orientation of Its Cross-sections | |
| 21.BRANCH:Bifurcation Recognition for Airway Navigation based on struCtural cHaracteristics | |
| 22.Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images | |
| 23.Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network | |
| 24.Automatic Labeling of Vascular Structures with Topological Constraints via HMM | |
| 25.Biomechanical Patient-Specific Model of the Respiratory System Based on 4D CT Scans and Controlled by Personalized Physiological Compliance | |
| 26.CT Image Enhancement for Feature Detection and Localization | |
| 27.Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index | |
| 28.Globally-Optimal Anatomical Tree Extraction from 3D Medical Images Using Pictorial Structures and Minimal Paths |
| Motion and Cardiac Analysis（运动和心脏分析） | 概要 |
|---|---|
| 29.Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation | |
| 30.A Localized Statistical Motion Model as a Reproducing Kernel for Non-rigid Image Registration | |
| 31.Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression | |
| 32.Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching | |
| 33.Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets | |
| 34.Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion | |
| 35.Detection and Characterization of the Fetal Heartbeat in Free-hand Ultrasound Sweeps with Weakly-supervised Two-streams Convolutional Networks | |
| 36.Retrospective Head Motion Estimation in Structural Brain MRI with 3D CNNs | |
| 37.Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis | |
| 38.Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets | |
| 39.Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video | |
| 40.Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies | |
| 41.Temporal Interpolation of Abdominal MRIs Acquired During Free-Breathing | |
| 42.Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks | |
| 43.CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN | |
| 44.Analysis of Periodicity in Video Sequences Through Dynamic Linear Modeling |
| Tumor Processing（肿瘤处理） | 概要 |
|---|---|
| 45.Groupwise Registration of MR Brain Images Containing Tumors via Spatially Constrained Low-Rank Based Image Recovery | |
| 46.Deep Correlational Learning for Survival Prediction from Multi-modality Data | |
| 47.Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy | |
| 48.Personalized Pancreatic Tumor Growth Prediction via Group Learning | |
| 49.Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation | |
| 50.Field Effect Induced Organ Distension (FOrge) Features Predicting Biochemical Recurrence from Pre-treatment Prostate MRI | |
| 51.Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients | |
| 52.Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis | |
| 53.RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction |
| Planning and Simulation for Medical Interventions（医疗干预的计划与模拟） | 概要 |
|---|---|
| 45.Locally Affine Diffeomorphic Surface Registration for Planning of Metopic Craniosynostosis Surgery | |
| 46.A Time Saver: Optimization Approach for the Fully Automatic 3D Planning of Forearm Osteotomies | |
| 47.DARWIN: Deformable Patient Avatar Representation With Deep Image Network | |
| 48.Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery | |
| 49.A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment | |
| 50.DejaVu: Intra-operative Simulation for Surgical Gesture Rehearsal | |
| 51.An Optimal Control Approach for High Intensity Focused Ultrasound Self-Scanning Treatment Planning | |
| 52.A Mixed-Reality Approach to Radiation-Free Training of C-arm Based Surgery | |
| 53.Image-Driven Stochastic Identification of Boundary Conditions for Predictive Simulation | |
| 54.Toward Computer-Assisted Planning for Interstitial Laser Ablation of Malignant Brain Tumors Using a Tubular Continuum Robot | |
| 55.Providing Effective Real-Time Feedback in Simulation-Based Surgical Training |
| Interventional Imaging and Navigation（介入成像和导航） | 概要 |
|---|---|
| 56.Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy | |
| 57.Deep Neural Networks Predict Remaining Surgery Duration from Cholecystectomy Videos | |
| 58.UV Exposed Optical Fibers with Frequency Domain Reflectometry for Device Tracking in Intra-arterial Procedures | |
| 59.Real-Time 3D Ultrasound Reconstruction and Visualization in the Context of Laparoscopy | |
| 60.Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks | |
| 61.Motion-Compensated Autonomous Scanning for Tumour Localisation Using Intraoperative Ultrasound | |
| 62.Deep Learning for Sensorless 3D Freehand Ultrasound Imaging | |
| 63.Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery | |
| 64.Learning CNNs with Pairwise Domain Adaption for Real-Time 6DoF Ultrasound Transducer Detection and Tracking from X-Ray Images | |
| 65.An Approach for Needle Based Optical Coherence Elastography Measurements | |
| 66.Concurrent Segmentation and Localization for Tracking of Surgical Instruments | |
| 67.Surgical Soundtracks: Towards Automatic Musical Augmentation of Surgical Procedures | |
| 68.Precise Ultrasound Bone Registration with Learning-Based Segmentation and Speed of Sound Calibration | |
| 69.Convolutional Neural Network and In-Painting Techniques for the Automatic Assessment of Scoliotic Spine Surgery from Biplanar Radiographs |
| Medical Image Computing（医学图像计算） | 概要 |
|---|---|
| 70.A Novel Automatic Segmentation Method to Quantify the Effects of Spinal Cord Injury on Human Thigh Muscles and Adipose Tissue | |
| 71.OptiC: Robust and Automatic Spinal Cord Localization on a Large Variety of MRI Data Using a Distance Transform Based Global Optimization | |
| 72.Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks | |
| 73.Online Statistical Inference for Large-Scale Binary Images | |
| 74.Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis | |
| 75.A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging | |
| 76.Data-Driven Rank Aggregation with Application to Grand Challenges | |
| 77.Benchmarking Quantitative Imaging Biomarker Measurement Methods Without a Gold Standard |
PART III
| Feature Extraction and Classification Techniques（特征提取与分类技术） | 概要 |
|---|---|
| 1.Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status | |
| 2.Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion | |
| 3.Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection | |
| 4.Latent Processes Governing Neuroanatomical Change in Aging and Dementia | |
| 5.A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data | |
| 6.Multi-level Multi-task Structured Sparse Learning for Diagnosis of Schizophrenia Disease | |
| 7.An Unbiased Penalty for Sparse Classification with Application to Neuroimaging Data | |
| 8.Unsupervised Feature Learning for Endomicroscopy Image Retrieval | |
| 9.Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data | |
| 10.Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation | |
| 11.DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI | |
| 12.Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification | |
| 13.GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction | |
| 14.MRI-Based Surgical Planning for Lumbar Spinal Stenosis | |
| 15.Pattern Visualization and Recognition Using Tensor Factorization for Early Differential Diagnosis of Parkinsonism | |
| 16.Physiological Parameter Estimation from Multispectral Images Unleashed | |
| 17.Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling | |
| 18.Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble | |
| 19.Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model | |
| 20.A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification | |
| 21.Spectral Graph Convolutions for Population-Based Disease Prediction | |
| 22.Predicting Future Disease Activity and Treatment Responders for Multiple Sclerosis Patients Using a Bag-of-Lesions Brain Representation | |
| 23.Sparse Multi-kernel Based Multi-task Learning for Joint Prediction of Clinical Scores and Biomarker Identification in Alzheimer’s Disease |
| Machine Learning in Medical Image Computing（医学图像计算中的机器学习） | 概要 |
|---|---|
| 24.Personalized Diagnosis for Alzheimer’s Disease | |
| 25.GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network | |
| 26.Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans | |
| 27.Error Corrective Boosting for Learning Fully Convolutional Networks with Limited Data | |
| 28.Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm | |
| 29.Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images | |
| 30.Boundary Regularized Convolutional Neural Network for Layer Parsing of Breast Anatomy in Automated Whole Breast Ultrasound | |
| 31.Zoom-in-Net: Deep Mining Lesions for Diabetic Retinopathy Detection | |
| 32.Full Quantification of Left Ventricle via Deep Multitask Learning Network Respecting Intra- and Inter-Task Relatedness | |
| 33.Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation | |
| 34.Pathological OCT Retinal Layer Segmentation Using Branch Residual U-Shape Networks | |
| 35.Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes | |
| 36.Semi-supervised Deep Learning for Fully Convolutional Networks | |
| 37.TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References | |
| 38.BRIEFnet: Deep Pancreas Segmentation Using Binary Sparse Convolutions | |
| 39.Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning | |
| 40.Robust Multi-modal MR Image Synthesis | |
| 41.Segmentation of Intracranial Arterial Calcification with Deeply Supervised Residual Dropout Networks | |
| 42.Clinical Target-Volume Delineation in Prostate Brachytherapy Using Residual Neural Networks | |
| 43.Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography | |
| 44.Image Super Resolution Using Generative Adversarial Networks and Local Saliency Maps for Retinal Image Analysis | |
| 45.Synergistic Combination of Learned and Hand-Crafted Features for Prostate Lesion Classification in Multiparametric Magnetic Resonance Imaging | |
| 46.Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation | |
| 47.Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images | |
| 48.Medical Image Synthesis with Context-Aware Generative Adversarial Networks | |
| 49.Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks | |
| 50.SD-Layer: Stain Deconvolutional Layer for CNNs in Medical Microscopic Imaging | |
| 51.X-Ray In-Depth Decomposition: Revealing the Latent Structures | |
| 52.Fast Prospective Detection of Contrast Inflow in X-ray Angiograms with Convolutional Neural Network and Recurrent Neural Network | |
| 53.Quantification of Metabolites in Magnetic Resonance Spectroscopic Imaging Using Machine Learning | |
| 54.Building Disease Detection Algorithms with Very Small Numbers of Positive Samples | |
| 55.Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis | |
| 56.Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification | |
| 57.Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes | |
| 58.Automatic Liver Segmentation Using an Adversarial Image-to-Image Network | |
| 59.Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation | |
| 60.Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN | |
| 61.Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks | |
| 62.Hashing with Residual Networks for Image Retrieval | |
| 63.Deep Multiple Instance Hashing for Scalable Medical Image Retrieval | |
| 64.Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks | |
| 65.Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules | |
| 66.Liver Lesion Detection Based on Two-Stage Saliency Model with Modified Sparse Autoencoder | |
| 67.Manifold Learning of COPD | |
| 68.Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning | |
| 69.Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification | |
| 70.Segmentation-Free Kidney Localization and Volume Estimation Using Aggregated Orthogonal Decision CNNs | |
| 71.Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images | |
| 72.Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning | |
| 73.CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance | |
| 74.Intra-perinodular Textural Transition (Ipris): A 3D Descriptor for Nodule Diagnosis on Lung CT |