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A Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation
Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image
Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI
Dual-Layer l1-Graph Embedding for Semi-Supervised Image Labeling
Automatic Liver Tumor Segmentation in Follow-up CT Studies Using Convolutional Neural Network
Block-based Statistics for Robust Non-Parametric Morphometry
Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-based Edge Detection
Efficient Lung Cancer Cell Detection with Deep Convolutional Neural Network
An Effective Approach for Robust Lung Cancer Cell Detection
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation
Hippocampus Segmentation through Distance Field Fusion
Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compress Sensing
Fast Regions-of-Interest Detection in Whole Slide Histopathology Images
Reliability Guided Forward and Backward Patch-based Method for Multi-atlas Segmentation
Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptor
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images
3D MRI Denoising using Rough Set Theory and Kernel Embedding Method
A Novel Cell Orientation Congruence Descriptor for Superpixel based Epithelium Segmentation in Endometrial Histology Images
Patch-based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques
Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph
Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework
Efficient Multi-Scale Patch-based Segmentation.
Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image
Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI
Dual-Layer l1-Graph Embedding for Semi-Supervised Image Labeling
Automatic Liver Tumor Segmentation in Follow-up CT Studies Using Convolutional Neural Network
Block-based Statistics for Robust Non-Parametric Morphometry
Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-based Edge Detection
Efficient Lung Cancer Cell Detection with Deep Convolutional Neural Network
An Effective Approach for Robust Lung Cancer Cell Detection
Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation
Hippocampus Segmentation through Distance Field Fusion
Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compress Sensing
Fast Regions-of-Interest Detection in Whole Slide Histopathology Images
Reliability Guided Forward and Backward Patch-based Method for Multi-atlas Segmentation
Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptor
Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression
A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images
3D MRI Denoising using Rough Set Theory and Kernel Embedding Method
A Novel Cell Orientation Congruence Descriptor for Superpixel based Epithelium Segmentation in Endometrial Histology Images
Patch-based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques
Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph
Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework
Efficient Multi-Scale Patch-based Segmentation.