Index for liver

_liver_
3D US-Based Evaluation and Optimization of Tumor Coverage for US-Guided Percutaneous liver Thermal Ablation
4D liver Ultrasound Registration
4D Ultrasound Tracking of liver and its Verification for TIPS Guidance
Accelerated liver tumor segmentation in four-phase computed tomography images
Accurate liver Border Identification Model in CT Scan Images
Adaptive Multiphase liver Tumor Segmentation With Multiscale Supervision
Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation
Analysis of vasculature for liver surgical planning
Analysis on segmentation and biomarker-based approaches for liver cancer detection: A survey
Anatomical decomposition of human liver volume to build accurate statistical shape models
Angular Margin Constrained Loss for Automatic liver Fibrosis Staging
Atom search-Jaya-based deep recurrent neural network for liver cancer detection
Attention Unet++: A Nested Attention-Aware U-Net for liver CT Image Segmentation
Automated Extraction of liver Outlines From Computed Tomography Scan Images Using a Cuda-based Segmentation Method
Automated liver Detection in Ultrasound Images
automated pattern recognition system for the quantification of inflammatory cells in hepatitis-C-infected liver biopsies, An
Automatic 3-D Skeleton-Based Segmentation of liver Vessels from MRI and CT for Couinaud Representation
Automatic 3D Segmentation of the liver from Computed Tomography Images, a Discrete Deformable Model Approach
Automatic annotation of liver computed tomography images based on a vessel-skeletonization method
Automatic Detection and Segmentation of Focal liver Lesions in Contrast Enhanced CT Images
Automatic detection of liver lesion from 3D computed tomography images
automatic level set based liver segmentation from MRI data sets, An
Automatic liver and lesion segmentation: A primary step in diagnosis of liver diseases
Automatic liver and lesion segmentation: A primary step in diagnosis of liver diseases
Automatic liver Segmentation and Hepatic Fat Fraction Assessment in MRI
Automatic liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images
Automatic liver segmentation for volume measurement in CT Images
Automatic liver segmentation from abdominal CT scans
Automatic liver Segmentation from CT Scans Using Multi-layer Segmentation and Principal Component Analysis
Automatic liver Segmentation in Pre-TIPS Cirrhotic Patients: A Preliminary Step for Radiomics Studies
Automatic liver Segmentation Using Statistical Prior Models and Free-form Deformation
Automatic liver tumor diagnosis with Dynamic-Contrast Enhanced MRI
Automatic liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering
Automatic Radiofrequency Ablation Planning for liver Tumors With Multiple Constraints Based on Set Covering
Automatic Segmentation and Classification of liver Abnormalities Using Fractal Dimension
Automatic segmentation of liver region through blood vessels on multi-phase ct
Automatic Segmentation of the liver in CT Using Level Sets Without Edges
Automatic segmentation system for liver tumors based on the multilevel thresholding and electromagnetism optimization algorithm
Bag of temporal co-occurrence words for retrieval of focal liver lesions using 3D multiphase contrast-enhanced CT images
Bayesian Saliency Model for Focal liver Lesion Enhancement and Detection
Benchmark Dataset for Segmenting liver, Vasculature and Lesions from Large-scale Computed Tomography Data, A
Cascade Learning Method for liver Lesion Detection in CT Images, A
Characterization of Primary and Secondary Malignant liver Lesions from B-Mode Ultrasound
Characterization of Visually Similar Diffuse Diseases from B-Scan liver Images with the Nonseparable Wavelet Transform
Cirrhosis Prognostic Quantification with Ultrasound: An Approximation to Model for End-Stage liver Disease
Classification algorithms for quantitative tissue characterization of diffuse liver disease from ultrasound images
Classification Based on Boolean Algebra and Its Application to the Prediction of Recurrence of liver Cancer
Classification of the Ultrasound liver Images with the 2Nx1-D Wavelet Transform
clustering algorithm for liver lesion segmentation of diffusion-weighted MR images, A
Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological liver and Lesion Segmentation
Comparison and Evaluation of Methods for liver Segmentation From CT Datasets
Computer-Aided Diagnosis of Focal liver Lesions Using Contrast-Enhanced Ultrasonography With Perflubutane Microbubbles
Construction of a linear unbiased diffeomorphic probabilistic liver atlas from CT images
Content-based medical image retrieval of CT images of liver lesions using manifold learning
Contour Correction liver Cancer CT Image Segmentation Method Based on Snake Model
Correlation-Weighted Sparse Representation for Robust liver DCE-MRI Decomposition Registration
DA-Tran: Multiphase liver tumor segmentation with a domain-adaptive transformer network
DARN: Deep Attentive Refinement Network for liver Tumor Segmentation from 3D CT volume
Design of a Classification Strategy for Light Microscopy Images of the Human liver
Detecting Gallbladders in Chicken livers using Spectral Imaging Anders
Detection of liver abnormalities: A new paradigm in medical image processing and classification techniques
Diagnosis of Broiler livers by Classifying Image Patches
Diffuse liver Disease Classification from Ultrasound Surface Characterization, Clinical and Laboratorial Data
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality liver Segmentation
Dual- and triple-stream RESUNET/UNET architectures for multi-modal liver segmentation
Dual-Attention Dilated Residual Network for liver Lesion Classification and Localization on CT Images, A
Early diagnosis of cirrhosis via automatic location and geometric description of liver capsule
Efficient Feature-Based Nonrigid Registration of Multiphase liver CT Volumes
Empirical Evaluation of Texture Features and Classifiers for liver Disease Diagnosis
Empirical greedy machine-based automatic liver segmentation in CT images
Enhancement approach for liver lesion diagnosis using unenhanced CT images
Ensemble Learning Based Segmentation of Metastatic liver Tumours in Contrast-Enhanced Computed Tomography
Estimation of Necrosis Volumes in Focal liver Lesions Based on Multi-phase Hepatic CT Images
Evaluation of a Statistical Shape Model for the liver
Evaluation of the Accuracy of liver Lesion DCEUS Quantification With Respiratory Gating
Extended Res-UNet with Hierarchical Inner-Modules for liver Tumor Segmentation from CT Volumes
External Vibration Multi-Directional Ultrasound Shearwave Elastography (EVMUSE): Application in liver Fibrosis Staging
Fast Algorithm for liver Surgery Planning, A
Fatty liver Characterization and Classification by Ultrasound
Focal and diffused liver disease classification from ultrasound images based on isocontour segmentation
Focal liver Lesion Tracking in Ceus for Characterisation Based on Dynamic Behaviour
Free-Breathing liver Fat, R2* and B0 Field Mapping Using Multi-Echo Radial FLASH and Regularized Model-Based Reconstruction
Fully automated liver segmentation for low- and high- contrast CT volumes based on probabilistic atlases
Fully Automatic liver Volumetry Using 3D Level Set Segmentation for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets
Fully Automatic liver Volumetry Using 3D Level Set Segmentation for Differentiated Liver Tissue Types in Multiple Contrast MR Datasets
Grading Cancer from liver Histology Images Using Inter and Intra Region Spatial Relations
Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre-trained convolutional neural networks
Graph-Based 3D-Ultrasound Reconstruction of the liver in the Presence of Respiratory Motion
H-DenseUNet: Hybrid Densely Connected UNet for liver and Tumor Segmentation From CT Volumes
Hemodynamic Analysis for Transjugular Intrahepatic Portosystemic Shunt (TIPS) in the liver Based on a CT-Image
hierarchical local region-based sparse shape composition for liver segmentation in CT scans, A
Hierarchical, learning-based automatic liver segmentation
HIFU Treatment of liver Cancer: Reciprocal Effect of Blood Flow and US Studied from a Patient-Specific Configuration
Histogram-based Motion Segmentation and Characterisation of Focal liver Lesions in CEUS
Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features
Hybrid Feature-Based Diffeomorphic Registration for Tumor Tracking in 2-D liver Ultrasound Images
Image Enhancement Procedure for 3D Visualization of liver CT Data, An
Improved Method for Cirrhosis Detection Using liver's Ultrasound Images, An
Improving Registration Robustness for Image-Guided liver Surgery in a Novel Human-to-Phantom Data Framework
interventional treatment plan system design on liver tumor, An
Intraoperative Correction of liver Deformation Using Sparse Surface and Vascular Features via Linearized Iterative Boundary Reconstruction
Intraoperative Laparoscope Augmentation for Port Placement and Resection Planning in Minimally Invasive liver Resection
Is early detection of liver and breast cancers from ultrasound scans possible?
Iterative Reweighted Local Cross Correlation Method for Nonlinear Registration of Multiphase liver CT Images
Label-Free liver Tumor Segmentation
Laplacian Salience-Gated Feature Pyramid Network for Accurate liver Vessel Segmentation
Learning From Synthetic CT Images via Test-Time Training for liver Tumor Segmentation
Learning to Jointly Segment the liver, Lesions and Vessels from Partially Annotated Datasets
Literature Review of Deep Learning Models for liver Vessels Reconstruction
liver Definition in CT Using a Population-Based Shape Model
liver Disease, Tomography, CAT Analysis
liver MRI segmentation with edge-preserved intensity inhomogeneity correction
liver segmentation based on deformable registration and multi-layer segmentation
liver Segmentation in CT Images Using Three Dimensional to Two Dimensional Fully Convolutional Network
liver segmentation using superpixel-based graph cuts and restricted regions of shape constrains
liver segmentation with constrained convex variational model
liver tumor detection in CT images by adaptive contrast enhancement and the EM/MPM algorithm
liver Tumor Detection Via A Multi-Scale Intermediate Multi-Modal Fusion Network on MRI Images
liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network
liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images
liver Venous Tree Separation via Twin-Line RANSAC and Murray's Law
liver Vessels Segmentation Based on 3d Residual U-NET
Machine Learning Approach for Locating Boundaries of liver Tumors in CT Images, A
Machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of liver Fluke Opisthorchis viverrini (OV) Infection in Small Sub-Watersheds
MDR-Net: Multiscale dense residual networks for liver image segmentation
Mean sets for building 3D probabilistic liver atlas from perfusion MR images
Mechanics-Based Nonrigid Registration Method for liver Surgery Using Sparse Intraoperative Data, A
Method for quantifying volumetric lesion change in interval liver CT examinations
Model-Guided Segmentation of liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved liver and Liver-Tumor Segmentation in CT Images
Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved liver and Liver-Tumor Segmentation in CT Images
Morphologic Analysis of Cirrhotic liver in CT Images, A
MR-CT Image Registration in liver Cancer Treatment with an Open Configuration MR Scanner
Multi-Modal Co-Learning for liver Lesion Segmentation on PET-CT Images
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for liver Tumor Detection in Dynamic Ct Images
Multi-Threshold Dimension Vector for Texture Analysis and Its Application to liver Tissue Classification
Multiscale Model of liver DCE-MRI Towards a Better Understanding of Tumor Complexity
Multiscale Nakagami parametric imaging for improved liver tumor localization
Neural Network Ensemble Based CAD System for Focal liver Lesions from B-Mode Ultrasound
new convex variational model for liver segmentation, A
Non-Invasive Photothermal Strain Imaging of Non-Alcoholic Fatty liver Disease in Live Animals
Nonrigid Motion Modeling of the liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI
Optimized segmentation and classification for liver tumor segmentation and classification using opposition-based spotted hyena optimization
Optimizing deep belief network parameters using grasshopper algorithm for liver disease classification
Orthogonal moments based texture analysis of CT liver images
Particle swarm optimization-based liver disorder ultrasound image classification using multi-level and multi-domain features
Pathological liver segmentation using stochastic resonance and cellular automata
PCA-SVM based CAD System for Focal liver Lesions using B-Mode Ultrasound Images
PCAF-Net: A liver segmentation network based on deep learning
Performance evaluation of support vector machine and artificial neural network in the classification of liver cirhosis and hemachromatosis
Perfusion Analysis of Nonlinear liver Ultrasound Images Based on Nonlinear Matrix Diffusion
Pharmacokinetic Perfusion Curves Estimation for liver Tumor Diagnosis from DCE-MRI
Pilot study of applying shape analysis to liver cirrhosis diagnosis
Position estimation of moving liver lesion based on registration between 2D ultrasound and 4D MR images
Preclinical Imaging Using Single Track Location Shear Wave Elastography: Monitoring the Progression of Murine Pancreatic Tumor liver Metastasis In Vivo
Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With liver Lesions in CT
Prediction of cirrhosis from liver ultrasound B-mode images based on Laws' masks analysis
Prediction of liver cirrhosis based on multiresolution texture descriptors from B-mode ultrasound
Preliminary study on statistical shape model applied to diagnosis of liver cirrhosis
Probe Oscillation Shear Wave Elastography: Initial In Vivo Results in liver
Random field models in the textural analysis of ultrasonic images of the liver
Rapid Approach for Prediction of liver Cirrhosis based on First Order Statistics, A
Real-time update of 3D deformable models for computer aided liver surgery
Realistic 3D Modeling of the liver from MRI Images
Recognizing Focal liver Lesions in CEUS With Dynamically Trained Latent Structured Models
Registration of Untracked 2D Laparoscopic Ultrasound to CT Images of the liver Using Multi-Labelled Content-Based Image Retrieval
Rule-based method for tumor recognition in liver ultrasonic images
Segmentation and Analysis of liver Cancer Pathological Color Images based on Artificial Neural Networks
Segmentation of liver in Low-Contrast Images Using K-Means Clustering and Geodesic Active Contour Algorithms
Segmentation of liver tumor via nonlocal active contours
Self-Supervised Learning for Accurate liver View Classification in Ultrasound Images with Minimal Labeled Data
Semi-automatic liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels
Semiautomatic 3-D image registration as applied to interventional MRI liver cancer treatment
Semiautomatic non-rigid 3-D image registration for MR-Guided liver Cancer Surgery
Snake-based liver lesion segmentation
Sparse and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis livers
Spatiotemporal Density Feature Analysis to Detect liver Cancer from Abdominal CT Angiography
Stratification of Patients With liver Fibrosis Using Dual-Energy CT
Subject-Specific prior shape knowledge in feature-oriented probability maps for fully automatized liver segmentation in MR volume data
SVM-based characterisation of liver cirrhosis by singular value decomposition of GLCM matrix
SVM-Based Characterization of liver Ultrasound Images Using Wavelet Packet Texture Descriptors
Synergistic Digital Twin and Holographic Augmented-Reality-Guided Percutaneous Puncture of Respiratory liver Tumor
Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions
Texture classification of mouse liver cell nuclei using invariant moments of consistent regions
Texture Feature Coding Method for Classification of liver Sonography
Three-dimensional fusion of clustered and classified features for enhancement of liver and lesions from abdominal radiology images
Three-Dimensional Multi-Frequency Shear Wave Absolute Vibro-Elastography (3D S-WAVE) With a Matrix Array Transducer: Implementation and Preliminary In Vivo Study of the liver
Tracer kinetic modeling of C11-acetate applied in the liver with positron emission tomography
Tracking liver Motion Using 3-D Ultrasound and a Surface-Based Statistical Shape Model
Transformer Based Generative Adversarial Network for liver Segmentation
Tumor Burden Analysis on Computed Tomography by Automated liver and Tumor Segmentation
Ultrasonic liver tissues classification by fractal feature vector based on M -band wavelet transform
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics
Vesselness Filters: A Survey with Benchmarks Applied to liver Imaging
Virtual liver Biopsy: Image Processing and 3d Visualization
Weakly Supervised liver Tumor Segmentation Using Couinaud Segment Annotation
197 for liver

_liverdefense_
liverdefense: how to employ a tower defense game as a customisable research tool

_liverpool_
Can Forel-Ule Index Act as a Proxy of Water Quality in Temperate Waters? Application of Plume Mapping in liverpool Bay, UK
Probabilistic Approach to Mapping the Contribution of Individual Riverine Discharges into liverpool Bay Using Distance Accumulation Cost Methods on Satellite Derived Ocean-Colour Data, A

Index for "l"


Last update:25-Mar-24 16:25:56
Use price@usc.edu for comments.