Name
Affiliation
Papers
TRYPHON LAMBROU
Lincoln Univ, Lincoln Sch Comp Sci, Lincoln, England
17
Collaborators
Citations 
PageRank 
46
67
12.93
Referers 
Referees 
References 
221
279
65
Search Limit
100279
Title
Citations
PageRank
Year
Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels#.60.422018
Thermal Camera Based Physiological Monitoring with an Assistive Robot.00.342018
MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks.00.342017
Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network.00.342017
A Hybrid Method for Haemorrhage Segmentation in Trauma Brain CT.10.352014
Brain Tumour Grading in Different MRI Protocols using SVM on Statistical Features.00.342014
An In Vivo Subject-Specific 3d Functional Knee Joint Model Using Combined Mr Imaging00.342013
Combined MR imaging towards subject-specific knee contact analysis10.482011
T2 anisotropy in articular cartilage - a model based approach.00.342011
The Application of a Statistical Shape Model to Diaphragm Tracking in Respiratory-Gated Cardiac PET Images30.452009
Principal Geodesic Analysis for the Study of Nonlinear Minimum Description Length00.342007
Automatic 3D Segmentation of the Liver from Computed Tomography Images, a Discrete Deformable Model Approach00.342006
Novel approaches to the measurement of arterial blood flow from dynamic digital X-ray images.101.662005
Level set segmentation of the fetal heart20.362005
In-Vitro Validation of a Novel Model-Based Approach to the Measurement of Arterial Blood Flow Waveforms from Dynamic Digital X-ray Images21.462001
Validation of an optical flow algorithm to measure blood flow waveforms in arteries using dynamic digital x-ray images51.752000
Classification of audio signals using statistical features on time and wavelet transform domains373.311998