Metastatic liver tumour segmentation with a neural network-guided 3D deformable model

Metastatic liver tumour segmentation from discriminant Grassmannian manifolds

(2015) Samuel Kadoury et al.   PHYSICS IN MEDICINE AND BIOLOGY

Identifying Staging Markers for Hepatocellular Carcinoma before Transarterial Chemoembolization: Comparison of Three-dimensional Quantitative versus Non–three-dimensional Imaging Markers

(2015) Julius Chapiro et al.   RADIOLOGY

Brain Tumor Segmentation Based on Local Independent Projection-Based Classification

(2014) Meiyan Huang et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Evolutionary learning of spiking neural networks towards quantification of 3D MRI brain tumor tissues

(2014) Arunadevi Baladhandapani et al.   SOFT COMPUTING

Omnidirectional displacements for deformable surfaces

(2012) Dagmar Kainmueller et al.   MEDICAL IMAGE ANALYSIS

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

(2009) T. Heimann et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

(2008) E.A. Eisenhauer et al.   EUROPEAN JOURNAL OF CANCER

3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models

(2008) Hassan Khotanlou et al.   FUZZY SETS AND SYSTEMS