Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI

Assessment of Brain Tumor Response: RANO and Its Offspring

(2016) Sylvia C. Eisele et al.   CURRENT TREATMENT OPTIONS IN ONCOLOGY

ESTRO-ACROP guideline “target delineation of glioblastomas”

(2016) Maximilian Niyazi et al.   RADIOTHERAPY AND ONCOLOGY

Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry

(2016) Raphael Meier et al.   Scientific Reports

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Analysis of neoplastic lesions in magnetic resonance imaging using self-organizing maps

(2015) Paulo Afonso Mei et al.   JOURNAL OF THE NEUROLOGICAL SCIENCES

Hierarchical non-negative matrix factorization to characterize brain tumor heterogeneity using multi-parametric MRI

(2015) Nicolas Sauwen et al.   NMR IN BIOMEDICINE

Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

(2015) Haruka Itakura et al.   Science Translational Medicine

Automated Glioblastoma Segmentation Based on a Multiparametric Structured Unsupervised Classification

(2015) Javier Juan-Albarracín et al.   PLoS One

Volumetric glioma quantification: comparison of manual and semi-automatic tumor segmentation for the quantification of tumor growth

(2014) Audun Odland et al.   ACTA RADIOLOGICA

Derivation of high-resolution MRI atlases of the human cerebellum at 3T and segmentation using multiple automatically generated templates

(2014) Min Tae M. Park et al.   NEUROIMAGE

Magnetic Resonance Imaging-Based Target Volume Delineation in Radiation Therapy Treatment Planning for Brain Tumors Using Localized Region-Based Active Contour

(2013) Hossein Aslian et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

The Virtual Skeleton Database: An Open Access Repository for Biomedical Research and Collaboration

(2013) Michael Kistler et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A survey of MRI-based medical image analysis for brain tumor studies

(2013) Stefan Bauer et al.   PHYSICS IN MEDICINE AND BIOLOGY

Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features

(2013) Wei Wu et al.   International Journal of Computer Assisted Radiology and Surgery

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images

(2011) Ezequiel Geremia et al.   NEUROIMAGE

FSL

(2011) Mark Jenkinson et al.   NEUROIMAGE

Computer-aided detection of multiple sclerosis lesions in brain magnetic resonance images: False positive reduction scheme consisted of rule-based, level set method, and support vector machine

(2010) Daisuke Yamamoto et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

(2010) Patrick Y. Wen et al.   JOURNAL OF CLINICAL ONCOLOGY

Comparison of T2 and FLAIR imaging for target delineation in high grade gliomas

(2010) Bronwyn Stall et al.   Radiation Oncology

Multi-atlas based segmentation of brain images: Atlas selection and its effect on accuracy

(2009) P. Aljabar et al.   NEUROIMAGE

Volumes and growth rates of untreated adult low-grade gliomas indicate risk of early malignant transformation

(2008) Jeremy Rees et al.   EUROPEAN JOURNAL OF RADIOLOGY

Gliomas: Predicting Time to Progression or Survival with Cerebral Blood Volume Measurements at Dynamic Susceptibility-weighted Contrast-enhanced Perfusion MR Imaging

(2008) Meng Law et al.   RADIOLOGY