Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

(2018) Xiaomei Zhao et al.   MEDICAL IMAGE ANALYSIS

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys

(2017) Timothy L. Kline et al.   JOURNAL OF DIGITAL IMAGING

Large scale deep learning for computer aided detection of mammographic lesions

(2017) Thijs Kooi et al.   MEDICAL IMAGE ANALYSIS

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Brain tumor segmentation using holistically nested neural networks in MRI images

(2017) Ying Zhuge et al.   MEDICAL PHYSICS

Computer-based radiological longitudinal evaluation of meningiomas following stereotactic radiosurgery

(2017) Eli Ben Shimol et al.   International Journal of Computer Assisted Radiology and Surgery

Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF

(2017) Zeju Li et al.   Journal of Healthcare Engineering

Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization

(2017) Nicolas Sauwen et al.   BMC MEDICAL IMAGING

Multimodal Imaging of Patients With Gliomas Confirms 11C-MET PET as a Complementary Marker to MRI for Noninvasive Tumor Grading and Intraindividual Follow-Up After Therapy

(2017) Kai R. Laukamp et al.   Molecular Imaging

The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization

(2017) Nicolas Sauwen et al.   PLoS One

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

(2016) David N. Louis et al.   ACTA NEUROPATHOLOGICA

Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy

(2016) Macedo Firmino et al.   Biomedical Engineering Online

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Variants of meningiomas: a review of imaging findings and clinical features

(2016) Akira Kunimatsu et al.   JAPANESE JOURNAL OF RADIOLOGY

EANO guidelines for the diagnosis and treatment of meningiomas

(2016) Roland Goldbrunner et al.   LANCET ONCOLOGY

Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review

(2016) Amy Yao et al.   NEUROSURGICAL REVIEW

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Signal Intensities in Preoperative MRI Do Not Reflect Proliferative Activity in Meningioma

(2016) Stefan Schob et al.   Translational Oncology

Variants of meningiomas: a review of imaging findings and clinical features

(2016) Akira Kunimatsu et al.   Japanese Journal of Radiology

Re-Evaluating Simpson Grade I, II, and III Resections in Neurosurgical Treatment of World Health Organization Grade I Meningiomas

(2016) Alvaro Otero-Rodriguez et al.   World Neurosurgery

Glioblastoma Segmentation: Comparison of Three Different Software Packages

(2016) Even Hovig Fyllingen et al.   PLoS One

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

Multimodality Brain Tumor Imaging: MR Imaging, PET, and PET/MR Imaging

(2015) J. R. Fink et al.   JOURNAL OF NUCLEAR MEDICINE

Deep learning

(2015) Yann LeCun et al.   NATURE

Rapid and Accurate MRI Segmentation of Peritumoral Brain Edema in Meningiomas

(2015) F. Latini et al.   Clinical Neuroradiology

Automated delineation of brain structures in patients undergoing radiotherapy for primary brain tumors: From atlas to dose–volume histograms

(2014) Manuel Conson et al.   RADIOTHERAPY AND ONCOLOGY

Computer-aided volumetric analysis as a sensitive tool for the management of incidental meningiomas

(2012) Victor Chang et al.   ACTA NEUROCHIRURGICA

Automatic segmentation of meningioma from non-contrasted brain MRI integrating fuzzy clustering and region growing

(2011) Thomas M Hsieh et al.   BMC Medical Informatics and Decision Making

Determination of Grade and Subtype of Meningiomas by Using Histogram Analysis of Diffusion-Tensor Imaging Metrics

(2011) Sumei Wang et al.   RADIOLOGY