k-strip: A novel segmentation algorithm in k-space for the application of skull stripping

Medical deep learning—A systematic meta-review

(2022) Jan Egger et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

CT-based whole-body tumor volumetry versus RECIST 1.1: Feasibility and implications for inter-reader variability

(2021) Markus Zimmermann et al.   EUROPEAN JOURNAL OF RADIOLOGY

Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact

(2021) Jan Egger et al.   PeerJ Computer Science

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Phase-Contrast MRI: Physics, Techniques, and Clinical Applications

(2020) David T. Wymer et al.   RADIOGRAPHICS

Machine and deep learning methods for radiomics

(2020) Michele Avanzo et al.   MEDICAL PHYSICS

Chemical shift–based prospective k‐space anonymization

(2020) Hendrik Mattern et al.   MAGNETIC RESONANCE IN MEDICINE

Automatic Skull Stripping of Rat and Mouse Brain MRI Data Using U-Net

(2020) Li-Ming Hsu et al.   Frontiers in Neuroscience

Automated brain extraction of multisequence MRI using artificial neural networks

(2019) Fabian Isensee et al.   HUMAN BRAIN MAPPING

${k}$ -Space Deep Learning for Accelerated MRI

(2019) Yoseo Han et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement

(2018) Roberto Souza et al.   NEUROIMAGE

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

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

Robust skull stripping using multiple MR image contrasts insensitive to pathology

(2017) Snehashis Roy et al.   NEUROIMAGE

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping

(2016) Jens Kleesiek et al.   NEUROIMAGE

The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data

(2016) Benjamin Puccio et al.   GigaScience

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

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

Methods on Skull Stripping of MRI Head Scan Images—a Review

(2015) P. Kalavathi et al.   JOURNAL OF DIGITAL IMAGING

Optimized Brain Extraction for Pathological Brains (optiBET)

(2014) Evan S. Lutkenhoff et al.   PLoS One

Radiomics: Extracting more information from medical images using advanced feature analysis

(2012) Philippe Lambin et al.   EUROPEAN JOURNAL OF CANCER

A Medical Software System for Volumetric Analysis of Cerebral Pathologies in Magnetic Resonance Imaging (MRI) Data

(2012) Jan Egger et al.   JOURNAL OF MEDICAL SYSTEMS

BEaST: Brain extraction based on nonlocal segmentation technique

(2011) Simon F. Eskildsen et al.   NEUROIMAGE

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration

(2009) Arno Klein et al.   NEUROIMAGE

Analysis of manual segmentation in paranasal CT images

(2008) Kathrin Tingelhoff et al.   EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY

Identification of calcification with MRI using susceptibility-weighted imaging: A case study

(2008) Zhen Wu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING