Related references
Note: Only part of the references are listed.An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI
Jonathan Shapey et al.
JOURNAL OF NEUROSURGERY (2021)
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee et al.
NATURE METHODS (2021)
Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth et al.
SCIENTIFIC REPORTS (2021)
Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images
Vaanathi Sundaresan et al.
MEDICAL IMAGE ANALYSIS (2021)
S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation
Luyan Liu et al.
MEDICAL IMAGE ANALYSIS (2021)
Applying artificial intelligence to longitudinal imaging analysis of vestibular schwannoma following radiosurgery
Cheng-chia Lee et al.
SCIENTIFIC REPORTS (2021)
Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm
Jonathan Shapey et al.
SCIENTIFIC DATA (2021)
CHAOS Challenge- combined (CT-MR) healthy abdominal organ segmentation
A. Emre Kavur et al.
MEDICAL IMAGE ANALYSIS (2021)
Artificial Intelligence Opportunities for Vestibular Schwannoma Management Using Image Segmentation and Clinical Decision Tools
Jonathan Shapey et al.
WORLD NEUROSURGERY (2021)
Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation
Hengfei Cui et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2021)
Methods and open-source toolkit for analyzing and visualizing challenge results
Manuel Wiesenfarth et al.
SCIENTIFIC REPORTS (2021)
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
Foivos Diakogiannis et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Cheng Chen et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
BIAS: Transparent reporting of biomedical image analysis challenges
Lena Maier-Hein et al.
MEDICAL IMAGE ANALYSIS (2020)
User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP
Paul A. Yushkevich et al.
NEUROINFORMATICS (2019)
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling
Christian S. Perone et al.
NEUROIMAGE (2019)
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge
Xiahai Zhuang et al.
MEDICAL IMAGE ANALYSIS (2019)
MRI surveillance of vestibular schwannomas without contrast enhancement: Clinical and economic evaluation
Daniel H. Coelho et al.
LARYNGOSCOPE (2018)
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein et al.
NATURE COMMUNICATIONS (2018)
ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Oskar Maier et al.
MEDICAL IMAGE ANALYSIS (2017)
Spinal cord grey matter segmentation challenge
Ferran Prados et al.
NEUROIMAGE (2017)
Data Descriptor: Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features
Spyridon Bakas et al.
SCIENTIFIC DATA (2017)
Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols
Annegreet van Opbroek et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern H. Menze et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2015)
Revisiting the risks of MRI with Gadolinium based contrast agents-review of literature and guidelines
Aurang Z. Khawaja et al.
INSIGHTS INTO IMAGING (2015)
MRF-Based Deformable Registration and Ventilation Estimation of Lung CT
Mattias P. Heinrich et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2013)
The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
Kenneth Clark et al.
JOURNAL OF DIGITAL IMAGING (2013)
Obscuring Surface Anatomy in Volumetric Imaging Data
Mikhail Milchenko et al.
NEUROINFORMATICS (2013)
Growth of untreated vestibular schwannoma: a prospective study Clinical article
Jobin Kotakkathu Varughese et al.
JOURNAL OF NEUROSURGERY (2012)
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration
Mattias P. Heinrich et al.
MEDICAL IMAGE ANALYSIS (2012)
SlicerRT: Radiation therapy research toolkit for 3D Slicer
Csaba Pinter et al.
MEDICAL PHYSICS (2012)
Incidence of vestibular schwannoma and neurofibromatosis 2 in the North West of England over a 10-year period: Higher incidence than previously thought
DGR Evans et al.
OTOLOGY & NEUROTOLOGY (2005)