SPINEPS - Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation
暂无分享,去创建一个
Bjoern H Menze | A. Sekuboyina | B. Endemann | F. Kofler | J. Kirschke | Matan Atad | Thoralf Niendorf | Stefanie Bette | T. Pischon | Robert Graf | Hendrik Moller | Daniel Rueckert | Joachim Schmitt | Benjamin Keinert | Felix Streckenbach | Hanna Schon | T. Kroencke | Stefan N. Willich | Thomas Keil | Stefan N Willich
[1] Bjoern H Menze,et al. Panoptica - instance-wise evaluation of 3D semantic and instance segmentation maps , 2023, ArXiv.
[2] Bjoern H Menze,et al. Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation , 2023, European Radiology Experimental.
[3] Wei Liao,et al. From CNN to Transformer: A Review of Medical Image Segmentation Models , 2023, Journal of imaging informatics in medicine.
[4] B. Ginneken,et al. Lumbar spine segmentation in MR images: a dataset and a public benchmark , 2023, Scientific data.
[5] M. Iglesia-Vayá,et al. Automatic semantic segmentation of the lumbar spine: Clinical applicability in a multi-parametric and multi-center study on magnetic resonance images , 2023, Artif. Intell. Medicine.
[6] T. Beyer,et al. Application of a Deep Learning Approach to Analyze Large-Scale MRI Data of the Spine , 2022, Healthcare.
[7] F. Isensee,et al. Extending nnU-Net is all you need , 2022, Bildverarbeitung für die Medizin.
[8] M. Breeuwer,et al. Multi-scanner and multi-modal lumbar vertebral body and intervertebral disc segmentation database , 2022, Scientific data.
[9] D. Sakai,et al. Imaging Evaluation of Intervertebral Disc Degeneration and Painful Discs—Advances and Challenges in Quantitative MRI , 2022, Diagnostics.
[10] Zelin Shi,et al. Automatic lumbar spinal MRI image segmentation with a multi-scale attention network , 2021, Neural Computing and Applications.
[11] Jens Petersen,et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation , 2020, Nature Methods.
[12] Nicol'as P'erez de Olaguer,et al. VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images , 2020, Medical Image Anal..
[13] Antonio J. Plaza,et al. Image Segmentation Using Deep Learning: A Survey , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Dhiya Al-Jumeily,et al. Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[15] Jan S. Kirschke,et al. Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior , 2018, MICCAI.
[16] Julien Cohen-Adad,et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data , 2017, NeuroImage.
[17] Hao Chen,et al. Automatic Localization and Identification of Vertebrae in Spine CT via a Joint Learning Model with Deep Neural Networks , 2015, MICCAI.
[18] J. Linseisen,et al. Whole-Body MR Imaging in the German National Cohort: Rationale, Design, and Technical Background. , 2015, Radiology.
[19] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[20] Brian B. Avants,et al. N4ITK: Improved N3 Bias Correction , 2010, IEEE Transactions on Medical Imaging.
[21] Dongmei Sun,et al. An Efficient Method for Segmentation of MRI Spine Images , 2007, 2007 IEEE/ICME International Conference on Complex Medical Engineering.
[22] Jing Zhang. Biomarker estimation from medical images: segmentation-based and segmentation-free approaches. (Estimation des biomarqueurs à partir d'images médicales: approches basées sur la segmentation et sans segmentation) , 2022 .
[23] Mohammad A. Alzubaidi,et al. Semi-automated spine and intervertebral disk detection and segmentation from whole spine MR images , 2021, Informatics in Medicine Unlocked.
[24] Horst Bischof,et al. Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net , 2020, VISIGRAPP.