Cargando…

Bayesian Fully Convolutional Networks for Brain Image Registration

The purpose of medical image registration is to find geometric transformations that align two medical images so that the corresponding voxels on two images are spatially consistent. Nonrigid medical image registration is a key step in medical image processing, such as image comparison, data fusion,...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cui, Kunpeng, Fu, Panpan, Li, Yinghao, Lin, Yusong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8331272/ https://www.ncbi.nlm.nih.gov/pubmed/34354807 http://dx.doi.org/10.1155/2021/5528160

Ejemplares similares

DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks
por: Ni, Hong, et al.
Publicado: (2020)

MDReg‐Net: Multi‐resolution diffeomorphic image registration using fully convolutional networks with deep self‐supervision
por: Li, Hongming, et al.
Publicado: (2022)

3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks
por: Ren, Jiahao, et al.
Publicado: (2023)

Weakly-supervised convolutional neural networks for multimodal image registration
por: Hu, Yipeng, et al.
Publicado: (2018)

Brain CT registration using hybrid supervised convolutional neural network
por: Yuan, Hongmei, et al.
Publicado: (2021)

Building Corner Detection in Aerial Images with Fully Convolutional Networks
por: Song, Weigang, et al.
Publicado: (2019)

Fully Convolutional Network for the Semantic Segmentation of Medical Images: A Survey
por: Huang, Sheng-Yao, et al.
Publicado: (2022)

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
por: Bai, Wenjia, et al.
Publicado: (2018)

Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks
por: Dong, Jie, et al.
Publicado: (2022)

End‐to‐end unsupervised cycle‐consistent fully convolutional network for 3D pelvic CT‐MR deformable registration
por: Guo, Yi, et al.
Publicado: (2020)

Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks
por: Sheikhzadeh, Fahime, et al.
Publicado: (2018)

Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images
por: Hasenstab, Kyle A., et al.
Publicado: (2019)

Multi-Classification of Brain Tumor MRI Images Using Deep Convolutional Neural Network with Fully Optimized Framework
por: Irmak, Emrah
Publicado: (2021)

An Unsupervised 3D Image Registration Network for Brain MRI Deformable Registration
por: Huang, Min, et al.
Publicado: (2022)

Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks
por: Yi, Faliu, et al.
Publicado: (2018)

Flood Detection in Gaofen-3 SAR Images via Fully Convolutional Networks
por: Kang, Wenchao, et al.
Publicado: (2018)

DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas
por: Carey, Harry, et al.
Publicado: (2023)

Fully Automatic Registration Methods for Chest X-Ray Images
por: Lee, Yu-Ching, et al.
Publicado: (2021)

Image Classification of Alzheimer’s Disease Based on External-Attention Mechanism and Fully Convolutional Network
por: Jiang, Mingfeng, et al.
Publicado: (2022)

Automated Contouring of Contrast and Noncontrast Computed Tomography Liver Images With Fully Convolutional Networks
por: Anderson, Brian M., et al.
Publicado: (2020)

Image Decomposition Algorithm for Dual-Energy Computed Tomography via Fully Convolutional Network
por: Xu, Yifu, et al.
Publicado: (2018)

Fully convolutional network for rice seedling and weed image segmentation at the seedling stage in paddy fields
por: Ma, Xu, et al.
Publicado: (2019)

Mapping and Discriminating Rural Settlements Using Gaofen-2 Images and a Fully Convolutional Network
por: Ye, Ziran, et al.
Publicado: (2020)

A convolutional neural network for common coordinate registration of high-resolution histology images
por: Daly, Aidan C, et al.
Publicado: (2021)

Loss Weightings for Improving Imbalanced Brain Structure Segmentation Using Fully Convolutional Networks
por: Sugino, Takaaki, et al.
Publicado: (2021)

Automatic Detection of Cone Photoreceptors With Fully Convolutional Networks
por: Hamwood, Jared, et al.
Publicado: (2019)

Retracted: Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks
por: International, Stem Cells
Publicado: (2023)

Fully Affine Invariant Methods for Cross-Session Registration of Calcium Imaging Data
por: Li, Chunyue, et al.
Publicado: (2020)

Automatic seizure detection based on imaged-EEG signals through fully convolutional networks
por: Gómez, Catalina, et al.
Publicado: (2020)

Fully automatic and robust 3D registration of serial-section microscopic images
por: Wang, Ching-Wei, et al.
Publicado: (2015)

Identification of Near Geographical Origin of Wolfberries by a Combination of Hyperspectral Imaging and Multi-Task Residual Fully Convolutional Network
por: Cui, Jiarui, et al.
Publicado: (2022)

Fully Convolutional Neural Network Deep Learning Model Fully in Patients with Type 2 Diabetes Complicated with Peripheral Neuropathy by High-Frequency Ultrasound Image
por: Liu, Xiaoqiang, et al.
Publicado: (2022)

Bayesian function registration with random truncation
por: Lu, Yi, et al.
Publicado: (2023)

TISNet-Enhanced Fully Convolutional Network with Encoder-Decoder Structure for Tongue Image Segmentation in Traditional Chinese Medicine
por: Huang, Xiaodong, et al.
Publicado: (2020)

Fully automatic wound segmentation with deep convolutional neural networks
por: Wang, Chuanbo, et al.
Publicado: (2020)

Fully convolutional network for automated detection and diagnosis of mammographic masses
por: Kulkarni, Sujata, et al.
Publicado: (2023)

Verte-Box: A Novel Convolutional Neural Network for Fully Automatic Segmentation of Vertebrae in CT Image
por: Li, Bing, et al.
Publicado: (2022)

Fully Convolutional Network and Visual Saliency-Based Automatic Optic Disc Detection in Retinal Fundus Images
por: Yu, Xiaosheng, et al.
Publicado: (2021)

Joint disc and cup segmentation based on recurrent fully convolutional network
por: Gao, Jing, et al.
Publicado: (2020)

Convolutional Neural Networks for Fully Automated Diagnosis of Cardiac Amyloidosis by Cardiac Magnetic Resonance Imaging
por: Agibetov, Asan, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_s3cgu9gau0j9g00s3bjmduq84t