Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer
Fuente:
arXiv
Guardado en:
| Autores principales: | Tie, Xin, Chen, Weijie, Huemann, Zachary, Schott, Brayden, Liu, Nuohao, Bradshaw, Tyler J. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
por: Gheshlaghi, Tara, et al.
Publicado: (2023)
por: Gheshlaghi, Tara, et al.
Publicado: (2023)
Optimizing MV CBCT Imaging Protocols Using NTCP and Secondary Cancer Risk: A Multi-Site Study in Breast, Pelvic, and Head & Neck Radiotherapy
por: Duong, Thanh Tai, et al.
Publicado: (2025)
por: Duong, Thanh Tai, et al.
Publicado: (2025)
ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction
por: Hu, Yuyang, et al.
Publicado: (2024)
por: Hu, Yuyang, et al.
Publicado: (2024)
Photon-Counting CT in Cancer Radiotherapy: Technological Advances and Clinical Benefits
por: Shah, Keyur D., et al.
Publicado: (2024)
por: Shah, Keyur D., et al.
Publicado: (2024)
Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model
por: Dong, Yafei, et al.
Publicado: (2024)
por: Dong, Yafei, et al.
Publicado: (2024)
Multisession Longitudinal Dynamic MRI Incorporating Patient-Specific Prior Image Information Across Time
por: Chen, Jingjia, et al.
Publicado: (2025)
por: Chen, Jingjia, et al.
Publicado: (2025)
Validation of Fully-Automated Deep Learning-Based Fibroglandular Tissue Segmentation for Efficient and Reliable Quantitation of Background Parenchymal Enhancement in Breast MRI
por: Kuo, Yu-Tzu, et al.
Publicado: (2025)
por: Kuo, Yu-Tzu, et al.
Publicado: (2025)
VAST: Vascular Flow Analysis and Segmentation for Intracranial 4D Flow MRI
por: Singh, Abhishek, et al.
Publicado: (2026)
por: Singh, Abhishek, et al.
Publicado: (2026)
CATNUS: Coordinate-Aware Thalamic Nuclei Segmentation Using T1-Weighted MRI
por: Feng, Anqi, et al.
Publicado: (2025)
por: Feng, Anqi, et al.
Publicado: (2025)
Let Distortion Guide Restoration (DGR): A physics-informed learning framework for Prostate Diffusion MRI
por: Long, Ziyang, et al.
Publicado: (2026)
por: Long, Ziyang, et al.
Publicado: (2026)
Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction
por: Leynes, Andrew P., et al.
Publicado: (2022)
por: Leynes, Andrew P., et al.
Publicado: (2022)
Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-guided Radiotherapy
por: Moradi, Nikoo, et al.
Publicado: (2024)
por: Moradi, Nikoo, et al.
Publicado: (2024)
On Real-time Image Reconstruction with Neural Networks for MRI-guided Radiotherapy
por: Waddington, David E. J., et al.
Publicado: (2022)
por: Waddington, David E. J., et al.
Publicado: (2022)
Deep Evidential Learning for Radiotherapy Dose Prediction
por: Tan, Hai Siong, et al.
Publicado: (2024)
por: Tan, Hai Siong, et al.
Publicado: (2024)
Image Reconstruction with B0 Inhomogeneity using an Interpretable Deep Unrolled Network on an Open-bore MRI-Linac
por: Shan, Shanshan, et al.
Publicado: (2024)
por: Shan, Shanshan, et al.
Publicado: (2024)
CEST MR fingerprinting (CEST-MRF) for Brain Tumor Quantification Using EPI Readout and Deep Learning Reconstruction
por: Cohen, Ouri, et al.
Publicado: (2021)
por: Cohen, Ouri, et al.
Publicado: (2021)
Deep Learning-Based Automated Post-Operative Gross Tumor Volume Segmentation in Glioblastoma Patients
por: Muthusivarajan, Rajarajeswari, et al.
Publicado: (2024)
por: Muthusivarajan, Rajarajeswari, et al.
Publicado: (2024)
Robust Real-time Segmentation of Bio-Morphological Features in Human Cherenkov Imaging during Radiotherapy via Deep Learning
por: Wang, Shiru, et al.
Publicado: (2024)
por: Wang, Shiru, et al.
Publicado: (2024)
Comparative Analysis of Deep Learning Architectures for Breast Region Segmentation with a Novel Breast Boundary Proposal
por: Narimani, Sam, et al.
Publicado: (2024)
por: Narimani, Sam, et al.
Publicado: (2024)
Segmentation of spinal rootlets across MRI contrasts with RootletSeg
por: Krejci, Katerina, et al.
Publicado: (2025)
por: Krejci, Katerina, et al.
Publicado: (2025)
Deep Learning-based Intraoperative MRI Reconstruction
por: Ottesen, Jon André, et al.
Publicado: (2024)
por: Ottesen, Jon André, et al.
Publicado: (2024)
FlowMRI-Net: A Generalizable Self-Supervised 4D Flow MRI Reconstruction network
por: Jacobs, Luuk, et al.
Publicado: (2024)
por: Jacobs, Luuk, et al.
Publicado: (2024)
Low-Cost and Detunable Wireless Resonator Glasses for Enhanced Eye MRI with Concurrent High-Quality Whole Brain MRI
por: Lu, Ming, et al.
Publicado: (2025)
por: Lu, Ming, et al.
Publicado: (2025)
Image denoising and model-independent parameterization for improving IVIM MRI
por: Sample, Caleb, et al.
Publicado: (2024)
por: Sample, Caleb, et al.
Publicado: (2024)
Bayesian Insights into Exchange and Restriction in Gray Matter Diffusion MRI
por: Jallais, Maëliss, et al.
Publicado: (2025)
por: Jallais, Maëliss, et al.
Publicado: (2025)
Combined Diffusion-Relaxation MRI to Assess Muscle Microstructure and Composition
por: Figini, Matteo, et al.
Publicado: (2026)
por: Figini, Matteo, et al.
Publicado: (2026)
A 3D-Hybrid-Shot Spiral Sequence for Hyperpolarized $^{13}$C Imaging
por: Tyler, Andrew, et al.
Publicado: (2020)
por: Tyler, Andrew, et al.
Publicado: (2020)
Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
por: Blumenthal, Moritz, et al.
Publicado: (2024)
por: Blumenthal, Moritz, et al.
Publicado: (2024)
Resolving quantitative MRI model degeneracy in self-supervised machine learning
por: Minore, Giulio V., et al.
Publicado: (2025)
por: Minore, Giulio V., et al.
Publicado: (2025)
A Classification-Based Adaptive Segmentation Pipeline: Feasibility Study Using Polycystic Liver Disease and Metastases from Colorectal Cancer CT Images
por: Wang, Peilong, et al.
Publicado: (2024)
por: Wang, Peilong, et al.
Publicado: (2024)
Contrast-Optimized Basis Functions for Self-Navigated Motion Correction in Quantitative MRI
por: Marchetto, Elisa, et al.
Publicado: (2024)
por: Marchetto, Elisa, et al.
Publicado: (2024)
Time-Resolved Reconstruction of Motion, Force, and Stiffness using Spectro-Dynamic MRI
por: van Riel, Max H. C., et al.
Publicado: (2023)
por: van Riel, Max H. C., et al.
Publicado: (2023)
A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging
por: Cooley, Clarissa Z., et al.
Publicado: (2020)
por: Cooley, Clarissa Z., et al.
Publicado: (2020)
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
por: Yiasemis, George, et al.
Publicado: (2024)
por: Yiasemis, George, et al.
Publicado: (2024)
Accelerating Quantitative MRI using Subspace Multiscale Energy Model (SS-MuSE)
por: Chen, Yan, et al.
Publicado: (2025)
por: Chen, Yan, et al.
Publicado: (2025)
Detecting Early Kidney Allograft Fibrosis with Multi-b-value Spectral Diffusion MRI
por: Liu, Mira M., et al.
Publicado: (2025)
por: Liu, Mira M., et al.
Publicado: (2025)
Is fitting error a reliable metric for assessing deformable motion correction in quantitative MRI?
por: Wang, Fanwen, et al.
Publicado: (2025)
por: Wang, Fanwen, et al.
Publicado: (2025)
ACE-Net: AutofoCus-Enhanced Convolutional Network for Field Imperfection Estimation with application to high b-value spiral Diffusion MRI
por: Gao, Mengze, et al.
Publicado: (2024)
por: Gao, Mengze, et al.
Publicado: (2024)
Design of 3D Non-Cartesian Trajectories for Fast Volumetric MRI via Analytic Coordinate Discretization
por: Jang, Kwang Eun, et al.
Publicado: (2025)
por: Jang, Kwang Eun, et al.
Publicado: (2025)
Spatially Regularized Super-Resolved Constrained Spherical Deconvolution (SR$^2$-CSD) of Diffusion MRI Data
por: Taskin, Ekin, et al.
Publicado: (2024)
por: Taskin, Ekin, et al.
Publicado: (2024)
Ejemplares similares
-
A Cascade Transformer-based Model for 3D Dose Distribution Prediction in Head and Neck Cancer Radiotherapy
por: Gheshlaghi, Tara, et al.
Publicado: (2023) -
Optimizing MV CBCT Imaging Protocols Using NTCP and Secondary Cancer Risk: A Multi-Site Study in Breast, Pelvic, and Head & Neck Radiotherapy
por: Duong, Thanh Tai, et al.
Publicado: (2025) -
ADOBI: Adaptive Diffusion Bridge For Blind Inverse Problems with Application to MRI Reconstruction
por: Hu, Yuyang, et al.
Publicado: (2024) -
Photon-Counting CT in Cancer Radiotherapy: Technological Advances and Clinical Benefits
por: Shah, Keyur D., et al.
Publicado: (2024) -
Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model
por: Dong, Yafei, et al.
Publicado: (2024)