Comparison of patch-based conditional generative adversarial neural net models with emphasis on model robustness for use in head and neck cases for mr-only …
P Klages, I Benslimane, S Riyahi, J Jiang… - arXiv preprint arXiv …, 2019 - arxiv.org
A total of twenty paired CT and MR images were used in this study to investigate two
conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating …
conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating …
Evaluating the Hounsfield unit assignment and dose differences between CT‐based standard and deep learning‐based synthetic CT images for MRI‐only radiation …
K Singhrao, CL Dugan, C Calvin… - Journal of Applied …, 2024 - Wiley Online Library
Background Magnetic resonance image only (MRI‐only) simulation for head and neck
(H&N) radiotherapy (RT) could allow for single‐image modality planning with excellent soft …
(H&N) radiotherapy (RT) could allow for single‐image modality planning with excellent soft …
Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network
AM Dinkla, MC Florkow, M Maspero… - Medical …, 2019 - Wiley Online Library
Purpose To develop and evaluate a patch‐based convolutional neural network (CNN) to
generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only …
generate synthetic computed tomography (sCT) images for magnetic resonance (MR)‐only …
Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma
S Yuan, X Chen, Y Liu, J Zhu, K Men, J Dai - Radiation Oncology, 2023 - Springer
Background Although magnetic resonance imaging (MRI)-to-computed tomography (CT)
synthesis studies based on deep learning have significantly progressed, the similarity …
synthesis studies based on deep learning have significantly progressed, the similarity …
Contouring Analysis on Synthetic Contrast-Enhanced MR from GRMM-GAN and Implications on MR-Guide Radiation Therapy
Purpose/Objective (s) MR-guided linear accelerators have been commercialized making MR-
only planning and adaptation an appealing alternative circumventing MR-CT registration …
only planning and adaptation an appealing alternative circumventing MR-CT registration …
Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning
R Vajpayee, V Agrawal, G Krishnamurthi - Scientific Reports, 2022 - nature.com
The rapid progress in image-to-image translation methods using deep neural networks has
led to advancements in the generation of synthetic CT (sCT) in MR-only radiotherapy …
led to advancements in the generation of synthetic CT (sCT) in MR-only radiotherapy …
Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
M Maspero, MHF Savenije, AM Dinkla… - Physics in Medicine …, 2018 - iopscience.iop.org
To enable magnetic resonance (MR)-only radiotherapy and facilitate modelling of radiation
attenuation in humans, synthetic CT (sCT) images need to be generated. Considering the …
attenuation in humans, synthetic CT (sCT) images need to be generated. Considering the …
Deep MR to CT synthesis using unpaired data
JM Wolterink, AM Dinkla, MHF Savenije… - … and Synthesis in …, 2017 - Springer
MR-only radiotherapy treatment planning requires accurate MR-to-CT synthesis. Current
deep learning methods for MR-to-CT synthesis depend on pairwise aligned MR and CT …
deep learning methods for MR-to-CT synthesis depend on pairwise aligned MR and CT …
Mitigating misalignment in MRI-to-CT synthesis for improved synthetic CT generation: an iterative refinement and knowledge distillation approach
L Zhou, X Ni, Y Kong, H Zeng, M Xu… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. Deep learning has shown promise in generating synthetic CT (sCT) from
magnetic resonance imaging (MRI). However, the misalignment between MRIs and CTs has …
magnetic resonance imaging (MRI). However, the misalignment between MRIs and CTs has …
Synthetic CT generation based on T2 weighted MRI of nasopharyngeal carcinoma (NPC) using a deep convolutional neural network (DCNN)
Purpose: There is an emerging interest of applying magnetic resonance imaging (MRI) to
radiotherapy (RT) due to its superior soft tissue contrast for accurate target delineation as …
radiotherapy (RT) due to its superior soft tissue contrast for accurate target delineation as …