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MR and CT data with multiobserver delineations of organs in the pelvic area—Part of the Gold Atlas project

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00066-015-0868-5openalex-snapshot
Converting from CT- to MRI-only-based target definition in radiotherapy of localized prostate cancer
inferredcites →https://doi.org/10.1016/j.ijrobp.2015.08.045openalex-snapshot
Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences
inferredcites →https://doi.org/10.1016/j.media.2013.12.002openalex-snapshot
Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge
inferredcites →https://doi.org/10.1016/j.radonc.2007.10.034openalex-snapshot
MRI/linac integration
inferredcites →https://doi.org/10.1016/j.semradonc.2014.02.003openalex-snapshot
The Value of Magnetic Resonance Imaging for Radiotherapy Planning
inferredcites →https://doi.org/10.1016/j.semradonc.2014.02.005openalex-snapshot
Counterpoint: Opportunities and Challenges of a Magnetic Resonance Imaging–Only Radiotherapy Work Flow
inferredcites →https://doi.org/10.1016/j.semradonc.2014.02.008openalex-snapshot
The ViewRay System: Magnetic Resonance–Guided and Controlled Radiotherapy
inferredcites →https://doi.org/10.1016/j.semradonc.2014.02.011openalex-snapshot
The Rotating Biplanar Linac–Magnetic Resonance Imaging System
inferredcites →https://doi.org/10.1016/j.semradonc.2014.02.015openalex-snapshot
The Australian Magnetic Resonance Imaging–Linac Program
inferredcites →https://doi.org/10.1016/s0167-8140(02)00440-1openalex-snapshot
Radiotherapy treatment planning of prostate cancer using magnetic resonance imaging alone
inferredcites →https://doi.org/10.1109/tmi.2004.828354openalex-snapshot
Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation
inferredcites →https://doi.org/10.1109/tmi.2009.2035616openalex-snapshot
elastix: A Toolbox for Intensity-Based Medical Image Registration
inferredcites →https://doi.org/10.1118/1.4931417openalex-snapshot
Technical Note: MRI only prostate radiotherapy planning using the statistical decomposition algorithm
inferredcites →https://doi.org/10.1120/jacmp.v17i4.6051openalex-snapshot
The feasibility of atlas‐based automatic segmentation of MRI for H&N radiotherapy planning
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Decreased 3D observer variation with matched CT-MRI, for target delineation in Nasopharynx cancer
inferredcites →https://doi.org/10.1186/1748-717x-8-126openalex-snapshot
Variability in prostate and seminal vesicle delineations defined on magnetic resonance images, a multi-observer, -center and -sequence study
inferredcites →https://doi.org/10.1186/s12880-015-0068-xopenalex-snapshot
Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
inferredcites →https://doi.org/10.1186/s13014-016-0747-yopenalex-snapshot
A review of substitute CT generation for MRI-only radiation therapy
inferredcites →https://doi.org/10.1259/bjr/41321492openalex-snapshot
New developments in MRI for target volume delineation in radiotherapy
inferredcites →https://doi.org/10.3233/978-1-60750-929-5-586openalex-snapshot
Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK - the Insight Toolkit

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Deep learning‐based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
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Impact of deep learning model uncertainty on manual corrections to MRI‐based auto‐segmentation in prostate cancer radiotherapy
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Evaluation of AI‐based segmentation and synthetic CT generation for MRI‐only prostate radiotherapy planning
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inferred← citeshttps://doi.org/10.1007/978-3-658-44037-4_73openalex-snapshot
Preprocessing Evaluation and Benchmark for Multi-structure Segmentation of the Male Pelvis in MRI on the Gold Atlas Dataset
inferred← citeshttps://doi.org/10.1007/978-981-95-4972-6_12openalex-snapshot
Paired Hierarchical VAEs for Image-to-Image Translation and Cross Reconstruction
inferred← citeshttps://doi.org/10.1007/s10278-026-01900-8openalex-snapshot
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MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrast
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2022.102150openalex-snapshot
CT synthesis from MR in the pelvic area using Residual Transformer Conditional GAN
inferred← citeshttps://doi.org/10.1016/j.compmedimag.2024.102335openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compmedimag.2025.102656openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compmedimag.2026.102804openalex-snapshot
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Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review
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Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning
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Self-consistent recursive diffusion bridge for medical image translation
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A survey of emerging applications of diffusion probabilistic models in MRI
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Cycle-LVDM: Cycle-Consistent Latent Variational Diffusion Model for Unpaired Medical Image Translation
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Dynamic Multi-scale Feature Integration Network for unsupervised MR-CT synthesis
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Initial experience with introducing national guidelines for CT- and MRI-based delineation of organs at risk in radiotherapy
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Autosegmentation based on different-sized training datasets of consistently-curated volumes and impact on rectal contours in prostate cancer radiation therapy
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Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning
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Challenges and opportunities in the development and clinical implementation of artificial intelligence based synthetic computed tomography for magnetic resonance only radiotherapy
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Simulation-based dosimetric and radiobiological modeling of advanced radiotherapy delivery platforms for prostate cancer
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Towards MR contrast independent synthetic CT generation
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Structurally-constrained optical-flow-guided adversarial generation of synthetic CT for MR-only radiotherapy treatment planning
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Semantic structure preservation for accurate multi-modal glioma diagnosis
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CT Synthesis from MRI Using GAN Architecture
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Proton range uncertainty caused by synthetic computed tomography generated with deep learning from pelvic magnetic resonance imaging
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MR to CT synthesis with multicenter data in the pelvic area using a conditional generative adversarial network
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Investigating conditional GAN performance with different generator architectures, an ensemble model, and different MR scanners for MR-sCT conversion
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Quasi-supervised MR-CT image conversion based on unpaired data
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Development of age-specific population-based paediatric computational phantoms for image-based data mining and other radiotherapy applications
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Evaluation of performance of pelvic CT-MR deformable image registration using two software programs
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Segmentation Algorithm of Medical Exercise Rehabilitation Image Based on HFCNN and IoT
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Frequency-guided Diffusion Model and Adaptive Weighting Loss for Medical Image Translation
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Cross-Modality Image Adaptation Based on Volumetric Intensity Gaussian Process Models (VIGPM)
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A Style-Based Model for MRI to CT Image Translation
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A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers
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Auto Contouring of OAR in Pelvic CT Images Using an Encoder-Decoder Based Deep Residual Network
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Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction
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CT-MIE: Computed Tomography Multi-Task Image Enhancement via Vision-Language Model
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Pyramid Hierarchical Masked Diffusion Model for Imaging Synthesis
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A High-Frequency Re-Optimization Network for MRI Reconstruction with CT as the Prior
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Dirichlet-Based Evidential Loss for Uncertainty-Aware Medical Image Segmentation
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Structure Preserving Adversarial Diffusion for Unpaired Medical Image Synthesis
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Adaptive Gradient Domain Normalization for One-Sided Unsupervised Medical Image Synthesis
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ResViT: Residual Vision Transformers for Multimodal Medical Image Synthesis
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Improving MR image quality with a multi-task model, using convolutional losses
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Synthetic CT generation for pelvic cases based on deep learning in multi-center datasets
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Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active Learning
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Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
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Artificial intelligence generated content (AIGC) in medicine: A narrative review
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Deep learning in MR-guided radiotherapy
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Calcul de dose à partir d'images CBCT et IRM en radiothérapie externe
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