Guardado en:
| Autores principales: | Liu, Yan, Jha, Abhinav K. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2603.27122 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
How accurately can quantitative imaging methods be ranked without ground truth: An upper bound on no-gold-standard evaluation
por: Liu, Yan, et al.
Publicado: (2024)
por: Liu, Yan, et al.
Publicado: (2024)
WIN-PDQ: A Wiener-estimator-based projection-domain quantitative SPECT method that accounts for intra-regional uptake heterogeneity
por: Li, Zekun, et al.
Publicado: (2024)
por: Li, Zekun, et al.
Publicado: (2024)
Extending Regression Without Truth to Integrate Ground-Truth Measurements for Evaluating Quantitative Imaging Methods with Patient Data
por: Liu, Yan, et al.
Publicado: (2026)
por: Liu, Yan, et al.
Publicado: (2026)
Joint regional uptake quantification of Thorium-227 and Radium-223 using a multiple-energy-window projection-domain quantitative SPECT method
por: Li, Zekun, et al.
Publicado: (2023)
por: Li, Zekun, et al.
Publicado: (2023)
Development and in silico imaging trial evaluation of a deep‐learning‐based transmission‐less attenuation compensation method for DaT SPECT
por: Zitong Yu, et al.
Publicado: (2025)
por: Zitong Yu, et al.
Publicado: (2025)
Development and in silico imaging trial evaluation of a deep-learning-based transmission-less attenuation compensation method for DaT SPECT
por: Yu, Zitong, et al.
Publicado: (2025)
por: Yu, Zitong, et al.
Publicado: (2025)
Deep learning generation of preclinical positron emission tomography (PET) images from low‐count PET with task‐based performance assessment
por: Kaushik Dutta, et al.
Publicado: (2024)
por: Kaushik Dutta, et al.
Publicado: (2024)
CTLESS: A scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT
por: Yu, Zitong, et al.
Publicado: (2024)
por: Yu, Zitong, et al.
Publicado: (2024)
ISIT-GEN: An in silico imaging trial to assess the inter-scanner generalizability of CTLESS for myocardial perfusion SPECT on defect-detection task
por: Yu, Zitong, et al.
Publicado: (2025)
por: Yu, Zitong, et al.
Publicado: (2025)
Performance evaluation and quantitative comparison of two 4DCT imaging respiratory systems using deformable image registration
por: Ali Al‐Zein, et al.
Publicado: (2025)
por: Ali Al‐Zein, et al.
Publicado: (2025)
Motion correction of 3D dynamic contrast‐enhanced ultrasound imaging without anatomical B‐Mode images: Pilot evaluation in eight patients
por: Jia‐Shu Chen, et al.
Publicado: (2024)
por: Jia‐Shu Chen, et al.
Publicado: (2024)
Image quality evaluation in deep‐learning‐based CT noise reduction using virtual imaging trial methods: Contrast‐dependent spatial resolution
por: Zhongxing Zhou, et al.
Publicado: (2024)
por: Zhongxing Zhou, et al.
Publicado: (2024)
Comparative evaluation of dual‐layer spectral CT protocols for mouse chest imaging
por: Shupei Zhong, et al.
Publicado: (2026)
por: Shupei Zhong, et al.
Publicado: (2026)
Can patient-specific acquisition protocol improve performance on defect detection task in myocardial perfusion SPECT?
por: Choi, Nu Ri, et al.
Publicado: (2024)
por: Choi, Nu Ri, et al.
Publicado: (2024)
Real‐time radiation beam imaging on an MR linear accelerator using quantitative T 1 mapping
por: Brandon T. T. Tran, et al.
Publicado: (2025)
por: Brandon T. T. Tran, et al.
Publicado: (2025)
Lateral response artifact correction method using image stitching technique in radiochromic film dosimetry
por: Hideharu Miura, et al.
Publicado: (2024)
por: Hideharu Miura, et al.
Publicado: (2024)
U-net for spectral quantitative microwave breast imaging
por: Diès, Ambroise, et al.
Publicado: (2025)
por: Diès, Ambroise, et al.
Publicado: (2025)
Knowledge‐based trade‐off prediction for NSCLC treatment planning using multi‐output regression
por: Tenzin Kunkyab, et al.
Publicado: (2025)
por: Tenzin Kunkyab, et al.
Publicado: (2025)
A physics‐driven neural network with parameter embedding for generating quantitative MR maps from weighted images
por: Lingjing Chen, et al.
Publicado: (2026)
por: Lingjing Chen, et al.
Publicado: (2026)
Comprehensive clinical evaluation of novel 4DCT‐based lung function imaging methods
por: Ehsan Golkar, et al.
Publicado: (2025)
por: Ehsan Golkar, et al.
Publicado: (2025)
What is Implementation Science; and Why It Matters for Bridging the Artificial Intelligence Innovation-to-Application Gap in Medical Imaging
por: Fayaz-Bakhsh, Ahmad, et al.
Publicado: (2025)
por: Fayaz-Bakhsh, Ahmad, et al.
Publicado: (2025)
Objective Task-based Evaluation of Quantitative Medical Imaging Methods: Emerging Frameworks and Future Directions
por: Liu, Yan, et al.
Publicado: (2025)
por: Liu, Yan, et al.
Publicado: (2025)
Comparative evaluation of image‐guided radiation therapy (IGRT)‐based dose calculation accuracy using cone‐beam, megavoltage, and kilovoltage CT modalities
por: Sirawit Saobai, et al.
Publicado: (2025)
por: Sirawit Saobai, et al.
Publicado: (2025)
An efficient method to evaluate the mechanical accuracy of MR‐Linac configured with an MV panel
por: Zhihui Hu, et al.
Publicado: (2025)
por: Zhihui Hu, et al.
Publicado: (2025)
Chinese reference population: Open‐source age‐dependent computational phantoms of reference Chinese population
por: Siyi Huang, et al.
Publicado: (2025)
por: Siyi Huang, et al.
Publicado: (2025)
Deep learning model for coronary artery segmentation and quantitative stenosis detection in angiographic images
por: Baixiang Huang, et al.
Publicado: (2025)
por: Baixiang Huang, et al.
Publicado: (2025)
A hybrid training database and evaluation benchmark for assessing metal artifact reduction methods for X‐ray CT imaging
por: Nils Peters, et al.
Publicado: (2025)
por: Nils Peters, et al.
Publicado: (2025)
Model‐based perfusion reconstruction with time separation technique in cone‐beam CT dynamic liver perfusion imaging
por: Hana Haseljić, et al.
Publicado: (2025)
por: Hana Haseljić, et al.
Publicado: (2025)
Extracting quantitative biological information from brightfield cell images using deep learning
por: Helgadottir, Saga, et al.
Publicado: (2020)
por: Helgadottir, Saga, et al.
Publicado: (2020)
Introducing a novel sub‐millimeter lung CT image registration error quantitation tool
por: Peter Boyle, et al.
Publicado: (2024)
por: Peter Boyle, et al.
Publicado: (2024)
Automatic joint inflammation estimation based on regression neural networks
por: Yanli Li, et al.
Publicado: (2025)
por: Yanli Li, et al.
Publicado: (2025)
Towards quantitative ionizing radiation acoustic imaging (iRAI) for radiation dose measurement: Validation from simulations to experiments
por: Yaocai Huang, et al.
Publicado: (2025)
por: Yaocai Huang, et al.
Publicado: (2025)
An efficient method for evaluating the lead equivalence of x‐ray radiation protective equipment using an analytical spectrum model
por: Sewa Surdashi, et al.
Publicado: (2026)
por: Sewa Surdashi, et al.
Publicado: (2026)
Optimization of reconstruction in quantitative brain PET images: Benefits from PSF modeling and correction of edge artifacts
por: Emilie Verrecchia‐Ramos, et al.
Publicado: (2024)
por: Emilie Verrecchia‐Ramos, et al.
Publicado: (2024)
Simplified image‐based dosimetry using planar images and patient‐specific S‐values
por: Keon Min Kim, et al.
Publicado: (2024)
por: Keon Min Kim, et al.
Publicado: (2024)
Automatic skull-template alignment without a guidance image
por: Bates, Oscar, et al.
Publicado: (2026)
por: Bates, Oscar, et al.
Publicado: (2026)
Unconstrained quantitative magnetization transfer imaging: disentangling T1 of the free and semi-solid spin pools
por: Assländer, Jakob, et al.
Publicado: (2023)
por: Assländer, Jakob, et al.
Publicado: (2023)
Phantom evaluation of spectral performance in photon‐counting CT for breast cancer imaging
por: Liqiang Ren, et al.
Publicado: (2026)
por: Liqiang Ren, et al.
Publicado: (2026)
Automatic calculation method for stenosis ratio based on dialysis access ultrasound image segmentation
por: Fengxin Shi, et al.
Publicado: (2024)
por: Fengxin Shi, et al.
Publicado: (2024)
Conventional versus Monte Carlo SPECT reconstruction of Lu‐177: Toward reduced bias and variance in quantitative imaging
por: Lucas A. Polson, et al.
Publicado: (2025)
por: Lucas A. Polson, et al.
Publicado: (2025)
Ejemplares similares
-
How accurately can quantitative imaging methods be ranked without ground truth: An upper bound on no-gold-standard evaluation
por: Liu, Yan, et al.
Publicado: (2024) -
WIN-PDQ: A Wiener-estimator-based projection-domain quantitative SPECT method that accounts for intra-regional uptake heterogeneity
por: Li, Zekun, et al.
Publicado: (2024) -
Extending Regression Without Truth to Integrate Ground-Truth Measurements for Evaluating Quantitative Imaging Methods with Patient Data
por: Liu, Yan, et al.
Publicado: (2026) -
Joint regional uptake quantification of Thorium-227 and Radium-223 using a multiple-energy-window projection-domain quantitative SPECT method
por: Li, Zekun, et al.
Publicado: (2023) -
Development and in silico imaging trial evaluation of a deep‐learning‐based transmission‐less attenuation compensation method for DaT SPECT
por: Zitong Yu, et al.
Publicado: (2025)