Cargando…

Correction: Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models

Mostrar otras versiones (1)

Detalles Bibliográficos
Autores principales:	Manikis, Georgios C., Marias, Kostas, Lambregts, Doenja M. J., Nikiforaki, Katerina, van Heeswijk, Miriam M., Bakers, Frans C. H., Beets-Tan, Regina G. H., Papanikolaou, Nikolaos
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2018
Materias:	Correction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903604/ https://www.ncbi.nlm.nih.gov/pubmed/29664935 http://dx.doi.org/10.1371/journal.pone.0196262

Ejemplares similares

Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models
por: Manikis, Georgios C., et al.
Publicado: (2017)

Correction: Diffusion weighted imaging in patients with rectal cancer: Comparison between Gaussian and non-Gaussian models
por: Manikis, Georgios C., et al.
Publicado: (2017)

Diffusion-weighted MR imaging of pancreatic cancer: A comparison of mono-exponential, bi-exponential and non-Gaussian kurtosis models
por: Kartalis, Nikolaos, et al.
Publicado: (2016)

Measuring the apparent diffusion coefficient in primary rectal tumors: is there a benefit in performing histogram analyses?
por: van Heeswijk, Miriam M., et al.
Publicado: (2017)

Magnetization transfer imaging to assess tumour response after chemoradiotherapy in rectal cancer
por: Martens, Milou H, et al.
Publicado: (2015)

Diffusion-Weighted MRI for Selection of Complete Responders After Chemoradiation for Locally Advanced Rectal Cancer: A Multicenter Study
por: Lambregts, Doenja M. J., et al.
Publicado: (2011)

Value of MRI and diffusion-weighted MRI for the diagnosis of locally recurrent rectal cancer
por: Lambregts, Doenja M. J., et al.
Publicado: (2011)

Comparison of non-Gaussian and Gaussian diffusion models of diffusion weighted imaging of rectal cancer at 3.0 T MRI
por: Zhang, Guangwen, et al.
Publicado: (2016)

Optimal imaging staging of rectal cancer
por: Lambregts, Doenja M.J., et al.
Publicado: (2013)

Value of ADC measurements for nodal staging after chemoradiation in locally advanced rectal cancer—a per lesion validation study
por: Lambregts, Doenja M. J., et al.
Publicado: (2010)

Multiexponential T2 relaxometry of benign and malignant adipocytic tumours
por: Nikiforaki, Katerina, et al.
Publicado: (2020)

MRI and diffusion-weighted MRI to diagnose a local tumour regrowth during long-term follow-up of rectal cancer patients treated with organ preservation after chemoradiotherapy
por: Lambregts, Doenja M. J., et al.
Publicado: (2015)

Response evaluation after neoadjuvant treatment for rectal cancer using modern MR imaging: a pictorial review
por: Lambregts, Doenja M. J., et al.
Publicado: (2019)

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR
por: Trebeschi, Stefano, et al.
Publicado: (2017)

Symplectic structure for gaussian diffusions
por: Brandão d'Oliveira, A
Publicado: (1997)

Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR
por: Trebeschi, Stefano, et al.
Publicado: (2018)

The Apparent Diffusion Coefficient (ADC) is a useful biomarker in predicting metastatic colon cancer using the ADC-value of the primary tumor
por: Nerad, Elias, et al.
Publicado: (2019)

Extended perfusion protocol for MS lesion quantification
por: Kontopodis, Eleftherios, et al.
Publicado: (2020)

Multicenter DSC–MRI-Based Radiomics Predict IDH Mutation in Gliomas
por: Manikis, Georgios C., et al.
Publicado: (2021)

Predictive criteria for MRI-based evaluation of response both during and after radiotherapy for cervical cancer
por: Mongula, Jordy, et al.
Publicado: (2016)

Gaussian and non-gaussian structures of the microwave background
por: Amendola, L
Publicado: (1998)

Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases
por: Roniotis, Alexandros, et al.
Publicado: (2012)

Corrigendum to “Simulating Radiotherapy Effect in High-Grade Glioma by Using Diffusive Modeling and Brain Atlases”
por: Roniotis, Alexandros, et al.
Publicado: (2018)

Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability
por: Lambregts, Doenja M. J., et al.
Publicado: (2011)

Evaluation of non‐Gaussian diffusion in cardiac MRI
por: McClymont, Darryl, et al.
Publicado: (2016)

Nonclassicality by Local Gaussian Unitary Operations for Gaussian States
por: Wang, Yangyang, et al.
Publicado: (2018)

Gaussian quadrature formulas
por: Stroud, A. H.
Publicado: (1966)

Diffusion Weighted Imaging in the Assessment of Tumor Grade in Endometrial Cancer Based on Intravoxel Incoherent Motion MRI
por: Chryssou, Evangelia G., et al.
Publicado: (2022)

Gaussian quadrature formulas
por: Stroud, Arthur H, et al.
Publicado: (1966)

Gaussian processes
por: Hitsuda, Masuyuki, et al.
Publicado: (1993)

Gaussian and non-Gaussian linear time series and random fields
por: Rosenblatt, Murray
Publicado: (2000)

Quantum steering of Gaussian states via non-Gaussian measurements
por: Ji, Se-Wan, et al.
Publicado: (2016)

Radiomics and Machine Learning Can Differentiate Transient Osteoporosis from Avascular Necrosis of the Hip
por: Klontzas, Michail E., et al.
Publicado: (2021)

Nodal staging in rectal cancer: why is restaging after chemoradiation more accurate than primary nodal staging?
por: Heijnen, Luc A., et al.
Publicado: (2016)

Diffusion Acceleration with Gaussian process Estimated Reconstruction (DAGER)
por: Wu, Wenchuan, et al.
Publicado: (2019)

Sense and non-sense of imaging in the era of organ preservation for rectal cancer
por: Ou, Xinde, et al.
Publicado: (2023)

MRI anatomy of the rectum: key concepts important for rectal cancer staging and treatment planning
por: Bogveradze, Nino, et al.
Publicado: (2023)

Pearls and pitfalls of structured staging and reporting of rectal cancer on MRI: an international multireader study
por: el Khababi, Najim, et al.
Publicado: (2023)

Inverse Laplace transform and multiexponential fitting analysis of T2 relaxometry data: a phantom study with aqueous and fat containing samples
por: Ioannidis, Georgios S., et al.
Publicado: (2020)

Superior Resilience of Non-Gaussian Entanglement against Local Gaussian Noises
por: Filippov, Sergey, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_l50vu1pjn06mqs52sll8bq2mcg