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Igor Vidić

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Journal of Magnetic Resonance Imaging : JMRI|May 10, 2019
Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion-weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methodsIgor Vidić, Neil P Jerome, Tone F Bathen, et al.
Magma (New York, N.Y.)|November 8, 2017
Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motionPeter T While, Jose R Teruel, Igor Vidić, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 15, 2019
Stromal Collagen Content in Breast Tumors Correlates With In Vivo Diffusion-Weighted Imaging: A Comparison of Multi b-Value DWI With Histologic Specimen From Benign and Malignant Breast LesionsLiv Egnell, Igor Vidić, Neil P Jerome, et al.
NMR in Biomedicine|March 19, 2021
Understanding diffusion-weighted MRI analysis: Repeatability and performance of diffusion models in a benign breast lesion cohortNeil Peter Jerome, Igor Vidić, Liv Egnell, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 19, 2017
Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary studyIgor Vidić, Liv Egnell, Neil P Jerome, et al.
Magnetic Resonance in Medicine|January 25, 2020
Modeling the diffusion-weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm<sup>2</sup> range: quality of fit and classification accuracy for different representationsIgor Vidić, Liv Egnell, Neil P Jerome, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 5, 2020
Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI ModelMaren M Sjaastad Andreassen, Ana E Rodríguez-Soto, Christopher C Conlin, et al.
Magnetic Resonance in Medicine|December 14, 2021
Characterization of the diffusion signal of breast tissues using multi-exponential modelsAna E Rodríguez-Soto, Maren M Sjaastad Andreassen, Lauren K Fang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Magnetic Resonance Imaging : JMRI|May 10, 2019
Accuracy of breast cancer lesion classification using intravoxel incoherent motion diffusion-weighted imaging is improved by the inclusion of global or local prior knowledge with bayesian methodsIgor Vidić, Neil P Jerome, Tone F Bathen, et al.
Magma (New York, N.Y.)|November 8, 2017
Relative enhanced diffusivity: noise sensitivity, protocol optimization, and the relation to intravoxel incoherent motionPeter T While, Jose R Teruel, Igor Vidić, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 15, 2019
Stromal Collagen Content in Breast Tumors Correlates With In Vivo Diffusion-Weighted Imaging: A Comparison of Multi b-Value DWI With Histologic Specimen From Benign and Malignant Breast LesionsLiv Egnell, Igor Vidić, Neil P Jerome, et al.
NMR in Biomedicine|March 19, 2021
Understanding diffusion-weighted MRI analysis: Repeatability and performance of diffusion models in a benign breast lesion cohortNeil Peter Jerome, Igor Vidić, Liv Egnell, et al.
Journal of Magnetic Resonance Imaging : JMRI|October 19, 2017
Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary studyIgor Vidić, Liv Egnell, Neil P Jerome, et al.
Magnetic Resonance in Medicine|January 25, 2020
Modeling the diffusion-weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm<sup>2</sup> range: quality of fit and classification accuracy for different representationsIgor Vidić, Liv Egnell, Neil P Jerome, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|November 5, 2020
Discrimination of Breast Cancer from Healthy Breast Tissue Using a Three-component Diffusion-weighted MRI ModelMaren M Sjaastad Andreassen, Ana E Rodríguez-Soto, Christopher C Conlin, et al.
Magnetic Resonance in Medicine|December 14, 2021
Characterization of the diffusion signal of breast tissues using multi-exponential modelsAna E Rodríguez-Soto, Maren M Sjaastad Andreassen, Lauren K Fang, et al.
Pageof 1