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Marthony Robins
Marthony Robins
Verified email at duke.edu
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Year
Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR)
B Chen, H Barnhart, S Richard, M Robins, J Colsher, E Samei
Medical physics 40 (11), 111902, 2013
622013
Techniques for virtual lung nodule insertion: volumetric and morphometric comparison of projection-based and image-based methods for quantitative CT
M Robins, J Solomon, P Sahbaee, M Sedlmair, KR Choudhury, ...
Physics in Medicine & Biology 62 (18), 7280, 2017
182017
Systematic analysis of bias and variability of texture measurements in computed tomography
M Robins, J Solomon, J Hoye, E Abadi, D Marin, E Samei
Journal of Medical Imaging 6 (3), 033503-033503, 2019
152019
Systematic analysis of bias and variability of morphologic features for lung lesions in computed tomography
J Hoye, J Solomon, TJ Sauer, M Robins, E Samei
Journal of Medical Imaging 6 (1), 013504-013504, 2019
122019
3D task‐transfer function representation of the signal transfer properties of low‐contrast lesions in FBP‐and iterative‐reconstructed CT
M Robins, J Solomon, T Richards, E Samei
Medical physics 45 (11), 4977-4985, 2018
112018
How reliable are texture measurements?
M Robins, J Solomon, J Hoye, E Abadi, D Marin, E Samei
Medical Imaging 2018: Physics of Medical Imaging 10573, 991-1003, 2018
102018
Evaluation of simulated lesions as surrogates to clinical lesions for thoracic CT volumetry: the results of an international challenge
M Robins, J Kalpathy-Cramer, NA Obuchowski, A Buckler, M Athelogou, ...
Academic radiology 26 (7), e161-e173, 2019
72019
Development and comparison of projection and image space 3D nodule insertion techniques
M Robins, J Solomon, P Sahbaee, E Samei
Medical Imaging 2016: Physics of Medical Imaging 9783, 1562-1569, 2016
62016
Estimability index for volume quantification of homogeneous spherical lesions in computed tomography
E Samei, M Robins, B Chen, G Agasthya
Journal of Medical Imaging 5 (3), 031404-031404, 2018
52018
Bias and variability in morphology features of lung lesions across CT imaging conditions
J Hoye, JB Solomon, T Sauer, M Robins, E Samei
Medical Imaging 2018: Physics of Medical Imaging 10573, 493-503, 2018
52018
Can a 3D task transfer function accurately represent the signal transfer properties of low-contrast lesions in non-linear CT systems?
M Robins, J Solomon, E Samei
Medical Imaging 2018: Physics of Medical Imaging 10573, 1046-1054, 2018
42018
Validation of lesion simulations in clinical CT data for anonymized chest and abdominal CT databases
M Robins, J Solomon, LMH Koweek, J Christensen, E Samei
Medical physics 46 (4), 1931-1937, 2019
32019
Accuracy and variability of radiomics in photon-counting CT: texture features and lung lesion morphology
JR Rajagopal, J Hoye, M Robins, EC Jones, E Samei
Medical Imaging 2019: Physics of Medical Imaging 10948, 1102-1110, 2019
32019
Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry study
M Robins, J Solomon, J Hoye, T Smith, Y Zheng, L Ebner, KR Choudhury, ...
Journal of Medical Imaging 5 (3), 035504-035504, 2018
32018
Inter-algorithm lesion volumetry comparison of real and 3D simulated lung lesions in CT
M Robins, J Solomon, J Hoye, T Smith, L Ebner, E Samei
Medical Imaging 2017: Physics of Medical Imaging 10132, 433-442, 2017
32017
TH‐CD‐207B‐04: Is TTF a True Representation of the Sharpness Property of a Non‐Linear CT System?
M Robins, J Solomon, E Samei
Medical Physics 43 (6Part46), 3889-3889, 2016
22016
Hybrid Reference Datasets for Quantitative Computed Tomography Characterization and Conformance
ML Robins
Duke University, 2018
2018
Development of a Hausdorff distance based 3D quantification technique to evaluate the CT imaging system impact on depiction of lesion morphology
P Sahbaee, M Robins, J Solomon, E Samei
Medical Imaging 2016: Physics of Medical Imaging 9783, 1556-1561, 2016
2016
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Articles 1–18