Index by author
Pantano, P.
- EDITOR'S CHOICEAdult BrainOpen AccessA Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple SclerosisG. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. CocozzaAmerican Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274
The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
Pavlina, A.A.
- Head and Neck ImagingYou have accessDual-Energy Parathyroid 4D-CT: Improved Discrimination of Parathyroid Lesions from Thyroid Tissue Using Noncontrast 40-keV Virtual Monoenergetic ImagesP.M. Bunch, A.A. Pavlina, M.E. Lipford and J.R. SachsAmerican Journal of Neuroradiology November 2021, 42 (11) 2001-2008; DOI: https://doi.org/10.3174/ajnr.A7265
Petracca, M.
- EDITOR'S CHOICEAdult BrainOpen AccessA Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple SclerosisG. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. CocozzaAmerican Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274
The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
Petsas, N.
- EDITOR'S CHOICEAdult BrainOpen AccessA Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple SclerosisG. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. CocozzaAmerican Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274
The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
Piechowiak, E.I.
- Adult BrainOpen AccessSWI Susceptibility Vessel Sign in Patients Undergoing Mechanical Thrombectomy for Acute Ischemic StrokeN.F. Belachew, T. Dobrocky, E.B. Aleman, T.R. Meinel, A. Hakim, J. Vynckier, M. Arnold, D.J. Seiffge, R. Wiest, P. Mordasini, J. Gralla, U. Fischer, E.I. Piechowiak and J. KaesmacherAmerican Journal of Neuroradiology November 2021, 42 (11) 1949-1955; DOI: https://doi.org/10.3174/ajnr.A7281
- NeurointerventionOpen AccessEvolution of MRI Findings in Patients with Idiopathic Intracranial Hypertension after Venous Sinus StentingN.F. Belachew, W. Almiri, R. Encinas, A. Hakim, S. Baschung, J. Kaesmacher, T. Dobrocky, C.J. Schankin, M. Abegg, E.I. Piechowiak, A. Raabe, J. Gralla and P. MordasiniAmerican Journal of Neuroradiology November 2021, 42 (11) 1993-2000; DOI: https://doi.org/10.3174/ajnr.A7311
Polomac, N.
- Pediatric NeuroimagingOpen AccessHeterotopia in Individuals with 22q11.2 Deletion SyndromeE. Neuhaus, E. Hattingen, S. Breuer, E. Steidl, N. Polomac, F. Rosenow, T. Rüber, E. Herrmann, C. Ecker, L. Kushan, A. Lin, A. Vajdi, C.E. Bearden and A. JurcoaneAmerican Journal of Neuroradiology November 2021, 42 (11) 2070-2076; DOI: https://doi.org/10.3174/ajnr.A7283
Pontillo, G.
- EDITOR'S CHOICEAdult BrainOpen AccessA Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple SclerosisG. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. CocozzaAmerican Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274
The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
Pozzilli, C.
- EDITOR'S CHOICEAdult BrainOpen AccessA Combined Radiomics and Machine Learning Approach to Overcome the Clinicoradiologic Paradox in Multiple SclerosisG. Pontillo, S. Tommasin, R. Cuocolo, M. Petracca, N. Petsas, L. Ugga, A. Carotenuto, C. Pozzilli, R. Iodice, R. Lanzillo, M. Quarantelli, V. Brescia Morra, E. Tedeschi, P. Pantano and S. CocozzaAmerican Journal of Neuroradiology November 2021, 42 (11) 1927-1933; DOI: https://doi.org/10.3174/ajnr.A7274
The multidimensional analysis of brain MR images, including radiomic features and clinicodemographic data, is highly informative of the clinical status of patients with multiple sclerosis, representing a promising approach to bridge the gap between conventional imaging and disability.
Prayer, D.
- Pediatric NeuroimagingYou have accessMapping Human Fetal Brain Maturation In Vivo Using Quantitative MRIV.U. Schmidbauer, G.O. Dovjak, M.S. Yildirim, G. Mayr-Geisl, M. Weber, M.C. Diogo, G.M. Gruber, F. Prayer, R.-I. Milos, M. Stuempflen, B. Ulm, J. Binder, D. Bettelheim, H. Kiss, D. Prayer and G. KasprianAmerican Journal of Neuroradiology November 2021, 42 (11) 2086-2093; DOI: https://doi.org/10.3174/ajnr.A7286
Prayer, F.
- Pediatric NeuroimagingYou have accessMapping Human Fetal Brain Maturation In Vivo Using Quantitative MRIV.U. Schmidbauer, G.O. Dovjak, M.S. Yildirim, G. Mayr-Geisl, M. Weber, M.C. Diogo, G.M. Gruber, F. Prayer, R.-I. Milos, M. Stuempflen, B. Ulm, J. Binder, D. Bettelheim, H. Kiss, D. Prayer and G. KasprianAmerican Journal of Neuroradiology November 2021, 42 (11) 2086-2093; DOI: https://doi.org/10.3174/ajnr.A7286
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