Index by author
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
Psychogios, M.-N.
- Adult BrainYou have accessImpact of Implementing an Elaborated CT Perfusion Protocol for Aneurysmal SAH on Functional Outcome:
CTP Protocol for SAHV. Malinova, K. Döring, M.-N. Psychogios, V. Rohde and D. MielkeAmerican Journal of Neuroradiology November 2021, 42 (11) 1956-1961; DOI: https://doi.org/10.3174/ajnr.A7279
Pushparajah, K.
- EDITOR'S CHOICEPediatric NeuroimagingOpen AccessA Uniform Description of Perioperative Brain MRI Findings in Infants with Severe Congenital Heart Disease: Results of a European CollaborationR. Stegeman, M. Feldmann, N.H.P. Claessens, N.J.G. Jansen, J.M.P.J. Breur, L.S. de Vries, T. Logeswaran, B. Reich, W. Knirsch, R. Kottke, C. Hagmann, B. Latal, J. Simpson, K. Pushparajah, A.F. Bonthrone, C.J. Kelly, S. Arulkumaran, M.A. Rutherford, S.J. Counsell, M.J.N.L. Benders and the European Association Brain in Congenital Heart Disease ConsortiumAmerican Journal of Neuroradiology November 2021, 42 (11) 2034-2039; DOI: https://doi.org/10.3174/ajnr.A7328
A broad spectrum of perioperative brain MR imaging findings was documented in infants with congenital heart disease. The authors propose an MR imaging protocol including T1-, T2-, diffusion- and susceptibility-weighted imaging, and MRV to identify ischemic, hemorrhagic, and thrombotic lesions observed in this patient group.
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