PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Healthcare Informatics Research10.4258/hir.2022.28.1.46202228146-57Texture, Morphology, and Statistical Analysis to Differentiate Primary Brain Tumors on Two-Dimensional Magnetic Resonance Imaging Scans Using Artificial Intelligence TechniquesSubrata Bhattacharjee, Deekshitha Prakash, Cho-Hee Kim, Hee-Cheol Kim, Heung-Kook Choihttp://e-hir.org/upload/pdf/hir-2022-28-1-46.pdf, http://e-hir.org/journal/view.php?doi=10.4258/hir.2022.28.1.46, http://e-hir.org/upload/pdf/hir-2022-28-1-46.pdf
Applications of Artificial Intelligence in Medical Imaging10.1016/b978-0-443-18450-5.00012-8202375-107Magnetic resonance imagining-based automated brain tumor detection using deep learning techniquesAbhranta Panigrahi, Abdulhamit Subasihttps://api.elsevier.com/content/article/PII:B9780443184505000128?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:B9780443184505000128?httpAccept=text/plain
Magnetic Resonance Imaging10.1016/j.mri.2020.08.022202073192-202Normal appearing brain white matter changes in relapsing multiple sclerosis: Texture image and classification analysis in serial MRI scansChristos P. Loizou, Marios Pantzaris, Constandinos S. Pattichishttps://api.elsevier.com/content/article/PII:S0730725X20302125?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0730725X20302125?httpAccept=text/plain
2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)10.1109/icdsaai55433.2022.100288392022Classification of Magnetic Resonance Imaging (MRI) Scans for Brain Tumor Using Improved EfficientNet Architecture and Transfer LearningAryan Ashar, Vanshika Sabhani, Namrata, Durga Prasad Bavirisettihttp://xplorestaging.ieee.org/ielx7/10028778/10028782/10028839.pdf?arnumber=10028839
Magnetic Resonance in Medicine10.1002/mrm.2479020137141531-1541Cellular imaging and texture analysis distinguish differences in cellular dynamics in mouse brain tumorsLisa M. Gazdzinski, Brian J. Niemanhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmrm.24790, https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fmrm.24790, http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.24790/fullpdf
Functional Brain Tumor Imaging10.1007/978-1-4419-5858-7_92013143-167Proton Magnetic Resonance Spectroscopy and Spectroscopic Imaging of Primary Brain TumorsLester Kwockhttps://link.springer.com/content/pdf/10.1007/978-1-4419-5858-7_9
Magnetic Resonance Imaging10.1016/s0730-725x(03)00212-12003219989-993MRI texture analysis on texture test objects, normal brain and intracranial tumorsS Herlidou-Même, J.M Constans, B Carsin, D Olivie, P.A Eliat, L Nadal-Desbarats, C Gondry, E Le Rumeur, I Idy-Peretti, J.D de Certaineshttps://api.elsevier.com/content/article/PII:S0730725X03002121?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0730725X03002121?httpAccept=text/plain
Artificial Intelligence in Medicine10.1016/j.artmed.2008.03.002200843161-74Supervised pattern recognition for the prediction of contrast-enhancement appearance in brain tumors from multivariate magnetic resonance imaging and spectroscopyMichael C. Lee, Sarah J. Nelsonhttps://api.elsevier.com/content/article/PII:S0933365708000304?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0933365708000304?httpAccept=text/plain
Magnetic Resonance Imaging10.1016/0730-725x(93)90206-s1993116889-896IX. MR tissue characterization of intracranial tumors by means of texture analysisLothar R. Schad, Stefan Blüml, Ivan Zunahttps://api.elsevier.com/content/article/PII:0730725X9390206S?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:0730725X9390206S?httpAccept=text/plain
Current Protocols in Magnetic Resonance Imaging10.1002/0471142719.mia0303s002001001Intra‐Axial Primary Brain TumorsAnnette O. Nusbaum, Scott W. Atlashttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2F0471142719.mia0303s00, https://onlinelibrary.wiley.com/doi/pdf/10.1002/0471142719.mia0303s00, https://onlinelibrary.wiley.com/doi/full-xml/10.1002/0471142719.mia0303s00, https://onlinelibrary.wiley.com/doi/pdf/10.1002/0471142719.mia0303s00