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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
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
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
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
Artificial Intelligence in Medicine10.1016/j.artmed.2008.08.012200946181-95Agentification of Markov model-based segmentation: Application to magnetic resonance brain scansBenoit Scherrer, Michel Dojat, Florence Forbes, Catherine Garbayhttps://api.elsevier.com/content/article/PII:S0933365708001280?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0933365708001280?httpAccept=text/plain
2019 International Artificial Intelligence and Data Processing Symposium (IDAP)10.1109/idap.2019.88759612019Deep learning based-classification of dementia in magnetic resonance imaging scansHasan Ucuzal, Ahmet K. Arslan, Cemil Colakhttp://xplorestaging.ieee.org/ielx7/8864030/8875868/08875961.pdf?arnumber=8875961
Magnetic Resonance Imaging10.1016/s0730-725x(00)00148-x2000186635-640Preoperative fast MRI of brain tumors using three-dimensional segmented echo planar imaging compared to three-dimensional gradient echo techniqueA. Ba-Ssalamah, S. Schick, A.M. Herneth, M. Cejna, N. Schibany, R.W. Prokesch, P. Wunderbaldinger, S. Trattnighttps://api.elsevier.com/content/article/PII:S0730725X0000148X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0730725X0000148X?httpAccept=text/plain
Magnetic Resonance Imaging10.1016/j.mri.2006.09.0112007255727-732Texture analysis of MR image for predicting the firmness of Huanghua pears (Pyrus pyrifolia Nakai, cv. Huanghua) during storage using an artificial neural networkRan Zhou, Yunfei Lihttps://api.elsevier.com/content/article/PII:S0730725X0600292X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0730725X0600292X?httpAccept=text/plain