Neurosurgery Unit, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Thailand.
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1: Khumtong R, Katawatee K, Amornpojnimman T, Riabroi K, Sungkaro K,
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2: Tunthanathip T, Sangkhathat S, Kanjanapradit K. Risk Factors Associated with
Malignant Transformation of Astrocytoma: Competing Risk Regression Analysis.
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3: Taweesomboonyat C, Oearsakul T. Factors Predicting Neuroendocrine Recovery
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4: Tunthanathip T, Sangkhathat S, Tanvejsilp P, Kanjanapradit K. Prognostic
Impact of the Combination of MGMT Methylation and TERT Promoter
Mutation in Glioblastoma. J Neurosci Rural Pract. 2021 Sep 28;12(4):694-703.
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5: Pang X, Makinde EA, Eze FN, Olatunji OJ. Securidaca inappendiculata
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6: Tunthanathip T, Duangsuwan J, Wattanakitrungroj N, Tongman S, Phuenpathom N.
Comparison of intracranial injury predictability between machine learning
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7: Tommy T, Sakarunchai I, Yamada Y, Yoshida K, Kawase T, Kato Y. The Use of
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8: Sungkaro K, Tunthanathip T, Taweesomboonyat C, Kaewborisutsakul A. Surgical
outcomes of patients after treatment of ruptured anterior communicating artery
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9: Tunthanathip T, Ratanalert S, Sae-Heng S, Oearsakul T, Sakarunchai I,
Kaewborisutsakul A, Chotsampancharoen T, Intusoma U, Kitkhuandee A, Vaniyapong
T. Prognostic factors and clinical nomogram predicting survival in high-grade
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10: Oearsakul T, Kaewborisutsakul A, Jantharapattana K, Khumtong R, Puetpaiboon
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by a fishing speargun: A case study and literature review. Surg Neurol Int. 2021
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11: Tunthanathip T, Sangkhathat S, Kanjanapradit K. Molecular Landscape for
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12: Tunthanathip T, Oearsakul T. Application of machine learning to predict the
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13: Tunthanathip T, Oearsakul T, Tanvejsilp P, Sae-Heng S, Kaewborisutsakul A,
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15: Tunthanathip T, Duangsuwan J, Wattanakitrungroj N, Tongman S, Phuenpathom N.
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17: Taweesomboonyat C, Oearsakul T. Prognostic Factors of Acromegalic Patients
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23: Tunthanathip T, Sangkhathat S, Tanvejsilp P, Kanjanapradit K. The clinical
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26: Pellerin D, Ellezam B, Korathanakhun P, Renaud M, Dicaire MJ, Pilote L, Levy
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