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A quasi-conformal mapping-based data augmentation technique for brain tumor segmentation.

, , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132P. SPIE, (2020)

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A quasi-conformal mapping-based data augmentation technique for brain tumor segmentation., , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132P. SPIE, (2020)Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction., , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132S. SPIE, (2020)CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Artery Network Visualization., , , , , , , , and . IEEE Trans. Vis. Comput. Graph., 26 (1): 938-948 (2020)CerebroVis: Designing an Abstract yet Spatially Contextualized Cerebral Arteries Network Visualization., , , , , , , , and . CoRR, (2019)Brain tissue segmentation based on DWI/DTI data., , , , and . ISBI, page 57-60. IEEE, (2006)PICE: prior information constrained evolution for 3-D and 4-D brain tumor segmentation., , , , , , , and . ISBI, page 840-843. IEEE, (2010)A new framework of designing iterative techniques for image deblurring., , , , and . Pattern Recognit., (2022)Deformation invariant attribute vector for 3D image registration: method and validation., , , , and . ISBI, page 442-445. IEEE, (2006)Towards Reducing Diagnostic Errors with Interpretable Risk Prediction., , , , , , and . CoRR, (2024)76-Space Analysis of Grey Matter Diffusivity: Methods and Applications., , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 148-155. Springer, (2005)