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IDH mutation assessment of glioma using texture features of multimodal MR images.

, , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341S. SPIE, (2017)

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Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks., , , , , , , , , and . CoRR, (2018)Differentiating bladder carcinoma from bladder wall using 3D textural features: an initial study., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97851T. SPIE, (2016)Content and shape attention network for bladder wall and cancer segmentation in MRIs., , , , , , and . Comput. Biol. Medicine, (2022)The segmentation of bladder cancer using the voxel-features-based method., , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492F. SPIE, (2019)Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI., , , , , , , , , and 1 other author(s). Int. J. Comput. Assist. Radiol. Surg., 12 (4): 645-656 (2017)Multi-contrast MRI registration of carotid arteries based on cross-sectional images and lumen boundaries., , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 1013323. SPIE, (2017)IDH mutation assessment of glioma using texture features of multimodal MR images., , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341S. SPIE, (2017)The Prognosis Prediction of GBM Based on High-risk Subregion and Multi-parametric MR Imaging., , , , and . ISICDM, page 214-217. ACM, (2019)Bladder MR Image Segmentation by Convex Global Optimization of Coupled Borders., , , , , and . ISICDM, page 259-262. ACM, (2019)