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Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.

, , , , , and . IEEE Trans. Biomed. Engineering, 64 (6): 1380-1392 (2017)

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A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising., , , , and . Patch-MI@MICCAI, volume 10530 of Lecture Notes in Computer Science, page 102-110. Springer, (2017)Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies., , , , and . Int. J. Comput. Assist. Radiol. Surg., 12 (12): 2145-2155 (2017)X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation., , , , and . ISBI, page 350-353. IEEE, (2009)Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection., , , , , , , and . Eng. Appl. of AI, (2019)Chest x-ray characterization: from organ identification to pathology categorization., , , , and . Multimedia Information Retrieval, page 155-164. ACM, (2010)Anisotropic neural deblurring for MRI acceleration., , , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 17 (2): 315-327 (2022)Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising., , , , and . ISBI, page 1635-1638. IEEE, (2019)The Liver Tumor Segmentation Benchmark (LiTS)., , , , , , , , , and 49 other author(s). CoRR, (2019)Deformable registration of trans-rectal ultrasound (TRUS) and magnetic resonance imaging (MRI) for focal prostate brachytherapy., , , , , and . Int. J. Comput. Assist. Radiol. Surg., 11 (6): 1015-1023 (2016)3-D Neural denoising for low-dose Coronary CT Angiography (CCTA)., , , , and . Comp. Med. Imag. and Graph., (2018)