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Graph-based sinogram denoising for tomographic reconstructions., , , and . EMBC, page 3961-3664. IEEE, (2016)Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis., , , , , , and . CoRR, (2019)Semi-supervised breast cancer histology classification using deep multiple instance learning and contrast predictive coding (Conference Presentation)., , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 113200J. SPIE, (2020)Multimodal fusion of histology and molecular features for improved survival outcome prediction (Conference Presentation)., , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 113200N. SPIE, (2020)Reducing the Cost of Removing Border Artefacts in Fourier Transforms., , and . HEART, page 11:1-11:6. ACM, (2017)AI-based pathology predicts origins for cancers of unknown primary., , , , , , and . Nat., 594 (7861): 106-110 (2021)Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks., , , , and . ISBI, page 239-243. IEEE, (2020)Polyp segmentation and classification using predicted depth from monocular endoscopy., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 1095011. SPIE, (2019)Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images., , , , , , and . CoRR, (2018)2D Discrete Fourier Transform with simultaneous edge artifact removal for real-time applications., , , and . FPT, page 236-239. IEEE, (2015)