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Deep Learning with Cinematic Rendering - Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images., , , , and . CoRR, (2018)Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images., , , , , and . CoRR, (2020)Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning., , , , , , and . CVPR, page 16123-16134. IEEE, (2022)Adversarial U-net with spectral normalization for histopathology image segmentation using synthetic data., , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560N. SPIE, (2019)Discovering correspondences between molecular profiles and morphological features via deep learning (Conference Presentation)., and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 113200M. SPIE, (2020)Efficient cellular annotation of histopathology slides with real-time AI augmentation., , and . npj Digit. Medicine, (2021)Incorporating Intratumoral Heterogeneity into Weakly-Supervised Deep Learning Models via Variance Pooling., , , , , and . MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 387-397. Springer, (2022)Quantifying & Modeling Feature Interactions: An Information Decomposition Framework., , , , , , , , , and . CoRR, (2023)Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images., , , , , , and . CoRR, (2018)EndoL2H: Deep Super-Resolution for Capsule Endoscopy., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 39 (12): 4297-4309 (2020)