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Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.

, , , , , , , , , , , , , , , , and . J. Am. Medical Informatics Assoc., 28 (6): 1135-1148 (2021)

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Comment Generation for Source Code: State of the Art, Challenges and Opportunities., , and . CoRR, (2018)An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives., , , , , , , and . J. Am. Medical Informatics Assoc., 30 (8): 1408-1417 (July 2023)BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph., , , and . Database J. Biol. Databases Curation, (2016)ML-Net: multi-label classification of biomedical texts with deep neural networks., , , , , and . CoRR, (2018)Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration., , , , , , , , , and 7 other author(s). CoRR, (2020)Representing and utilizing clinical textual data for real world studies: An OHDSI approach., , , , , , , , , and 17 other author(s). J. Biomed. Informatics, (June 2023)Deep Optics: Learning Cameras and Optical Computing Systems., , , and . ACSSC, page 1313-1315. IEEE, (2020)E-Branchformer: Branchformer with Enhanced Merging for Speech Recognition., , , , , , and . SLT, page 84-91. IEEE, (2022)Joint Prediction and Denoising for Large-Scale Multilingual Self-Supervised Learning., , , , , , , , and . ASRU, page 1-8. IEEE, (2023)Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology., , , , , and . CVPR, page 8523-8532. Computer Vision Foundation / IEEE, (2019)