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Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis., , , , , , and . MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 287-297. Springer, (2022)Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities., , , , , , and . ISBI, page 799-803. IEEE, (2020)Chest X-Ray Report Generation Through Fine-Grained Label Learning., , , , , , , , , and 2 other author(s). MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 561-571. Springer, (2020)Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond., , , , , , and . Medical Image Anal., (2024)Extracting and Learning Fine-grained Labels from Chest Radiographs., , , , and . AMIA, AMIA, (2020)MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction., , , , , , and . ML4MHD, volume 14315 of Lecture Notes in Computer Science, page 141-154. Springer, (2023)Brain cortical structural differences between non-central nervous system cancer patients treated with and without chemotherapy compared to non-cancer controls: a cross-sectional pilot MRI study using clinically indicated scans., , , , , , , , , and 2 other author(s). SIPAIM, volume 10572 of SPIE Proceedings, page 105720G. SPIE, (2017)Medical sieve: a cognitive assistant for radiologists and cardiologists., , , , , , , , , and 13 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850A. SPIE, (2016)