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SuperNoder: a tool to discover over-represented modular structures in networks.

, , , and . BMC Bioinform., 19 (1): 318:1-318:12 (2018)

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Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation., and . CoRR, (2024)SuperNoder: a tool to discover over-represented modular structures in networks., , , and . BMC Bioinform., 19 (1): 318:1-318:12 (2018)Free Form Medical Visual Question Answering in Radiology., , , , , and . CoRR, (2024)Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning., and . CoRR, (2023)Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification., , , , , , , and . CoRR, (2023)CASS: Cross Architectural Self-Supervision for Medical Image Analysis., , and . CoRR, (2022)Learning Causality in Molecular Biology.. New York University, USA, (2021)Efficient Representation Learning for Healthcare with Cross-Architectural Self-Supervision., and . MLHC, volume 219 of Proceedings of Machine Learning Research, page 691-711. PMLR, (2023)Prediction of drug effectiveness in rheumatoid arthritis patients based on machine learning algorithms., , , , and . ICBBE, page 147-154. ACM, (2022)Enhancing Medical Image Segmentation: Optimizing Cross-Entropy Weights and Post-Processing with Autoencoders., , , , , , and . ICCV (Workshops), page 2676-2685. IEEE, (2023)