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CD-Net: Histopathology Representation Learning Using Context-Detail Transformer Network.

, , and . ISBI, page 1-5. IEEE, (2023)

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Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation., , , , , and . ICCV, page 21358-21368. IEEE, (2023)Learning to Segment from Noisy Annotations: A Spatial Correction Approach., , , , , and . ICLR, OpenReview.net, (2023)Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341U. SPIE, (2017)Data distillation in computational pathology by choosing few representants of the original variance: A use case in ovarian cancer., , , , , and . Expert Syst. Appl., (2024)RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification., , and . ECCV (21), volume 13681 of Lecture Notes in Computer Science, page 679-698. Springer, (2022)Subtype-Specific Spatial Descriptors of Tumor-Immune Microenvironment are Prognostic of Survival in Lung Adenocarcinoma., , , , and . ISBI, page 1-5. IEEE, (2022)Predicting Mutation Status and Recurrence Free Survival in Non-Small Cell Lung Cancer: A Hierarchical ct Radiomics - Deep Learning Approach., , and . ISBI, page 882-885. IEEE, (2021)Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)MagNET: Modality-Agnostic Network for Brain Tumor Segmentation and Characterization with Missing Modalities., , and . MLMI@MICCAI (1), volume 14348 of Lecture Notes in Computer Science, page 361-371. Springer, (2023)Radiologically Defined Tumor-habitat Adjacency as a Prognostic Biomarker in Glioblastoma., , and . EMBC, page 3998-4001. IEEE, (2021)