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MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images.

, , , , , , , , , , , and . Medical Image Anal., (2022)

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MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images., , , , , , , , , and 2 other author(s). Medical Image Anal., (2022)RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss., , , and . Comput. Biol. Medicine, (June 2023)Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension., , , , and . ISBRA, volume 13760 of Lecture Notes in Computer Science, page 41-51. Springer, (2022)DARC: Deep adaptive regularized clustering for histopathological image classification., , , , , , , and . Medical Image Anal., (2022)Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (2): 1084-1095 (2022)Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images., , , , , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (5): 2723-2736 (2022)A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer., , , , , and . BIBM, page 1670-1675. IEEE, (2023)Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation., , , , , and . BIBM, page 1497-1502. IEEE, (2023)Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations., , , , , and . ICASSP, page 1350-1354. IEEE, (2021)Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading., , , , , , and . IEEE J. Biomed. Health Informatics, 26 (2): 673-684 (2022)