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

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

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DARC: Deep adaptive regularized clustering for histopathological image classification., , , , , , , и . Medical Image Anal., (2022)Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations., , , , , и . ICASSP, стр. 1350-1354. IEEE, (2021)A New Deep Learning Training Scheme: Application to Biomedical Data., , , и . ISBRA, том 13064 из Lecture Notes in Computer Science, стр. 451-459. Springer, (2021)Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution., , , , и . BIBM, стр. 1031-1036. IEEE, (2019)ARSC-Net: Adventitious Respiratory Sound Classification Network Using Parallel Paths with Channel-Spatial Attention., , , , , и . BIBM, стр. 1125-1130. IEEE, (2021)A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer., , , , , и . BIBM, стр. 1670-1675. IEEE, (2023)Incomplete Multimodal Learning with Modality-Aware Feature Interaction for Brain Tumor Segmentation., , , и . ISBRA (2), том 14955 из Lecture Notes in Computer Science, стр. 281-290. Springer, (2024)MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images., , , , , , , , , и 2 other автор(ы). Medical Image Anal., (2022)MVSF: Multi-View Signature Fusion Network for Noninvasively Predicting Ki67 Status., , , , , , и . BIBM, стр. 1040-1045. IEEE, (2022)M3CI-Net: Multi-Modal MRI-Based Characteristics Inspired Network for IDH Genotyping., , , , и . BIBM, стр. 1649-1654. IEEE, (2023)