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Estimating Severity from CT Scans of Tuberculosis Patients using 3D Convolutional Nets and Slice Selection.

, , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)

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Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction., , , and . PRIME@MICCAI, volume 12329 of Lecture Notes in Computer Science, page 156-168. Springer, (2020)Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation., , , , and . MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 412-421. Springer, (2022)Estimating Severity from CT Scans of Tuberculosis Patients using 3D Convolutional Nets and Slice Selection., , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans., , and . CLEF (Working Notes), volume 2936 of CEUR Workshop Proceedings, page 1412-1421. CEUR-WS.org, (2021)Ambiguous Medical Image Segmentation Using Diffusion Models., , , and . CVPR, page 11536-11546. IEEE, (2023)Frame by Familiar Frame: Understanding Replication in Video Diffusion Models., , and . CoRR, (2024)Simultaneous Bone and Shadow Segmentation Network Using Task Correspondence Consistency., , , and . MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 330-339. Springer, (2022)