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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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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)Sharp U-Net: Depthwise Convolutional Network for Biomedical Image Segmentation., and . CoRR, (2021)Masked Supervised Learning for Semantic Segmentation., and . BMVC, page 417. BMVA Press, (2022)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)Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On., , , and . BMVC, page 418. BMVA Press, (2022)Synthesis of COVID-19 chest X-rays using unpaired image-to-image translation., and . Soc. Netw. Anal. Min., 11 (1): 23 (2021)Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis., and . CoRR, (2021)Learning to recognize occluded and small objects with partial inputs., and . CoRR, (2023)STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification., , , and . MMSports@MM, page 25-33. ACM, (2021)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)