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Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks.

, , , , , , , , and . POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, volume 11042 of Lecture Notes in Computer Science, page 65-73. Springer, (2018)

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Deep Learning Video Classification of Lung Ultrasound Features Associated with Pneumonia., , , , , , , , , and 6 other author(s). CVPR Workshops, page 3103-3112. IEEE, (2023)Ultrasound-Based Detection of Lung Abnormalities Using Single Shot Detection Convolutional Neural Networks., , , , , , , , and . POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, volume 11042 of Lecture Notes in Computer Science, page 65-73. Springer, (2018)Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images., , , , , , , , , and 15 other author(s). GHTC, page 1-8. IEEE, (2019)Deep Learning-Based Pneumothorax Detection in Ultrasound Videos., , , , , , , , , and 4 other author(s). SUSI/PIPPI@MICCAI, volume 11798 of Lecture Notes in Computer Science, page 74-82. Springer, (2019)Key frame extraction for salient activity recognition., , , and . ICPR, page 835-840. IEEE, (2016)Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos., , , , , , , , , and 17 other author(s). ISBI, page 1-5. IEEE, (2023)Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary Information., , , , , , , , , and 15 other author(s). CoRR, (2019)How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound., , , , , , , and . SASHIMI@MICCAI, volume 14288 of Lecture Notes in Computer Science, page 75-85. Springer, (2023)Weakly Semi-supervised Detection in Lung Ultrasound Videos., , , , , , , , , and 17 other author(s). IPMI, volume 13939 of Lecture Notes in Computer Science, page 195-207. Springer, (2023)Semantic Text Summarization of Long Videos., , , , , and . WACV, page 989-997. IEEE Computer Society, (2017)