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Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation.

, , , , , , , , , and . CoRR, (2023)

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Finding lesion correspondences in different views of automated 3D breast ultrasound., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701N. SPIE, (2013)Automated linking of suspicious findings between automated 3D breast ultrasound volumes., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850N. SPIE, (2016)Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth., , , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 557-571. PMLR, (2019)Chest wall segmentation in automated 3D breast ultrasound scans., , , , and . Medical Image Anal., 17 (8): 1273-1281 (2013)LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Dataset., , , , , , , , , and 11 other author(s). CoRR, (2023)A fully automated pipeline of extracting biomarkers to quantify vascular changes in retina-related diseases., , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 7 (5-6): 616-631 (2019)Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images - The ACDC@LungHP Challenge 2019., , , , , , , , , and 23 other author(s). IEEE J. Biomed. Health Informatics, 25 (2): 429-440 (2021)Video-based discomfort detection for infants., , , , , , and . Mach. Vis. Appl., 30 (5): 933-944 (2019)Controllable Deep Learning Denoising Model for Ultrasound Images Using Synthetic Noisy Image., , , , , , and . CGI (1), volume 14495 of Lecture Notes in Computer Science, page 297-308. Springer, (2023)Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19., , , , , , , , , and 6 other author(s). MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 325-334. Springer, (2021)