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Segmenting The Kidney On CT Scans Via Crowdsourcing., , , , , and . ISBI, page 829-832. IEEE, (2019)Atherosclerotic vascular calcification detection and segmentation on low dose computed tomography scans using convolutional neural networks., , , , , , and . ISBI, page 388-391. IEEE, (2017)Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology., , , , , and . CVPR, page 8523-8532. Computer Vision Foundation / IEEE, (2019)TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays., , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 431-440. Springer, (2019)MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation., , , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 194-202. Springer, (2019)Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Accurately identifying vertebral levels in large datasets., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)A Semi-Supervised CNN Learning Method with Pseudo-class Labels for Atherosclerotic Vascular Calcification Detection., , , , and . ISBI, page 780-783. IEEE, (2019)A self-attention based deep learning method for lesion attribute detection from CT reports., , , , and . ICHI, page 1-5. IEEE, (2019)