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Anatomical Landmark Detection in CT Data by Learned Atlas Location Autocontext.

, , and . MIUA, page 189-194. BMVA, (2015)

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Arterial tree tracking from anatomical landmarks in magnetic resonance angiography scans., , , , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90342S. SPIE, (2014)Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans., , , , and . LABELS/HAL-MICCAI/CuRIOUS@MICCAI, volume 11851 of Lecture Notes in Computer Science, page 3-12. Springer, (2019)Anatomical Landmark Detection in CT Data by Learned Atlas Location Autocontext., , and . MIUA, page 189-194. BMVA, (2015)Metrics for Exposing the Biases of Content-Style Disentanglement., , , , , and . CoRR, (2020)Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text., , , , , , , and . LOUHI@EMNLP, page 168-177. Association for Computational Linguistics, (2019)Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation., , , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 307-317. Springer, (2021)Disentangled Representations for Domain-Generalized Cardiac Segmentation., , , , and . M&Ms and EMIDEC/STACOM@MICCAI, volume 12592 of Lecture Notes in Computer Science, page 187-195. Springer, (2020)A Multi-Organ Nucleus Segmentation Challenge., , , , , , , , , and 77 other author(s). IEEE Trans. Medical Imaging, 39 (5): 1380-1391 (2020)Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext., , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 139-146. (2016)Controllable Chest X-Ray Report Generation from Longitudinal Representations., , , , and . EMNLP (Findings), page 4891-4904. Association for Computational Linguistics, (2023)