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Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method.

, , , , , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 86-94. (2016)

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Subspace ensemble learning via totally-corrective boosting for gait recognition., , and . Neurocomputing, (2017)Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling., , , , and . MCV, volume 8848 of Lecture Notes in Computer Science, page 97-104. Springer, (2014)Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI., , , , and . Patch-MI@MICCAI, volume 9467 of Lecture Notes in Computer Science, page 37-45. Springer, (2015)Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling., , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 719-726. Springer, (2015)A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition., , and . Pattern Recognit., (2017)Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method., , , , , and . MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 86-94. (2016)Soft-Split Random Forest for Anatomy Labeling., , , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 17-25. Springer, (2015)UAV equipped with infrared imaging for Cervidae monitoring: Improving detection accuracy by eliminating background information interference., , , , , , , and . Ecol. Informatics, (2024)