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Learning from Only Positive and Unlabeled Data to Detect Lesions in Vascular CT Images.

, , , , и . MICCAI (3), том 6893 из Lecture Notes in Computer Science, стр. 9-16. Springer, (2011)

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Alberto Zuluaga

Mauricio Zuluaga

Ulrike Zuluaga

Marcela Zuluaga

Maria A Martin

 

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Feature Selection for SVM-Based Vascular Anomaly Detection., , , и . MCV, том 6533 из Lecture Notes in Computer Science, стр. 141-152. Springer, (2010)Can the Coronary Artery Centerline Extraction in Computed Tomography Images Be Improved by Use of a Partial Volume Model?, , , и . ICCVG (2), том 6375 из Lecture Notes in Computer Science, стр. 385-392. Springer, (2010)DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams., , , , и . Data Min. Knowl. Discov., 37 (2): 627-669 (марта 2023)Stability, structure and scale: improvements in multi-modal vessel extraction for SEEG trajectory planning., , , , , , , , , и 1 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 10 (8): 1227-1237 (2015)Automated multiple trajectory planning algorithm for the placement of stereo-electroencephalography (SEEG) electrodes in epilepsy treatment., , , , , , , , , и 2 other автор(ы). Int. J. Comput. Assist. Radiol. Surg., 12 (1): 123-136 (2017)Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading., , , , , , , , , и 20 other автор(ы). Medical Image Anal., 15 (4): 477-488 (2011)Class-wise Thresholding for Detecting Out-of-Distribution Data., , , , , и . CoRR, (2021)Using Out-of-Distribution Detection for Model Refinement in Cardiac Image Segmentation., и . STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 374-382. Springer, (2021)Translating Emotions from EEG to Visual Arts., , , , и . EvoMUSART, том 13221 из Lecture Notes in Computer Science, стр. 243-258. Springer, (2022)StressID: a Multimodal Dataset for Stress Identification., , , , , , , , , и 3 other автор(ы). NeurIPS, (2023)