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Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders.

, , , , , , , , , , and . MIUA, volume 723 of Communications in Computer and Information Science, page 195-206. Springer, (2017)

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Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning., , , , , and . MIUA, volume 1065 of Communications in Computer and Information Science, page 497-504. Springer, (2019)MIXR: A Standard Architecture for Medical Image Analysis in Augmented and Mixed Reality., , and . AIVR, page 252-257. IEEE, (2020)Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and Mem with Shape Information., , , , and . ISBI, page 482-485. IEEE, (2009)Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons., , and . MIUA, volume 723 of Communications in Computer and Information Science, page 707-717. Springer, (2017)Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden., , , and . Frontiers Comput. Sci., (2024)Zero-dimensional biomarker based medical action recognition: towards more explainable AI in healthcare., , , and . ICBRA, page 143-148. ACM, (2023)Pushing the Limits of Cell Segmentation Models for Imaging Mass Cytometry., , , and . ISBI, page 1-5. IEEE, (2024)Concavity analysis for reduction of ileocecal valve false positives in CTC., and . ISBI, page 173-176. IEEE, (2011)A Bayesian Approach for False Positive Reduction in CTC CAD., , and . Virtual Colonoscopy and Abdominal Imaging, volume 6668 of Lecture Notes in Computer Science, page 40-46. Springer, (2010)MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks., , , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 204-215. Springer, (2017)