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Super-Resolution Classification Improves Facial Nerve Segmentation from CBCT Imaging., , , , , , и . CURAC, стр. 143-144. Der Andere Verlag, (2016)Deep Learning-based Type Identification of Volumetric MRI Sequences., , , , , , и . ICPR, стр. 5674-5681. IEEE, (2020)Correction tool for Active Shape Model based lumbar muscle segmentation., , , , , , и . EMBC, стр. 3033-3036. IEEE, (2015)Interpretability vs. Complexity: The Friction in Deep Neural Networks., , , и . IJCNN, стр. 1-7. IEEE, (2020)Minimization of Intra-Operative Shaping of Orthopaedic Fixation Plates: A Population-Based Design., , , и . MICCAI (2), том 6892 из Lecture Notes in Computer Science, стр. 409-416. Springer, (2011)Do We Really Need that Skip-Connection? Understanding Its Interplay with Task Complexity., , , и . MICCAI (4), том 14223 из Lecture Notes in Computer Science, стр. 302-311. Springer, (2023)Combining unsupervised and supervised learning for predicting the final stroke lesion., , , , , , и . Medical Image Anal., (2021)The Positive Effect of Negative Feedback in HRI Using a Facial Expression Robot., , и . CR@RO-MAN, том 9549 из Lecture Notes in Computer Science, стр. 44-54. Springer, (2015)Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction., , , , , , и . BrainLes@MICCAI (2), том 11384 из Lecture Notes in Computer Science, стр. 429-440. Springer, (2018)AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy., , , , , , , , и . CaPTion@MICCAI, том 15199 из Lecture Notes in Computer Science, стр. 221-230. Springer, (2024)