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Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: Data from the osteoarthritis initiative.

, , , , , , , , and . ISBI, page 424-427. IEEE, (2016)

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Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification., , , , , , and . ISBI, page 1-5. IEEE, (2022)Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images., , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 1360-1374. PMLR, (2022)Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain., , and . DICTA, page 1-7. IEEE, (2016)Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative., , , , , , and . ISBI, page 881-884. IEEE, (2016)Automated Plant and Leaf Separation: Application in 3D Meshes of Wheat Plants., , , , , , , and . DICTA, page 1-7. IEEE, (2016)Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression, , , , , and . NeuroImage: Clinical, (2014)Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach., , , , , , and . GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 96-103. Springer, (2019)A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging., , , , , , , , , and 3 other author(s). MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 65-72. Springer, (2018)3D Scanning System for Automatic High-Resolution Plant Phenotyping., , , , , , and . DICTA, page 1-8. IEEE, (2016)Structure-Guided Nonrigid Registration of CT-MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy., , , and . CLIP, volume 8361 of Lecture Notes in Computer Science, page 65-73. Springer, (2013)