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Deep learning automates Cobb angle measurement compared with multi-expert observers
To address these challenges and the lack of interpretability found in certain existing automated methods, we have created fully automated software that not only precisely measures the Cobb angle but also provides clear visualizations of these measurements.
A recurrent connectionist model of melody perception : An exploration using TRACX2
We address this question by exploring how TRACX2, (French et al., 2011; French \& Cottrell, 2014; Mareschal \& French, 2017), a recognition-based, recursive connectionist autoencoder model of chunking and sequence segmentation, which has successfully simulated speech and serial-image processing, might be applied to elementary melody perception.
SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs
Three-dimensional segmentation in magnetic resonance images (MRI), which reflects the true shape of the objects, is challenging since high-resolution isotropic MRIs are rare and typical MRIs are anisotropic, with the out-of-plane dimension having a much lower resolution.
