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Exploiting Multi-Head Attention Maps Into A Deep Riemannian Representation to Quantify Pulmonary Nodules.

, , , and . ISBI, page 1-4. IEEE, (2023)

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Riemannian SPD learning to represent and characterize fixational oculomotor Parkinsonian abnormalities., , and . Pattern Recognit. Lett., (January 2024)A Robust Background Subtraction Algorithm using the a ∑-∆ Estimation - Applied to the Visual Analysis of Human Motion., , and . VISAPP (1), page 484-489. SciTePress, (2012)Estimating the size of polyps during actual endoscopy procedures using a spatio-temporal characterization., , , and . Comput. Medical Imaging Graph., (2015)A Covid-19 Patient Severity Stratification using a 3D Convolutional Strategy on CT-Scans., , , , , , , , and . ISBI, page 1665-1668. IEEE, (2021)Cardiac disease prediction from spatio-temporal motion patterns in cine-MRI., , and . ISBI, page 1305-1308. IEEE, (2018)Cardiac Disease Representation Conditioned by Spatio-temporal Priors in Cine-MRI Sequences Using Generative Embedding Vectors., , , and . EMBC, page 5570-5573. IEEE, (2021)A Riemannian Deep Learning Representation to Describe Gait Parkinsonian Locomotor Patterns., and . EMBC, page 3538-3541. IEEE, (2022)A 3D Physics-based Model to Simulate Normal and Pathological Gait Patterns., , and . GRAPP/IVAPP, page 197-201. SciTePress, (2012)A Gaussian Mixture Representation of Gesture Kinematics for On-Line Sign Language Video Annotation., , , and . ISVC (2), volume 9475 of Lecture Notes in Computer Science, page 293-303. Springer, (2015)Pathology Classification of Gait Human Gestures., , and . VISAPP, page 710-713. SciTePress, (2011)