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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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Pathology Classification of Gait Human Gestures., , and . VISAPP, page 710-713. SciTePress, (2011)A local volumetric covariance descriptor for markerless Parkinsonian gait pattern quantification., , and . Multim. Tools Appl., 81 (21): 30733-30748 (2022)Weakly Supervised Polyp Segmentation from an Attention Receptive Field Mechanism., and . EMBC, page 3745-3748. IEEE, (2022)An attentional unet with an auxiliary class learning to support acute ischemic stroke segmentation on CT., , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)A Non-Aligned Deep Representation to Enhance Standard Colonoscopy Observations from Vascular Narrow Band Polyp Patterns., , and . EMBC, page 1671-1674. IEEE, (2022)Action-centric Polar Representation of Motion Trajectories for Online Action Recognition., , , and . VISIGRAPP (4: VISAPP), page 442-448. SciTePress, (2016)Gait Patterns Coded as Riemannian Mean Covariances to Support Parkinson's Disease Diagnosis., , and . IBERAMIA, volume 13788 of Lecture Notes in Computer Science, page 3-14. Springer, (2022)Representing activities with layers of velocity statistics for multiple human action recognition in surveillance applications., , and . Video Surveillance and Transportation Imaging Applications, volume 9026 of SPIE Proceedings, page 90260G. SPIE, (2014)An Oculomotor Digital Parkinson Biomarker from a Deep Riemannian Representation., , and . ICPRAI (1), volume 13363 of Lecture Notes in Computer Science, page 677-687. Springer, (2022)A deep CT to MRI unpaired translation that preserve ischemic stroke lesions., , , and . EMBC, page 2708-2711. IEEE, (2022)