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Accelerating Super-Resolution for 4K Upscaling. In IEEE International Conference on Consumer Electronics. Las Vegas, NV, USA; 2015.
(1.07 MB)
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Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. . 2016.
(9.47 MB)
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Antipodally Invariant Metrics For Fast Regression-Based Super-Resolution. IEEE Transactions on Image Processing. 2016;25(6):2468.
(5.48 MB)
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Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation. Multimedia Tools and Applications. 2016;23(75).
(5.05 MB)
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Active Deep Learning for Medical Imaging Segmentation. . 2017.
(2.84 MB)
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Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017.
(187.43 KB)
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Artificial intelligence suggests recipes based on food photos. Boston: MIT News; 2017.
. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
. Action Tube Extraction based 3D -CNN for RGB-D Action Recognition. In International Conference on Content-Based Multimedia Indexing CBMI 2018. 2018.
(3.09 MB)
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Advances in utilization of hierarchical representations in remote sensing data analysis. In Reference Module in Earth Systems and Environmental Sciences. Elsevier; 2018. pp. 77-107.
. . Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019.
(3.1 MB)
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Audience measurement using a top-view camera and oriented trajectories. In IEEE IECON 2019. Lisbon, Portugal; 2019.
(523.13 KB)
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Automatic Reminiscence Therapy for Dementia. In ACM International Conference on Multimedia Retrieval (ICMR). Dublin, Ireland: ACM; 2020.
(4.37 MB)
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Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In European Association of Dermato Oncology (EADO 2022). 2022.
. Adversarial Learning for Feature Shift Detection and Correction. In Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
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