Luca Giancardo
Orcid: 0000-0002-4862-2277
According to our database1,
Luca Giancardo
authored at least 46 papers
between 2010 and 2025.
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Bibliography
2025
Medical Image Anal., 2025
2024
Generalizing Parkinson's disease detection using keystroke dynamics: a self-supervised approach.
J. Am. Medical Informatics Assoc., 2024
2023
Biomed. Signal Process. Control., August, 2023
Keystroke-Dynamics for Parkinson's Disease Signs Detection in an At-Home Uncontrolled Population: A New Benchmark and Method.
IEEE Trans. Biomed. Eng., 2023
CoRR, 2023
Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Foveal Avascular Zone Segmentation Using Deep Learning-Driven Image-Level Optimization and Fundus Photographs.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2021
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation.
Medical Image Anal., 2021
Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow.
J. Digit. Imaging, 2021
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research.
Data, 2021
Comput. Methods Programs Biomed., 2021
X-Ray Based Automatic Detection Of Brain Coil Compaction Using Unsupervised Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Segmenting thoracic cavities with neoplastic lesions: a head-to-head benchmark with fully convolutional neural networks.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Representation Learning of 3D Brain Angiograms, an Application for Cerebral Vasospasm Prediction.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Comput. Biol. Medicine, 2018
Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Computer Aided Diagnosis of Chest X-rays using by Combining Deep Convolutional Neural Networks.
Proceedings of the AMIA 2018, 2018
2017
IEEE Trans. Biomed. Eng., 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2016
CoRR, 2016
2015
Comput. Medical Imaging Graph., 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Retina image analysis and ocular telehealth: The oak ridge national laboratory-hamilton eye institute case study.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Validation of microaneurysm-based diabetic retinopathy screening across retina fundus datasets.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets.
Medical Image Anal., 2012
Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012
Segmentation and tracking of multiple interacting mice by temperature and shape information.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
Automated fundus images analysis techniques to screen retinal diseases in diabetic patients. (Analyse de "Fundus" image par le diagnostique de la retinopathie diabétique).
PhD thesis, 2011
IEEE Trans. Biomed. Eng., 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Automatic quality enhancement and nerve fibre layer artefacts removal in retina fundus images by off axis imaging.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Automatic detection of retina disease: Robustness to image quality and localization of anatomy structure.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Geographic atrophy segmentation in infrared and autofluorescent retina images using supervised learning.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Proceedings of the Medical Imaging 2010: Image Processing, 2010