Luca Giancardo

Orcid: 0000-0002-4862-2277

According to our database1, Luca Giancardo authored at least 44 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
MVGL-Net: A generalizable multi-view convolutional network for anterior segment OCT.
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

Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research.
CoRR, 2023

Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes.
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

Deep learning enabled brain shunt valve identification using mobile phones.
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
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort.
CoRR, 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
Retinal image analysis for disease screening through local tetra patterns.
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
Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing.
IEEE Trans. Biomed. Eng., 2017

Representation Learning for Retinal Vasculature Embeddings.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2016
Computer keyboard interaction as an indicator of early Parkinson's disease.
CoRR, 2016

2015
Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging.
Comput. Medical Imaging Graph., 2015

Analysis of white blood cell dynamics in nailfold capillaries.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013
Statistical atlas based exudate segmentation.
Comput. Medical Imaging Graph., 2013

Automatic White Matter Fiber Clustering Using Dominant Sets.
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

Automatic Tractography Analysis through Sparse Networks in Case-Control Studies.
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

Textureless Macula Swelling Detection With Multiple Retinal Fundus Images.
IEEE Trans. Biomed. Eng., 2011

Automatic retina exudates segmentation without a manually labelled training set.
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

Statistical characterization and segmentation of drusen in fundus images.
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

Microaneurysm detection with radon transform-based classification on retina images.
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
Microaneurysms detection with the radon cliff operator in retinal fundus images.
Proceedings of the Medical Imaging 2010: Image Processing, 2010


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