Luca Giancardo

发表

Quantifying Neurodegenerative Progression With DeepSymNet, an End-to-End Data-Driven Approach

Arko Barman, Xiaoqian Jiang, Danilo Pena, 2019, Front. Neurosci..

Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing

Ian Butterworth, María J. Ledesma-Carbayo, Carlos S. Mendoza, 2017, IEEE Transactions on Biomedical Engineering.

Retinal image analysis for disease screening through local tetra patterns

Fabrice Mériaudeau, Prasanna Porwal, Samiksha Pachade, 2018, Comput. Biol. Medicine.

Automatic Tractography Analysis through Sparse Networks in Case-Control Studies

Angelo Bifone, Alessandro Gozzi, Vittorio Murino, 2012, 2012 Second International Workshop on Pattern Recognition in NeuroImaging.

Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging

Olivier Salvado, Fabrice Mériaudeau, Pierrick Bourgeat, 2015, Comput. Medical Imaging Graph..

Geographic atrophy segmentation in infrared and autofluorescent retina images using supervised learning

Thomas P. Karnowski, Luca Giancardo, K. Devisetti, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Microaneurysm detection with radon transform-based classification on retina images

Kenneth W. Tobin, Thomas P. Karnowski, Fabrice Mériaudeau, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic detection of retina disease: Robustness to image quality and localization of anatomy structure

Kenneth W. Tobin, Thomas P. Karnowski, Y. Li, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Computer Aided Design for Diabetic Retinopathy

Sharib Ali, Thomas P. Karnowski, Désiré Sidibé, 2013 .

Automated Image Analysis in a Web-Based Telemedicine Network

Kenneth W. Tobin, Thomas P. Karnowski, Luca Giancardo, 2009 .

Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage

Arko Barman, Luca Giancardo, Victor Lopez-Rivera, 2020, Medical Imaging.

Image processing and hierarchical temporal memories for automated retina analysis

Kenneth W. Tobin, Thomas P. Karnowski, Yaqin Li, 2010 .

A Machine Learning Approach for Computer-Aided Detection of Cerebral Microbleed Using High-order Shape Features

Pierrick Bourgeat, Amir Fazlollahi, Luca Giancardo, 2014 .

Evaluating the Accuracy of Optic Nerve Detections in Retina Imaging Using Complementary Methods

Kenneth W. Tobin, Thomas P. Karnowski, Michael D. Abràmoff, 2009 .

Validating retinal fundus image analysis algorithms: issues and a proposal.

Dinesh Kumar, Bashir Al-Diri, Luca Giancardo, 2013, Investigative ophthalmology & visual science.

MultiLink Analysis: Brain Network Comparison via Sparse Connectivity Analysis

Alessandro Gozzi, Vittorio Murino, Diego Sona, 2018, Scientific Reports.

Segmentation and tracking of multiple interacting mice by temperature and shape information

Vittorio Murino, Diego Sona, Luca Giancardo, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity

Timothy M. Ellmore, Jessika Suescun, Mya C. Schiess, 2018, Medical Imaging.

Computer keyboard interaction as an indicator of early Parkinson’s disease

Ian Butterworth, Raúl San José Estépar, Carlos S. Mendoza, 2016, Scientific Reports.

Textureless Macula Swelling Detection With Multiple Retinal Fundus Images

Kenneth W. Tobin, Thomas P. Karnowski, Fabrice Mériaudeau, 2011, IEEE Transactions on Biomedical Engineering.

Statistical atlas based exudate segmentation

Sharib Ali, Thomas P. Karnowski, Desire Sidibé, 2013, Comput. Medical Imaging Graph..

Automated fundus images analysis techniques to screen retinal diseases in diabetic patients. (Analyse de "Fundus" image par le diagnostique de la retinopathie diabétique)

Luca Giancardo, L. Giancardo, 2011 .

Microaneurysms detection with the radon cliff operator in retinal fundus images

Kenneth W. Tobin, Thomas P. Karnowski, Fabrice Mériaudeau, 2010, Medical Imaging.

Validation of microaneurysm-based diabetic retinopathy screening across retina fundus datasets

Kenneth W. Tobin, Thomas P. Karnowski, Fabrice Mériaudeau, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

Automated Image Analysis and the Application of Diagnostic Algorithms in an Ocular Telehealth Network

Kenneth W. Tobin, Thomas P. Karnowski, Yaqin Li, 2012 .

Representation Learning of 3D Brain Angiograms, an Application for Cerebral Vasospasm Prediction

Luca Giancardo, Seymanur Capoglu, Jude P. Savarraj, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Automatic quality enhancement and nerve fibre layer artefacts removal in retina fundus images by off axis imaging

Kenneth W. Tobin, Fabrice Mériaudeau, Luca Giancardo, 2011, 2011 18th IEEE International Conference on Image Processing.

Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting

Michele Matarazzo, Álvaro Sánchez-Ferro, Luca Giancardo, 2018, Journal of medical Internet research.

Representation Learning for Retinal Vasculature Embeddings

Kirk Roberts, Luca Giancardo, Zhongming Zhao, 2017, FIFI/OMIA@MICCAI.

Retinal vasculature segmentation and measurement framework for color fundus and SLO images

Prasanna Porwal, Samiksha Pachade, Manesh Kokare, 2020 .

Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks

Arko Barman, Luca Giancardo, Sean Savitz, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Automatic Detection of Cerebral Microbleed in SWI Using Radon Transform

Olivier Salvado, Amir Fazlollahi, Luca Giancardo, 2013 .

Computer Aided Diagnosis of Chest X-rays using by Combining Deep Convolutional Neural Networks

Cui Tao, Sicheng Zhou, Luca Giancardo, 2018, AMIA.

Exudate-based diabetic macular edema detection in fundus images using publicly available datasets

Kenneth W. Tobin, Thomas P. Karnowski, Fabrice Mériaudeau, 2012, Medical Image Anal..

Automatic retina exudates segmentation without a manually labelled training set

Kenneth W. Tobin, Thomas P. Karnowski, Fabrice Mériaudeau, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

A wearable physiological hydration monitoring wristband through multi-path non-contact dielectric spectroscopy in the microwave range

Ian Butterworth, Luca Daniel, Luca Giancardo, 2015, 2015 IEEE MTT-S 2015 International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications (IMWS-BIO).

Automatic White Matter Fiber Clustering Using Dominant Sets

Alessandro Gozzi, Vittorio Murino, Sebastiano Vascon, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Retina image analysis and ocular telehealth: The oak ridge national laboratory-hamilton eye institute case study

Kenneth W. Tobin, Thomas P. Karnowski, Luca Giancardo, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Analysis of white blood cell dynamics in nailfold capillaries

Ian Butterworth, Carlos Castro-Gonzalez, Luca Giancardo, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort pdf

Hanghang Tong, Xiaoqian Jiang, Rui Zhang, 2019, ArXiv.

MRI Compatibility: Automatic Brain Shunt Valve Recognition using Feature Engineering and Deep Convolutional Neural Networks

Luca Giancardo, Roy Riascos, Eliana Bonfante, 2018, Scientific Reports.

NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation

Fabrice Mériaudeau, Prasanna Porwal, Samiksha Pachade, 2021, Medical Image Anal..

Novel Autosegmentation Spatial Similarity Metrics Capture the Time Required to Correct Segmentations Better Than Traditional Metrics in a Thoracic Cavity Segmentation Workflow

Arko Barman, Luca Giancardo, Kendall J. Kiser, 2021, Journal of Digital Imaging.

Deep learning enabled brain shunt valve identification using mobile phones

Luca Giancardo, Roy Riascos-Castaneda, Ivan Coronado, 2021, Comput. Methods Programs Biomed..

Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research

Fabrice Mériaudeau, Gwénolé Quellec, Prasanna Porwal, 2021, Data.

Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks

Samiksha Pachade, Luca Giancardo, Ivan Coronado, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

X-Ray Based Automatic Detection Of Brain Coil Compaction Using Unsupervised Learning

Luca Giancardo, Shuyang Fan, Mehmet Enes Inam, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Segmenting thoracic cavities with neoplastic lesions: a head-to-head benchmark with fully convolutional neural networks

Luca Giancardo, Kendall J. Kiser, Zhao Li, 2021, BCB.

Chronic and Acute Intranasal Oxytocin Produce Divergent Social Effects in Mice

Vittorio Murino, Diego Sona, Luca Giancardo, 2013, Neuropsychopharmacology.

Remote Monitoring of Treatment Response in Parkinson's Disease: The Habit of Typing on a Computer

Michele Matarazzo, Álvaro Sánchez-Ferro, Luca Giancardo, 2019, Movement disorders : official journal of the Movement Disorder Society.

Multimodal Phenotyping of Alzheimer’s Disease with Longitudinal Magnetic Resonance Imaging and Cognitive Function Data

Xiaoqian Jiang, Luca Giancardo, Yejin Kim, 2020, Scientific Reports.

Quality Assessment of Retinal Fundus Images using Elliptical Local Vessel Density

Kenneth W. Tobin, Thomas P. Karnowski, Luca Giancardo, 2010 .

Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson’s Disease

Jessika Suescun, Mya C. Schiess, Luca Giancardo, 2019, Front. Neurosci..

Using a patient image archive to diagnose retinopathy

Kenneth W. Tobin, Thomas P. Karnowski, Luca Giancardo, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.