Luca Giancardo

48 papers B 4Misc 1Journal 21Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Encoding 3D information in 2D feature maps for brain CT-Angiography. Comput. Medical Imaging Graph. Uma M. Lal-Trehan Estrada, Sunil Sheth, Arnau Oliver, Xavier Lladó, Luca Giancardo
2025	J	`jnl`	Generalizable self-supervised learning for brain CTA in acute stroke. Comput. Biol. Medicine Yingjun Dong, Samiksha Pachade, Kirk Roberts, Xiaoqian Jiang, Sunil A. Sheth, Luca Giancardo
2025	J	`jnl`	KeyGAN: Synthetic keystroke data generation in the context of digital phenotyping. Comput. Biol. Medicine Alejandro Acien, Aythami Morales, Luca Giancardo, Rubén Vera-Rodríguez, Ashley A Holmes, Julian Fiérrez, Teresa Arroyo-Gallego
2025	J	`jnl`	RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau
2024	J	`jnl`	Generalizing Parkinson's disease detection using keystroke dynamics: a self-supervised approach. J. Am. Medical Informatics Assoc. Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo
2023	—	`conf`	Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET. ISBI Shikha Tripathi, Pietro Mattioli, C. Liguori, A. Chiaravalloti, Dario Arnaldi, Luca Giancardo
2023	J	`jnl`	Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research. CoRR Tanjida Kabir, Luyao Chen, Muhammad F. Walji, Luca Giancardo, Xiaoqian Jiang, Shayan Shams
2023	J	`jnl`	Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes. CoRR Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Luca Giancardo, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts
2023	—	`conf`	Foveal Avascular Zone Segmentation Using Deep Learning-Driven Image-Level Optimization and Fundus Photographs. ISBI Ivan Coronado, Samiksha Pachade, H. Dawoodally, Sergio Salazar Marioni, Juntao Yan, Rania Abdelkhaleq, M. Bahrainian, Amanda Jagolino-Cole, Roomasa Channa, Sunil A. Sheth, Luca Giancardo
2023	J	`jnl`	Keystroke-Dynamics for Parkinson's Disease Signs Detection in an At-Home Uncontrolled Population: A New Benchmark and Method. IEEE Trans. Biomed. Eng. Shikha Tripathi, Teresa Arroyo-Gallego, Luca Giancardo
2023	J	`jnl`	MVGL-Net: A generalizable multi-view convolutional network for anterior segment OCT. Biomed. Signal Process. Control. Runzhi Zhou, Alice Z. Chuang, Robert M. Feldman, Luca Giancardo
2023	—	`conf`	Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images. ISBI Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo
2023	—	`conf`	Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets. BCB Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo
2021	J	`jnl`	Deep learning enabled brain shunt valve identification using mobile phones. Comput. Methods Programs Biomed. Sheeba J. Sujit, Eliana Bonfante, Azin Aein, Ivan Coronado, Roy Riascos-Castaneda, Luca Giancardo
2021	J	`jnl`	NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation. Medical Image Anal. Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau
2021	J	`jnl`	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 Kendall J. Kiser, Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo
2021	J	`jnl`	Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research. Data Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau
2021	—	`conf`	Segmenting thoracic cavities with neoplastic lesions: a head-to-head benchmark with fully convolutional neural networks. BCB Zhao Li, Rongbin Li, Kendall J. Kiser, Luca Giancardo, W. Jim Zheng
2021	—	`conf`	Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks. EMBC Ivan Coronado, Rania Abdelkhaleq, Juntao Yan, Sergio Salazar Marioni, Amanda Jagolino-Cole, Roomasa Channa, Samiksha Pachade, Sunil A. Sheth, Luca Giancardo
2021	—	`conf`	X-Ray Based Automatic Detection Of Brain Coil Compaction Using Unsupervised Learning. ISBI Shuyang Fan, Mehmet Enes Inam, Danilo A. Peña, Peng Roc Chen, Luca Giancardo
2020	—	`conf`	Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage. Computer-Aided Diagnosis Arko Barman, Victor Lopez-Rivera, Songmi Lee, Farhaan S. Vahidy, James Z. Fan, Sean I. Savitz, Sunil A. Sheth, Luca Giancardo
2019	—	`conf`	Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks. ISBI Arko Barman, Mehmet Enes Inam, Songmi Lee, Sean I. Savitz, Sunil Sheth, Luca Giancardo
2019	J	`jnl`	From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang
2019	—	`conf`	Representation Learning of 3D Brain Angiograms, an Application for Cerebral Vasospasm Prediction. EMBC Seymanur Capoglu, Jude P. Savarraj, Sunil A. Sheth, H. Alex Choi, Luca Giancardo
2018	Misc	`conf`	Computer Aided Diagnosis of Chest X-rays using by Combining Deep Convolutional Neural Networks. AMIA Xinyuan Zhang, Sicheng Zhou, Luca Giancardo, Cui Tao
2018	—	`conf`	Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity. Computer-Aided Diagnosis Luca Giancardo, Timothy M. Ellmore, Jessika Suescun, Laura Ocasio, Arash Kamali, Roy Riascos-Castaneda, Mya Caryn Schiess
2018	J	`jnl`	Retinal image analysis for disease screening through local tetra patterns. Comput. Biol. Medicine Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau
2017	J	`jnl`	Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing. IEEE Trans. Biomed. Eng. Teresa Arroyo-Gallego, María-Jesus Ledesma-Carbayo, Álvaro Sánchez-Ferro, Ian Butterworth, Carlos S. Mendoza, Michele Matarazzo, Paloma Montero, Roberto Lopez-Blanco, Verónica P. Casaliglla, Rocio Trincado, Luca Giancardo
2017	—	`conf`	Representation Learning for Retinal Vasculature Embeddings. FIFI/OMIA@MICCAI Luca Giancardo, Kirk Roberts, Zhongming Zhao
2016	J	`jnl`	Computer keyboard interaction as an indicator of early Parkinson's disease. CoRR Luca Giancardo, Álvaro Sánchez-Ferro, Teresa Arroyo-Gallego, Ian Butterworth, Carlos S. Mendoza, Paloma Montero, Michele Matarazzo, José A. Obeso, Martha L. Gray, Raúl San José Estépar
2015	—	`conf`	Analysis of white blood cell dynamics in nailfold capillaries. EMBC Aurélien Bourquard, Ian Butterworth, Álvaro Sánchez-Ferro, Luca Giancardo, Luis Soenksen, Carolina Cerrato, Rafael Flores, Carlos Castro-Gonzalez
2015	J	`jnl`	Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. Comput. Medical Imaging Graph. Amir Fazlollahi, Fabrice Mériaudeau, Luca Giancardo, Victor L. Villemagne, Christopher Rowe, Paul A. Yates, Olivier Salvado, Pierrick Bourgeat
2013	—	`conf`	Automatic White Matter Fiber Clustering Using Dominant Sets. PRNI Luca Dodero, Sebastiano Vascon, Luca Giancardo, Alessandro Gozzi, Diego Sona, Vittorio Murino
2013	—	`conf`	Retina image analysis and ocular telehealth: The oak ridge national laboratory-hamilton eye institute case study. EMBC Thomas P. Karnowski, Luca Giancardo, Yaqin Li, Kenneth W. Tobin, Edward Chaum
2013	J	`jnl`	Statistical atlas based exudate segmentation. Comput. Medical Imaging Graph. Sharib Ali, Desire Sidibé, Kedir M. Adal, Luca Giancardo, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau
2013	B	`conf`	Validation of microaneurysm-based diabetic retinopathy screening across retina fundus datasets. CBMS Luca Giancardo, Thomas P. Karnowski, Kenneth W. Tobin, Fabrice Mériaudeau, Edward Chaum
2012	—	`conf`	Automatic Tractography Analysis through Sparse Networks in Case-Control Studies. PRNI Luca Giancardo, Diego Sona, Alessandro Gozzi, Angelo Bifone, Vittorio Murino, Sara Migliarini, Giulia Pacini, Barbara Pelosi, Massimo Pasqualetti
2012	J	`jnl`	Exudate-based diabetic macular edema detection in fundus images using publicly available datasets. Medical Image Anal. Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Yaqin Li, Seema Garg, Kenneth W. Tobin, Edward Chaum
2012	B	`conf`	Segmentation and tracking of multiple interacting mice by temperature and shape information. ICPR Luca Giancardo, Diego Sona, Diego Scheggia, Francesco Papaleo, Vittorio Murino
2011	—	`—`	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
2011	—	`conf`	Automatic detection of retina disease: Robustness to image quality and localization of anatomy structure. EMBC Thomas P. Karnowski, Deniz Aykac, Luca Giancardo, Yaqin Li, T. Nichols, Kenneth W. Tobin, Edward Chaum
2011	B	`conf`	Automatic quality enhancement and nerve fibre layer artefacts removal in retina fundus images by off axis imaging. ICIP Luca Giancardo, Fabrice Mériaudeau, Thomas P. Kamowski, Yaqin Li, Kenneth W. Tobin, Edward Chaum
2011	—	`conf`	Automatic retina exudates segmentation without a manually labelled training set. ISBI Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Yaqin Li, Kenneth W. Tobin, Edward Chaum
2011	—	`conf`	Geographic atrophy segmentation in infrared and autofluorescent retina images using supervised learning. EMBC K. Devisetti, Thomas P. Karnowski, Luca Giancardo, Yaqin Li, Edward Chaum
2011	—	`conf`	Microaneurysm detection with radon transform-based classification on retina images. EMBC Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Yaqin Li, Kenneth W. Tobin, Edward Chaum
2011	—	`conf`	Statistical characterization and segmentation of drusen in fundus images. EMBC Hector J. Santos-Villalobos, Thomas P. Karnowski, Deniz Aykac, Luca Giancardo, Yaqin Li, T. Nichols, Kenneth W. Tobin, Edward Chaum
2011	J	`jnl`	Textureless Macula Swelling Detection With Multiple Retinal Fundus Images. IEEE Trans. Biomed. Eng. Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Kenneth W. Tobin, Enrico Grisan, Paolo Favaro, Alfredo Ruggeri, Edward Chaum
2010	B	`conf`	Microaneurysms detection with the radon cliff operator in retinal fundus images. Image Processing Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Kenneth W. Tobin, Yaqin Li, Edward Chaum