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2020 – today

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2025
[j14]
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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:
RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. 99: 103365 (2025)
2024
[j13]
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Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo:
Generalizing Parkinson's disease detection using keystroke dynamics: a self-supervised approach. J. Am. Medical Informatics Assoc. 31(6): 1239-1246 (2024)
2023
[j12]
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Runzhi Zhou, Alice Z. Chuang, Robert M. Feldman, Luca Giancardo:
MVGL-Net: A generalizable multi-view convolutional network for anterior segment OCT. Biomed. Signal Process. Control. 85: 104778 (2023)
[j11]
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Shikha Tripathi, Teresa Arroyo-Gallego, Luca Giancardo:
Keystroke-Dynamics for Parkinson's Disease Signs Detection in an At-Home Uncontrolled Population: A New Benchmark and Method. IEEE Trans. Biomed. Eng. 70(1): 182-192 (2023)
[c26]
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Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo:
Self-Supervised Learning with Touchscreen Typing. A Generalizable Strategy for Parkinson's Disease Detection Across Datasets. BCB 2023: 91:1
[c25]
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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:
Foveal Avascular Zone Segmentation Using Deep Learning-Driven Image-Level Optimization and Fundus Photographs. ISBI 2023: 1-5
[c24]
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Samiksha Pachade, Surabhi Datta, Y. Dong, Sergio Salazar Marioni, Rania Abdelkhaleq, A. Niktabe, Kirk Roberts, Sunil A. Sheth, Luca Giancardo:
Self-Supervised Learning with Radiology Reports, A Comparative Analysis of Strategies for Large Vessel Occlusion and Brain CTA Images. ISBI 2023: 1-5
[c23]
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Shikha Tripathi, Pietro Mattioli, C. Liguori, A. Chiaravalloti, Dario Arnaldi, Luca Giancardo:
Brain Hemisphere Dissimilarity, a Self-Supervised Learning Approach for alpha-synucleinopathies prediction with FDG PET. ISBI 2023: 1-5
[i4]
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  - journals/corr/abs-2305-11948
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Surabhi Datta, Tasneem Kaochar, Hio Cheng Lam, Nelly Nwosu, Luca Giancardo, Alice Z. Chuang, Robert M. Feldman, Kirk Roberts:
Eye-SpatialNet: Spatial Information Extraction from Ophthalmology Notes. CoRR abs/2305.11948 (2023)
[i3]
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  - journals/corr/abs-2306-15651
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Tanjida Kabir, Luyao Chen, Muhammad F. Walji, Luca Giancardo, Xiaoqian Jiang, Shayan Shams:
Dental CLAIRES: Contrastive LAnguage Image REtrieval Search for Dental Research. CoRR abs/2306.15651 (2023)
2021
[j10]
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Sheeba J. Sujit, Eliana Bonfante, Azin Aein, Ivan Coronado, Roy Riascos-Castaneda, Luca Giancardo:
Deep learning enabled brain shunt valve identification using mobile phones. Comput. Methods Programs Biomed. 210: 106356 (2021)
[j9]
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Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau:
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research. Data 6(2): 14 (2021)
[j8]
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Kendall J. Kiser, Arko Barman, Sonja Stieb, Clifton D. Fuller, Luca Giancardo:
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 34(3): 541-553 (2021)
[j7]
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Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau:
NENet: Nested EfficientNet and adversarial learning for joint optic disc and cup segmentation. Medical Image Anal. 74: 102253 (2021)
[c22]
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Zhao Li, Rongbin Li, Kendall J. Kiser, Luca Giancardo, W. Jim Zheng:
Segmenting thoracic cavities with neoplastic lesions: a head-to-head benchmark with fully convolutional neural networks. BCB 2021: 33:1-33:8
[c21]
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Ivan Coronado, Rania Abdelkhaleq, Juntao Yan, Sergio Salazar Marioni, Amanda Jagolino-Cole, Roomasa Channa, Samiksha Pachade, Sunil A. Sheth, Luca Giancardo:
Towards Stroke Biomarkers on Fundus Retinal Imaging: A Comparison Between Vasculature Embeddings and General Purpose Convolutional Neural Networks. EMBC 2021: 3873-3876
[c20]
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  - conf/isbi/FanIPCG21
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Shuyang Fan, Mehmet Enes Inam, Danilo A. Peña, Peng Roc Chen, Luca Giancardo:
X-Ray Based Automatic Detection Of Brain Coil Compaction Using Unsupervised Learning. ISBI 2021: 625-629
[d1]
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Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau:
Retinal Fundus Multi-disease Image Dataset (RFMiD). IEEE DataPort, 2021
2020
[c19]
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  - conf/micad/BarmanLLVFSSG20
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Arko Barman, Victor Lopez-Rivera, Songmi Lee, Farhaan S. Vahidy, James Z. Fan, Sean I. Savitz, Sunil A. Sheth, Luca Giancardo:
Combining symmetric and standard deep convolutional representations for detecting brain hemorrhage. Computer-Aided Diagnosis 2020

2010 – 2019

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2019
[c18]
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  - conf/embc/CapogluSSCG19
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Seymanur Capoglu, Jude P. Savarraj, Sunil A. Sheth, H. Alex Choi, Luca Giancardo:
Representation Learning of 3D Brain Angiograms, an Application for Cerebral Vasospasm Prediction. EMBC 2019: 3394-3398
[c17]
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Arko Barman, Mehmet Enes Inam, Songmi Lee, Sean I. Savitz, Sunil Sheth, Luca Giancardo:
Determining Ischemic Stroke From CT-Angiography Imaging Using Symmetry-Sensitive Convolutional Networks. ISBI 2019: 1873-1877
[i2]
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  - journals/corr/abs-1905-05861
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Rui Zhang, Luca Giancardo, Danilo A. Peña, Yejin Kim, Hanghang Tong, Xiaoqian Jiang:
From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort. CoRR abs/1905.05861 (2019)
2018
[j6]
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Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Luca Giancardo, Fabrice Mériaudeau:
Retinal image analysis for disease screening through local tetra patterns. Comput. Biol. Medicine 102: 200-210 (2018)
[c16]
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Xinyuan Zhang, Sicheng Zhou, Luca Giancardo, Cui Tao:
Computer Aided Diagnosis of Chest X-rays using by Combining Deep Convolutional Neural Networks. AMIA 2018
[c15]
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Luca Giancardo, Timothy M. Ellmore, Jessika Suescun, Laura Ocasio, Arash Kamali, Roy Riascos-Castaneda, Mya C. Schiess:
Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity. Computer-Aided Diagnosis 2018: 105750J
2017
[j5]
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  - journals/tbe/Arroyo-GallegoL17
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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:
Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing. IEEE Trans. Biomed. Eng. 64(9): 1994-2002 (2017)
[c14]
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Luca Giancardo, Kirk Roberts, Zhongming Zhao:
Representation Learning for Retinal Vasculature Embeddings. FIFI/OMIA@MICCAI 2017: 243-250
2016
[i1]
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  - journals/corr/GiancardoSABMMM16
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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:
Computer keyboard interaction as an indicator of early Parkinson's disease. CoRR abs/1604.08620 (2016)
2015
[j4]
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  - journals/cmig/FazlollahiMGVRY15
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Amir Fazlollahi, Fabrice Mériaudeau, Luca Giancardo, Victor L. Villemagne, Christopher Rowe, Paul A. Yates, Olivier Salvado, Pierrick Bourgeat:
Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. Comput. Medical Imaging Graph. 46: 269-276 (2015)
[c13]
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Aurélien Bourquard, Ian Butterworth, Álvaro Sánchez-Ferro, Luca Giancardo, Luis Soenksen, Carolina Cerrato, Rafael Flores, Carlos Castro-Gonzalez:
Analysis of white blood cell dynamics in nailfold capillaries. EMBC 2015: 7470-7473
2013
[j3]
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Sharib Ali, Desire Sidibé, Kedir M. Adal, Luca Giancardo, Edward Chaum, Thomas P. Karnowski, Fabrice Mériaudeau:
Statistical atlas based exudate segmentation. Comput. Medical Imaging Graph. 37(5-6): 358-368 (2013)
[c12]
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Luca Giancardo, Thomas P. Karnowski, Kenneth W. Tobin, Fabrice Mériaudeau, Edward Chaum:
Validation of microaneurysm-based diabetic retinopathy screening across retina fundus datasets. CBMS 2013: 125-130
[c11]
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Thomas P. Karnowski, Luca Giancardo, Yaqin Li, Kenneth W. Tobin, Edward Chaum:
Retina image analysis and ocular telehealth: The oak ridge national laboratory-hamilton eye institute case study. EMBC 2013: 7140-7143
[c10]
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  - conf/prni/DoderoVGGSM13
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Luca Dodero, Sebastiano Vascon, Luca Giancardo, Alessandro Gozzi, Diego Sona, Vittorio Murino:
Automatic White Matter Fiber Clustering Using Dominant Sets. PRNI 2013: 216-219
2012
[j2]
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Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Yaqin Li, Seema Garg, Kenneth W. Tobin, Edward Chaum:
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets. Medical Image Anal. 16(1): 216-226 (2012)
[c9]
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Luca Giancardo, Diego Sona, Diego Scheggia, Francesco Papaleo, Vittorio Murino:
Segmentation and tracking of multiple interacting mice by temperature and shape information. ICPR 2012: 2520-2523
[c8]
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Luca Giancardo, Diego Sona, Alessandro Gozzi, Angelo Bifone, Vittorio Murino, Sara Migliarini, Giulia Pacini, Barbara Pelosi, Massimo Pasqualetti:
Automatic Tractography Analysis through Sparse Networks in Case-Control Studies. PRNI 2012: 77-80
2011
[b1]
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Luca Giancardo:
Automated fundus images analysis techniques to screen retinal diseases in diabetic patients. (Analyse de "Fundus" image par le diagnostique de la retinopathie diabétique). University of Burgundy, Dijon, France, 2011
[j1]
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Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Kenneth W. Tobin, Enrico Grisan, Paolo Favaro, Alfredo Ruggeri, Edward Chaum:
Textureless Macula Swelling Detection With Multiple Retinal Fundus Images. IEEE Trans. Biomed. Eng. 58(3): 795-799 (2011)
[c7]
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K. Devisetti, Thomas P. Karnowski, Luca Giancardo, Yaqin Li, Edward Chaum:
Geographic atrophy segmentation in infrared and autofluorescent retina images using supervised learning. EMBC 2011: 3958-3961
[c6]
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Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Yaqin Li, Kenneth W. Tobin, Edward Chaum:
Microaneurysm detection with radon transform-based classification on retina images. EMBC 2011: 5939-5942
[c5]
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Thomas P. Karnowski, Deniz Aykac, Luca Giancardo, Yaqin Li, T. Nichols, Kenneth W. Tobin, Edward Chaum:
Automatic detection of retina disease: Robustness to image quality and localization of anatomy structure. EMBC 2011: 5959-5964
[c4]
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  - conf/embc/Santos-Villalobos11
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Hector J. Santos-Villalobos, Thomas P. Karnowski, Deniz Aykac, Luca Giancardo, Yaqin Li, T. Nichols, Kenneth W. Tobin, Edward Chaum:
Statistical characterization and segmentation of drusen in fundus images. EMBC 2011: 6236-6241
[c3]
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  - conf/icip/GiancardoMKLTC11
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Luca Giancardo, Fabrice Mériaudeau, Thomas P. Kamowski, Yaqin Li, Kenneth W. Tobin, Edward Chaum:
Automatic quality enhancement and nerve fibre layer artefacts removal in retina fundus images by off axis imaging. ICIP 2011: 49-52
[c2]
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Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Yaqin Li, Kenneth W. Tobin, Edward Chaum:
Automatic retina exudates segmentation without a manually labelled training set. ISBI 2011: 1396-1400
2010
[c1]
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Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Kenneth W. Tobin, Yaqin Li, Edward Chaum:
Microaneurysms detection with the radon cliff operator in retinal fundus images. Image Processing 2010: 76230U

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