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Alessandro Carriero
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2020 – today
- 2024
- [j9]Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri:
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers Artif. Intell. 7 (2024) - 2022
- [j8]Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri:
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput. Biol. Medicine 146: 105571 (2022) - [j7]Davide Negroni, Domenico Zagaria, Andrea Paladini, Zeno Falaschi, Anna Arcoraci, Michela Barini, Alessandro Carriero:
COVID-19 CT Scan Lung Segmentation: How We Do It. J. Digit. Imaging 35(3): 424-431 (2022) - 2021
- [j6]Luca Saba, Mohit Agarwal, Anubhav Patrick, Anudeep Puvvula, Suneet K. Gupta, Alessandro Carriero, John R. Laird, George D. Kitas, Amer M. Johri, Antonella Balestrieri, Zeno Falaschi, Alessio Pasche, Vijay Viswanathan, Ayman El-Baz, Iqbal Alam, Abhinav Jain, D. Subbaram Naidu, Ronald Oberleitner, Narendra N. Khanna, Arindam Bit, Mostafa Fatemi, Azra Alizad, Jasjit S. Suri:
Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. Int. J. Comput. Assist. Radiol. Surg. 16(3): 423-434 (2021) - [j5]Mohit Agarwal, Luca Saba, Suneet K. Gupta, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Pietro Danna, Ayman El-Baz, D. Subbaram Naidu, Jasjit S. Suri:
A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort. J. Medical Syst. 45(3): 28 (2021) - [j4]Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Integrative analysis for COVID-19 patient outcome prediction. Medical Image Anal. 67: 101844 (2021) - 2020
- [j3]Dufan Wu, Kuang Gong, Chiara Daniela Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyung Sang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li:
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J. Biomed. Health Informatics 24(12): 3529-3538 (2020) - [i1]Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Integrative Analysis for COVID-19 Patient Outcome Prediction. CoRR abs/2007.10416 (2020)
2010 – 2019
- 2016
- [j2]Anisha Keshavan, Friedemann Paul, Mona K. Beyer, Alyssa H. Zhu, Nico Papinutto, Russell T. Shinohara, William Stern, Michael Amann, Rohit Bakshi, Antje Bischof, Alessandro Carriero, Manuel Comabella, Jason C. Crane, Sandra D'Alfonso, Philippe Demaerel, Benedicte Dubois, Massimo Filippi, Vinzenz Fleischer, Bertrand Fontaine, Laura Gaetano, An Goris, Christiane Graetz, Adriane Gröger, Sergiu Groppa, David A. Hafler, Hanne F. Harbo, Bernhard Hemmer, Kesshi Jordan, Ludwig Kappos, Gina Kirkish, Sara Llufriu, Stefano Magon, Filippo Martinelli-Boneschi, Jacob L. McCauley, Xavier Montalban, Mark Mühlau, Daniel Pelletier, Pradip M. Pattany, Margaret A. Pericak-Vance, Isabelle Cournu-Rebeix, Maria Assunta Rocca, Alex Rovira, Regina Schlaeger, Albert Saiz, Till Sprenger, Alessandro Stecco, Bernard M. J. Uitdehaag, Pablo Villoslada, Mike P. Wattjes, Howard L. Weiner, Jens Wuerfel, Claus Zimmer, Frauke Zipp, Stephen L. Hauser, Jorge R. Oksenberg, Roland G. Henry:
Power estimation for non-standardized multisite studies. NeuroImage 134: 281-294 (2016)
2000 – 2009
- 2008
- [j1]Gianfranco Loi, Marco Dominietto, Irene Manfredda, Eleonora Mones, Alessandro Carriero, Eugenio Inglese, Marco Krengli, Marco Brambilla:
Acceptance Test of a Commercially Available Software for Automatic Image Registration of Computed Tomography (CT), Magnetic Resonance Imaging (MRI) And 99mTc-methoxyisobutylisonitrile (MIBI) Single-Photon Emission Computed Tomography (SPECT) Brain Images. J. Digit. Imaging 21(3): 329-337 (2008)
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last updated on 2024-10-07 21:15 CEST by the dblp team
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