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2020 – today
- 2024
[j76]Archana Bathula, Suneet K. Gupta, Suresh Merugu, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Singh, Deepak Garg, Mostafa M. Fouda
, Jasjit S. Suri:
Blockchain, artificial intelligence, and healthcare: the tripod of future - a narrative review. Artif. Intell. Rev. 57(9): 238 (2024)- [j75]Gavino Faa, Massimo Castagnola, Luca Didaci, Fernando Coghe, Mario Scartozzi, Luca Saba, Matteo Fraschini:
The Quest for the Application of Artificial Intelligence to Whole Slide Imaging: Unique Prospective from New Advanced Tools. Algorithms 17(6): 254 (2024) - [j74]Mainak Biswas, Luca Saba, Mannudeep K. Kalra, Rajesh Singh, José Fernandes e Fernandes, Vijay Viswanathan, John R. Laird, Laura E. Mantella, Amer M. Johri, Mostafa M. Fouda, Jasjit S. Suri:
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment. Comput. Medical Imaging Graph. 117: 102437 (2024) - [j73]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) - [j72]Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, Suneet K. Gupta, Mrinalini Bhagawati, Sudip Paul, Luca Saba, Neha Suri, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu, Jasjit S. Suri:
Artificial intelligence bias in medical system designs: a systematic review. Multim. Tools Appl. 83(6): 18005-18057 (2024) - [j71]Matteo Fraschini, Massimo Castagnola, Luigi Barberini, Roberto Sanfilippo, Ferdinando Coghe, Luca Didaci, Riccardo Cau, Claudio Frongia, Mario Scartozzi, Luca Saba, Gavino Faa:
An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images. Sensors 24(16): 5383 (2024) - [i2]Dominic LaBella, Ujjwal Baid, Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Radhika Bhalerao, Yaseen Dhemesh, Devon Godfrey, Fathi Hilal, Scott Floyd, Anastasia Janas, Anahita Fathi Kazerooni, John Kirkpatrick, Collin Kent, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern H. Menze, Maxence Pajot, Zachary J. Reitman, Jeffrey D. Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Syed Muhammad Anwar, Timothy Bergquist, Sully F. Chen, Verena Chung, Gian Marco Conte, Farouk Dako, James A. Eddy, Ivan Ezhov, Nastaran Khalili, Juan Eugenio Iglesias, Zhifan Jiang, Elaine Johanson, Koen Van Leemput, Hongwei Bran Li, Marius George Linguraru, Xinyang Liu, Aria Mahtabfar, Zeke Meier, Ahmed W. Moawad, John Mongan, Marie Piraud, Russell Takeshi Shinohara, Walter F. Wiggins, Aly H. Abayazeed, Rachel Akinola, András Jakab, Michel Bilello, Maria Correia de Verdier, Priscila Crivellaro, Christos Davatzikos, Keyvan Farahani, John B. Freymann, Christopher Hess, Raymond Y. Huang, Philipp Lohmann, Mana Moassefi, Matthew W. Pease, Philipp Vollmuth, Nico Sollmann, David Diffley, Khanak K. Nandolia, Daniel I. Warren, Ali Hussain, Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan G. Stein, Mahsa Taherzadeh, Eduardo Portela de Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie M. T. Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam H. Shawali, Nikolay Yordanov, Joel M. Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann C. Martin, Abdullah Okar:
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge. CoRR abs/2405.09787 (2024) - 2023
- [j70]Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu:
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. IEEE Access 11: 595-645 (2023) - [j69]Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, Neha Gupta, Manudeep S. Kalra, Mario Scartozzi, Luca Saba, Jasjit S. Suri:
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation. Comput. Biol. Medicine 153: 106492 (2023) - [j68]Sanjay Saxena, Aaditya Agrawal, Prasad Dash, Biswajit Jena, Narendra N. Khanna, Sudip Paul, Mannudeep M. Kalra, Klaudija Viskovic, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri:
Prediction of O-6-methylguanine-DNA methyltransferase and overall survival of the patients suffering from glioblastoma using MRI-based hybrid radiomics signatures in machine and deep learning framework. Neural Comput. Appl. 35(18): 13647-13663 (2023) - 2022
- [j67]Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Jasjit S. Suri:
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study. Comput. Biol. Medicine 140: 105102 (2022) - [j66]Siva Skandha Sanagala, Andrew Nicolaides, Suneet K. Gupta, Vijaya Kumar Koppula, Luca Saba, Amer M. Johri, Manudeep S. Kalra, Jasjit S. Suri:
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework. Comput. Biol. Medicine 141: 105131 (2022) - [j65]Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanasios Protogeron, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltan Ruzsa, Aditya M. Sharma, Sanjay Saxena, Gavino Faa, Kosmas I. Paraskevas, John R. Laird, Amer M. Johri, Luca Saba, Manudeep S. Kalra:
Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review. Comput. Biol. Medicine 142: 105204 (2022) - [j64]Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri, Sanjay Saxena:
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. Comput. Biol. Medicine 143: 105273 (2022) - [j63]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) - [j62]Pankaj Kumar Jain, Neeraj Sharma, Mannudeep K. Kalra, Amer M. Johri, Luca Saba, Jasjit S. Suri:
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment. Comput. Biol. Medicine 149: 106017 (2022) - [j61]Amer M. Johri, Krishna V. Singh, Laura E. Mantella, Luca Saba, Aditya Sharma, John R. Laird, Kumar Utkarsh, Inder M. Singh, Suneet K. Gupta, Manudeep S. Kalra, Jasjit S. Suri:
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization. Comput. Biol. Medicine 150: 106018 (2022) - [j60]Giuseppe Muscogiuri, Marco Guglielmo, Alessandra Serra, Marco Gatti, Valentina Volpato, Uwe Joseph Schoepf, Luca Saba, Riccardo Cau, Riccardo Faletti, Liam J. McGill, Carlo Nicola De Cecco, Gianluca Pontone, Serena Dell'Aversana, Sandro Sironi:
Multimodality Imaging in Ischemic Chronic Cardiomyopathy. J. Imaging 8(2): 35 (2022) - [j59]Maria Elena Laino, Pierandrea Cancian, Letterio Salvatore Politi, Matteo Giovanni Della Porta, Luca Saba, Victor Savevski:
Generative Adversarial Networks in Brain Imaging: A Narrative Review. J. Imaging 8(4): 83 (2022) - [j58]Ankush D. Jamthikar, Deep Gupta, Laura E. Mantella, Luca Saba, Amer M. Johri, Jasjit S. Suri:
Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2021
- [j57]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) - [j56]Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu:
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput. Biol. Medicine 130: 104210 (2021) - [j55]Pankaj Kumar Jain, Neeraj Sharma, Argiris A. Giannopoulos, Luca Saba, Andrew Nicolaides, Jasjit S. Suri:
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound. Comput. Biol. Medicine 136: 104721 (2021) - [j54]Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, Luca Saba, Neeraj Sharma, Jasjit S. Suri:
Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review. Comput. Biol. Medicine 137: 104803 (2021) - [j53]Mainak Biswas, Luca Saba, Tomaz Omerzu, Amer M. Johri, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Aditya Sharma, Vijay Viswanathan, Zoltan Ruzsa, Andrew Nicolaides, Jasjit S. Suri:
A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework. J. Digit. Imaging 34(3): 581-604 (2021) - [j52]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) - [j51]Mohit Agarwal, Luca Saba, Suneet K. Gupta, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Aditya M. Sharma, Vijay Viswanathan, George D. Kitas, Andrew Nicolaides, Jasjit S. Suri:
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application. Medical Biol. Eng. Comput. 59(3): 511-533 (2021) - [j50]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) - [j49]Luca Saba, Siva Skandha Sanagala, Suneet K. Gupta, Vijaya Kumar Koppula, John R. Laird, Vijay Viswanathan, Miguel J. Sanches, George D. Kitas, Amer M. Johri, Neeraj Sharma, Andrew Nicolaides, Jasjit S. Suri:
A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j48]Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu:
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE J. Biomed. Health Informatics 25(11): 4128-4139 (2021) - 2020
- [j47]Michele Porcu, Annunziata Operamolla, Elisa Scapin, Paolo Garofalo, Francesco Destro, Alessandro Caneglias, Jasjit S. Suri, Andrea Falini, Giovanni Defazio, Francesco Marrosu, Luca Saba:
Effects of White Matter Hyperintensities on Brain Connectivity and Hippocampal Volume in Healthy Subjects According to Their Localization. Brain Connect. 10(8): 436-447 (2020) - [j46]Gopal S. Tandel, Antonella Balestrieri, Tanay Jujaray, Narender N. Khanna, Luca Saba, Jasjit S. Suri:
Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm. Comput. Biol. Medicine 122: 103804 (2020) - [j45]Mainak Biswas, Luca Saba, Shubhro Chakrabartty, Narender N. Khanna, Hanjung Song, Harman S. Suri, Petros P. Sfikakis, Sophie Mavrogeni, Klaudija Viskovic, John R. Laird, Elisa Cuadrado Godia, Andrew Nicolaides, Aditya Sharma, Vijay Viswanathan, Athanasios Protogerou, George D. Kitas, Gyan Pareek, Martin Miner, Jasjit S. Suri:
Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for cardiovascular/stroke risk assessment. Comput. Biol. Medicine 123: 103847 (2020) - [j44]Jasjit S. Suri, Anudeep Puvvula, Mainak Biswas, Misha Majhail, Luca Saba, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, D. Subbaram Naidu:
COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review. Comput. Biol. Medicine 124: 103960 (2020) - [j43]Siva Skandha Sanagala, Suneet K. Gupta, Luca Saba, Vijaya Kumar Koppula, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, Aditya M. Sharma, Vijay Viswanathan, Vijay S. Rathore, Monika Turk, Jasjit S. Suri:
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0. Comput. Biol. Medicine 125: 103958 (2020) - [j42]Ankush D. Jamthikar, Deep Gupta, Luca Saba, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Naveed Sattar, Amer M. Johri, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanasios Protogerou, Vijay Viswanathan, Aditya M. Sharma, George D. Kitas, Andrew Nicolaides, Raghu Kolluri, Jasjit S. Suri:
Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound. Comput. Biol. Medicine 126: 104043 (2020) - [j41]Ankush D. Jamthikar, Deep Gupta, Amer M. Johri, Laura E. Mantella, Luca Saba, Raghu Kolluri, Aditya M. Sharma, Vijay Viswanathan, Andrew Nicolaides, Jasjit S. Suri:
Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort. J. Medical Syst. 44(12): 208 (2020) - [j40]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
- 2019
- [j39]Narendra N. Khanna, Ankush D. Jamthikar, Deep Gupta, Andrew Nicolaides, Tadashi Araki, Luca Saba, Elisa Cuadrado Godia, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Vijay Viswanathan, Jasjit S. Suri:
Performance evaluation of 10-year ultrasound image-based stroke/cardiovascular (CV) risk calculator by comparing against ten conventional CV risk calculators: A diabetic study. Comput. Biol. Medicine 105: 125-143 (2019) - [j38]Elisa Cuadrado Godia, Ankush D. Jamthikar, Deep Gupta, Narendra N. Khanna, Tadashi Araki, Md. Maniruzzaman, Luca Saba, Andrew Nicolaides, Aditya Sharma, Tomaz Omerzu, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Jasjit S. Suri:
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach. Comput. Biol. Medicine 108: 182-195 (2019) - [j37]Mainak Biswas, Venkatanareshbabu Kuppili, Luca Saba, Damodar Reddy Edla, Harman S. Suri, Aditya Sharma, Elisa Cuadrado Godia, John R. Laird, Andrew Nicolaides, Jasjit S. Suri:
Deep learning fully convolution network for lumen characterization in diabetic patients using carotid ultrasound: a tool for stroke risk. Medical Biol. Eng. Comput. 57(2): 543-564 (2019) - [j36]Narendra N. Khanna, Ankush D. Jamthikar, Deep Gupta, Tadashi Araki, Matteo Piga, Luca Saba, Carlo Carcassi, Andrew Nicolaides, John R. Laird, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Athanasios Protogerou, Petros P. Sfikakis, George D. Kitas, Jasjit S. Suri:
Effect of carotid image-based phenotypes on cardiovascular risk calculator: AECRS1.0. Medical Biol. Eng. Comput. 57(7): 1553-1566 (2019) - 2018
- [j35]Mainak Biswas, Venkatanareshbabu Kuppili, Tadashi Araki, Damodar Reddy Edla, Elisa Cuadrado Godia, Luca Saba, Harman S. Suri, Tomaz Omerzu, John R. Laird, Narendra N. Khanna, Andrew Nicolaides, Jasjit S. Suri:
Deep learning strategy for accurate carotid intima-media thickness measurement: An ultrasound study on Japanese diabetic cohort. Comput. Biol. Medicine 98: 100-117 (2018) - [j34]Elisa Cuadrado Godia, Md. Maniruzzaman, Tadashi Araki, Anudeep Puvvula, Md. Jahanur Rahman, Luca Saba, Harman S. Suri, Ajay Gupta, Sumit K. Banchhor, Jagjit S. Teji, Tomaz Omerzu, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Sophie Mavrogeni, George D. Kitas, Jasjit S. Suri:
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort. Comput. Biol. Medicine 101: 128-145 (2018) - [j33]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, Narendra N. Khanna, Jasjit S. Suri:
Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review. Comput. Biol. Medicine 101: 184-198 (2018) - [j32]Mainak Biswas, Venkatanareshbabu Kuppili, Damodar Reddy Edla, Harman S. Suri, Luca Saba, Rui Tato Marinho, J. Miguel Sanches, Jasjit S. Suri:
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm. Comput. Methods Programs Biomed. 155: 165-177 (2018) - [j31]Venkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, Harman S. Suri, Luca Saba, Damodar Reddy Edla, Rui Tato Marinho, J. Miguel Sanches, Jasjit S. Suri:
Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. J. Medical Syst. 42(1): 18:1 (2018) - 2017
- [j30]Tadashi Araki, Pankaj Kumar Jain, Harman S. Suri, Narendra D. Londhe, Nobutaka Ikeda, Ayman El-Baz, Vimal K. Shrivastava, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Ajay Gupta, Jasjit S. Suri:
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm. Comput. Biol. Medicine 80: 77-96 (2017) - [j29]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri:
Well-balanced system for coronary calcium detection and volume measurement in a low resolution intravascular ultrasound videos. Comput. Biol. Medicine 84: 168-181 (2017) - [j28]Joel Chia Ming Than, Luca Saba, Norliza Mohd. Noor, Omar Mohd. Rijal, Rosminah M. Kassim, Ashari Yunus, Harman S. Suri, Michele Porcu, Jasjit S. Suri:
Lung disease stratification using amalgamation of Riesz and Gabor transforms in machine learning framework. Comput. Biol. Medicine 89: 197-211 (2017) - [j27]Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, Petia Radeva, John R. Laird, Jasjit S. Suri:
Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm. Comput. Biol. Medicine 91: 198-212 (2017) - [j26]Luca Saba, Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, John R. Laird, Ajay Gupta, Andrew Nicolaides, Jasjit S. Suri:
Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials. Comput. Biol. Medicine 91: 306-317 (2017) - [j25]Nobutaka Ikeda, Nilanjan Dey, Aditya Sharma, Ajay Gupta, Soumyo Bose, Suvojit Acharjee, Shoaib Shafique, Elisa Cuadrado Godia, Tadashi Araki, Luca Saba, John R. Laird, Andrew Nicolaides, Jasjit S. Suri:
Automated segmental-IMT measurement in thin/thick plaque with bulb presence in carotid ultrasound from multiple scanners: Stroke risk assessment. Comput. Methods Programs Biomed. 141: 73-81 (2017) - [j24]Luca Saba, Pankaj Kumar Jain, Harman S. Suri, Nobutaka Ikeda, Tadashi Araki, Bikesh Kumar Singh, Andrew Nicolaides, Shoaib Shafique, Ajay Gupta, John R. Laird, Jasjit S. Suri:
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning Paradigm. J. Medical Syst. 41(6): 98:1-98:31 (2017) - [j23]Venkatanareshbabu Kuppili, Mainak Biswas, Aswini Sreekumar, Harman S. Suri, Luca Saba, Damodar Reddy Edla, Rui Tato Marinho, João Miguel Sanches, Jasjit S. Suri:
Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization. J. Medical Syst. 41(10): 152:1-152:20 (2017) - [j22]P. Krishna Kumar, Tadashi Araki, Jeny Rajan, Luca Saba, Francesco Lavra, Nobutaka Ikeda, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John R. Laird, Ajay Gupta, Jasjit S. Suri:
Accurate lumen diameter measurement in curved vessels in carotid ultrasound: an iterative scale-space and spatial transformation approach. Medical Biol. Eng. Comput. 55(8): 1415-1434 (2017) - 2016
- [j21]Michele Di Martino, Michele Anzidei, Fulvio Zaccagna, Luca Saba, Sandro Bosco, Massimo Rossi, Stefano Corradini, Carlo Catalano:
Qualitative analysis of small (≤2 cm) regenerative nodules, dysplastic nodules and well-differentiated HCCs with gadoxetic acid MRI. BMC Medical Imaging 16: 62:1-62:7 (2016) - [j20]P. V. Sudeep, Palanisamy Ponnusamy, Jeny Rajan, Hediyeh Baradaran, Luca Saba, Ajay Gupta, Jasjit S. Suri:
Speckle reduction in medical ultrasound images using an unbiased non-local means method. Biomed. Signal Process. Control. 28: 1-8 (2016) - [j19]Luca Saba, Sumit K. Banchhor, Harman S. Suri, Narendra D. Londhe, Tadashi Araki, Nobutaka Ikeda, Klaudija Viskovic, Shoaib Shafique, John R. Laird, Ajay Gupta, Andrew Nicolaides, Jasjit S. Suri:
Accurate cloud-based smart IMT measurement, its validation and stroke risk stratification in carotid ultrasound: A web-based point-of-care tool for multicenter clinical trial. Comput. Biol. Medicine 75: 217-234 (2016) - [j18]Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri:
A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens. Comput. Methods Programs Biomed. 124: 161-179 (2016) - [j17]Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Pankaj Kumar Jain, Narendra D. Londhe, Vimal K. Shrivastava, Sumit K. Banchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri:
PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology. Comput. Methods Programs Biomed. 128: 137-158 (2016) - [j16]Luca Saba, Nilanjan Dey, Amira S. Ashour, Sourav Samanta, Siddhartha Sankar Nath, Sayan Chakraborty, João M. Sanches, Dinesh Kumar, Rui Tato Marinho, Jasjit S. Suri:
Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm. Comput. Methods Programs Biomed. 130: 118-134 (2016) - [j15]Sumit K. Banchhor, Tadashi Araki, Narendra D. Londhe, Nobutaka Ikeda, Petia Radeva, Ayman El-Baz, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri:
Five multiresolution-based calcium volume measurement techniques from coronary IVUS videos: A comparative approach. Comput. Methods Programs Biomed. 134: 237-258 (2016) - [j14]Tadashi Araki, Sumit K. Banchhor, Narendra D. Londhe, Nobutaka Ikeda, Petia Radeva, Devarshi Shukla, Luca Saba, Antonella Balestrieri, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit S. Suri:
Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos. J. Medical Syst. 40(3): 51:1-51:20 (2016) - [j13]Nilanjan Dey, Soumyo Bose, Achintya Das, Sheli Sinha Chaudhuri, Luca Saba, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri:
Effect of Watermarking on Diagnostic Preservation of Atherosclerotic Ultrasound Video in Stroke Telemedicine. J. Medical Syst. 40(4): 91:1-91:14 (2016) - [j12]Luca Saba, Joel Chia Ming Than, Norliza Mohd. Noor, Omar Mohd. Rijal, Rosminah M. Kassim, Ashari Yunus, Chuen Rue Ng, Jasjit S. Suri:
Inter-observer Variability Analysis of Automatic Lung Delineation in Normal and Disease Patients. J. Medical Syst. 40(6): 142:1-142:18 (2016) - [j11]Tadashi Araki, P. Krishna Kumar, Harman S. Suri, Nobutaka Ikeda, Ajay Gupta, Luca Saba, Jeny Rajan, Francesco Lavra, Aditya M. Sharma, Shoaib Shafique, Andrew Nicolaides, John R. Laird, Jasjit S. Suri:
Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches. J. Medical Syst. 40(7): 182:1-182:19 (2016) - 2015
- [j10]Tadashi Araki, Nobutaka Ikeda, Nilanjan Dey, Sayan Chakraborty, Luca Saba, Dinesh Kumar, Elisa Cuadrado Godia, Xiaoyi Jiang, Ajay Gupta, Petia Radeva, John R. Laird, Andrew Nicolaides, Jasjit S. Suri:
A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. Comput. Methods Programs Biomed. 118(2): 158-172 (2015) - [j9]P. Krishna Kumar, P. Darshan, Sheethal Kumar, Rahul Ravindra, Jeny Rajan, Luca Saba, Jasjit S. Suri:
Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework. Int. J. Imaging Syst. Technol. 25(3): 256-264 (2015) - [j8]Norliza Mohd. Noor, Joel Chia Ming Than, Omar Mohd. Rijal, Rosminah M. Kassim, Ashari Yunus, Amir A. Zeki, Michele Anzidei, Luca Saba, Jasjit S. Suri:
Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm. J. Medical Syst. 39(3): 22 (2015) - 2013
- [j7]Luca Saba, Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Andrew Nicolaides, Jasjit S. Suri:
Inter- and intra-observer variability analysis of completely automated cIMT measurement software (AtheroEdge™) and its benchmarking against commercial ultrasound scanner and expert Readers. Comput. Biol. Medicine 43(9): 1261-1272 (2013) - [j6]U. Rajendra Acharya, Subbhuraam Vinitha Sree, Luca Saba, Filippo Molinari, Stefano Guerriero, Jasjit S. Suri:
Ovarian Tumor Characterization and Classification Using Ultrasound - A New Online Paradigm. J. Digit. Imaging 26(3): 544-553 (2013) - [c8]Filippo Molinari, Vipin Gupta, Poornima Prabhakaran, Kristen M. Meiburger, Luca Saba, U. Rajendra Acharya, Giuseppe Ledda, K. V. Radha Krishna, Gagandeep Kaur Walia, Sanjay Kinra, Andrew Nicolaides, Shah Ebrahim, Jasjit S. Suri:
Automated IMT estimation and BMI correlation using a low-quality carotid ultrasound image database from India. EMBC 2013: 3343-3346 - 2012
- [j5]Filippo Molinari, Kristen M. Meiburger, Luca Saba, U. Rajendra Acharya, Giuseppe Ledda, Guang Zeng, Sin Yee Stella Ho, Anil T. Ahuja, Suzanne C. Ho, Andrew Nicolaides, Jasjit S. Suri:
Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods. Comput. Methods Programs Biomed. 108(3): 946-960 (2012) - [j4]U. Rajendra Acharya, Oliver Faust, Peng Chuan Alvin Ang, Subbhuraam Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, Jasjit S. Suri:
Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound. J. Medical Syst. 36(3): 1861-1871 (2012) - [j3]U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, Jasjit S. Suri:
An Accurate and Generalized Approach to Plaque Characterization in 346 Carotid Ultrasound Scans. IEEE Trans. Instrum. Meas. 61(4): 1045-1053 (2012) - [j2]Filippo Molinari, Ganapathy Krishnamurthi, U. Rajendra Acharya, Subbhuraam Vinitha Sree, Guang Zeng, Luca Saba, Andrew Nicolaides, Jasjit S. Suri:
Hypothesis Validation of Far-Wall Brightness in Carotid-Artery Ultrasound for Feature-Based IMT Measurement Using a Combination of Level-Set Segmentation and Registration. IEEE Trans. Instrum. Meas. 61(4): 1054-1063 (2012) - [j1]Filippo Molinari, Constantinos S. Pattichis, Guang Zeng, Luca Saba, U. Rajendra Acharya, Roberto Sanfilippo, Andrew Nicolaides, Jasjit S. Suri:
Completely Automated Multiresolution Edge Snapper - A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database. IEEE Trans. Image Process. 21(3): 1211-1222 (2012) - [c7]U. Rajendra Acharya, Vinitha Sree S, Muthu Rama Krishnan Mookiah, Luca Saba, Filippo Molinari, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri:
Carotid far wall characterization using LBP, Laws' Texture Energy and wall variability: A novel class of Atheromatic systems. EMBC 2012: 448-451 - [c6]Filippo Molinari, Kristen M. Meiburger, Luca Saba, Guang Zeng, U. Rajendra Acharya, Mario Piga, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri:
Distal wall delineation using automated Dual Snake paradigm: A multi-center and multi-ethnic carotid ultrasound evaluation. EMBC 2012: 484-487 - [c5]Filippo Molinari, Kristen M. Meiburger, Luca Saba, Giuseppe Ledda, Michele Anzidei, U. Rajendra Acharya, Guang Zeng, Shoaib Shafique, Andrew Nicolaides, Jasjit S. Suri:
Carotid IMT variability (IMTV): Its design and validation in symptomatic vs. asymptomatic 142 Italian population. EMBC 2012: 2668-2671 - [c4]