Luca Saba

4.3k citations

67 papers · 1.9k indexed · h-index 28

Impact in

Health Informatics top 1%
Health Information Management top 1%
- Artificial Intelligence in Healthcare

Papers in

Health Informatics 5
- Artificial Intelligence in Healthcare and Education 5
Radiology, Nuclear Medicine and Imaging 32
- Radiomics and Machine Learning in Medical Imaging 14
- Cardiac Imaging and Diagnostics 10
- COVID-19 diagnosis using AI 5

Co-authors: Jasjit S. Suri Narendra N. Khanna Andrew Nicolaides John R. Laird Amer M. Johri Harman S. Suri João Sanches Ankush D. Jamthikar
Journals: Computers in Biology and Medicine (7 papers)IEEE Transactions on Instrumentation and Measurement (5 papers)Journal of Medical Systems (4 papers)International journal of cardiac imaging (3 papers)Current Atherosclerosis Reports (2 papers)
Partner nations: Italy United States India

In The Last Decade

Luca Saba

61 papers receiving 1.8k citations

Peers

Countries citing papers authored by Luca Saba

Since Specialization

Citations

This map shows the geographic impact of Luca Saba's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luca Saba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Saba more than expected).

Fields of papers citing papers by Luca Saba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luca Saba. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luca Saba. The network helps show where Luca Saba may publish in the future.

Co-authors

The 25 scholars most cited alongside Luca Saba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luca Saba Line = papers co-authored together Luca Saba links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	The 2024 ESC guidelines for the management of peripheral arterial and aortic diseases. Focus on carotid artery disease revascularization: should we worried about a paradigm shift? Journal of Cardiovascular Medicine ·Stefano Galli, Luca Saba, Kabumbe Athumani, Piero Montorsi	2025	0
2	Radiomics-based machine learning atherosclerotic carotid artery disease in ultrasound: systematic review with meta-analysis of RQS Journal of Ultrasound ·森久也, Simone Lara, M. Tzivaki, Melker He de, Qi Yang, Andrea Annoni, Gianluca Pontone, Francesco Costa, Kosmas I. Paraskevas, Andrew Nicolaides, Jasjit S. Suri, Luca Saba	2025	0
3	Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review Artificial Intelligence Review ·Belinda Agbale, Suneet Kumar Gupta, M. Suresh, Luca Saba, Narendra N. Khanna, John R. Laird, Siva Skandha Sanagala, Rajesh Kumar Singh, Deepak Garg, Mostafa M. Fouda, Jasjit S. Suri	2024	17
4	UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review Reviews in Cardiovascular Medicine ·Luca Saba, Mahesh Maindarkar, Amer M. Johri, Laura E. Mantella, John R. Laird, Narendra N. Khanna, Kosmas I. Paraskevas, Zoltán Ruzsa, Ernst Brauchlin, José Fernandes e Fernandes, Seemant Chaturvedi, Andrew Nicolaides, Vijay Rathore, Narpinder Singh, Esma R. Isenović, Vijay Viswanathan, Mostafa M. Fouda, Jasjit S. Suri	2024	7
5	Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation Computers in Biology and Medicine ·Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, Neha Gupta, Manudeep Kalra, Mario Scartozzi, Luca Saba, Jasjit S. Suri	2023	27
6	Suboptimal Chest Radiography and Artificial Intelligence: The Problem and the Solution Diagnostics ·敬志會田, Mannudeep K. Kalra, Yong Yang, Chiara D. Arru, أ.د نادية حسن أبو سكينة, Luca Saba, Esteban González-Echeverría, 鹏博夏, Sanjaya Viswamitra, Perepelitsa, Lina Karout, Keith J. Dreyer	2023	3
7	Brain-reactive autoantibodies in neuropsychiatric systemic lupus erythematosus Frontiers in Immunology ·Cristina Cocco, Jaime Silva-González, G Corda, Maria Maddalena Angioni, Barbara Noli, Mattia Congia, Francesco Loy, Michela Isola, Elisabetta Chessa, Alberto Floris, Lorena Lorefice, Luca Saba, Alessandro Mathieu, Gian‐Luca Ferri, Alberto Cauli, Matteo Piga	2023	17
8	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 ·Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Kumar Pandey, Suneet Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep Kalra, Mostafa M. Fouda, Mostafa Fatemi, Jorge E. Castillo Guerra	2022	39
9	A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review Diagnostics ·Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, Athanase D. Protogerou, Petros P. Sfikakis, George D. Kitas, Narendra N. Khanna, Zoltán Ruzsa, Aditya Sharma, Sanjay Saxena, Gavino Faa, John R. Laird, Amer M. Johri, Manudeep Kalra, Kosmas I. Paraskevas, Luca Saba	2022	27
10	Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization Computers in Biology and Medicine ·Amer M. Johri, Krishna V. Singh, Laura E. Mantella, Luca Saba, Aditya Sharma, John R. Laird, Cristian Popovici, Inder M. Singh, Bruno Toaldo, Maria Pilar Diezhandino, Jasjit S. Suri	2022	27
11	Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective IEEE Journal of Biomedical and Health Informatics ·Jasjit S. Suri, Sushant Agarwal, Suneet Gupta, Anudeep Puvvula, Klaudija Višković, J.J. Knoerzer, Azra Alizad, Ayman El‐Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu	2021	33
12	Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system International journal of cardiac imaging ·Luca Saba, Siva Skandha Sanagala, Suneet Gupta, Vijaya Kumar Koppula, Amer M. Johri, Aditya Sharma, Raghu Kolluri, Deepak L. Bhatt, Andrew Nicolaides, Jasjit S. Suri	2021	44
13	Ensemble Machine Learning and Its Validation for Prediction of Coronary Artery Disease and Acute Coronary Syndrome Using Focused Carotid Ultrasound IEEE Transactions on Instrumentation and Measurement ·Ankush D. Jamthikar, Deep Gupta, Laura E. Mantella, Luca Saba, Amer M. Johri, Jasjit S. Suri	2021	20
14	A Multicenter Study on Carotid Ultrasound Plaque Tissue Characterization and Classification Using Six Deep Artificial Intelligence Models: A Stroke Application IEEE Transactions on Instrumentation and Measurement ·Luca Saba, Siva Skandha Sanagala, Suneet Gupta, Vijaya Kumar Koppula, John R. Laird, Vijay Viswanathan, João Sanches, George D. Kitas, Amer M. Johri, Neeraj Sharma, Andrew Nicolaides, Jasjit S. Suri	2021	30
15	Role of artificial intelligence in cardiovascular risk prediction and outcomes: comparison of machine-learning and conventional statistical approaches for the analysis of carotid ultrasound features and intra-plaque neovascularization International journal of cardiac imaging ·Amer M. Johri, Laura E. Mantella, Ankush D. Jamthikar, Luca Saba, John R. Laird, Jasjit S. Suri	2021	20
16	Does the Carotid Bulb Offer a Better 10-Year CVD/Stroke Risk Assessment Compared to the Common Carotid Artery? A 1516 Ultrasound Scan Study Angiology ·Vijay Viswanathan, Ankush D. Jamthikar, Deep Gupta, Anudeep Puvvula, Narendra N. Khanna, Luca Saba, Klaudija Višković, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanase D. Protogerou, Aditya Sharma, Qingli Feng, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Andrew Nicolaides, Jasjit S. Suri	2020	13
17	A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes Cardiovascular Diagnosis and Therapy ·Ankush D. Jamthikar, Deep Gupta, Narendra N. Khanna, Luca Saba, Tadashi Araki, Klaudija Višković, Harman S. Suri, Ajay Gupta, Sophie Mavrogeni, Monika Turk, John R. Laird, Gyan Pareek, Martin Miner, Petros P. Sfikakis, Athanase D. Protogerou, George D. Kitas, Vijay Viswanathan, Andrew Nicolaides, Deepak L. Bhatt, Jasjit S. Suri	2019	57
18	Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm Computer Methods and Programs in Biomedicine ·Mainak Biswas, Venkatanareshbabu Kuppili, Damodar Reddy Edla, Harman S. Suri, Luca Saba, Anastacia Kodi, João Sanches, Jasjit S. Suri	2017	126
19	CARES 3.0: A two stage system combining feature-based recognition and edge-based segmentation for CIMT measurement on a multi-institutional ultrasound database of 300 images PubMed ·Filippo Molinari, Kristen M. Meiburger, U. Rajendra Acharya, Guang Zeng, Paulo S. Rodrigues, Luca Saba, Athanassios Nicolaides, Jasjit S. Suri	2011	8
20	Symptomatic vs. Asymptomatic Plaque Classification in Carotid Ultrasound Journal of Medical Systems ·U. Rajendra Acharya, Oliver Faust, Ang Peng Chuan Alvin, S. Vinitha Sree, Filippo Molinari, Luca Saba, Andrew Nicolaides, Jasjit S. Suri	2011	100

About Luca Saba

Luca Saba is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Neurology, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (23 papers), Cardiovascular Health and Disease Prevention (23 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Cardiac Imaging and Diagnostics (10 papers), COVID-19 diagnosis using AI (5 papers), AI in cancer detection (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Health Informatics (139 citations), Health Information Management (173 citations), Neurology (287 citations), Radiology, Nuclear Medicine and Imaging (762 citations) and Cardiology and Cardiovascular Medicine (533 citations). Luca Saba has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Jasjit S. Suri, Narendra N. Khanna, Andrew Nicolaides, John R. Laird, Amer M. Johri, Harman S. Suri, João Sanches, Ankush D. Jamthikar, Gopal S. Tandel and Antonella Balestrieri. Their work appears in journals such as Computers in Biology and Medicine, IEEE Transactions on Instrumentation and Measurement, Journal of Medical Systems, International journal of cardiac imaging and Current Atherosclerosis Reports.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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