Publication

2026

I. Shiri, D. Tomii, G. Baj, P. M. Kazaj, T. Yoshida, W. Xie, T. Okuno, M. Nakase, D. Samim, W. Valenzuela, S. Stortecky, D. Reineke, J. Lanz, G. C. M. Siontis, Y. J. Akashi, T. Pilgrim, S. Windecker, C. Gräni
Multimodal artificial intelligence-based long-term mortality prediction after transcatheter aortic valve implantation: a multicentre development, validation, and testing study
Lancet Digit. Health, In Press, 2026
G. Baj, N. Ciocca, P. M. Kazaj, X. Ma, A. A. Studer Bruengger, S. F. Stämpfli, N. F. Ehl, S. Hugelshofer, O. Pfister, J. Lehmann, C. Ryffel, L. Hunziker, M. Poledniczek, A. Kammerlander, G. C. M. Siontis, S. Windecker, M. J. Hundertmark, C. Nitsche, I. Shiri, C. Gräni
Machine Learning–Driven Risk Prediction Model in Transthyretin Amyloid Cardiomyopathy
JAMA Cardiol., In Press, 2026
Y. Ren, D. Windecker, I. Shiri, C. Gräni, A. G. Fraser, E. G. Caiani, G. C. Siontis
Delays between CE mark and FDA regulatory approval of AI-enabled software for radiology
npj Digit. Med., In Press, 2026
G. Hajianfar, Y. Salimi, M. Amini, X. Hong, R. Nkoulou, E. Jenabi, Z. Mansouri, A. Aghaee, S. Bagheri, A. Sanaat, A. Bitarafan-Rajabi, H. Arabi, I. Shiri, H. Zaidi
Reconstruction-informed and multidomain deep learning for generalizable CT-free attenuation correction in SPECT myocardial perfusion imaging
Medical Image Analysis, vol. 113, pp. 104220, 2026
P. M. Kazaj, L. F. Weber, W. Xie, S. A. A. Safavi-Naini, A. Stark, G. Baj, A. Mokhtari, T. Yoshida, C. Ryffel, T. Okuno, Y. Akashi, R. R. Buechel, T. Pilgrim, W. Valenzuela, G. C. M. Siontis, X. Xu, M. Hundertmark, S. Windecker, C. Grani, I. Shiri
A Unified Framework for Comprehensive Cardiac CT Segmentation and Phenotyping: Human-in-the-Loop Data Annotation, Vision Foundation Model Development, Multicenter Evaluation and Clinical Validation
arXiv:2607.11287, 2026
G. Baj, N. Ciocca, P. Mohammadi Kazaj, X. Ma, B. Bernhard, J. H. Li, J. Schütze, G. Siontis, S. Windecker, S. Zhao, others
Artificial Intelligence-Driven Risk Prediction for Major Adverse Cardiovascular Events in Myocarditis: A Multinational Model Development, Validation, and Testing Study
SSRN, 2026
S. A. A. Safavi-Naini, E. Meftah, J. Mohess, P. M. Kazaj, G. Siontis, Z. Atf, P. R. Lewis, M. Reyes, G. Nadkarni, R. Wiest, S. Windecker, C. Grani, A. Soroush, I. Shiri
Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework
arXiv:2604.08226, 2026
M. Salmanpour, M. Oveisi, I. Shiri, A. Rahmim
Radiuma: A Unified Zero-Code Executable Graphical Workflow Generator for Reproducible and Shareable Medical Image Analysis and Machine Learning
arXiv:2605.24201, 2026
M. R. Salmanpour, A. H. Pouria, S. Barichin, Y. Salehi, S. Falahati, I. Shiri, M. Oveisi, A. Rahmim
PySERA: Open-source standardized python library for automated, scalable, and reproducible handcrafted and deep radiomics
Computer Methods and Programs in Biomedicine, vol. 284, pp. 109463, 2026
N. Ciocca, R. Fuentes Artiles, A. Studer Bruengger, S. Hugelshofer, S. F. Stämpfli, N. F. Ehl, L. Pieczora, A. Suter, D. Pongan, S. Ministrini, O. Pfister, P. Meyer, I. Shiri, L. Hunziker, M. J. Hundertmark, C. Gräni
Sex Differences in Presentation and Outcomes of Transthyretin Amyloid Cardiomyopathy
JACC: Advances, vol. 5, pp. 103068, 2026
A. Mokhtari, A. W. Stark, D. Obrist, M. R. Bigler, S. F. de Marchi, L. Räber, I. Shiri, C. Gräni
Fluid dynamics-informed CCTA-derived geometric parameters in right coronary artery anomalies predict abnormal invasive Adenosine-FFR and Dobutamine-FFR
Computers in Biology and Medicine, vol. 213, pp. 111851, 2026
N. Ciocca, D. Brändle, L. Riederer, K. Fischer, J. Schütze, A. Wahl, G. Tanner, D. P. Guensch, K. Stoyanov, C. Garefa, M. Pavlicek-Bahlo, M. Hundertmark, I. Shiri, B. Bernhard, R. Y. Kwong, C. Gräni
Atrial Function by Long Axis Shortening Enhances Risk Stratification Beyond Traditional CMR Markers in Possible Myocarditis
JACC: Cardiovascular Imaging, vol. 19, pp. 940-950, 2026
D. Samim, D. Tomii, J. Lanz, S. Stortecky, D. Angellotti, J. Bartkowiak, N. Elamin, K. Nilsson, N. Haymour, I. Shiri, C. Gräni, D. Reineke, M. Siepe, F. Praz, P. Jüni, S. Windecker, T. Pilgrim
Association of Bicuspid Aortic Valve Morphology With Outcomes Among Patients Undergoing Transcatheter Aortic Valve Replacement
JACC: Cardiovascular Imaging, vol. 19, pp. 1006-1009, 2026
B. Bernhard, E. Fabian, K. Stoyanov, E. Elena, I. R. Marques, A. Bakula, C. Garefa, W. Andreas, R. Christoph, G. Tanner, A. A. Peters, M. Hundertmark, I. Shiri, R. Y. Kwong, C. Gräni
Clinical and cardiac magnetic resonance phenotype of probable viral vs probable immune-mediated acute myocarditis
European Journal of Heart Failure, pp. xuag202, 2026
A. W. Stark, M. Ilic, A. Mokhtari, P. M. Kazaj, C. Gräni, I. Shiri
multimodars: A Rust-powered toolkit for multi-modality cardiac image fusion and registration
JOSS, vol. 11, pp. 10131, 2026
Y. Zheng, K. C. Siontis, Z. I. Attia, I. Shiri, L. Roten, G. Baj, P. M. Kazaj, F. Lopez-Jimenez, B. J. Gersh, C. Gräni, T. Reichlin, P. A. Friedman, S. Windecker, P. A. Noseworthy, G. C. M. Siontis
Artificial intelligence 12-lead electrocardiography to determine atrial fibrillation risk among UK Biobank participants with predisposing conditions
European Heart Journal - Digital Health, vol. 7, pp. ztag025, 2026
A. W. Stark, A. Ferroni, R. L. Mathey-de-l’Endroit, R. Kakizaki, M. R. Bigler, F. G. Biccirè, M. Ilic, I. Shiri, A. Haeberlin, M. Siepe, S. Windecker, L. Räber, C. Gräni
Invasive Right Anomalous Coronary Arteries Assessment: Intravascular Ultrasound and Adenosine vs Dobutamine Fractional Flow Reserve
JACC: Advances, vol. 5, pp. 102526, 2026

2025

A. W. Stark, P. Mohammadi Kazaj, S. Balzer, M. Ilic, M. Bergamin, R. Kakizaki, A. Giannopoulos, A. Haeberlin, L. Räber, I. Shiri, C. Gräni
Automated intravascular ultrasound image processing and quantification of coronary artery anomalies: The AIVUS-CAA software
Computer Methods and Programs in Biomedicine, vol. 272, pp. 109065, 2025
M. R. Bigler, A. W. Stark, F. Caobelli, A. Rominger, R. Kakizaki, F. G. Biccirè, S. M. A. Al-Sabri, I. Shiri, M. Siepe, S. Windecker, L. Räber, C. Gräni
Noninvasive Anatomical and Functional Imaging for Hemodynamic Relevance in Right Coronary Artery Anomalies
JAMA Cardiol, vol. 10, pp. 1055, 2025
D. Tomii, I. Shiri, G. Baj, M. Nakase, P. M. Kazaj, D. Samim, J. Bartkowiak, F. Praz, J. Lanz, S. Stortecky, D. Reineke, S. Windecker, T. Pilgrim, C. Gräni
Multimodal Machine Learning-Based Technical Failure Prediction in Patients Undergoing Transcatheter Aortic Valve Replacement
JACC: Advances, vol. 4, pp. 102168, 2025
A. Maznyczka, R. J. Nuis, I. Shiri, J. Ternacle, P. Garot, M. M. P. van den Dorpel, A. A. Khokhar, R. De Lucia, M. Orini, S. Kutty, J. Grapsa, C. Gräni, A. Pandey, T. Becker, K. O’Gallagher, P. Mortier, L. P. Dasi, K. F. Kofoed, S. Engelhardt, P. Biaggi, F. S. Ahmad, D. D. Wang, L. Leroux, T. Modine, S. Windecker, R. T. Hahn, N. M. Van Mieghem, O. De Backer
Artificial Intelligence in Valvular Heart Disease: Innovations and Future Directions
JACC: Cardiovascular Interventions, vol. 18, pp. 2439-2457, 2025
S. Izadi, I. Shiri, C. F. Uribe, P. Geramifar, H. Zaidi, A. Rahmim, G. Hamarneh
Enhanced direct joint attenuation and scatter correction of whole-body PET images via context-aware deep networks
Zeitschrift für Medizinische Physik, vol. 35, pp. 304-317, 2025
G. Hajianfar, O. Gharibi, M. Sabouri, M. Mohebi, M. Amini, M. J. Yasemi, M. Chehreghani, M. Maghsudi, Z. Mansouri, M. Edalat-Javid, S. Valavi, A. Bitarafan Rajabi, Y. Salimi, H. Arabi, A. Rahmim, I. Shiri, H. Zaidi
Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study
Eur J Nucl Med Mol Imaging, vol. 52, pp. 3019-3035, 2025
Y. Salimi, I. Shiri, Z. Mansouri, A. Sanaat, G. Hajianfar, E. Hervier, A. Bitarafan, F. Caobelli, M. Hundertmark, I. Mainta, C. Gräni, R. Nkoulou, H. Zaidi
Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study
Eur J Nucl Med Mol Imaging, vol. 52, pp. 2513-2528, 2025
J. Illi, M. Bergamin, M. Ilic, A. W. Stark, S. Bracher, M. Hofmann, J. Burger, I. Shiri, A. Haeberlin, C. Gräni
Mechanical properties of 3D voxel-printed materials for cardiovascular tissue imitation
Front. Bioeng. Biotechnol., vol. 13, pp. 1569553, 2025
D. Windecker, G. Baj, I. Shiri, P. M. Kazaj, J. Kaesmacher, C. Gräni, G. C. M. Siontis
Generalizability of FDA-Approved AI-Enabled Medical Devices for Clinical Use
JAMA Netw Open, vol. 8, pp. e258052, 2025
D. Du, I. Shiri, F. Yousefirizi, M. R. Salmanpour, J. Lv, H. Wu, W. Zhu, H. Zaidi, L. Lu, A. Rahmim
Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypes
EJNMMI Phys, vol. 12, pp. 34, 2025
Y. Salimi, Z. Mansouri, I. Shiri, I. Mainta, H. Zaidi
Deep Learning–Powered CT-Less Multitracer Organ Segmentation From PET Images: A Solution for Unreliable CT Segmentation in PET/CT Imaging
Clin Nucl Med, vol. 50, pp. 289-300, 2025
I. Shiri, G. Baj, P. Mohammadi Kazaj, M. R. Bigler, A. W. Stark, W. Valenzuela, R. Kakizaki, M. Siepe, S. Windecker, L. Räber, A. A. Giannopoulos, G. C. Siontis, R. R. Buechel, C. Gräni
AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography images
Nat Commun, vol. 16, pp. 3095, 2025
A. W. Stark, R. L. Matthey-de-l’Endroit, A. Ferroni, R. Kakizaki, M. R. Bigler, F. G. Biccirè, Y. Ueki, A. Haeberlin, M. Siepe, I. Shiri, S. Windecker, L. Räber, C. Gräni
Coronary CT Anatomy-Based Prediction of Invasively Assessed Hemodynamic Significance in Middle-Aged Patients With Right Coronary Artery Anomaly: The NARCO Study
Circulation, vol. 151, pp. 578-580, 2025
P. M. Kazaj, B. Coles, I. Shiri, G. Baj, C. Gräni, A. Nikolakopoulou, G. C. M. Siontis
Extent of evidence synthesis in biomedical research: a MeSH-driven analysis of neglected and well-explored areas
Syst Rev, vol. 14, pp. 35, 2025
O. Gharibi, G. Hajianfar, M. Sabouri, M. Mohebi, S. Bagheri, F. Arian, M. J. Yasemi, A. Bitarafan Rajabi, A. Rahmim, H. Zaidi, I. Shiri
Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization
Medical Physics, vol. 52, pp. 965-977, 2025
Y. Salimi, I. Shiri, Z. Mansouri, H. Zaidi
Development and validation of fully automated robust deep learning models for multi-organ segmentation from whole-body CT images
Physica Medica, vol. 130, pp. 104911, 2025
J. Schütze, B. Bernhard, N. Greisser, P. Joss, S. Manser, A. W. Stark, I. Shiri, C. Gebhard, M. Pavlicek, M. Wilhelm, C. Gräni
Sports behaviour and adherence to sports and exercise recommendations in patients with myocarditis
BMJ Open Sport Exerc Med, vol. 11, pp. e002218, 2025
J. Schütze, N. Greisser, P. Joss, C. Gebhard, B. Bernhard, S. Greulich, A. W. Stark, Y. Safarkhanlo, M. Pavlicek, M. Hundertmark, I. Shiri, R. Kwong, C. Gräni
Sex- specific differences in suspected myocarditis presentations and outcomes
International Journal of Cardiology, vol. 418, pp. 132593, 2025
I. Shiri, S. Balzer, G. Baj, B. Bernhard, M. Hundertmark, A. Bakula, M. Nakase, D. Tomii, G. Barbati, S. Dobner, W. Valenzuela, A. Rominger, F. Caobelli, G. C. M. Siontis, J. Lanz, T. Pilgrim, S. Windecker, S. Stortecky, C. Gräni
Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis
Eur J Nucl Med Mol Imaging, vol. 52, pp. 485-500, 2025
J. Illi, A. W. Stark, M. Ilic, D. Soares Loureiro, D. Obrist, I. Shiri, L. Räber, A. Haeberlin, C. Gräni
Hemodynamic Relevance Evaluation of Coronary Artery Anomaly During Stress Using FFR/IVUS in an Artificial Twin
JACC: Case Reports, vol. 30, pp. 102729, 2025
P. M. Kazaj, G. Baj, Y. Salimi, A. W. Stark, W. Valenzuela, G. C. Siontis, H. Zaidi, M. Reyes, C. Graeni, I. Shiri
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation
arXiv:2503.01306, 2025

2024

M. R. Bigler, A. W. Stark, I. Shiri, J. Illi, M. Siepe, F. Caobelli, A. A. Giannopoulos, R. R. Buechel, A. Haeberlin, D. Obrist, L. Räber, C. Gräni
Noninvasive anatomical assessment for ruling out hemodynamically relevant coronary artery anomalies in adults – A comparison of coronary-CT to invasive coronary angiography: The NARCO study design
Contemporary Clinical Trials Communications, vol. 42, pp. 101394, 2024
M. Amini, Y. Salimi, G. Hajianfar, I. Mainta, E. Hervier, A. Sanaat, A. Rahmim, I. Shiri, H. Zaidi
Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to ¹⁸F-FDG PET Scans
Clin Nucl Med, vol. 49, pp. 1079-1090, 2024
C. Eichhorn, D. Koeckerling, R. K. Reddy, M. Ardissino, M. Rogowski, B. Coles, L. Hunziker, S. Greulich, I. Shiri, N. Frey, J. Eckstein, S. Windecker, R. Y. Kwong, G. C. M. Siontis, C. Gräni
Risk Stratification in Nonischemic Dilated Cardiomyopathy Using CMR Imaging: A Systematic Review and Meta-Analysis
JAMA, vol. 332, pp. 1535, 2024
B. Bernhard, M. E. Marxer, J. C. Zurkirchen, J. Schütze, A. Wahl, E. Elchinova, G. Spano, M. Boscolo Berto, M. Wieser, C. Garefa, M. Hundertmark, M. Pavlicek-Bahlo, I. Shiri, R. Y. Kwong, C. Gräni
Prognostic Implications of Clinical and Imaging Diagnostic Criteria for Myocarditis
JACC, vol. 84, pp. 1373-1387, 2024
Y. Salimi, G. Hajianfar, Z. Mansouri, A. Sanaat, M. Amini, I. Shiri, H. Zaidi
Organomics: A Concept Reflecting the Importance of PET/CT Healthy Organ Radiomics in Non–Small Cell Lung Cancer Prognosis Prediction Using Machine Learning
Clin Nucl Med, vol. 49, pp. 899-908, 2024
S. Dobner, B. Bernhard, L. Ninck, M. Wieser, A. Bakula, A. Wahl, V. Köchli, G. Spano, M. Boscolo Berto, E. Elchinova, Y. Safarkhanlo, S. Stortecky, J. Schütze, I. Shiri, L. Hunziker, C. Gräni
Impact of Tafamidis on Myocardial Function and CMR Tissue Characteristics in Transthyretin Amyloid Cardiomyopathy
ESC Heart Failure, vol. 11, pp. 2759-2768, 2024
F. Yousefirizi, I. Shiri, J. H. O, I. Bloise, P. Martineau, D. Wilson, F. Bénard, L. H. Sehn, K. J. Savage, H. Zaidi, C. F. Uribe, A. Rahmim
Semi-supervised learning towards automated segmentation of PET images with limited annotations: application to lymphoma patients
Phys Eng Sci Med, vol. 47, pp. 833-849, 2024
B. Bernhard, J. Schütze, Z. L. Leib, G. Spano, M. Boscolo Berto, A. Bakula, D. Tomii, I. Shiri, N. Brugger, S. De Marchi, D. Reineke, S. Dobner, D. Heg, F. Praz, J. Lanz, S. Stortecky, T. Pilgrim, S. Windecker, C. Gräni
Myocardial analysis from routine 4D cardiac-CT to predict reverse remodeling and clinical outcomes after transcatheter aortic valve implantation
European Journal of Radiology, vol. 175, pp. 111425, 2024
Y. Salimi, Z. Mansouri, G. Hajianfar, A. Sanaat, I. Shiri, H. Zaidi
Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
Medical Physics, vol. 51, pp. 4095-4104, 2024
G. Hajianfar, M. Sabouri, Y. Salimi, M. Amini, S. Bagheri, E. Jenabi, S. Hekmat, M. Maghsudi, Z. Mansouri, M. Khateri, M. Hosein Jamshidi, E. Jafari, A. Bitarafan Rajabi, M. Assadi, M. Oveisi, I. Shiri, H. Zaidi
Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance
Zeitschrift für Medizinische Physik, vol. 34, pp. 242-257, 2024
B. Bernhard, P. Joss, N. Greisser, A. W. Stark, J. Schütze, I. Shiri, Y. Safarkhanlo, K. Fischer, D. P. Guensch, J. A. M. Bastiaansen, M. Pavlicek, D. C. Benz, R. Y. Kwong, C. Gräni
Prognostic value of visual and quantitative CMR regional myocardial function in patients with suspected myocarditis
Int J Cardiovasc Imaging, vol. 40, pp. 907-920, 2024
P. Whybra, A. Zwanenburg, V. Andrearczyk, R. Schaer, A. P. Apte, A. Ayotte, B. Baheti, S. Bakas, A. Bettinelli, R. Boellaard, L. Boldrini, I. Buvat, G. J. R. Cook, F. Dietsche, N. Dinapoli, H. S. Gabryś, V. Goh, M. Guckenberger, M. Hatt, M. Hosseinzadeh, A. Iyer, J. Lenkowicz, M. A. L. Loutfi, S. Löck, F. Marturano, O. Morin, C. Nioche, F. Orlhac, S. Pati, A. Rahmim, S. M. Rezaeijo, C. G. Rookyard, M. R. Salmanpour, A. Schindele, I. Shiri, E. Spezi, S. Tanadini-Lang, F. Tixier, T. Upadhaya, V. Valentini, J. J. M. van Griethuysen, F. Yousefirizi, H. Zaidi, H. Müller, M. Vallières, A. Depeursinge
The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
Radiology, vol. 310, pp. e231319, 2024
I. Shiri, B. Razeghi, S. Ferdowsi, Y. Salimi, D. Gündüz, D. Teodoro, S. Voloshynovskiy, H. Zaidi
PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation
Journal of Biomedical Informatics, vol. 150, pp. 104583, 2024
L. Alwan, D. C. Benz, S. A. M. Cuddy, S. Dobner, I. Shiri, F. Caobelli, B. Bernhard, S. F. Stämpfli, F. Eberli, M. Reyes, R. Y. Kwong, R. H. Falk, S. Dorbala, C. Gräni
Current and Evolving Multimodality Cardiac Imaging in Managing Transthyretin Amyloid Cardiomyopathy
JACC: Cardiovascular Imaging, vol. 17, pp. 195-211, 2024
I. Shiri, M. Amini, F. Yousefirizi, A. Vafaei Sadr, G. Hajianfar, Y. Salimi, Z. Mansouri, E. Jenabi, M. Maghsudi, I. Mainta, M. Becker, A. Rahmim, H. Zaidi
Information fusion for fully automated segmentation of head and neck tumors from PET and CT images
Medical Physics, vol. 51, pp. 319-333, 2024
H. Abdollahi, F. Yousefirizi, I. Shiri, J. Brosch-Lenz, E. Mollaheydar, A. Fele-Paranj, K. Shi, H. Zaidi, I. Alberts, M. Soltani, C. Uribe, B. Saboury, A. Rahmim
Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies
Theranostics, vol. 14, pp. 3404-3422, 2024
M. Sabouri, A. Toosi, G. Hajianfar, M. J. Yasemi, M. Edalat-Javid, S. Valavi, A. Bitarafan Rajabi, I. Shiri, H. Zaidi, C. Uribe, A. Rahmim
SPECT Myocardial Perfusion Imaging Projection Generation: A Dual Approach Utilizing DDPM and CNN, and Comparative Analysis on Dual-Domains
Journal of Nuclear Medicine, vol. 65, pp. 242527, 2024

2023

H. Taleie, G. Hajianfar, M. Sabouri, M. Parsaee, G. Houshmand, A. Bitarafan-Rajabi, H. Zaidi, I. Shiri
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms
J Digit Imaging, vol. 36, pp. 2494-2506, 2023
I. Shiri, Y. Salimi, M. Maghsudi, E. Jenabi, S. Harsini, B. Razeghi, S. Mostafaei, G. Hajianfar, A. Sanaat, E. Jafari, R. Samimi, M. Khateri, P. Sheikhzadeh, P. Geramifar, H. Dadgar, A. Bitrafan Rajabi, M. Assadi, F. Bénard, A. Vafaei Sadr, S. Voloshynovskiy, I. Mainta, C. Uribe, A. Rahmim, H. Zaidi
Differential privacy preserved federated transfer learning for multi-institutional ⁶⁸Ga-PET image artefact detection and disentanglement
Eur J Nucl Med Mol Imaging, vol. 51, pp. 40-53, 2023
G. Hajianfar, M. Khorgami, Y. Rezaei, M. Amini, N. Samiei, A. Tabib, B. K. Borji, S. Kalayinia, I. Shiri, S. Hosseini, M. Oveisi
Comparison of Machine Learning Algorithms Using Manual/Automated Features on 12-Lead Signal Electrocardiogram Classification: A Large Cohort Study on Students Aged Between 6 to 18 Years Old
Cardiovasc Eng Tech, vol. 14, pp. 786-800, 2023
I. Shiri, Y. Salimi, E. Hervier, A. Pezzoni, A. Sanaat, S. Mostafaei, A. Rahmim, I. Mainta, H. Zaidi
Artificial Intelligence–Driven Single-Shot PET Image Artifact Detection and Disentanglement: Toward Routine Clinical Image Quality Assurance
Clin Nucl Med, vol. 48, pp. 1035-1046, 2023
M. Sabouri, A. B. Rajabi, G. Hajianfar, O. Gharibi, M. Mohebi, A. H. Avval, N. Naderi, I. Shiri
Machine learning based readmission and mortality prediction in heart failure patients
Sci Rep, vol. 13, pp. 18671, 2023
I. Shiri, B. Razeghi, A. Vafaei Sadr, M. Amini, Y. Salimi, S. Ferdowsi, P. Boor, D. Gündüz, S. Voloshynovskiy, H. Zaidi
Multi-institutional PET/CT image segmentation using federated deep transformer learning
Computer Methods and Programs in Biomedicine, vol. 240, pp. 107706, 2023
A. W. Stark, A. A. Giannopoulos, A. Pugachev, I. Shiri, A. Haeberlin, L. Räber, D. Obrist, C. Gräni
Application of Patient-Specific Computational Fluid Dynamics in Anomalous Aortic Origin of Coronary Artery: A Systematic Review
JCDD, vol. 10, pp. 384, 2023
M. Mohebi, M. Amini, M. J. Alemzadeh-Ansari, A. Alizadehasl, A. B. Rajabi, I. Shiri, H. Zaidi, M. Orooji
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study
J Digit Imaging, vol. 36, pp. 1348-1363, 2023
I. Shiri, A. Vafaei Sadr, A. Akhavan, Y. Salimi, A. Sanaat, M. Amini, B. Razeghi, A. Saberi, H. Arabi, S. Ferdowsi, S. Voloshynovskiy, D. Gündüz, A. Rahmim, H. Zaidi
Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning
Eur J Nucl Med Mol Imaging, vol. 50, pp. 1034-1050, 2023

2022

N. Sirjani, S. Moradi, M. G. Oghli, A. Hosseinsabet, A. Alizadehasl, M. Yadollahi, I. Shiri, A. Shabanzadeh
Automatic cardiac evaluations using a deep video object segmentation network
Insights Imaging, vol. 13, pp. 69, 2022
M. Sabouri, G. Hajianfar, Z. Hosseini, M. Amini, M. Mohebi, T. Ghaedian, S. Madadi, F. Rastgou, M. Oveisi, A. Bitarafan Rajabi, I. Shiri, H. Zaidi
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition
J Digit Imaging, vol. 36, pp. 497-509, 2022
I. Shiri, A. Vafaei Sadr, M. Amini, Y. Salimi, A. Sanaat, A. Akhavanallaf, B. Razeghi, S. Ferdowsi, A. Saberi, H. Arabi, M. Becker, S. Voloshynovskiy, D. Gündüz, A. Rahmim, H. Zaidi
Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework
Clin Nucl Med, vol. 47, pp. 606-617, 2022
E. Avard, I. Shiri, G. Hajianfar, H. Abdollahi, K. R. Kalantari, G. Houshmand, K. Kasani, A. Bitarafan-rajabi, M. R. Deevband, M. Oveisi, H. Zaidi
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection
Computers in Biology and Medicine, vol. 141, pp. 105145, 2022

2021

M. Edalat-Javid, I. Shiri, G. Hajianfar, H. Abdollahi, H. Arabi, N. Oveisi, M. Javadian, M. Shamsaei Zafarghandi, H. Malek, A. Bitarafan-Rajabi, M. Oveisi, H. Zaidi
Cardiac SPECT radiomic features repeatability and reproducibility: A multi-scanner phantom study
Journal of Nuclear Cardiology, vol. 28, pp. 2730-2744, 2021

2019

S. Moradi, M. G. Oghli, A. Alizadehasl, I. Shiri, N. Oveisi, M. Oveisi, M. Maleki, J. Dhooge
MFP-Unet: A novel deep learning based approach for left ventricle segmentation in echocardiography
Physica Medica, vol. 67, pp. 58-69, 2019