Works matching AU Moassefi, Mana

Results: 18

A Multi-View Deep Learning Model for Thyroid Nodules Detection and Characterization in Ultrasound Imaging.

Published in:

Bioengineering (Basel), 2024, v. 11, n. 7, p. 648, doi. 10.3390/bioengineering11070648

By:

Vahdati, Sanaz;
Khosravi, Bardia;
Robinson, Kathryn A.;
Rouzrokh, Pouria;
Moassefi, Mana;
Akkus, Zeynettin;
Erickson, Bradley J.

Publication type:

Article

Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach.

Published in:

American Journal of Neuroradiology, 2024, v. 45, n. 4, p. 439, doi. 10.3174/ajnr.A8173

By:

Faghani, Shahriar;
Moassefi, Mana;
Madhavan, Ajay A.;
Mark, Ian T.;
Verdoorn, Jared T.;
Erickson, Bradley J.;
Benson, John C.

Publication type:

Article

Abstract screening using the automated tool Rayyan: results of effectiveness in three diagnostic test accuracy systematic reviews.

Published in:

2022

By:

Valizadeh, Amir;
Moassefi, Mana;
Nakhostin-Ansari, Amin;
Hosseini Asl, Seyed Hossein;
Saghab Torbati, Mehrnush;
Aghajani, Reyhaneh;
Maleki Ghorbani, Zahra;
Faghani, Shahriar

Publication type:

journal article

Automated diagnosis of autism with artificial intelligence: State of the art.

Published in:

Reviews in the Neurosciences, 2024, v. 35, n. 2, p. 141, doi. 10.1515/revneuro-2023-0050

By:

Valizadeh, Amir;
Moassefi, Mana;
Nakhostin-Ansari, Amin;
Heidari Some'eh, Soheil;
Hosseini-Asl, Hossein;
Saghab Torbati, Mehrnush;
Aghajani, Reyhaneh;
Maleki Ghorbani, Zahra;
Menbari-Oskouie, Iman;
Aghajani, Faezeh;
Mirzamohamadi, Alireza;
Ghafouri, Mohammad;
Faghani, Shahriar;
Memari, Amir Hossein

Publication type:

Article

A deep learning model for discriminating true progression from pseudoprogression in glioblastoma patients.

Published in:

Journal of Neuro-Oncology, 2022, v. 159, n. 2, p. 447, doi. 10.1007/s11060-022-04080-x

By:

Moassefi, Mana;
Faghani, Shahriar;
Conte, Gian Marco;
Kowalchuk, Roman O.;
Vahdati, Sanaz;
Crompton, David J.;
Perez-Vega, Carlos;
Cabreja, Ricardo A. Domingo;
Vora, Sujay A.;
Quiñones-Hinojosa, Alfredo;
Parney, Ian F.;
Trifiletti, Daniel M.;
Erickson, Bradley J.

Publication type:

Article

Deep-learning for automated detection of MSU deposits on DECT: evaluating impact on efficiency and reader confidence.

Published in:

Frontiers in Radiology, 2024, p. 1, doi. 10.3389/fradi.2024.1330399

By:

Faghani, Shahriar;
Patel, Soham;
Rhodes, Nicholas G.;
Powell, Garret M.;
Baffour, Francis I.;
Moassefi, Mana;
Glazebrook, Katrina N.;
Erickson, Bradley J.;
Tiegs-Heiden, Christin A.

Publication type:

Article

Whole-body low-dose computed tomography in patients with newly diagnosed multiple myeloma predicts cytogenetic risk: a deep learning radiogenomics study.

Published in:

Skeletal Radiology, 2025, v. 54, n. 2, p. 267, doi. 10.1007/s00256-024-04733-0

By:

Faghani, Shahriar;
Moassefi, Mana;
Yadav, Udit;
Buadi, Francis K.;
Kumar, Shaji K.;
Erickson, Bradley J.;
Gonsalves, Wilson I.;
Baffour, Francis I.

Publication type:

Article

Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review.

Published in:

Diagnostics (2075-4418), 2022, v. 12, n. 10, p. 2512, doi. 10.3390/diagnostics12102512

By:

Khosravi, Bardia;
Rouzrokh, Pouria;
Faghani, Shahriar;
Moassefi, Mana;
Vahdati, Sanaz;
Mahmoudi, Elham;
Chalian, Hamid;
Erickson, Bradley J.

Publication type:

Article

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey.

Published in:

Journal of Digital Imaging, 2024, v. 37, n. 5, p. 2015, doi. 10.1007/s10278-024-01083-0

By:

Vahdati, Sanaz;
Khosravi, Bardia;
Mahmoudi, Elham;
Zhang, Kuan;
Rouzrokh, Pouria;
Faghani, Shahriar;
Moassefi, Mana;
Tahmasebi, Aylin;
Andriole, Katherine P.;
Chang, Peter;
Farahani, Keyvan;
Flores, Mona G.;
Folio, Les;
Houshmand, Sina;
Giger, Maryellen L.;
Gichoya, Judy W.;
Erickson, Bradley J.

Publication type:

Article

Checklist for Reproducibility of Deep Learning in Medical Imaging.

Published in:

Journal of Digital Imaging, 2024, v. 37, n. 4, p. 1664, doi. 10.1007/s10278-024-01065-2

By:

Moassefi, Mana;
Singh, Yashbir;
Conte, Gian Marco;
Khosravi, Bardia;
Rouzrokh, Pouria;
Vahdati, Sanaz;
Safdar, Nabile;
Moy, Linda;
Kitamura, Felipe;
Gentili, Amilcare;
Lakhani, Paras;
Kottler, Nina;
Halabi, Safwan S.;
Yacoub, Joseph H.;
Hou, Yuankai;
Younis, Khaled;
Erickson, Bradley J.;
Krupinski, Elizabeth;
Faghani, Shahriar

Publication type:

Article

Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.

Published in:

Journal of Digital Imaging, 2023, v. 36, n. 5, p. 2306, doi. 10.1007/s10278-023-00870-5

By:

Moassefi, Mana;
Rouzrokh, Pouria;
Conte, Gian Marco;
Vahdati, Sanaz;
Fu, Tianyuan;
Tahmasebi, Aylin;
Younis, Mira;
Farahani, Keyvan;
Gentili, Amilcare;
Kline, Timothy;
Kitamura, Felipe C.;
Huo, Yuankai;
Kuanar, Shiba;
Younis, Khaled;
Erickson, Bradley J.;
Faghani, Shahriar

Publication type:

Article

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI.

Published in:

Journal of Digital Imaging, 2023, v. 36, n. 3, p. 837, doi. 10.1007/s10278-022-00757-x

By:

Faghani, Shahriar;
Khosravi, Bardia;
Moassefi, Mana;
Conte, Gian Marco;
Erickson, Bradley J.

Publication type:

Article

Correlation between the clinical disability and T1 hypointense lesions' volume in cerebral magnetic resonance imaging of multiple sclerosis patients: A systematic review and meta‐analysis.

Published in:

CNS Neuroscience & Therapeutics, 2021, v. 27, n. 11, p. 1268, doi. 10.1111/cns.13734

By:

Valizadeh, Amir;
Moassefi, Mana;
Barati, Elham;
Ali Sahraian, Mohammad;
Aghajani, Faezeh;
Fattahi, Mohammad‐Reza

Publication type:

Article

Correction: Checklist for Reproducibility of Deep Learning in Medical Imaging.

Published in:

2025

By:

Moassefi, Mana;
Singh, Yashbir;
Conte, Gian Marco;
Khosravi, Bardia;
Rouzrokh, Pouria;
Vahdati, Sanaz;
Safdar, Nabile;
Moy, Linda;
Kitamura, Felipe;
Gentili, Amilcare;
Lakhani, Paras;
Kottler, Nina;
Halabi, Safwan S.;
Yacoub, Joseph H.;
Hou, Yuankai;
Younis, Khaled;
Erickson, Bradley J.;
Krupinski, Elizabeth;
Faghani, Shahriar

Publication type:

Correction Notice

Empowering Women in Imaging Informatics: Confronting Imposter Syndrome, Addressing Microaggressions, and Striving for Work-Life Harmony.

Published in:

Journal of Imaging Informatics in Medicine, 2025, v. 38, n. 3, p. 1291, doi. 10.1007/s10278-024-01285-6

By:

Moassefi, Mana;
Fennell, Nikki;
Yang, Mindy;
Gunter, Jennifer B.;
Schmit, Teri M. Sippel;
Cook, Tessa S.

Publication type:

Article

My Experience with Academy — Advancing Innovation in Imaging.

Published in:

Journal of Imaging Informatics in Medicine, 2025, v. 38, n. 1, p. 656, doi. 10.1007/s10278-024-01203-w

By:

Moassefi, Mana

Publication type:

Article

Validation of myasthenia gravis activity of daily living questionnaire: Persian version.

Published in:

Current Journal of Neurology, 2022, v. 21, n. 1, p. 35, doi. 10.18502/cjn.v21i1.9360

By:

Faghani, Shahriar;
Okhvat, Ali Asghar;
Karimi, Narges;
Moassefi, Mana;
Maroufi, Seyed Farzad;
Nafissi, Shahriar;
Fatehi, Farzad

Publication type:

Article

The mirror mechanism in schizophrenia: A systematic review and qualitative meta-analysis.

Published in:

Frontiers in Psychiatry, 2022, v. 13, p. 1, doi. 10.3389/fpsyt.2022.884828

By:

Valizadeh, Amir;
Mbwogge, Mathew;
Rasouli Yazdi, Anita;
Amlashi, Nazanin Hedayati;
Haadi, Ainaaz;
Shayestefar, Monir;
Moassefi, Mana

Publication type:

Article