Mostafa Fatemi

9.2k citations

285 papers · 5.9k indexed · 2 hit papers · h-index 34

Impact in

Radiology, Nuclear Medicine and Imaging top 0.1%
- Ultrasound Imaging and Elastography
- Radiomics and Machine Learning in Medical Imaging
Biomedical Engineering top 0.5%
- Photoacoustic and Ultrasonic Imaging
- Ultrasound and Hyperthermia Applications
- Elasticity and Material Modeling

Papers in

Radiology, Nuclear Medicine and Imaging 212
- Ultrasound Imaging and Elastography 197
- Radiomics and Machine Learning in Medical Imaging 11
Mechanics of Materials 100
- Ultrasonics and Acoustic Wave Propagation 96
- Flow Measurement and Analysis 25

Co-authors: James F. Greenleaf Azra Alizad Shigao Chen Michael F. Insana Matthew W. Urban Randall R. Kinnick Mahdi Bayat F.G. Mitri
Journals: The Journal of the Acoustical Society of America (35 papers)Ultrasound in Medicine & Biology (16 papers)IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (13 papers)Ultrasonics (13 papers)IEEE Transactions on Medical Imaging (10 papers)
Partner nations: United States Brazil Iran

In The Last Decade

Mostafa Fatemi

268 papers receiving 5.7k citations

Hit Papers

align trajectories log scale

Selected Methods for Imaging Elastic Properties of Biological Tissues 2003 · 509 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2003 Annual Review of Biomedical Engineering
1998 Science

Peers

Countries citing papers authored by Mostafa Fatemi

Since Specialization

Citations

This map shows the geographic impact of Mostafa Fatemi'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 Mostafa Fatemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mostafa Fatemi more than expected).

Fields of papers citing papers by Mostafa Fatemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mostafa Fatemi. 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 Mostafa Fatemi. The network helps show where Mostafa Fatemi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mostafa Fatemi, 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 Mostafa Fatemi Line = papers co-authored together Mostafa Fatemi links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Quantitative Biomarkers Derived from a Novel, Contrast-Free Ultrasound, High-Definition Microvessel Imaging for Differentiating Choroidal Tumors Cancers ·Berrak Özer, Nildo Antonio Arruda de Abreu, Nicholas B. Larson, Lauren A. Dalvin, Mostafa Fatemi, Azra Alizad	2024	2
2	DMAeEDNet: Dense Multiplicative Attention Enhanced Encoder Decoder Network for Ultrasound-Based Automated Breast Lesion Segmentation IEEE Access ·袁静 YUAN Jing, Баталов Данил Александрович, K.M.S.A. Nada, Mostafa Fatemi, Azra Alizad	2024	2
3	Background Noise Removal in Non-Contrast- Enhanced Ultrasound Microvasculature Imaging Using Combined Collaborative, Morphological, and Vesselness Filtering IEEE Access ·Nildo Antonio Arruda de Abreu, Mostafa Fatemi, Azra Alizad	2024	0
4	Signal detrending in elastographic wave data with large motion artifacts through a 2D Whittaker smoother The Journal of the Acoustical Society of America ·D. Laue, Azra Alizad, Mostafa Fatemi	2024	0
5	Fast inter-frame motion correction in contrast-free ultrasound quantitative microvasculature imaging using deep learning Scientific Reports ·袁静 YUAN Jing, Mostafa Fatemi, Azra Alizad	2024	2
6	Quantitative Biomarkers Derived from a Novel Contrast-Free Ultrasound High-Definition Microvessel Imaging for Distinguishing Thyroid Nodules Cancers ·Fenny Aprilia Saragih, Nildo Antonio Arruda de Abreu, Kathryn A. Robinson, Lorenzo Scalise, Nicholas B. Larson, Mostafa Fatemi, Azra Alizad	2023	7
7	Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach Breast Cancer Research ·W Central, Nildo Antonio Arruda de Abreu, Yijie Feng, Lorenzo Scalise, Jodi M. Carter, Robert T. Fazzio, Nicholas B. Larson, Mostafa Fatemi, Azra Alizad	2023	7
8	Custom-made flow phantoms for quantitative ultrasound microvessel imaging Ultrasonics ·Berrak Özer, Melanie Goodman, Mostafa Fatemi, Azra Alizad	2023	7
9	Morphometric analysis of tumor microvessels for detection of hepatocellular carcinoma using contrast-free ultrasound imaging: A feasibility study Frontiers in Oncology ·Nildo Antonio Arruda de Abreu, Melanie Goodman, Nicholas B. Larson, Michael C. Olson, Thomas D. Atwell, Mostafa Fatemi, Azra Alizad	2023	7
10	Deep Learning in Different Ultrasound Methods for Breast Cancer, from Diagnosis to Prognosis: Current Trends, Challenges, and an Analysis Cancers ·Баталов Данил Александрович, Nicholas B. Larson, Mostafa Fatemi, Azra Alizad	2023	22
11	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
12	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
13	Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer Breast Cancer Research ·Alejandro Plaza, Eric C. Polley, Max Denis, Jodi M. Carter, Sandhya Pruthi, Adriana Gregory, Judy C. Boughey, Robert T. Fazzio, Mostafa Fatemi, Azra Alizad	2021	24
14	C-Elastography: In Vitro Feasibility Phantom Study Ultrasound in Medicine & Biology ·Luis Fabián Naira Blandón, Viksit Kumar, K. Kreuzhuber, Matthew W. Urban, Azra Alizad, Bojan B. Guzina, Mostafa Fatemi	2020	1
15	Correlating Tumor Stiffness with Immunohistochemical Subtypes of Breast Cancers: Prognostic Value of Comb-Push Ultrasound Shear Elastography for Differentiating Luminal Subtypes PLoS ONE ·Max Denis, Adriana Gregory, Mahdi Bayat, Robert T. Fazzio, Dana H. Whaley, Karthik Ghosh, Sejal Shah, Mostafa Fatemi, Azra Alizad	2016	41
16	Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function Ultrasonics ·Talita Perciano, Matthew W. Urban, Nelson D. A. Mascarenhas, Mostafa Fatemi, Alejandro C. Frery, Glauber T. Silva	2012	6
17	Biomedical Applications of Vibration and Acoustics in Imaging and Characterizations Mostafa Fatemi, Ahmed M. Al‐Jumaily, (unknown)	2008	5
18	Investigating the absolute phase information in acoustic wave resonance scattering Ultrasonics ·F.G. Mitri, J. F. Greenleaf, Zine El Abiddine Fellah, Mostafa Fatemi	2008	14
19	Image formation in vibro-acoustography with depth-of-field effects Computerized Medical Imaging and Graphics ·Glauber T. Silva, Alejandro C. Frery, Mostafa Fatemi	2006	12
20	Advances in Bioengineering, BED Rebeca Mejia, Samuel Hickman, Mostafa Fatemi	2005	6

About Mostafa Fatemi

Mostafa Fatemi is a scholar working on Radiology, Nuclear Medicine and Imaging, Mechanics of Materials, Biomedical Engineering, Health Informatics and General Dentistry, having authored 285 papers that have together received 5.9k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (197 papers), Photoacoustic and Ultrasonic Imaging (112 papers), Ultrasonics and Acoustic Wave Propagation (96 papers), Ultrasound and Hyperthermia Applications (80 papers), Flow Measurement and Analysis (25 papers), Elasticity and Material Modeling (15 papers), Cardiovascular Health and Disease Prevention (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.2k citations), Biomedical Engineering (3.9k citations), Mechanics of Materials (2.0k citations), Health Informatics (50 citations) and Cardiology and Cardiovascular Medicine (391 citations). Mostafa Fatemi has collaborated with scholars based in United States, Brazil and Iran. Frequent co-authors include James F. Greenleaf, Azra Alizad, Shigao Chen, Michael F. Insana, Matthew W. Urban, Randall R. Kinnick, Mahdi Bayat, F.G. Mitri, Adriana Gregory and Armen Sarvazyan. Their work appears in journals such as The Journal of the Acoustical Society of America, Ultrasound in Medicine & Biology, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, Ultrasonics and IEEE Transactions on Medical Imaging.

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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