Emad Fatemizadeh

1.7k total citations
120 papers, 1.1k citations indexed

About

Emad Fatemizadeh is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Emad Fatemizadeh has authored 120 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 33 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Artificial Intelligence. Recurrent topics in Emad Fatemizadeh's work include Medical Image Segmentation Techniques (31 papers), Image Retrieval and Classification Techniques (22 papers) and Functional Brain Connectivity Studies (17 papers). Emad Fatemizadeh is often cited by papers focused on Medical Image Segmentation Techniques (31 papers), Image Retrieval and Classification Techniques (22 papers) and Functional Brain Connectivity Studies (17 papers). Emad Fatemizadeh collaborates with scholars based in Iran, United States and Canada. Emad Fatemizadeh's co-authors include Mohammad H. Mahoor, Aboozar Ghaffari, Jamshid Shanbehzadeh, Amin Sedaghat, Steven Daveluy, Hossein Arabi, Habib Zaidi, Darius Mehregan, Alireza Karimian and Ali Motie Nasrabadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Cancer Research.

In The Last Decade

Emad Fatemizadeh

116 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emad Fatemizadeh Iran 18 498 308 261 164 124 120 1.1k
Le An United States 24 945 1.9× 421 1.4× 309 1.2× 366 2.2× 190 1.5× 78 1.8k
Isaac N. Bankman United States 14 421 0.8× 215 0.7× 192 0.7× 245 1.5× 311 2.5× 44 1.5k
Guha Balakrishnan United States 10 462 0.9× 302 1.0× 483 1.9× 195 1.2× 131 1.1× 32 1.1k
O. Cuisenaire Switzerland 17 631 1.3× 397 1.3× 134 0.5× 94 0.6× 349 2.8× 39 1.6k
Dirk Smeets Belgium 22 609 1.2× 364 1.2× 109 0.4× 106 0.6× 156 1.3× 69 1.5k
Rafeef Abugharbieh Canada 24 654 1.3× 490 1.6× 350 1.3× 167 1.0× 210 1.7× 110 1.7k
Ruogu Fang United States 18 590 1.2× 662 2.1× 181 0.7× 273 1.7× 74 0.6× 71 1.6k
Ahmed Ashraf Canada 19 396 0.8× 372 1.2× 149 0.6× 225 1.4× 116 0.9× 63 1.4k
Paola Campadelli Italy 19 707 1.4× 237 0.8× 201 0.8× 308 1.9× 179 1.4× 65 1.4k
Svitlana Zinger Netherlands 20 472 0.9× 293 1.0× 175 0.7× 201 1.2× 243 2.0× 107 1.4k

Countries citing papers authored by Emad Fatemizadeh

Since Specialization
Citations

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

Fields of papers citing papers by Emad Fatemizadeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emad Fatemizadeh

This figure shows the co-authorship network connecting the top 25 collaborators of Emad Fatemizadeh. A scholar is included among the top collaborators of Emad Fatemizadeh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emad Fatemizadeh. Emad Fatemizadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Pazandeh, Ali Mohammad & Emad Fatemizadeh. (2025). Enhancing Vision Transformers for Facial Expression Recognition. IEEE Access. 13. 144689–144698.
2.
Puladi, Behrus, et al.. (2025). Comparative Analysis of nnUNet and MedNeXt for Head and Neck Tumor Segmentation in MRI-Guided Radiotherapy. Lecture notes in computer science. 15273. 136–153.
3.
Hejazi, Marjaneh, et al.. (2025). Diagnostic Accuracy of Deep Learning Models in Predicting Glioma Molecular Markers: A Systematic Review and Meta-Analysis. Diagnostics. 15(7). 797–797. 2 indexed citations
4.
Shamsollahi, Mohammad Bagher, et al.. (2021). Automatic detection of respiratory events during sleep from Polysomnography data using Layered Hidden Markov Model. Physiological Measurement. 43(1). 15002–15002. 1 indexed citations
5.
Fatemizadeh, Emad, et al.. (2021). X-Net: A Novel Deep Learning Architecture with High-resolution Feature Maps for Image Segmentation. 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). 1–3. 2 indexed citations
6.
Fatemizadeh, Emad, et al.. (2020). Investigating time-varying functional connectivity derived from the Jackknife Correlation method for distinguishing between emotions in fMRI data. Cognitive Neurodynamics. 14(4). 457–471. 10 indexed citations
7.
Fatemizadeh, Emad, Tatiana Cristina Moraes Pinto Blumetti, Steven Daveluy, et al.. (2019). Optical Radiomic Signatures Derived from Optical Coherence Tomography Images Improve Identification of Melanoma. Cancer Research. 79(8). 2021–2030. 95 indexed citations
8.
Fatemizadeh, Emad, et al.. (2015). Cardiac Contraction Motion Correction in Gated Myocardial Perfusion SPECT Projection Domain. SHILAP Revista de lepidopterología. 3 indexed citations
9.
10.
Fatemizadeh, Emad, et al.. (2014). MRI and PET Image Fusion by Using Curvelet Transform. 5(418). 23–30. 2 indexed citations
11.
Akhlaghpoor, Shahram, et al.. (2012). Optimization of Liver Iron Load Assessment by Pixel-Based T2* MRI in Thalassemic Patients. Open Journal of Radiology. 2(2). 46–51. 2 indexed citations
12.
Fatemizadeh, Emad, et al.. (2012). A New Watermarking Algorithm Based on Human Visual System for Content Integrity Verification of Region of Interest. Computing and Informatics / Computers and Artificial Intelligence. 31(4). 877–899. 3 indexed citations
13.
Fatemizadeh, Emad, et al.. (2012). Automatic segmentation of brain MRI in high-dimensional local and non-local feature space based on sparse representation. Magnetic Resonance Imaging. 31(5). 733–741. 6 indexed citations
14.
Fatemizadeh, Emad, et al.. (2010). Diagnostic Efficacy of All Series of Dynamic Contrast Enhanced Breast MR Images Using Gradient Vector Flow (GVF) Segmentation and Novel Border Feature Extraction for Differentiation Between Malignant and Benign Breast Lesions. Iranian Journal of Radiology. 7(4). 225–234. 5 indexed citations
15.
Fatemizadeh, Emad, et al.. (2010). USING GENETIC ALGORITHM FOR OPTIMIZATION OF MAMMOGRAMS IMAGE COMPRESSION. Majlesi Journal of Electrical Engineering. 4(314). 7–18. 1 indexed citations
16.
Fatemizadeh, Emad, et al.. (2008). Multi-view face detection and recognition under varying illumination conditions by designing an illumination effect cancelling filter. 27–32. 1 indexed citations
17.
Yousefirizi, Fereshteh, Alireza Ahmadian, Emad Fatemizadeh, & Javad Alirezaie. (2008). An optimization based approach embedded in a fuzzy connectivity algorithm for airway tree segmentation. PubMed. 2008. 4011–4014. 1 indexed citations
18.
Mohammadiha, Nasser, Bijan Vosoughi Vahdat, & Emad Fatemizadeh. (2007). A Machine Vision Measurement of Still Billet Camber During Molding Process. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
19.
Fatemizadeh, Emad, et al.. (2006). Discrimination between alzheimer's disease and control group in MR-images based on texture analysis using artificial neural network. 79–83. 16 indexed citations
20.
Fatemizadeh, Emad, et al.. (2006). Breast Cancer Diagnosis and Classification in MR-images using Multi-stage classifier. 84–87. 4 indexed citations

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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