Behdad Dashtbozorg

2.0k total citations · 1 hit paper
69 papers, 1.3k citations indexed

About

Behdad Dashtbozorg is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Biomedical Engineering. According to data from OpenAlex, Behdad Dashtbozorg has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Ophthalmology and 22 papers in Biomedical Engineering. Recurrent topics in Behdad Dashtbozorg's work include Retinal Imaging and Analysis (23 papers), Optical Imaging and Spectroscopy Techniques (18 papers) and Glaucoma and retinal disorders (16 papers). Behdad Dashtbozorg is often cited by papers focused on Retinal Imaging and Analysis (23 papers), Optical Imaging and Spectroscopy Techniques (18 papers) and Glaucoma and retinal disorders (16 papers). Behdad Dashtbozorg collaborates with scholars based in Netherlands, China and Portugal. Behdad Dashtbozorg's co-authors include Bart M. ter Haar Romeny, Jiong Zhang, Erik J. Bekkers, Aurélio Campilho, Ana Maria Mendonc̨a, Josien P. W. Pluim, Remco Duits, Fan Huang, Theo J. M. Ruers and Henricus J. C. M. Sterenborg and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Image Processing and Diabetologia.

In The Last Decade

Behdad Dashtbozorg

63 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores

2016 287 citations Jiong Zhang, Behdad Dashtbozorg et al. profile →

Peers

Behdad Dashtbozorg

RNMI

OPHTH

CVPR

BIOPH

Rahele Kafieh Iran

Sri Phani Krishna Karri India

Bryan M. Williams United Kingdom

Qiaoliang Li China

Toufique Ahmed Soomro Pakistan

Debdoot Sheet India

Amin Katouzian Germany

Ali Mahloojifar Iran

João Dallyson Sousa de Almeida Brazil

Ahmed S. Fahmy Egypt

Rahele Kafieh Iran

Behdad Dashtbozorg

1.0k ×0.9

RNMI

586 ×0.8

OPHTH

306 ×0.6

CVPR

555 ×3.8

51 ×0.5

BIOPH

Citations per year, relative to Behdad Dashtbozorg Behdad Dashtbozorg (= 1×) peers Rahele Kafieh

Countries citing papers authored by Behdad Dashtbozorg

Since Specialization

Citations

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

Fields of papers citing papers by Behdad Dashtbozorg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behdad Dashtbozorg

This figure shows the co-authorship network connecting the top 25 collaborators of Behdad Dashtbozorg. A scholar is included among the top collaborators of Behdad Dashtbozorg 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 Behdad Dashtbozorg. Behdad Dashtbozorg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Quintana, Laura, Behdad Dashtbozorg, Samuel Ortega, et al.. (2025). Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations. Biomedical Optics Express. 16(11). 4644–4644.

Sanders, Joyce, Marie-Jeanne T. F. D. Vrancken Peeters, Frederieke van Duijnhoven, et al.. (2025). Toward real-time margin assessment in breast-conserving surgery with hyperspectral imaging. Scientific Reports. 15(1). 9556–9556. 3 indexed citations

Boer, Lisanne L. de, et al.. (2024). Feasibility of Diffuse Reflection Spectroscopy for Intraoperative Margin Assessment During Prostatectomy. European Urology Open Science. 67. 62–68. 1 indexed citations

Dashtbozorg, Behdad, et al.. (2024). Point Projection Mapping System for Tracking, Registering, Labeling, and Validating Optical Tissue Measurements. Journal of Imaging. 10(2). 37–37. 3 indexed citations

Dashtbozorg, Behdad, et al.. (2024). Deep Learning for Point-of-Care Ultrasound Image Quality Enhancement: A Review. Applied Sciences. 14(16). 7132–7132. 1 indexed citations

Boer, Lisanne L. de, et al.. (2024). Framework for Deep Learning Based Multi-Modality Image Registration of Snapshot and Pathology Images. IEEE Journal of Biomedical and Health Informatics. 28(11). 6699–6711. 1 indexed citations

Dashtbozorg, Behdad, et al.. (2024). Trackerless 3D Freehand Ultrasound Reconstruction: A Review. Applied Sciences. 14(17). 7991–7991. 2 indexed citations

Dashtbozorg, Behdad, et al.. (2024). Explainable Artificial Intelligence (XAI) for Oncological Ultrasound Image Analysis: A Systematic Review. Applied Sciences. 14(18). 8108–8108. 4 indexed citations

Sterenborg, Henricus J. C. M., et al.. (2024). Spatial and Spectral Reconstruction of Breast Lumpectomy Hyperspectral Images. Sensors. 24(5). 1567–1567. 3 indexed citations

10.

Sterenborg, Henricus J. C. M., et al.. (2023). Tissue Classification of Breast Cancer by Hyperspectral Unmixing. Cancers. 15(10). 2679–2679. 7 indexed citations

11.

Dashtbozorg, Behdad, et al.. (2023). A micromechanics‐based recurrent neural networks model for path‐dependent cyclic deformation of short fiber composites. International Journal for Numerical Methods in Engineering. 124(10). 2292–2314. 20 indexed citations

12.

Dashtbozorg, Behdad, et al.. (2023). A multiphysics-based artificial neural networks model for atherosclerosis. Heliyon. 9(7). e17902–e17902. 1 indexed citations

13.

Boer, Lisanne L. de, et al.. (2023). Toward Intraoperative Margin Assessment Using a Deep Learning-Based Approach for Automatic Tumor Segmentation in Breast Lumpectomy Ultrasound Images. Cancers. 15(6). 1652–1652. 11 indexed citations

14.

Dashtbozorg, Behdad, Marie-Jeanne T. F. D. Vrancken Peeters, Frederieke van Duijnhoven, et al.. (2023). Diffuse reflectance spectroscopy for accurate margin assessment in breast-conserving surgeries: importance of an optimal number of fibers. Biomedical Optics Express. 14(8). 4017–4017. 7 indexed citations

15.

Ruers, Theo J. M., et al.. (2023). Tumor Segmentation in Colorectal Ultrasound Images Using an Ensemble Transfer Learning Model: Towards Intra-Operative Margin Assessment. Diagnostics. 13(23). 3595–3595. 5 indexed citations

16.

Dashtbozorg, Behdad, et al.. (2023). Toward automatic surgical margin assessment using ultrasound imaging during breast cancer surgery. European Journal of Surgical Oncology. 49(2). e108–e109. 2 indexed citations

17.

Dashtbozorg, Behdad, et al.. (2019). Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information. Biomedical Optics Express. 10(9). 4496–4496. 56 indexed citations

18.

Li, Zhang, Fan Huang, Jiong Zhang, et al.. (2018). Multi-modal and multi-vendor retina image registration. Biomedical Optics Express. 9(2). 410–410. 32 indexed citations

19.

Huang, Fan, Behdad Dashtbozorg, Jiong Zhang, et al.. (2016). Reliability of Using Retinal Vascular Fractal Dimension as a Biomarker in the Diabetic Retinopathy Detection. Journal of Ophthalmology. 2016. 1–13. 52 indexed citations

20.

Abutalebi, Hamid Reza & Behdad Dashtbozorg. (2008). MUSICAL NOISE REDUCTION BY PROCESSING SPECTROGRAM OF SPECTRAL SUBTRACTION OUTPUT. 한국소음진동공학회 국제학술발표논문집. 2979–2986. 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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