Idit Diamant

3.1k total citations · 1 hit paper
19 papers, 1.9k citations indexed

About

Idit Diamant is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Idit Diamant has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Idit Diamant's work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Image Retrieval and Classification Techniques (6 papers). Idit Diamant is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Image Retrieval and Classification Techniques (6 papers). Idit Diamant collaborates with scholars based in Israel and United States. Idit Diamant's co-authors include Hayit Greenspan, Eyal Klang, Jacob Goldberger, Michal Marianne Amitai, Maayan Frid-Adar, Lior Wolf, Yaniv Bar, Eli Konen, Sivan Lieberman and Amit Gefen and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Neurocomputing and Clinical Biomechanics.

In The Last Decade

Idit Diamant

19 papers receiving 1.8k 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.

GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification

2018 1.2k citations Maayan Frid-Adar, Idit Diamant et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Idit Diamant Israel	11	868	752	686	219	152	19	1.9k
Michal Marianne Amitai Israel	9	661 0.8×	644 0.9×	512 0.7×	214 1.0×	163 1.1×	15	1.8k
María A. Zuluaga France	19	988 1.1×	705 0.9×	818 1.2×	290 1.3×	151 1.0×	76	2.4k
Shadi Albarqouni Germany	17	1.0k 1.2×	706 0.9×	577 0.8×	161 0.7×	122 0.8×	49	1.6k
Cheng Chen China	22	949 1.1×	728 1.0×	662 1.0×	256 1.2×	106 0.7×	87	2.1k
Michaël Aertsen Belgium	16	604 0.7×	646 0.9×	732 1.1×	192 0.9×	203 1.3×	61	2.0k
Chenyu You United States	20	757 0.9×	828 1.1×	1.0k 1.5×	387 1.8×	123 0.8×	53	2.2k
Tanveer Syeda-Mahmood United States	24	688 0.8×	700 0.9×	946 1.4×	301 1.4×	190 1.3×	143	2.4k
Martin Urschler Austria	22	652 0.8×	789 1.0×	890 1.3×	476 2.2×	149 1.0×	87	2.4k
Mateusz Buda United States	10	1.3k 1.4×	816 1.1×	624 0.9×	187 0.9×	151 1.0×	13	2.7k
Yuchen Qiu United States	18	859 1.0×	1.1k 1.4×	331 0.5×	238 1.1×	271 1.8×	62	1.8k

Countries citing papers authored by Idit Diamant

Since Specialization

Citations

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

Fields of papers citing papers by Idit Diamant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Idit Diamant

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

All Works

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19 of 19 papers shown

Frid-Adar, Maayan, Idit Diamant, Eyal Klang, et al.. (2018). GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing. 321. 321–331. 1210 indexed citations breakdown →

Ben-Cohen, Avi, Eyal Klang, Idit Diamant, et al.. (2017). CT Image-based Decision Support System for Categorization of Liver Metastases Into Primary Cancer Sites. Academic Radiology. 24(12). 1501–1509. 29 indexed citations

Bar, Yaniv, Idit Diamant, Lior Wolf, et al.. (2016). Chest pathology identification using deep feature selection with non-medical training. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 6(3). 259–263. 43 indexed citations

Diamant, Idit, Eyal Klang, Michal Amitai, et al.. (2016). Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification. IEEE Transactions on Biomedical Engineering. 64(6). 1380–1392. 26 indexed citations

Diamant, Idit, et al.. (2016). Mutual information criterion for feature selection with application to classification of breast microcalcifications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9784. 97841S–97841S. 1 indexed citations

Bar, Yaniv, Idit Diamant, Lior Wolf, & Hayit Greenspan. (2015). Deep learning with non-medical training used for chest pathology identification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9414. 94140V–94140V. 198 indexed citations

Ben-Cohen, Avi, Eyal Klang, Idit Diamant, et al.. (2015). Automated method for detection and segmentation of liver metastatic lesions in follow-up CT examinations. Journal of Medical Imaging. 2(3). 34502–34502. 8 indexed citations

Diamant, Idit, Jacob Goldberger, Eyal Klang, Michal Amitai, & Hayit Greenspan. (2015). Multi-phase liver lesions classification using relevant visual words based on mutual information. 407–410. 13 indexed citations

Diamant, Idit, Assaf Hoogi, Christopher F. Beaulieu, et al.. (2015). Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions. IEEE Journal of Biomedical and Health Informatics. 20(6). 1585–1594. 27 indexed citations

10.

Bar, Yaniv, Idit Diamant, Lior Wolf, et al.. (2015). Chest pathology detection using deep learning with non-medical training. 294–297. 244 indexed citations

11.

Diamant, Idit, et al.. (2014). Lung texture classification using bag of visual words. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90352K–90352K. 10 indexed citations

12.

Diamant, Idit, et al.. (2014). Automatic detection and segmentation of liver metastatic lesions on serial CT examinations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 903519–903519. 6 indexed citations

13.

Diamant, Idit, et al.. (2014). Texture feature based liver lesion classification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9035. 90353K–90353K. 8 indexed citations

14.

Diamant, Idit, Jacob Goldberger, & Hayit Greenspan. (2013). Visual words based approach for tissue classification in mammograms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8670. 867021–867021. 4 indexed citations

15.

Diamant, Idit, Hayit Greenspan, & Jacob Goldberger. (2012). Breast tissue classification in mammograms using visual words. 1–4. 3 indexed citations

16.

Diamant, Idit, Yonina C. Eldar, Oleg Rokhlenko, Eytan Ruppin, & Tomer Shlomi. (2009). A network-based method for predicting gene–nutrient interactions and its application to yeast amino-acidmetabolism. Molecular BioSystems. 5(12). 1732–1739. 6 indexed citations

17.

Gefen, Amit, Sigal Portnoy, & Idit Diamant. (2007). Inhomogeneity of tissue-level strain distributions in individual trabeculae: Mathematical model studies of normal and osteoporosis cases. Medical Engineering & Physics. 30(5). 624–630. 5 indexed citations

18.

Diamant, Idit, Ron Shahar, Youssef Masharawi, & Amit Gefen. (2006). A method for patient-specific evaluation of vertebral cancellous bone strength: In vitro validation. Clinical Biomechanics. 22(3). 282–291. 25 indexed citations

19.

Diamant, Idit, Ron Shahar, & Amit Gefen. (2005). How to select the elastic modulus for cancellous bone in patient-specific continuum models of the spine. Medical & Biological Engineering & Computing. 43(4). 465–472. 17 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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