Hayit Greenspan

17.6k total citations · 3 hit papers
182 papers, 8.3k citations indexed

About

Hayit Greenspan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Hayit Greenspan has authored 182 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Vision and Pattern Recognition, 69 papers in Radiology, Nuclear Medicine and Imaging and 64 papers in Artificial Intelligence. Recurrent topics in Hayit Greenspan's work include Image Retrieval and Classification Techniques (57 papers), AI in cancer detection (50 papers) and Medical Image Segmentation Techniques (34 papers). Hayit Greenspan is often cited by papers focused on Image Retrieval and Classification Techniques (57 papers), AI in cancer detection (50 papers) and Medical Image Segmentation Techniques (34 papers). Hayit Greenspan collaborates with scholars based in Israel, United States and Switzerland. Hayit Greenspan's co-authors include Jacob Goldberger, Serge Belongie, Chad Carson, Jitendra Malik, Idit Diamant, Eyal Klang, Michal Marianne Amitai, Maayan Frid-Adar, Eli Konen and Lior Wolf and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

In The Last Decade

Hayit Greenspan

173 papers receiving 7.8k citations

Hit Papers

align trajectories sort by overperformance

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 Jacob Goldberger, Hayit Greenspan et al. profile →
Blobworld: image segmentation using expectation-maximization and its application to image querying

2002 934 citations Hayit Greenspan et al. profile →
Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide

2019 372 citations Hayit Greenspan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hayit Greenspan Israel	40	4.6k	2.5k	2.3k	988	713	182	8.3k
Michael Cogswell United States	6	4.9k 1.1×	5.4k 2.2×	2.5k 1.1×	660 0.7×	908 1.3×	11	12.6k
Ramprasaath R. Selvaraju United States	5	4.9k 1.1×	5.4k 2.2×	2.5k 1.1×	661 0.7×	909 1.3×	8	12.5k
Isabelle Bloch France	39	3.0k 0.6×	1.5k 0.6×	1.6k 0.7×	699 0.7×	739 1.0×	319	7.0k
Shaoting Zhang United States	39	3.9k 0.8×	2.2k 0.9×	2.1k 0.9×	477 0.5×	958 1.3×	249	6.8k
Weidong Cai Australia	38	3.0k 0.6×	2.4k 1.0×	2.1k 0.9×	498 0.5×	522 0.7×	303	7.0k
Gustavo Carneiro Australia	40	3.3k 0.7×	2.9k 1.1×	1.9k 0.8×	433 0.4×	658 0.9×	179	6.6k
Ramakrishna Vedantam United States	7	7.3k 1.6×	6.8k 2.7×	2.5k 1.1×	683 0.7×	920 1.3×	10	15.2k
Yen‐Wei Chen Japan	34	3.4k 0.7×	1.6k 0.7×	1.7k 0.7×	680 0.7×	921 1.3×	615	7.5k
Zongwei Zhou United States	21	4.3k 0.9×	3.7k 1.5×	3.5k 1.5×	982 1.0×	1.2k 1.7×	45	9.9k
Mads Nielsen Denmark	32	4.2k 0.9×	2.2k 0.9×	1.5k 0.6×	575 0.6×	822 1.2×	186	8.2k

Countries citing papers authored by Hayit Greenspan

Since Specialization

Citations

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

Fields of papers citing papers by Hayit Greenspan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hayit Greenspan

This figure shows the co-authorship network connecting the top 25 collaborators of Hayit Greenspan. A scholar is included among the top collaborators of Hayit Greenspan 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 Hayit Greenspan. Hayit Greenspan 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

Yadav, Vivek, et al.. (2025). Automated hepatocellular carcinoma detection and segmentation in abbreviated MRI using vision transformers. 66–66.

Giryes, Raja, et al.. (2025). ProtoSAM for automated one shot medical image segmentation using foundational models. Scientific Reports. 15(1). 41482–41482.

Rosa, Francesco La, Sarah Levy, Gaurav Verma, et al.. (2025). BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis. Imaging Neuroscience. 3. 3 indexed citations

Liu, Zelong, et al.. (2024). A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation. NMR in Biomedicine. 37(8). e5143–e5143. 18 indexed citations

Giryes, Raja, et al.. (2024). DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. 1–5. 4 indexed citations

Inbar, Omri, et al.. (2023). A Machine Learning Approach to Classify Exercise Limitation Severity Using Cardiopulmonary Exercise Testing - Development and Validation. Medical Research Archives. 11(11). 1 indexed citations

Fur, Yann Le, Shahram Attarian, Tamar Blumenfeld‐Katzir, et al.. (2023). Estimation of subvoxel fat infiltration in neurodegenerative muscle disorders using quantitative multi‐T₂ analysis. NMR in Biomedicine. 36(9). e4947–e4947. 5 indexed citations

Liu, Zelong, Xueyan Mei, James Grant, et al.. (2023). Discovery Viewer (DV): Web-Based Medical AI Model Development Platform and Deployment Hub. Bioengineering. 10(12). 1396–1396. 1 indexed citations

Vaid, Akhil, Joy Jiang, Stamatios Lerakis, et al.. (2023). A foundational vision transformer improves diagnostic performance for electrocardiograms. npj Digital Medicine. 6(1). 108–108. 58 indexed citations

10.

Duong, Son Q., Akhil Vaid, Ha My T. Vy, et al.. (2023). Quantitative Prediction of Right Ventricular Size and Function From the ECG. Journal of the American Heart Association. 13(1). e031671–e031671. 8 indexed citations

11.

Mei, Xueyan, Zelong Liu, Philip M. Robson, et al.. (2022). RadImageNet: An Open Radiologic Deep Learning Research Dataset for Effective Transfer Learning. Radiology Artificial Intelligence. 4(5). e210315–e210315. 149 indexed citations

12.

Goldberger, Jacob, et al.. (2019). Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation. 1563–1566. 23 indexed citations

13.

Brown, Matthew S., Patrick D. Browning, Hayit Greenspan, et al.. (2018). Integration of Chest CT CAD into the Clinical Workflow and Impact on Radiologist Efficiency. Academic Radiology. 26(5). 626–631. 22 indexed citations

14.

Greenspan, Hayit, et al.. (2018). Training a neural network based on unreliable human annotation of medical images. 39–42. 44 indexed citations

15.

Goldberger, Jacob, et al.. (2009). Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation. CLEF (Working Notes). 8 indexed citations

16.

Goldberger, Jacob, et al.. (2008). TAU MIPLAB at ImageClef 2008. CLEF (Working Notes). 2 indexed citations

17.

Gordon, S., et al.. (2004). Image segmentation of uterine cervix images for indexing in PACS. 298–303. 35 indexed citations

18.

Goldberger, Jacob, Shiri Gordon, & Hayit Greenspan. (2003). An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. 487–493. 94 indexed citations

19.

Greenspan, Hayit, et al.. (1995). Combining image-processing and image compression schemes. Telecommunications and Data Acquisition Progress Report. 120. 54–77.

20.

Greenspan, Hayit & R.M. Goodman. (1992). Remote Sensing Image Analysis via a Texture Classification Neural Network. CaltechAUTHORS (California Institute of Technology). 5. 425–432. 7 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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