Assaf Hoogi

2.9k total citations · 2 hit papers
24 papers, 1.8k citations indexed

About

Assaf Hoogi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Assaf Hoogi has authored 24 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Assaf Hoogi's work include AI in cancer detection (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Assaf Hoogi is often cited by papers focused on AI in cancer detection (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Assaf Hoogi collaborates with scholars based in United States, Israel and Netherlands. Assaf Hoogi's co-authors include Daniel L. Rubin, Zeynettin Akkus, Alfiia Galimzianova, Bradley J. Erickson, Francisco Javier Giménez Fuentes‐Guerra, Kanae K. Miyake, Adrien Depeursinge, Dan Adam, Diana Gaitini and Hedviga Kerner and has published in prestigious journals such as NeuroImage, Scientific Reports and IEEE Transactions on Medical Imaging.

In The Last Decade

Assaf Hoogi

23 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.

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

2017 722 citations Zeynettin Akkus, Alfiia Galimzianova et al. Journal of Digital Imaging profile →
A curated mammography data set for use in computer-aided detection and diagnosis research

2017 493 citations Francisco Javier Giménez Fuentes‐Guerra, Assaf Hoogi et al. Scientific Data profile →

Peers

Countries citing papers authored by Assaf Hoogi

Since Specialization

Citations

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

Fields of papers citing papers by Assaf Hoogi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Assaf Hoogi

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

All Works

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

20 of 20 papers shown

#	Work	Indexed citations
1	Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity 2022 ·NeuroImage ·(unknown), (unknown), (unknown), Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani	35
2	Spatial Characterization of Tumor Perfusion Properties from 3D DCE-US Perfusion Maps are Early Predictors of Cancer Treatment Response 2020 ·Scientific Reports ·Ahmed El Kaffas, Assaf Hoogi, Jianhua Zhou, (unknown), Huaijun Wang, Jarrett Rosenberg, (unknown), Hersh Sagreiya, Alireza Akhbardeh, Daniel L. Rubin, Aya Kamaya, Dimitre Hristov, Jürgen K. Willmann	7
3	From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI 2019 ·IRIS Research product catalog (Sapienza University of Rome) ·(unknown), (unknown), Assaf Hoogi, Francesca Strappini, Tal Golan, Michal Irani	6
4	DALS: Deep Active Lesion Segmentation 2019 ·arXiv (Cornell University) ·Ali Hatamizadeh, Assaf Hoogi, (unknown), (unknown), (unknown), Daniel L. Rubin, Demetri Terzopoulos	0
5	Self-Attention Capsule Networks for Image Classification. 2019 ·arXiv (Cornell University) ·Assaf Hoogi, (unknown), (unknown), Daniel L. Rubin	6
6	Automated Quantitative Imaging Measurements of Disease Severity in Patients with Nonthrombotic Iliac Vein Compression 2019 ·Journal of Vascular and Interventional Radiology ·(unknown), Tarub S. Mabud, (unknown), Assaf Hoogi, (unknown), (unknown), Daniel L. Rubin, Lawrence V. Hofmann	1
7	Automated dendritic spine detection using convolutional neural networks on maximum intensity projected microscopic volumes 2018 ·Journal of Neuroscience Methods ·Xue‐Rong Xiao, Maja Djurišić, Assaf Hoogi, (unknown), Carla J. Shatz, Daniel L. Rubin	9
8	Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions 2017 ·PubMed Central ·Assaf Hoogi, Christopher F. Beaulieu, Guilherme Moura Cunha, Elhamy Heba, Claude B. Sirlin, Sandy Napel, Daniel L. Rubin	61
9	A curated mammography data set for use in computer-aided detection and diagnosis research breakdown → 2017 ·Scientific Data ·(unknown), Francisco Javier Giménez Fuentes‐Guerra, Assaf Hoogi, Kanae K. Miyake, (unknown), Daniel L. Rubin	493
10	Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions breakdown → 2017 ·Journal of Digital Imaging ·Zeynettin Akkus, Alfiia Galimzianova, Assaf Hoogi, Daniel L. Rubin, Bradley J. Erickson	722
11	Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis 2016 ·IEEE Transactions on Medical Imaging ·Assaf Hoogi, (unknown), (unknown), Daniel L. Rubin	46
12	Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles 2015 ·Medical Image Analysis ·(unknown), Assaf Hoogi, Adrien Depeursinge, Daniel L. Rubin	147
13	Quantitative Contrast-Enhanced Ultrasound of Intraplaque Neovascularization in Patients with Carotid Atherosclerosis 2014 ·Ultraschall in der Medizin - European Journal of Ultrasound ·Stijn C.H. van den Oord, Zeynettin Akkus, Johan G. Bosch, Assaf Hoogi, Gerrit L. ten Kate, Guillaume Renaud, Eric J.G. Sijbrands, Hence J.M. Verhagen, Aad van der Lugt, Dan Adam, Nico de Jong, (unknown), Alfred H. Schinkel	24
14	New Quantification Methods for Carotid Intra-plaque Neovascularization Using Contrast-Enhanced Ultrasound 2013 ·Ultrasound in Medicine & Biology ·Zeynettin Akkus, Assaf Hoogi, Guillaume Renaud, Stijn C.H. van den Oord, Gerrit L. ten Kate, Arend F. L. Schinkel, Dan Adam, Nico de Jong, Antonius F.W. van der Steen, Johan G. Bosch	37
15	Evaluation of a 3D technique for quantifying neovascularization within plaques imaged by contrast enhanced ultrasound 2013 ·PubMed ·Assaf Hoogi, (unknown), Dan Adam	5
16	Quantification of targeted microbubbles in contrast enhanced ultrasound 2013 ·Verya Daeichin, Zeynettin Akkus, Assaf Hoogi, Johan G. Bosch, A. Needles, Klazina Kooiman, Ilya Skachkov, Judith C. Sluimer, Ben Janssen, Mat J.A.P. Daemen, Antonius F.W. van der Steen, Nico de Jong	1
17	Quantitative Analysis of Ultrasound Contrast Flow Behavior in Carotid Plaque Neovasculature 2012 ·Ultrasound in Medicine & Biology ·Assaf Hoogi, Zeynettin Akkus, Stijn C.H. van den Oord, Gerrit L. ten Kate, Arend F. L. Schinkel, Johan G. Bosch, Nico de Jong, Dan Adam, Antonius F.W. van der Steen	23
18	Motion compensation method using dynamic programming for quantification of neovascularization in carotid atherosclerotic plaques with contrast enhanced ultrasound (CEUS) 2012 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Zeynettin Akkus, Assaf Hoogi, Guillaume Renaud, Gerrit L. ten Kate, Stijn C.H. van den Oord, Arend F. L. Schinkel, Nico de Jong, Antonius F.W. van der Steen, Johan G. Bosch	15
19	Motion compensation method for quantification of neovascularization in carotid atherosclerotic plaques with contrast enhanced ultrasound (CEUS) 2011 ·EUR Research Repository (Erasmus University Rotterdam) ·Zeynettin Akkus, Johan G. Bosch, Guillaume Renaud, Assaf Hoogi, Gerrit L. ten Kate, Stijn C.H. van den Oord, Arend F. L. Schinkel, Nico de Jong, Antonius F.W. van der Steen	2
20	Subharmonic Response of Encapsulated Microbubbles: Conditions for Existence and Amplification 2007 ·Ultrasound in Medicine & Biology ·Eitan Kimmel, Boris Krasovitski, Assaf Hoogi, Daniel Razansky, Dan Adam	30

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.

Explore authors with similar magnitude of impact