Amin Katouzian

2.1k total citations · 1 hit paper
45 papers, 1.1k citations indexed

About

Amin Katouzian is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Amin Katouzian has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Computer Vision and Pattern Recognition and 16 papers in Biomedical Engineering. Recurrent topics in Amin Katouzian's work include Medical Image Segmentation Techniques (13 papers), Ultrasound Imaging and Elastography (13 papers) and Coronary Interventions and Diagnostics (13 papers). Amin Katouzian is often cited by papers focused on Medical Image Segmentation Techniques (13 papers), Ultrasound Imaging and Elastography (13 papers) and Coronary Interventions and Diagnostics (13 papers). Amin Katouzian collaborates with scholars based in Germany, United States and India. Amin Katouzian's co-authors include Nassir Navab, Sailesh Conjeti, Debdoot Sheet, Abhijit Guha Roy, Sri Phani Krishna Karri, Christian Wachinger, Andrew F. Laine, Stéphane Carlier, Elisa E. Konofagou and Elsa D. Angelini and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Pattern Recognition and Medical Image Analysis.

In The Last Decade

Amin Katouzian

44 papers receiving 1.0k 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.

ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks

2017 445 citations Abhijit Guha Roy, Sailesh Conjeti et al. Biomedical Optics Express profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amin Katouzian Germany	14	710	425	358	286	210	45	1.1k
Debdoot Sheet India	16	751 1.1×	371 0.9×	650 1.8×	343 1.2×	104 0.5×	80	1.4k
Jixiang Guo China	17	534 0.8×	164 0.4×	258 0.7×	108 0.4×	53 0.3×	72	999
David Lesage France	12	561 0.8×	206 0.5×	530 1.5×	40 0.1×	114 0.5×	15	1.1k
Ali Gooya United Kingdom	17	540 0.8×	228 0.5×	462 1.3×	25 0.1×	62 0.3×	50	1.1k
Behdad Dashtbozorg Netherlands	17	1.1k 1.5×	147 0.3×	479 1.3×	735 2.6×	24 0.1×	69	1.3k
Kamil Říha Czechia	14	237 0.3×	103 0.2×	328 0.9×	115 0.4×	27 0.1×	66	665
Ivan Cruz‐Aceves Mexico	15	303 0.4×	98 0.2×	314 0.9×	75 0.3×	93 0.4×	52	656
Žiga Špiclin Slovenia	14	259 0.4×	134 0.3×	298 0.8×	62 0.2×	30 0.1×	53	714
Julien Jomier United States	13	308 0.4×	175 0.4×	259 0.7×	43 0.2×	92 0.4×	32	746
Luc Duong Canada	16	291 0.4×	338 0.8×	213 0.6×	19 0.1×	387 1.8×	55	848

Countries citing papers authored by Amin Katouzian

Since Specialization

Citations

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

Fields of papers citing papers by Amin Katouzian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amin Katouzian

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

Riva, Marco, Christoph Hennersperger, Fausto Milletarì, et al.. (2017). 3D intra-operative ultrasound and MR image guidance: pursuing an ultrasound-based management of brainshift to enhance neuronavigation. International Journal of Computer Assisted Radiology and Surgery. 12(10). 1711–1725. 28 indexed citations

Roy, Abhijit Guha, Sailesh Conjeti, Sri Phani Krishna Karri, et al.. (2017). ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks. Biomedical Optics Express. 8(8). 3627–3627. 445 indexed citations breakdown →

Kazi, Anees, Sailesh Conjeti, Amin Katouzian, & Nassir Navab. (2017). Coupled Manifold Learning for Retrieval Across Modalities. 290. 1321–1328. 1 indexed citations

Pölsterl, Sebastian, Sailesh Conjeti, Nassir Navab, & Amin Katouzian. (2016). Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection. Artificial Intelligence in Medicine. 72. 1–11. 37 indexed citations

Conjeti, Sailesh, Amin Katouzian, Abhijit Guha Roy, et al.. (2016). Supervised domain adaptation of decision forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization. Medical Image Analysis. 32. 1–17. 12 indexed citations

Roy, Abhijit Guha, Sailesh Conjeti, Stéphane Carlier, et al.. (2016). Multiscale distribution preserving autoencoders for plaque detection in intravascular optical coherence tomography. 1359–1362. 8 indexed citations

Conjeti, Sailesh, Amin Katouzian, Anees Kazi, et al.. (2016). Metric hashing forests. Medical Image Analysis. 34. 13–29. 12 indexed citations

Conjeti, Sailesh, Stéphane Carlier, Andreas König, et al.. (2015). Bag of forests for modelling of tissue energy interaction in optical coherence tomography for atherosclerotic plaque susceptibility assessment. 13. 428–431. 3 indexed citations

Conjeti, Sailesh, et al.. (2014). Full-Wave Intravascular Ultrasound Simulation from Histology. Lecture notes in computer science. 17(Pt 2). 627–634. 3 indexed citations

10.

Sheet, Debdoot, Satarupa Banerjee, Sri Phani Krishna Karri, et al.. (2014). Transfer learning of tissue photon interaction in optical coherence tomography towardsin vivo histology of the oral mucosa. 1389–1392. 4 indexed citations

11.

Sheet, Debdoot, Athanasios Karamalis, Peter B. Noël, et al.. (2013). Random forest learning of ultrasonic statistical physics and object spaces for lesion detection in 2D sonomammography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8675. 867515–867515. 2 indexed citations

12.

Sheet, Debdoot, Athanasios Karamalis, Abouzar Eslami, et al.. (2013). Hunting for necrosis in the shadows of intravascular ultrasound. Computerized Medical Imaging and Graphics. 38(2). 104–112. 6 indexed citations

13.

Sheet, Debdoot, Athanasios Karamalis, Abouzar Eslami, et al.. (2013). Joint learning of ultrasonic backscattering statistical physics and signal confidence primal for characterizing atherosclerotic plaques using intravascular ultrasound. Medical Image Analysis. 18(1). 103–117. 15 indexed citations

14.

Katouzian, Amin, Athanasios Karamalis, Debdoot Sheet, et al.. (2012). Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology. IEEE Transactions on Biomedical Engineering. 59(11). 3039–3049. 22 indexed citations

15.

Eslami, Abouzar, Athanasios Karamalis, Amin Katouzian, & Nassir Navab. (2012). Segmentation by retrieval with guided random walks: Application to left ventricle segmentation in MRI. Medical Image Analysis. 17(2). 236–253. 57 indexed citations

16.

Katouzian, Amin, Elsa D. Angelini, Stéphane Carlier, et al.. (2012). A State-of-the-Art Review on Segmentation Algorithms in Intravascular Ultrasound (IVUS) Images. IEEE Transactions on Information Technology in Biomedicine. 16(5). 823–834. 109 indexed citations

17.

Katouzian, Amin, et al.. (2010). Automatic detection of luminal borders in IVUS images by magnitude-phase histograms of complex brushlet coefficients. PubMed. 2010. 3073–3076. 12 indexed citations

18.

Katouzian, Amin, Babak Baseri, Elisa E. Konofagou, & Andrew F. Laine. (2008). Automatic detection of blood versus non-blood regions on intravascular ultrasound (IVUS) images using wavelet packet signatures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6920. 69200H–69200H. 23 indexed citations

19.

Katouzian, Amin, Babak Baseri, Elisa E. Konofagou, & Andrew F. Laine. (2008). An Alternative Approach to Spectrum-Based Atherosclerotic Plaque Characterization Techniques Using Intravascular Ultrasound (IVUS) Backscattered Signals. Columbia Academic Commons (Columbia University). 6 indexed citations

20.

Katouzian, Amin, et al.. (2008). Challenges in Atherosclerotic Plaque Characterization With Intravascular Ultrasound (IVUS): From Data Collection to Classification. IEEE Transactions on Information Technology in Biomedicine. 12(3). 315–327. 43 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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