Yannet Interian

624 total citations
16 papers, 334 citations indexed

About

Yannet Interian is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Yannet Interian has authored 16 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Yannet Interian's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers) and Constraint Satisfaction and Optimization (3 papers). Yannet Interian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers) and Constraint Satisfaction and Optimization (3 papers). Yannet Interian collaborates with scholars based in United States, Canada and France. Yannet Interian's co-authors include Mirjam Wattenhofer, Gilmer Valdés, Timothy D. Solberg, V.C. Rideout, Efstathios D. Gennatas, Vasant Kearney, Olivier Morin, J Cheung, Hubie Chen and Olivier Dubois and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics and Radiotherapy and Oncology.

In The Last Decade

Yannet Interian

16 papers receiving 324 citations

Peers

Yannet Interian

RNMI

RADIA

SPS

CNC

G. James Blaine United States

Rosa Sicilia Italy

Si Young Jang United States

Anthony Kim United States

Frank J. Manion United States

Uwe Engelmann Germany

Alireza Talebpour Iran

Sarah Frye United States

Markus Plass Austria

Sean Rose United States

G. James Blaine United States

Yannet Interian

170 ×1.3

RNMI

14 ×0.2

RADIA

96 ×1.3

15 ×0.2

SPS

22 ×0.5

CNC

Citations per year, relative to Yannet Interian Yannet Interian (= 1×) peers G. James Blaine

Countries citing papers authored by Yannet Interian

Since Specialization

Citations

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

Fields of papers citing papers by Yannet Interian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannet Interian

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

All Works

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16 of 16 papers shown

Lupo, Janine, et al.. (2022). Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning. Journal of Digital Imaging. 36(1). 289–305. 4 indexed citations

Interian, Yannet, et al.. (2021). The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients. Artificial Intelligence in Medicine. 118. 102118–102118. 4 indexed citations

Phillips, Joanna, Annette M. Molinaro, Yannet Interian, et al.. (2021). NIMG-25. IMPROVING THE NONINVASIVE CLASSIFICATION OF GLIOMA GENETIC SUBTYPE WITH DEEP LEARNING AND DIFFUSION-WEIGHTED IMAGING. Neuro-Oncology. 23(Supplement_6). vi133–vi134. 1 indexed citations

Interian, Yannet, Joanna J. Phillips, Annette M. Molinaro, et al.. (2021). Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging. Neuro-Oncology. 24(4). 639–652. 39 indexed citations

Valdés, Gilmer, et al.. (2020). PO-1527: When small is too small? Training Deep Learning models in limited datasets.. Radiotherapy and Oncology. 152. S825–S825. 1 indexed citations

Interian, Yannet, et al.. (2019). Training Deep Learning models with small datasets.. arXiv (Cornell University). 7 indexed citations

Valdés, Gilmer, Albert J. Chang, Yannet Interian, et al.. (2018). Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis. International Journal of Radiation Oncology*Biology*Physics. 101(3). 694–703. 14 indexed citations

Interian, Yannet, V.C. Rideout, Vasant Kearney, et al.. (2018). Deep nets vs expert designed features in medical physics: An IMRT QA case study. Medical Physics. 45(6). 2672–2680. 101 indexed citations

Interian, Yannet, et al.. (2011). Catching a viral video. Journal of Intelligent Information Systems. 40(2). 241–259. 68 indexed citations

10.

Interian, Yannet, et al.. (2010). Catching a Viral Video. 296–304. 35 indexed citations

11.

Interian, Yannet, et al.. (2009). Measuring Advertising Quality on Television. Journal of Advertising Research. 49(4). 419–428. 14 indexed citations

12.

Interian, Yannet, et al.. (2009). Ad quality on TV. 85–91. 5 indexed citations

13.

Interian, Yannet, et al.. (2006). Finding Small Unsatisfiable Cores to Prove Unsatisfiability of QBFs.. 1 indexed citations

14.

Boufkhad, Yacine, Olivier Dubois, Yannet Interian, & Bart Selman. (2006). Regular Random k-SAT: Properties of Balanced Formulas. Journal of Automated Reasoning. 35(1-3). 181–200. 16 indexed citations

15.

Chen, Hubie & Yannet Interian. (2005). A model for generating random quantified boolean formulas. International Joint Conference on Artificial Intelligence. 66–71. 10 indexed citations

16.

Interian, Yannet, et al.. (1999). Modeling HIV Epidemic under Contact Tracing — The Cuban Case. Computational and Mathematical Methods in Medicine. 2(4). 267–274. 14 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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