Soroosh Tayebi Arasteh

Soroosh Tayebi Arasteh
RWTH Aachen University

Master of Science

About

11
Publications
2,288
Reads
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6
Citations
Citations since 2016
11 Research Items
6 Citations
2016201720182019202020212022012345
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2016201720182019202020212022012345
2016201720182019202020212022012345
Additional affiliations
February 2022 - present
University Hospital RWTH Aachen
Position
  • Research Assistant
September 2020 - February 2022
Harvard Medical School
Position
  • Research Assistant
September 2020 - February 2022
Boston Children's Hospital
Position
  • Research Assistant
Education
February 2022 - February 2025
RWTH Aachen University
Field of study
  • AI in Medical Image Analysis
October 2017 - April 2021
Friedrich-Alexander-University of Erlangen-Nürnberg
Field of study
  • Electrical Engineering
September 2013 - July 2017
Buali Sina University
Field of study
  • Electrical Engineering

Publications

Publications (11)
Preprint
Full-text available
Splines are one of the main methods of mathematically representing complicated shapes, which have become the primary technique in the fields of Computer Graphics (CG) and Computer-Aided Geometric Design (CAGD) for modeling complex surfaces. Among all, Bézier and Catmull-Rom splines are the most common in the sub-fields of engineering. In this paper...
Conference Paper
Twitter sentiment analysis, which often focuses on predicting the polarity of tweets, has attracted increasing attention over the last years, in particular with the rise of deep learning (DL). In this paper, we propose a new task: predicting the predominant sentiment among (first-order) replies to a given tweet. Therefore, we created RETWEET, a lar...
Article
Full-text available
The continuous power scheme was the choice of many researchers towards power allocation. However, continuous power application is not very suitable following hardware complexity. For this discrete power is efficient, especially in cellular systems as it could reduce the feedback rate. On the other hand, receiver mobility implies transmission thresh...
Preprint
Full-text available
While many researchers in the speaker recognition area have started to replace the former classical state-of-the-art methods with deep learning techniques, some of the traditional i-vector-based methods are still state-of-the-art in the context of text-independent speaker verification. Google's Generalized End-to-End Loss for Speaker Verification (...
Preprint
Full-text available
During the strip rolling process, a considerable amount of the forces of the material pressure cause elastic deformation on the work-roll, i.e., the deflection process. The uncontrollable amount of the work-roll deflection leads to the high deviations in the permissible thickness of the plate along its width. In the context of the Austenitic Stainl...
Preprint
Full-text available
Artificial intelligence (AI) methods are revolutionizing medical image analysis. However, robust AI models require large multi-site datasets for training. While multiple stakeholders have provided publicly available datasets, the ways in which these data are labeled differ widely. For example, one dataset of chest radiographs might contain labels d...
Preprint
Recent advances in computer vision have shown promising results in image generation. Diffusion probabilistic models in particular have generated realistic images from textual input, as demonstrated by DALL-E 2, Imagen and Stable Diffusion. However, their use in medicine, where image data typically comprises three-dimensional volumes, has not been s...
Preprint
Artificial Intelligence (AI) has a multitude of applications in cancer research and oncology. However, the training of AI systems is impeded by the limited availability of large datasets due to data protection requirements and other regulatory obstacles. Federated and swarm learning represent possible solutions to this problem by collaboratively tr...
Preprint
Full-text available
With the advancements in deep learning (DL) and an increasing interest in data-driven speech processing methods, there is a major challenge in accessing pathological speech data. Public challenge data offers a potential remedy for this but may expose patient health information by re-identification attacks. Therefore, we investigate in this study wh...
Article
Full-text available
Splines are one of the main methods of mathematically representing complicated shapes, which have become the primary technique in the fields of Computer Graphics (CG) and Computer-Aided Geometric Design (CAGD) for modeling complex surfaces. Among all, Bézier and Catmull–Rom splines are the most common in the sub-fields of engineering. In this paper...
Preprint
Full-text available
Twitter sentiment analysis, which often focuses on predicting the polarity of tweets, has attracted increasing attention over the last years, in particular with the rise of deep learning (DL). In this paper, we propose a new task: predicting the predominant sentiment among (first-order) replies to a given tweet. Therefore, we created RETWEET, a lar...

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