Search Results for author: Soroosh Tayebi Arasteh

Found 12 papers, 9 papers with code

Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers -- A multi-institutional evaluation

1 code implementation18 Apr 2023 Gustav Müller-Franzes, Fritz Müller-Franzes, Luisa Huck, Vanessa Raaff, Eva Kemmer, Firas Khader, Soroosh Tayebi Arasteh, Teresa Nolte, Jakob Nikolas Kather, Sven Nebelung, Christiane Kuhl, Daniel Truhn

Accurate and automatic segmentation of fibroglandular tissue in breast MRI screening is essential for the quantification of breast density and background parenchymal enhancement.

Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

1 code implementation7 Nov 2022 Firas Khader, Gustav Mueller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Christoph Haarburger, Maximilian Schulze-Hagen, Philipp Schad, Sandy Engelhardt, Bettina Baessler, Sebastian Foersch, Johannes Stegmaier, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn

Furthermore, we demonstrate that synthetic images can be used in a self-supervised pre-training and improve the performance of breast segmentation models when data is scarce (dice score 0. 91 vs. 0. 95 without vs. with synthetic data).

Computed Tomography (CT) Denoising +3

The effect of speech pathology on automatic speaker verification -- a large-scale study

no code implementations13 Apr 2022 Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang

Therefore, we investigate in this study whether or not pathological speech is more vulnerable to such re-identification than healthy speech.

Text-Independent Speaker Verification

How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies

1 code implementation21 Apr 2021 Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert

As a strong baseline, we propose a two-stage DL-based method: first, we create automatically labeled training data by applying a standard sentiment classifier to tweet replies and aggregating its predictions for each original tweet; our rationale is that individual errors made by the classifier are likely to cancel out in the aggregation step.

Twitter Sentiment Analysis

Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling

1 code implementation4 Feb 2021 Mahshad Lotfinia, Soroosh Tayebi Arasteh

Moreover, instead of using a constant value of flow stress during the multi-pass rolling process, we use a Finite Difference (FD) formulation of the equilibrium equation in order to account for the dynamic behavior of the flow stress, which leads to the estimation of the mean pressure, which the strip enforces to the rolls during deformation.

Conversion Between Cubic Bezier Curves and Catmull-Rom Splines

1 code implementation16 Nov 2020 Soroosh Tayebi Arasteh, Adam Kalisz

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.

Graphics Computational Geometry Algebraic Geometry

An Empirical Study on Text-Independent Speaker Verification based on the GE2E Method

no code implementations10 Nov 2020 Soroosh Tayebi Arasteh

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.

Speaker Recognition Text-Independent Speaker Verification

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