Soroosh Tayebi Arasteh

发表

Conversion Between Bezier and Catmull-Rom Splines pdf

Adam Kalisz, Soroosh Tayebi Arasteh, 2020, ArXiv.

Optimal thresholds for discrete power levels using adaptive modulation in presence of imperfect channel state information

Houda Chihi, Reza Mahin Zaeem, Soroosh Tayebi Arasteh, 2017 .

Generalized LSTM-based End-to-End Text-Independent Speaker Verification pdf

Soroosh Tayebi Arasteh, 2020, ArXiv.

Conversion Between Cubic Bezier Curves and Catmull–Rom Splines

Adam Kalisz, Soroosh Tayebi Arasteh, A. Kalisz, 2020, SN Computer Science.

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

Stefan Evert, Vincent Christlein, Anguelos Nicolaou, 2021, 2021 IEEE 15th International Conference on Semantic Computing (ICSC).

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

Soroosh Tayebi Arasteh, Mahshad Lotfinia, 2021, ArXiv.

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

Soroosh Tayebi Arasteh, Mahshad Lotfinia, 2021, ArXiv.

Whole-heart and Great Vessel Segmentation from 3D Cardiovascular Magnetic Resonance Images in Congenital Heart Disease (Part II)

Soroosh Tayebi Arasteh, M. H. Moghari, Danielle Frances Pace, 2021 .

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

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Kather, 2022, ArXiv.

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

Soroosh Tayebi Arasteh, M. Schuster, A. Maier, 2022, 2204.06450.

A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Niehues, 2022, Scientific reports.

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2022, ArXiv.

Collaborative training of medical artificial intelligence models with non-uniform labels

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2022, Scientific reports.

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

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Engelhardt, 2022, 2211.03364.

Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology

Soroosh Tayebi Arasteh, Alexander Ziller, R. Braren, 2023, ArXiv.

Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging

Soroosh Tayebi Arasteh, Alexander Ziller, R. Braren, 2023, 2302.01622.

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2022, ArXiv.

Denoising diffusion probabilistic models for 3D medical image generation

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Engelhardt, 2023, Scientific reports.

A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Niehues, 2023, Scientific reports.

Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages

Soroosh Tayebi Arasteh, J. Rusz, Andreas Maier, 2023, ArXiv.

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, ArXiv.

Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy

Soroosh Tayebi Arasteh, S. Nebelung, D. Truhn, 2023, ArXiv.

Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages

Soroosh Tayebi Arasteh, J. Rusz, Andreas Maier, 2023, INTERSPEECH 2023.

Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, ArXiv.

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, ArXiv.

Is Speech Pathology a Biomarker in Automatic Speaker Verification?

Soroosh Tayebi Arasteh, M. Schuster, E. Nöth, 2022, ArXiv.

Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, Scientific reports.

Large language models streamline automated machine learning for clinical studies

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, Nature communications.