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ORCIDNaghmeh Mahmoodian
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2020 – today
- 2024
[j3]Naghmeh Mahmoodian
, Mohammad Rezapourian, Asim Abdulsamad Inamdar, Kunal Kumar, Melanie Fachet, Christoph Hoeschen:
Enabling Low-Dose In Vivo Benchtop X-ray Fluorescence Computed Tomography through Deep-Learning-Based Denoising. J. Imaging 10(6): 127 (2024)- 2023
- [c4]Naghmeh Mahmoodian, Sumit Chakrabarty, Marilena Georgiades, Maciej Pech, Christoph Hoeschen:
Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method. EMBC 2023: 1-4 - 2022
- [c3]Maryam Sadeghi, Pedro Neto, Arnau Ramos-Prats, Federico Castaldi, Enrica Paradiso, Naghmeh Mahmoodian, Francesco Ferraguti, Georg Göbel:
Automatic 2D to 3D localization of histological mouse brain sections in the reference atlas using deep learning. Medical Imaging: Image Processing 2022 - 2020
- [j2]Naghmeh Mahmoodian, Javad Haddadnia, Alfredo Illanes, Axel Boese, Michael Friebe:
Seizure prediction with cross-higher-order spectral analysis of EEG signals. Signal Image Video Process. 14(4): 821-828 (2020)
2010 – 2019
- 2019
- [j1]Naghmeh Mahmoodian, Anna Schaufler, Ali Mahmoud-Pashazadeh, Axel Boese, Michael Friebe, Alfredo Illanes:
Proximal detection of guide wire perforation using feature extraction from bispectral audio signal analysis combined with machine learning. Comput. Biol. Medicine 107: 10-17 (2019) - [c2]Thomas Sühn, Arathi Sreenivas, Naghmeh Mahmoodian, Iván Maldonado Zambrano, Axel Boese, Alfredo Illanes, Michael Bloxton, Michael Friebe:
Design of an Auscultation System for Phonoangiography and Monitoring of Carotid Artery Diseases. EMBC 2019: 1776-1779 - [c1]Naghmeh Mahmoodian, Prabal Poudel, Alfredo Illanes, Michael Friebe:
Higher Order Statistical Analysis for Thyroid Texture Classification and Segmentation in 2D ultrasound Images. EMBC 2019: 5832-5835
Coauthor Index
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