Faezeh Fallah

Orcid: 0000-0002-7115-9161

Affiliations:
  • University of Stuttgart, Germany


According to our database1, Faezeh Fallah authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2024
Image-based Feature and Prior Learning with Applications to Volumetric Segmentation of Fat-Water Magnetic Resonance Images.
PhD thesis, 2024

2023
Active Inference-Based Optimization of Discriminative Neural Network Classifiers.
CoRR, 2023

Hierarchical Multiresolution Feature- and Prior-based Graphs for Classification.
CoRR, 2023

Hierarchical Quadratic Random Forest Classifier.
CoRR, 2023

2020
Supervised Canonical Correlation Analysis of Data on Symmetric Positive Definite Manifolds by Riemannian Dimensionality Reduction.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Semi-supervised Riemannian Dimensionality Reduction and Classification Using a Manifold-based Random Walker Graph.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Simultaneous Volumetric Segmentation of Vertebral Bodies and Intervertebral Discs on Fat-Water MR Images.
IEEE J. Biomed. Health Informatics, 2019

Spatial and Hierarchical Riemannian Dimensionality Reduction and Dictionary Learning for Segmenting Multichannel Images.
Proceedings of the 27th European Signal Processing Conference, 2019

Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Hierarchical Feature-learning Graph-based Segmentation of Fat-Water MR Images.
Proceedings of the Signal Processing: Algorithms, 2018

A Hierarchical Ensemble Classifier for Multilabel Segmentation of Fat-Water MR Images.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Accurate robust nonlinear surface registration with simultaneous point cloud and triangular mesh representation.
Proceedings of the Signal Processing: Algorithms, 2017

A novel objective function based on a generalized kelly criterion for deep learning.
Proceedings of the Signal Processing: Algorithms, 2017

Automatic atlas-guided constrained random Walker algorithm for 3D segmentation of muscles on water magnetic resonance images.
Proceedings of the 25th European Signal Processing Conference, 2017


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