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ORCIDMostafa Mehdipour-Ghazi
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Books and Theses
- 2021
[b1]Mostafa Mehdipour-Ghazi:
Robust modeling and prediction of disease progression using machine learning. University College London, UK, 2021
Journal Articles
- 2024
- [j6]Mostafa Mehdipour-Ghazi
, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Trans. Neural Networks Learn. Syst. 35(1): 792-802 (2024) - 2023
- [j5]Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi:
Partial feedback online transfer learning with multi-source domains. Inf. Fusion 89: 29-40 (2023) - 2021
- [j4]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225: 117460 (2021) - 2019
- [j3]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53: 39-46 (2019) - 2017
- [j2]Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula:
Plant identification using deep neural networks via optimization of transfer learning parameters. Neurocomputing 235: 228-235 (2017) - [j1]Mostafa Mehdipour-Ghazi, Hakan Erdogan:
Image noise level estimation based on higher-order statistics. Multim. Tools Appl. 76(2): 2379-2397 (2017)
Conference and Workshop Papers
- 2024
- [c13]Karl Van Eeden Risager, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi:
Non-reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs. DGM4MICCAI@MICCAI 2024: 191-201 - [c12]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL 2024: 138-144 - 2023
- [c11]Mehdi Mehdipour-Ghazi, Mostafa Mehdipour-Ghazi:
GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis. CLEF (Working Notes) 2023: 1588-1595 - [c10]Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. ISBI 2023: 1-4 - [c9]Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen:
Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI 2023: 224-234 - 2019
- [c8]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. ICONIP (1) 2019: 275-286 - 2017
- [c7]Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Combining Multiple Views for Visual Speech Recognition. AVSP 2017: 47-52 - 2016
- [c6]Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System. ACCV Workshops (2) 2016: 264-276 - [c5]Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula:
Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks. CLEF (Working Notes) 2016: 518-524 - [c4]Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel:
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition. CVPR Workshops 2016: 102-109 - [c3]Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel:
Automatic emotion recognition in the wild using an ensemble of static and dynamic representations. ICMI 2016: 514-521 - 2015
- [c2]Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula, Ozlem Muslu, Murat Can Ozdemir:
Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition. CLEF (Working Notes) 2015 - 2011
- [c1]Anahita Shojaei-Hashemi, Mostafa Mehdipour-Ghazi, Shahrokh Ghaemmaghami, Hamid Soltanian-Zadeh:
Universal Steganalysis Based on Local Prediction Error in Wavelet Domain. IIH-MSP 2011: 165-168
Informal and Other Publications
- 2024
- [i14]Karl Van Eeden Risager, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi:
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs. CoRR abs/2407.14994 (2024) - [i13]Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Yucca: A Deep Learning Framework For Medical Image Analysis. CoRR abs/2407.19888 (2024) - 2023
- [i12]Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19. CoRR abs/2301.09322 (2023) - [i11]Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi:
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. CoRR abs/2308.04395 (2023) - 2022
- [i10]Mehdi Mehdipour-Ghazi, Amin Ramezani, Mehdi Siahi, Mostafa Mehdipour-Ghazi:
Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks. CoRR abs/2204.10222 (2022) - [i9]Mostafa Mehdipour-Ghazi, Mads Nielsen:
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain. CoRR abs/2208.14360 (2022) - 2021
- [i8]Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen:
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. CoRR abs/2104.03739 (2021) - 2019
- [i7]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR abs/1903.07173 (2019) - [i6]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
Robust parametric modeling of Alzheimer's disease progression. CoRR abs/1908.05338 (2019) - [i5]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen:
On the Initialization of Long Short-Term Memory Networks. CoRR abs/1912.10454 (2019) - 2018
- [i4]Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen:
Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR abs/1808.05500 (2018) - 2017
- [i3]Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System. CoRR abs/1710.07161 (2017) - [i2]Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran:
Combining Multiple Views for Visual Speech Recognition. CoRR abs/1710.07168 (2017) - 2016
- [i1]Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel:
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition. CoRR abs/1606.02894 (2016)
Coauthor Index
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