Mostafa Mehdipour-Ghazi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Topics

Lesion Segmentation

Visual Speech Recognition

Top Venues

CLEF (Working Notes)

IEEE Trans. Neural Networks Learn. Syst.

Publications

Karl Van Eeden Risager, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs. CoRR (2024)
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) (2024)
Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi
Yucca: A Deep Learning Framework For Medical Image Analysis. CoRR (2024)
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. NLDL (2024)
Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi
Partial feedback online transfer learning with multi-source domains. Inf. Fusion 89 (2023)
Mehdi Mehdipour-Ghazi, Mostafa Mehdipour-Ghazi
GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis. CLEF (Working Notes) (2023)
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging. CoRR (2023)
Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen
Active Transfer Learning for 3D Hippocampus Segmentation. MILLanD@MICCAI (2023)
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)
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 (2023)
Mostafa Mehdipour-Ghazi, Mads Nielsen
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain. CoRR (2022)
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 (2021)
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 (2021)
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 (2019)
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 (2019)
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 (2019)
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 (2019)
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)
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 (2018)
Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran
Combining Multiple Views for Visual Speech Recognition. AVSP (2017)
Mostafa Mehdipour-Ghazi, Hakan Erdogan
Image noise level estimation based on higher-order statistics. Multim. Tools Appl. 76 (2) (2017)
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 (2017)
Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula
Plant identification using deep neural networks via optimization of transfer learning parameters. Neurocomputing 235 (2017)
Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran
Combining Multiple Views for Visual Speech Recognition. CoRR (2017)
Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula
Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks. CLEF (Working Notes) (2016)
Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition. CVPR Workshops (2016)
Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition. CoRR (2016)
Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel
Automatic emotion recognition in the wild using an ensemble of static and dynamic representations. ICMI (2016)
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)
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)
Anahita Shojaei-Hashemi, Mostafa Mehdipour-Ghazi, Shahrokh Ghaemmaghami, Hamid Soltanian-Zadeh
Universal Steganalysis Based on Local Prediction Error in Wavelet Domain. IIH-MSP (2011)