Mostafa Mehdipour-Ghazi

48 papers B 1Journal 29Unranked 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.
CoRR
Asbjørn Munk, Stefano Cerri, Jakob Ambsdorf, Julia Machnio, Sebastian Nørgaard Llambias, Vardan Nersesjan, Christian Hedeager Krag, Peirong Liu, Pablo Rocamora-García, Mostafa Mehdipour-Ghazi, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen
2025 — conf
Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging.
SCIA (1)
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025 — conf
Deep Learning for Localization of White Matter Lesions in Neurological Diseases.
NLDL
Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025 J jnl
Deep Learning-Based Regional White Matter Hyperintensity Mapping as a Robust Biomarker for Alzheimer's Disease.
CoRR
Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025 — conf
FAST-AID Brain: Fast and Accurate Segmentation Tool Using Artificial Intelligence Developed for Brain.
SCIA (1)
Mostafa Mehdipour-Ghazi, Mads Nielsen
2025 J jnl
MRI Embeddings Complement Clinical Predictors for Cognitive Decline Modeling in Alzheimer's Disease Cohorts.
CoRR
Nathaniel Putera, Daniel Vilet Rodríguez, Noah Videcrantz, Julia Machnio, Mostafa Mehdipour-Ghazi
2025 — conf
RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation.
EMA4MICCAI
Simon Winther Albertsen, Hjalte Svaneborg Bjørnstrup, Mostafa Mehdipour-Ghazi
2025 J jnl
RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation.
CoRR
Simon Winther Albertsen, Hjalte Svaneborg Bjørnstrup, Mostafa Mehdipour-Ghazi
2025 — conf
Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels.
MICCAI (13)
Aida Moafi, Danial Moafi, Evgeny M. Mirkes, Gerry P. McCann, Abbas S. Alatrany, Jayanth Ranjit Arnold, Mostafa Mehdipour-Ghazi
2025 J jnl
Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels.
CoRR
Aida Moafi, Danial Moafi, Evgeny M. Mirkes, Gerry P. McCann, Abbas S. Alatrany, Jayanth Ranjit Arnold, Mostafa Mehdipour-Ghazi
2025 J jnl
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models.
CoRR
Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi
2025 J jnl
Tooth-Diffusion: Guided 3D CBCT Synthesis with Fine-Grained Tooth Conditioning.
CoRR
Said Djafar Said, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi
2025 J jnl
Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning.
CoRR
Julia Machnio, Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2024 J jnl
Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis.
CoRR
Milla E. Nielsen, Mads Nielsen, Mostafa Mehdipour-Ghazi
2024 J jnl
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data.
IEEE Trans. Neural Networks Learn. Syst.
Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
2024 — conf
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification.
NLDL
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2024 J jnl
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs.
CoRR
Karl Van Eeden Risager, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi
2024 — conf
Non-reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs.
DGM4MICCAI@MICCAI
Karl Van Eeden Risager, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi
2024 J jnl
Yucca: A Deep Learning Framework For Medical Image Analysis.
CoRR
Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023 — conf
Active Transfer Learning for 3D Hippocampus Segmentation.
MILLanD@MICCAI
Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen
2023 J jnl
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging.
CoRR
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023 — conf
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19.
ISBI
Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023 J jnl
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19.
CoRR
Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi
2023 — conf
GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis.
CLEF (Working Notes)
Mehdi Mehdipour-Ghazi, Mostafa Mehdipour-Ghazi
2023 J jnl
Partial feedback online transfer learning with multi-source domains.
Inf. Fusion
Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi
2022 J jnl
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen
2022 J jnl
Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks.
CoRR
Mehdi Mehdipour-Ghazi, Amin Ramezani, Mehdi Siahi, Mostafa Mehdipour-Ghazi
2021 J jnl
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data.
CoRR
Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
2021 — —
Robust modeling and prediction of disease progression using machine learning.
Mostafa Mehdipour-Ghazi
2021 J jnl
Robust parametric modeling of Alzheimer's disease progression.
NeuroImage
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019 — conf
On the Initialization of Long Short-Term Memory Networks.
ICONIP (1)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019 J jnl
On the Initialization of Long Short-Term Memory Networks.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019 J jnl
Robust parametric modeling of Alzheimer's disease progression.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
2019 J jnl
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.
Medical Image Anal.
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2019 J jnl
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2018 J jnl
Robust training of recurrent neural networks to handle missing data for disease progression modeling.
CoRR
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
2017 — conf
Combining Multiple Views for Visual Speech Recognition.
AVSP
Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran
2017 J jnl
Combining Multiple Views for Visual Speech Recognition.
CoRR
Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran
2017 J jnl
Image noise level estimation based on higher-order statistics.
Multim. Tools Appl.
Mostafa Mehdipour-Ghazi, Hakan Erdogan
2017 J jnl
Plant identification using deep neural networks via optimization of transfer learning parameters.
Neurocomputing
Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula
2017 J jnl
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System.
CoRR
Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran
2016 — conf
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition.
CVPR Workshops
Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel
2016 J jnl
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition.
CoRR
Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel
2016 B conf
Automatic emotion recognition in the wild using an ensemble of static and dynamic representations.
ICMI
Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel
2016 — conf
Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks.
CLEF (Working Notes)
Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula
2016 — conf
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System.
ACCV Workshops (2)
Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran
2015 — conf
Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition.
CLEF (Working Notes)
Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula, Ozlem Muslu, Murat Can Ozdemir
2011 — conf
Universal Steganalysis Based on Local Prediction Error in Wavelet Domain.
IIH-MSP
Anahita Shojaei-Hashemi, Mostafa Mehdipour-Ghazi, Shahrokh Ghaemmaghami, Hamid Soltanian-Zadeh