Mostafa Mehdipour-Ghazi

According to our database, Mostafa Mehdipour-Ghazi authored at least 36 papers between 2011 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge.

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, April, 2026

2025

MRI Embeddings Complement Clinical Predictors for Cognitive Decline Modeling in Alzheimer's Disease Cohorts.

Nathaniel Putera, Daniel Vilet Rodríguez, Noah Videcrantz, Julia Machnio, Mostafa Mehdipour-Ghazi

CoRR, November, 2025

Deep Learning-Based Regional White Matter Hyperintensity Mapping as a Robust Biomarker for Alzheimer's Disease.

Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi

CoRR, November, 2025

Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning.

Julia Machnio, Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi

CoRR, June, 2025

A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.

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

CoRR, June, 2025

FAST-AID Brain: Fast and Accurate Segmentation Tool Using Artificial Intelligence Developed for Brain.

Mostafa Mehdipour-Ghazi, Mads Nielsen

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging.

Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi

Proceedings of the Image Analysis - 23rd Scandinavian Conference, 2025

Deep Learning for Localization of White Matter Lesions in Neurological Diseases.

Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi

Proceedings of the Northern Lights Deep Learning Conference, 2025

Tooth-Diffusion: Guided 3D CBCT Synthesis with Fine-Grained Tooth Conditioning.

Said Djafar Said, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi

Proceedings of the Oral and Dental Image Analysis - First International Workshop, 2025

Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels.

Aida Moafi, Danial Moafi, Evgeny M. Mirkes, Gerry P. McCann, Abbas S. Alatrany, Jayanth Ranjit Arnold, Mostafa Mehdipour-Ghazi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation.

Simon Winther Albertsen, Hjalte Svaneborg Bjørnstrup, Mostafa Mehdipour-Ghazi

Proceedings of the Efficient Medical Artificial Intelligence, 2025

To Label or Not to Label: PALM - a Predictive Model for Evaluating Sample Efficiency in Active Learning Models.

Julia Machnio, Mads Nielsen, Mostafa Mehdipour-Ghazi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data.

Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis.

Milla E. Nielsen, Mads Nielsen, Mostafa Mehdipour-Ghazi

CoRR, 2024

Yucca: A Deep Learning Framework For Medical Image Analysis.

Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk, Jakob Ambsdorf, Mads Nielsen, Mostafa Mehdipour-Ghazi

CoRR, 2024

Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification.

Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour-Ghazi

Proceedings of the Northern Lights Deep Learning Conference, 2024

Non-reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs.

Karl Van Eeden Risager, Torkan Gholamalizadeh, Mostafa Mehdipour-Ghazi

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

2023

Partial feedback online transfer learning with multi-source domains.

Zhongfeng Kang, Mads Nielsen, Bo Yang, Mostafa Mehdipour-Ghazi

Inf. Fusion, 2023

Active Transfer Learning for 3D Hippocampus Segmentation.

Ji Wu, Zhongfeng Kang, Sebastian Nørgaard Llambias, Mostafa Mehdipour-Ghazi, Mads Nielsen

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19.

Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein, Christina Kruuse, Mads Nielsen, Mostafa Mehdipour-Ghazi

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis.

Mehdi Mehdipour-Ghazi, Mostafa Mehdipour-Ghazi

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks.

Mehdi Mehdipour-Ghazi, Amin Ramezani, Mehdi Siahi, Mostafa Mehdipour-Ghazi

CoRR, 2022

2021

Robust modeling and prediction of disease progression using machine learning.

Mostafa Mehdipour-Ghazi

PhD thesis, 2021

Robust parametric modeling of Alzheimer's disease progression.

Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen

NeuroImage, 2021

2019

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.

Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen

Medical Image Anal., 2019

On the Initialization of Long Short-Term Memory Networks.

Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Robust training of recurrent neural networks to handle missing data for disease progression modeling.

Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen

CoRR, 2018

2017

Image noise level estimation based on higher-order statistics.

Mostafa Mehdipour-Ghazi, Hakan Erdogan

Multim. Tools Appl., 2017

Plant identification using deep neural networks via optimization of transfer learning parameters.

Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula

Neurocomputing, 2017

Combining Multiple Views for Visual Speech Recognition.

Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran

Proceedings of the 14th International Conference on Auditory-Visual Speech Processing, 2017

2016

Automatic emotion recognition in the wild using an ensemble of static and dynamic representations.

Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition.

Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks.

Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula

Proceedings of the Working Notes of CLEF 2016, 2016

Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System.

Marina Zimmermann, Mostafa Mehdipour-Ghazi, Hazim Kemal Ekenel, Jean-Philippe Thiran

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition.

Mostafa Mehdipour-Ghazi, Berrin A. Yanikoglu, Erchan Aptoula, Ozlem Muslu, Murat Can Ozdemir

Proceedings of the Working Notes of CLEF 2015, 2015

2011

Universal Steganalysis Based on Local Prediction Error in Wavelet Domain.

Anahita Shojaei-Hashemi, Mostafa Mehdipour-Ghazi, Shahrokh Ghaemmaghami, Hamid Soltanian-Zadeh

Proceedings of the Seventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2011