Universal Steganalysis Based on Local Prediction Error in Wavelet Domain. - Anahita Shojaei-Hashemi; Mostafa Mehdipour-Ghazi; Shahrokh Ghaemmaghami; Hamid Soltanian-Zadeh (IIH-MSP, 2011)

Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition. - Mostafa Mehdipour-Ghazi; Berrin A. Yanikoglu; Erchan Aptoula; Ozlem Muslu; Murat Can Ozdemir (CLEF (Working Notes), 2015)

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 (ACCV Workshops (2), 2016)

Open-set Plant Identification Using an Ensemble of Deep Convolutional Neural Networks. - Mostafa Mehdipour-Ghazi; Berrin A. Yanikoglu; Erchan Aptoula (CLEF (Working Notes), 2016)

A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition. - Mostafa Mehdipour-Ghazi; Hazim Kemal Ekenel (CVPR Workshops, 2016)

Automatic emotion recognition in the wild using an ensemble of static and dynamic representations. - Mostafa Mehdipour-Ghazi; Hazim Kemal Ekenel (ICMI, 2016)

Combining Multiple Views for Visual Speech Recognition. - Marina Zimmermann; Mostafa Mehdipour-Ghazi; Hazim Kemal Ekenel; Jean-Philippe Thiran (AVSP, 2017)

Plant identification using deep neural networks via optimization of transfer learning parameters. - Mostafa Mehdipour-Ghazi; Berrin A. Yanikoglu; Erchan Aptoula (Neurocomputing, 2017)

Image noise level estimation based on higher-order statistics. - Mostafa Mehdipour-Ghazi; Hakan Erdogan (Multim. Tools Appl., 2017)

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)

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 (ICONIP (1), 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)

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)

Robust modeling and prediction of disease progression using machine learning. - Mostafa Mehdipour-Ghazi (2021)

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)

GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis. - Mehdi Mehdipour-Ghazi; Mostafa Mehdipour-Ghazi (CLEF (Working Notes), 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 (ISBI, 2023)

Active Transfer Learning for 3D Hippocampus Segmentation. - Ji Wu; Zhongfeng Kang; Sebastian Nørgaard Llambias; Mostafa Mehdipour-Ghazi; Mads Nielsen (MILLanD@MICCAI, 2023)

Partial feedback online transfer learning with multi-source domains. - Zhongfeng Kang; Mads Nielsen; Bo Yang 011; Mostafa Mehdipour-Ghazi (Inf. Fusion, 2023)

Non-reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs. - Karl Van Eeden Risager; Torkan Gholamalizadeh; Mostafa Mehdipour-Ghazi (DGM4MICCAI@MICCAI, 2024)

Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification. - Sebastian Nørgaard Llambias; Mads Nielsen; Mostafa Mehdipour-Ghazi (NLDL, 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)

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)

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., 2024)

Deep Learning for Localization of White Matter Lesions in Neurological Diseases. - Julia Machnio; Mads Nielsen; Mostafa Mehdipour-Ghazi (NLDL, 2025)

Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging. - Sebastian Nørgaard Llambias; Mads Nielsen; Mostafa Mehdipour-Ghazi (SCIA (1), 2025)

FAST-AID Brain: Fast and Accurate Segmentation Tool Using Artificial Intelligence Developed for Brain. - Mostafa Mehdipour-Ghazi; Mads Nielsen (SCIA (1), 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; et al. (CoRR, 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 (CoRR, 2025)

Towards Scalable and Robust White Matter Lesion Localization via Multimodal Deep Learning. - Julia Machnio; Sebastian Nørgaard Llambias; Mads Nielsen; Mostafa Mehdipour-Ghazi (CoRR, 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 (CoRR, 2025)

RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation. - Simon Winther Albertsen; Hjalte Svaneborg Bjørnstrup; Mostafa Mehdipour-Ghazi (CoRR, 2025)

Tooth-Diffusion: Guided 3D CBCT Synthesis with Fine-Grained Tooth Conditioning. - Said Djafar Said; Torkan Gholamalizadeh; Mostafa Mehdipour-Ghazi (CoRR, 2025)