Mostafa Mehdipour-Ghazi

CoRR, July, 2025

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

[BibT_eX]

[DOI]

Julia Machnio

CoRR, July, 2025

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

[BibT_eX]

[DOI]

Julia Machnio

CoRR, June, 2025

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

[BibT_eX]

[DOI]

Jayanth Ranjit Arnold

CoRR, June, 2025

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

[BibT_eX]

[DOI]

Vardan Nersesjan

Christian Hedeager Krag

Peirong Liu

Pablo Rocamora-García

Mikael Boesen

Michael Eriksen Benros

Juan Eugenio Iglesias

CoRR, June, 2025

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

[BibT_eX]

[DOI]

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

Data Augmentation-Based Unsupervised Domain Adaptation in Medical Imaging.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Julia Machnio

Proceedings of the Northern Lights Deep Learning Conference, 2025

2024

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

[BibT_eX]

[DOI]

Lauge Sørensen

Sébastien Ourselin

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

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

[BibT_eX]

[DOI]

Milla E. Nielsen

CoRR, 2024

Yucca: A Deep Learning Framework For Medical Image Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Northern Lights Deep Learning Conference, 2024

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

[BibT_eX]

[DOI]

Karl Van Eeden Risager

Torkan Gholamalizadeh

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

2023

Partial feedback online transfer learning with multi-source domains.

[BibT_eX]

[DOI]

Zhongfeng Kang

Bo Yang

Inf. Fusion, 2023

Active Transfer Learning for 3D Hippocampus Segmentation.

[BibT_eX]

[DOI]

Ji Wu

Zhongfeng Kang

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

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

[BibT_eX]

[DOI]

Neus Rodeja Ferrer

Malini Vendela Sagar

Kiril Vadimovic Klein

Christina Kruuse

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

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

[BibT_eX]

[DOI]

Mehdi 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.

[BibT_eX]

[DOI]

Mehdi Mehdipour-Ghazi

Amin Ramezani

Mehdi Siahi

CoRR, 2022

2021

Robust modeling and prediction of disease progression using machine learning.

[BibT_eX]

[DOI]

PhD thesis, 2021

Robust parametric modeling of Alzheimer's disease progression.

[BibT_eX]

[DOI]

NeuroImage, 2021

2019

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

[BibT_eX]

[DOI]

Medical Image Anal., 2019

On the Initialization of Long Short-Term Memory Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Image noise level estimation based on higher-order statistics.

[BibT_eX]

[DOI]

Hakan Erdogan

Multim. Tools Appl., 2017

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

[BibT_eX]

[DOI]

Berrin A. Yanikoglu

Erchan Aptoula

Neurocomputing, 2017

Combining Multiple Views for Visual Speech Recognition.

[BibT_eX]

[DOI]

Marina Zimmermann

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Marina Zimmermann

Jean-Philippe Thiran

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of CLEF 2015, 2015

2011

Universal Steganalysis Based on Local Prediction Error in Wavelet Domain.

[BibT_eX]

[DOI]

Anahita Shojaei-Hashemi