Mostafa Mehdipour-Ghazi

Orcid: 0000-0002-8473-281X

According to our database1, Mostafa Mehdipour-Ghazi authored at least 23 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2024
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification.
Proceedings of the Northern Lights Deep Learning Conference, 2024

2023
Partial feedback online transfer learning with multi-source domains.
Inf. Fusion, 2023

Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging.
CoRR, 2023

Active Transfer Learning for 3D Hippocampus Segmentation.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain.
CoRR, 2022

Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks.
CoRR, 2022

2021
Robust modeling and prediction of disease progression using machine learning.
PhD thesis, 2021

Robust parametric modeling of Alzheimer's disease progression.
NeuroImage, 2021

2019
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.
Medical Image Anal., 2019

On the Initialization of Long Short-Term Memory Networks.
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.
CoRR, 2018

2017
Image noise level estimation based on higher-order statistics.
Multim. Tools Appl., 2017

Plant identification using deep neural networks via optimization of transfer learning parameters.
Neurocomputing, 2017

Combining Multiple Views for Visual Speech Recognition.
Proceedings of the Auditory-Visual Speech Processing, 2017

2016
Automatic emotion recognition in the wild using an ensemble of static and dynamic representations.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition.
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.
Proceedings of the Working Notes of CLEF 2016, 2016

Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Sabanci-Okan System in LifeCLEF 2015 Plant Identification Competition.
Proceedings of the Working Notes of CLEF 2015, 2015

2011
Universal Steganalysis Based on Local Prediction Error in Wavelet Domain.
Proceedings of the Seventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2011


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