Pooya Ashtari

Orcid: 0000-0002-5032-7808

According to our database1, Pooya Ashtari authored at least 10 papers between 2018 and 2024.

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

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency.
CoRR, 2024

Quantization-free Lossy Image Compression Using Integer Matrix Factorization.
CoRR, 2024

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024

2023
Segmentation et détection de lésions cérébrales combinant apprentissage profond et factorisation à partir d'IRM multi-paramétriques. (Brain Lesion Segmentation and Detection on Multi-parametric MRI Data : Marrying Deep Learning with Low-rank Factorization).
PhD thesis, 2023

Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Medical Image Anal., 2023

2022
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome.
Frontiers Robotics AI, 2022

A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2020
Supervised fuzzy partitioning.
Pattern Recognit., 2020

Low-Rank Convolutional Networks for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2018
Supervised Fuzzy Partitioning.
CoRR, 2018


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