Burhan Rashid Hussein

Orcid: 0000-0002-9683-8689

According to our database1, Burhan Rashid Hussein authored at least 11 papers between 2021 and 2024.

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

Timeline

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Links

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Bibliography

2024
Multi-Sequence Learning for Multiple Sclerosis Lesion Segmentation in Spinal Cord MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Corrigendum to "Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review" [Ecological Informatics, Volume 69, 2022, 101641, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2022.101641].
Ecol. Informatics, September, 2023

Service Selection Using an Ensemble Meta-Learning Classifier for Students with Disabilities.
Multimodal Technol. Interact., April, 2023

A Study on Loss Functions and Decision Thresholds for the Segmentation of Multiple Sclerosis Lesions on Spinal Cord MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Expert Variability and Deep Learning Performance in Spinal Cord Lesion Segmentation for Multiple Sclerosis Patients.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
An Ensemble Learning Based Classification Approach for the Prediction of Household Solid Waste Generation.
Sensors, 2022

Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review.
Ecol. Informatics, 2022

2021
Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation.
Sensors, 2021

Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy.
Ecol. Informatics, 2021

Application of Computer Vision and Machine Learning for Digitized Herbarium Specimens: A Systematic Literature Review.
CoRR, 2021

The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences.
CoRR, 2021


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