Hussain Alasmawi

Orcid: 0000-0002-5404-8849

According to our database1, Hussain Alasmawi authored at least 11 papers between 2022 and 2026.

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Timeline

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Bibliography

2026
Advanced Tumor Segmentation in PET/CT Imaging: A Training Strategy Study with nnU-Net for AutoPET III.
CoRR, May, 2026

The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT - Multitracer Multicenter Generalization.
CoRR, May, 2026

2025
FETAL-GAUGE: A Benchmark for Assessing Vision-Language Models in Fetal Ultrasound.
CoRR, December, 2025

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023.
CoRR, June, 2025

FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis.
CoRR, February, 2025

2024
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models.
Medical Image Anal., December, 2023

FUSC: Fetal Ultrasound Semantic Clustering of Second Trimester Scans Using Deep Self-supervised Learning.
CoRR, 2023

Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos.
Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

2022
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022


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