Abdullah F. Al-Battal
Orcid: 0000-0002-2215-4217
According to our database1,
Abdullah F. Al-Battal
authored at least 11 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans.
CoRR, 2024
A Learning-Free Approach to Mitigate Abnormal Deformations in Medical Image Registration.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Enhanced Small Liver Lesion Detection and Segmentation Using a Size-Focused Multi-model Approach in CT Scans.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Efficient In-Training Adaptive Compound Loss Function Contribution Control for Medical Image Segmentation.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Multi-path decoder U-Net: A weakly trained real-time segmentation network for object detection and localization in ultrasound scans.
Comput. Medical Imaging Graph., 2023
2022
CoRR, 2022
Object Detection and Tracking in Ultrasound Scans Using an Optical Flow and Semantic Segmentation Framework Based on Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022
Data Augmentation Methods For Object Detection and Segmentation In Ultrasound Scans: An Empirical Comparative Study.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022
2021
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
IEEE Geosci. Remote. Sens. Lett., 2020
2017
IEEE Trans. Geosci. Remote. Sens., 2017