Abdullah F. Al-Battal - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Multi-path decoder U-Net: A weakly trained real-time segmentation network for object detection and localization in ultrasound scansAbdullah F. Al-Battal, Imanuel R. Lerman, Truong Q. Nguyen. cmig, 107:102205, 2023. [doi]

2022

Object Detection and Tracking in Ultrasound Scans Using an Optical Flow and Semantic Segmentation Framework Based on Convolutional Neural NetworksAbdullah F. Al-Battal, Imanuel R. Lerman, Truong Q. Nguyen. icassp 2022: 1096-1100 [doi]

Data Augmentation Methods For Object Detection and Segmentation In Ultrasound Scans: An Empirical Comparative StudySachintha R. Brandigampala, Abdullah F. Al-Battal, Truong Q. Nguyen. cbms 2022: 288-291 [doi]

2021

A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve DetectionAbdullah F. Al-Battal, Yan Gong, Lu Xu, Timothy Morton, Chen Du, Yifeng Bu, Imanuel R. Lerman, Radhika Madhavan, Truong Q. Nguyen. embc 2021: 3322-3327 [doi]

2020

Computationally Efficient Phase Shift Plus Interpolation Seismic Migration MethodWail A. Mousa, Abdullah F. Al-Battal. lgrs, 17(5):775-778, 2020. [doi]

2017

The Design of 2-D Explicit Depth Extrapolators Using the Cauchy NormAbdullah F. Al-Battal, Wail A. Mousa. tgrs, 55(5):3029-3036, 2017. [doi]

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