Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure
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Dive into the research topics where Abdullah Al-Battal is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Novel F-Net Model for Robust Breast Tumor Segmentation Via Transfer Learning
Munir, K., Alsheghri, A. & Al-Battal, A. F., 2025, Proceedings - 2025 IEEE 38th International Symposium on Computer-Based Medical Systems, CBMS 2025. Rodriguez-Gonzalez, A., Sicilia, R., Prieto-Santamaria, L., Papadopoulos, G. A., Guarrasi, V., Cazzolato, M. T. & Kane, B. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 53-56 4 p. (Proceedings - IEEE Symposium on Computer-Based Medical Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Survey of Autonomous Robotic Ultrasound Scanning Systems
Munir, K., Al-Battal, A. F., Alsheghri, A., Becher, H., Noga, M. & Punithakumar, K., 2025, In: IEEE Access. 13, p. 103178-103197 20 p.Research output: Contribution to journal › Review article › peer-review
Open Access4 Scopus citations -
Bone Fracture Detection via GANs-Based Multi-Modal Fusion Technique
Paspuel-Montalvo, E., Munir, K. & Al-Battal, A. F., 2025, Proceedings - 2025 IEEE 38th International Symposium on Computer-Based Medical Systems, CBMS 2025. Rodriguez-Gonzalez, A., Sicilia, R., Prieto-Santamaria, L., Papadopoulos, G. A., Guarrasi, V., Cazzolato, M. T. & Kane, B. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 522-527 6 p. (Proceedings - IEEE Symposium on Computer-Based Medical Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
Enhanced Small Liver Lesion Detection and Segmentation Using a Size-Focused Multi-model Approach in CT Scans
Al-Battal, A. F., Tang, V. H., Truong, S. Q. H., Nguyen, T. Q. & An, C., 2025, Machine Learning in Medical Imaging - 15th International Workshop, MLMI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Xu, X., Cui, Z., Sun, K., Rekik, I. & Ouyang, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 320-330 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15241 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Enhancing lesion detection in liver and kidney CT scans via lesion mask selection from two models: A main model and a model focused on small lesions
Al-Battal, A. F., Tang, V. H., Tran, Q. D., Truong, S. Q. H., Phan, C., Nguyen, T. Q. & An, C., Mar 2025, In: Computers in Biology and Medicine. 186, 109602.Research output: Contribution to journal › Article › peer-review
7 Scopus citations