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Azka Rehman

As seen in: arXiv, MDPI
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Articles by Azka Rehman

[2512.12662] Anatomy-Guided Representation Learning Using a Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images

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By Muhammad Umar, Abd Ur, Abd Ur Rehman, Azka Rehman
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2412.05632] Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages

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By Abd Ur, Azka Rehman, Muhammad Usman, Abdullah Shahid
| arXiv
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Drivers of Nutritional Change in Pakistan: A Decomposition Analysis

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By Azka Rehman, Ping Qing, Xia Cui
| MDPI
Author / Affiliation / Email Search Type Submit to this Journal Review for this Journal Edit a Special Issue Article Menu /ajax/scifeed/subscribe Altmetric share Share announcement Help format_quote Cite thumb_up ... Endorse textsms ... Comment Need Help? Support Find support for a specific problem in the support section of our website. Get Support Feedback Please let us know what you think of our products and services.
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Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation

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By Azka Rehman, Muhammad Usman, Abdullah Shahid, Siddique Latif
| MDPI
Open AccessArticle by Azka Rehman 1, Muhammad Usman 2, Abdullah Shahid 1, Siddique Latif 3,* and Junaid Qadir 4 1 Center for Artificial Intelligence in Medicine and Imaging, HealthHub Co., Ltd., Seoul 06524, Republic of Korea 2 Department of Computer Science and Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea 3 Faculty of Health, Engineering and Sciences, University of Southern Queensland, Springfield 4300, Australia 4 Department of Computer...
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Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans

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By Muhammad Usman, Shi-Sub Byon, Byoung-Dai Lee, Azka Rehman
| MDPI
Altmetric share Share announcement Help format_quote Cite thumb_up ... Endorse textsms ... Comment Need Help? Support Find support for a specific problem in the support section of our website. Get Support Feedback Please let us know what you think of our products and services. Give Feedback Information Visit our dedicated information section to learn more about MDPI.
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