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ORCIDShahad Hardan
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2020 – today
- 2025
[c3]Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub:
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. MICCAI (3) 2025: 204-213- [i8]Numan Saeed, Shahad Hardan, Muhammad Ridzuan, Nada Saadi, Karthik Nandakumar, Mohammad Yaqub:
Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis. CoRR abs/2504.13645 (2025) - [i7]Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sallé, Luyi Han, Ziyuan Zhao, Han Liu, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria G. Baldeon Calisto, Shaikh Muhammad Uzair Noman, Cancan Chen, Ipek Oguz, Rongguo Zhang, Mina Rezaei, Susana K. Lai-Yuen, Satoshi Kasai, Chih-Cheng Hung, Mohammad Yaqub, Lisheng Wang, Benoit M. Dawant, Cuntai Guan, Ritse Mann, Vincent Jaouen, Ji-Wung Han, Li Zhang, Jonathan Shapey, Tom Vercauteren:
crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. CoRR abs/2506.12006 (2025) - [i6]Shahad Hardan, Darya Taratynova, Abdelmajid Essofi, Karthik Nandakumar, Mohammad Yaqub:
Forget-MI: Machine Unlearning for Forgetting Multimodal Information in Healthcare Settings. CoRR abs/2506.23145 (2025) - [i5]Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub:
A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. CoRR abs/2509.00367 (2025) - 2023
- [i4]Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub:
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. CoRR abs/2303.07093 (2023) - [i3]Mugariya Farooq, Shahad Hardan, Aigerim Zhumbhayeva, Yujia Zheng, Preslav Nakov, Kun Zhang:
Understanding Breast Cancer Survival: Using Causality and Language Models on Multi-omics Data. CoRR abs/2305.18410 (2023) - 2022
- [c2]Shahad Hardan, Hussain Alasmawi, Xiangjian Hou, Mohammad Yaqub:
Weakly Unsupervised Domain Adaptation for Vestibular Schwannoma Segmentation. BrainLes@MICCAI (2) 2022: 90-99 - [c1]Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub:
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? MIDL 2022: 1005-1018 - [i2]Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, Mohammad Yaqub:
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models? CoRR abs/2201.06086 (2022) - [i1]Nicolas Avila, Shahad Hardan, Elnura Zhalieva, Moayad Aloqaily, Mohsen Guizani:
Energy Pricing in P2P Energy Systems Using Reinforcement Learning. CoRR abs/2210.13555 (2022)
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