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Ghaus M. Malik
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2020 – today
- 2023
- [j5]Muhammad Irfan, Khalid Mahmood Malik, Jamil Ahmad, Ghaus M. Malik:
StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm. Comput. Medical Imaging Graph. 108: 102271 (2023) - [j4]Iram Abdullah, Ali Javed, Khalid Mahmood Malik, Ghaus M. Malik:
DeepInfusion: A dynamic infusion based-neuro-symbolic AI model for segmentation of intracranial aneurysms. Neurocomputing 551: 126510 (2023) - 2021
- [c4]Yousra Zafar, Ali Javed, Khalid Mahmood Malik, Jeremy Santamaria, Ghaus M. Malik:
A Diagnostic System for Intracranial Saccular and Fusiform Aneurysms with Location Detection. BHI 2021: 1-4 - 2020
- [j3]Khalid Mahmood Malik, Madan Krishnamurthy, Mazen Alobaidi, Maqbool Hussain, Fakhare Alam, Ghaus M. Malik:
Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype. Expert Syst. Appl. 145: 113120 (2020)
2010 – 2019
- 2018
- [j2]Khalid Mahmood Malik, Shakeel M. Anjum, Hamid Soltanian-Zadeh, Hafiz Malik, Ghaus M. Malik:
A Framework for Intracranial Saccular Aneurysm Detection and Quantification using Morphological Analysis of Cerebral Angiograms. IEEE Access 6: 7970-7986 (2018) - [j1]Khalid Mahmood Malik, Hisham Kanaan, Vian Sabeeh, Ghaus M. Malik:
Autonomous, Decentralized and Privacy-Enabled Data Preparation for Evidence-Based Medicine with Brain Aneurysm as a Phenotype. IEICE Trans. Commun. 101-B(8): 1787-1797 (2018) - [c3]Khalid Mahmood Malik, Madan Krishnamurthy, Pawel Marcinek, Ghaus M. Malik:
Impact of Size, Location, Symptomatic-Nature and Gender on the Rupture of Saccular Intracranial Aneurysms. ASONAM 2018: 995-1001 - [c2]Shakeel M. Anjum, Khalid Mahmood Malik, Hamid Soltanian-Zadeh, Hafiz Malik, Ghaus M. Malik:
Saccular Brain Aneurysm Detection and Multiclassifier Rupture Prediction using Digital Subtraction and Magnetic Resonance Angiograms. ICBBE 2018: 87-94 - 2017
- [c1]Khalid Mahmood, Varun Sathyan, Hisham Kanaan, Ghaus M. Malik, Hafiz Malik:
Autonomous Decentralized Privacy-Enabled Data Preparation Architecture for Multicenter Clinical Observational Research. ISADS 2017: 114-121
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