Autonomous Decentralized Privacy-Enabled Data Preparation Architecture for Multicenter Clinical Observational Research. - Khalid Mahmood 003; Varun Sathyan; Hisham Kanaan; Ghaus M. Malik; Hafiz Malik (ISADS, 2017)

Impact of Size, Location, Symptomatic-Nature and Gender on the Rupture of Saccular Intracranial Aneurysms. - Khalid Mahmood Malik; Madan Krishnamurthy; Pawel Marcinek; Ghaus M. Malik (ASONAM, 2018)

Saccular Brain Aneurysm Detection and Multiclassifier Rupture Prediction using Digital Subtraction and Magnetic Resonance Angiograms. - Shakeel M. Anjum; Khalid Mahmood Malik; Hamid Soltanian-Zadeh; Hafiz Malik; Ghaus M. Malik (ICBBE, 2018)

A Framework for Intracranial Saccular Aneurysm Detection and Quantification using Morphological Analysis of Cerebral Angiograms. - Khalid Mahmood Malik; Shakeel M. Anjum; Hamid Soltanian-Zadeh; Hafiz Malik; Ghaus M. Malik (IEEE Access, 2018)

Autonomous, Decentralized and Privacy-Enabled Data Preparation for Evidence-Based Medicine with Brain Aneurysm as a Phenotype. - Khalid Mahmood Malik; Hisham Kanaan; Vian Sabeeh; Ghaus M. Malik (IEICE Trans. Commun., 2018)

Automated domain-specific healthcare knowledge graph curation framework: Subarachnoid hemorrhage as phenotype. - Khalid Mahmood Malik; Madan Krishnamurthy; Mazen Alobaidi; Maqbool Hussain; Fakhare Alam; Ghaus M. Malik (Expert Syst. Appl., 2020)

A Diagnostic System for Intracranial Saccular and Fusiform Aneurysms with Location Detection. - Yousra Zafar; Ali Javed; Khalid Mahmood Malik; Jeremy Santamaria; Ghaus M. Malik (BHI, 2021)

StrokeNet: An automated approach for segmentation and rupture risk prediction of intracranial aneurysm. - Muhammad Irfan; Khalid Mahmood Malik; Jamil Ahmad; Ghaus M. Malik (Comput. Medical Imaging Graph., 2023)

DeepInfusion: A dynamic infusion based-neuro-symbolic AI model for segmentation of intracranial aneurysms. - Iram Abdullah; Ali Javed; Khalid Mahmood Malik; Ghaus M. Malik (Neurocomputing, 2023)