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Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data., , , , , , and . ICIP, page 180-184. IEEE, (2021)Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction., , , , , , and . CoRR, (2022)HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information., , , , , and . CoRR, (2022)A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices., , and . EUSIPCO, page 1362-1366. IEEE, (2022)Joint optimization of maintenance policy and inspection interval for a multi-unit series system using proportional hazards model., , and . JORS, 69 (1): 36-48 (2018)Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions., and . ICPHM, page 1-6. IEEE, (2020)Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study., , and . Reliab. Eng. Syst. Saf., (2022)COVID-19 Low-Dose and Ultra-Low-Dose CT Scans., , , , , , , , , and . (June 2021)Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks., , , , , , and . ICASSP, page 1040-1044. IEEE, (2021)HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information., , , , , and . ICASSP, page 1-5. IEEE, (2023)