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Showing results (501-510 of 514) with videos related to

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European Journal of Radiology|April 13, 2021
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health recordsKuang Gong, Dufan Wu, Chiara Daniela Arru, et al.
IEEE Journal of Biomedical and Health Informatics|October 12, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak LabelsDufan Wu, Kuang Gong, Chiara Daniela Arru, et al.
Diagnostics (Basel, Switzerland)|June 10, 2023
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing FrameworkArun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Eclinicalmedicine|June 7, 2024
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping reviewManasvi Singh, Ashish Kumar, Narendra N Khanna, et al.
Healthcare (Basel, Switzerland)|December 23, 2022
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. TreatmentNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology|December 24, 2025
A Phase II, Randomized, open-label study to evaluate low-dose Pembrolizumab plus Chemotherapy vs Chemotherapy as Neoadjuvant Therapy for localized Triple Negative Breast Cancer (TNBC). [PLANeT Trial - Pembrolizumab Low Dose in Addition to NACT in TNBC]A Arora, H Bhaskarane, G Tansir, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed TomographyJasjit S Suri, Sushant Agarwal, Pranav Elavarthi, et al.
Nature Medicine|August 20, 2025
AI-based diagnosis of acute aortic syndrome from noncontrast CTYujian Hu, Yilang Xiang, Yan-Jie Zhou, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
COVLIAS 1.0<sub>Lesion</sub> vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Pageof 52

Showing results (501-510 of 514) with videos related to

Sort By:
Pageof 52
European Journal of Radiology|April 13, 2021
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health recordsKuang Gong, Dufan Wu, Chiara Daniela Arru, et al.
IEEE Journal of Biomedical and Health Informatics|October 12, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak LabelsDufan Wu, Kuang Gong, Chiara Daniela Arru, et al.
Diagnostics (Basel, Switzerland)|June 10, 2023
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing FrameworkArun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Eclinicalmedicine|June 7, 2024
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping reviewManasvi Singh, Ashish Kumar, Narendra N Khanna, et al.
Healthcare (Basel, Switzerland)|December 23, 2022
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. TreatmentNarendra N Khanna, Mahesh A Maindarkar, Vijay Viswanathan, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology|December 24, 2025
A Phase II, Randomized, open-label study to evaluate low-dose Pembrolizumab plus Chemotherapy vs Chemotherapy as Neoadjuvant Therapy for localized Triple Negative Breast Cancer (TNBC). [PLANeT Trial - Pembrolizumab Low Dose in Addition to NACT in TNBC]A Arora, H Bhaskarane, G Tansir, et al.
Diagnostics (Basel, Switzerland)|November 27, 2021
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed TomographyJasjit S Suri, Sushant Agarwal, Pranav Elavarthi, et al.
Nature Medicine|August 20, 2025
AI-based diagnosis of acute aortic syndrome from noncontrast CTYujian Hu, Yilang Xiang, Yan-Jie Zhou, et al.
Diagnostics (Basel, Switzerland)|May 28, 2022
COVLIAS 1.0<sub>Lesion</sub> vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Diagnostics (Basel, Switzerland)|June 24, 2022
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography ScansJasjit S Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Pageof 52