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Farzad Khalvati

Showing results (1-10 of 80) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Automated consensus contour building for prostate MRIFarzad Khalvati
Frontiers in Radiology|July 26, 2023
Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIsSajith Rajapaksa, Farzad Khalvati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled DataSaman Motamed, Farzad Khalvati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-raysSaman Motamed, Farzad Khalvati
Neuro-Oncology|October 25, 2021
The data behind the image-Deep learning and its potential impact in neuro-oncological imagingBirgit Ertl-Wagner, Farzad Khalvati
Journal of Medical Internet Research|June 22, 2022
Exploring COVID-19-Related Stressors: Topic Modeling StudyYue Tong Leung, Farzad Khalvati
Resuscitation|July 23, 2025
Seeing beyond the scan: artificial intelligence and the future of detecting hypoxic-ischemic brain injury in childrenBarnaby R Scholefield, Farzad Khalvati
Informatics in Medicine Unlocked|November 29, 2021
Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray imagesSaman Motamed, Patrik Rogalla, Farzad Khalvati
Scientific Reports|April 22, 2021
RANDGAN: Randomized generative adversarial network for detection of COVID-19 in chest X-raySaman Motamed, Patrik Rogalla, Farzad Khalvati
Frontiers in Artificial Intelligence|December 17, 2021
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into AccountKhashayar Namdar, Masoom A Haider, Farzad Khalvati
Pageof 8

Showing results (1-10 of 80) with videos related to

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Pageof 8
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Automated consensus contour building for prostate MRIFarzad Khalvati
Frontiers in Radiology|July 26, 2023
Relevance maps: A weakly supervised segmentation method for 3D brain tumours in MRIsSajith Rajapaksa, Farzad Khalvati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled DataSaman Motamed, Farzad Khalvati
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-raysSaman Motamed, Farzad Khalvati
Neuro-Oncology|October 25, 2021
The data behind the image-Deep learning and its potential impact in neuro-oncological imagingBirgit Ertl-Wagner, Farzad Khalvati
Journal of Medical Internet Research|June 22, 2022
Exploring COVID-19-Related Stressors: Topic Modeling StudyYue Tong Leung, Farzad Khalvati
Resuscitation|July 23, 2025
Seeing beyond the scan: artificial intelligence and the future of detecting hypoxic-ischemic brain injury in childrenBarnaby R Scholefield, Farzad Khalvati
Informatics in Medicine Unlocked|November 29, 2021
Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray imagesSaman Motamed, Patrik Rogalla, Farzad Khalvati
Scientific Reports|April 22, 2021
RANDGAN: Randomized generative adversarial network for detection of COVID-19 in chest X-raySaman Motamed, Patrik Rogalla, Farzad Khalvati
Frontiers in Artificial Intelligence|December 17, 2021
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into AccountKhashayar Namdar, Masoom A Haider, Farzad Khalvati
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