Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Albert Montillo

Showing results (31-40 of 44) with videos related to

Pageof 5
Sort By:
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 29, 2019
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to ElectrooculographyPrabhat Garg, Elizabeth Davenport, Gowtham Murugesan, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 20, 2019
Deep Learning Convolutional Neural Networks for the Estimation of Liver Fibrosis Severity from Ultrasound TextureAlex Treacher, Daniel Beauchamp, Bilal Quadri, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Automatic Identification of Successful Memory Encoding in Stereo EEG of Refractory, Mesial Temporal Lobe EpilepsyAfarin Famili, Gowtham Krishnan, Elizabeth Davenport, et al.
Research Square|February 6, 2026
Anatomically constrained liver CT anomaly detection using healthy priors with diffusion-based inpaintingEshan Joshi, Yongyi Shi, Albert Montillo, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|November 12, 2019
Predicting Response to the Antidepressant Bupropion using Pretreatment fMRIKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 26, 2021
Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep LearningKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Medical Physics|May 17, 2015
Acquisition, preprocessing, and reconstruction of ultralow dose volumetric CT scout for organ-based CT scan planningZhye Yin, Yangyang Yao, Albert Montillo, et al.
Radiology. Imaging Cancer|April 12, 2024
Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural NetworkDogan S Polat, Son Nguyen, Paniz Karbasi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 26, 2021
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNNSon Nguyen, Dogan Polat, Paniz Karbasi, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposureGowtham Murugesan, Afarin Famili, Elizabeth Davenport, et al.
Pageof 5

Showing results (31-40 of 44) with videos related to

Sort By:
Pageof 5
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 29, 2019
Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to ElectrooculographyPrabhat Garg, Elizabeth Davenport, Gowtham Murugesan, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 20, 2019
Deep Learning Convolutional Neural Networks for the Estimation of Liver Fibrosis Severity from Ultrasound TextureAlex Treacher, Daniel Beauchamp, Bilal Quadri, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Automatic Identification of Successful Memory Encoding in Stereo EEG of Refractory, Mesial Temporal Lobe EpilepsyAfarin Famili, Gowtham Krishnan, Elizabeth Davenport, et al.
Research Square|February 6, 2026
Anatomically constrained liver CT anomaly detection using healthy priors with diffusion-based inpaintingEshan Joshi, Yongyi Shi, Albert Montillo, et al.
Predictive Intelligence in Medicine. PRIME (Workshop)|November 12, 2019
Predicting Response to the Antidepressant Bupropion using Pretreatment fMRIKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Proceedings of Spie--The International Society for Optical Engineering|March 26, 2021
Anatomically-Informed Data Augmentation for Functional MRI with Applications to Deep LearningKevin P Nguyen, Cherise Chin Fatt, Alex Treacher, et al.
Medical Physics|May 17, 2015
Acquisition, preprocessing, and reconstruction of ultralow dose volumetric CT scout for organ-based CT scan planningZhye Yin, Yangyang Yao, Albert Montillo, et al.
Radiology. Imaging Cancer|April 12, 2024
Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural NetworkDogan S Polat, Son Nguyen, Paniz Karbasi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 26, 2021
Preoperative Prediction of Lymph Node Metastasis from Clinical DCE MRI of the Primary Breast Tumor Using a 4D CNNSon Nguyen, Dogan Polat, Paniz Karbasi, et al.
Proceedings. IEEE International Symposium on Biomedical Imaging|November 20, 2019
Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposureGowtham Murugesan, Afarin Famili, Elizabeth Davenport, et al.
Pageof 5