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Keyvan Farahani

Showing results (41-50 of 65) with videos related to

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Arxiv|April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and RecommendationsDavid A Clunie, Adam Flanders, Adam Taylor, et al.
Neuroimage|February 13, 2010
Nanoplatforms for constructing new approaches to cancer treatment, imaging, and drug delivery: what should be the policy?Babak Kateb, Katherine Chiu, Keith L Black, et al.
Radiology. Artificial Intelligence|December 6, 2021
Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 RadiologistsColin Jacobs, Arnaud A A Setio, Ernst T Scholten, et al.
Frontiers in Neuroscience|March 11, 2020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning ApproachesTahsin Kurc, Spyridon Bakas, Xuhua Ren, et al.
Gastrointestinal Endoscopy|April 29, 2020
Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy SummitSravanthi Parasa, Michael Wallace, Ulas Bagci, et al.
Neuroimage|July 24, 2007
Challenges in image-guided therapy system designSimon Dimaio, Tina Kapur, Kevin Cleary, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Cancer Research|March 15, 2024
NCI Cancer Research Data Commons: Resources to Share Key Cancer DataZhining Wang, Tanja M Davidsen, Gina R Kuffel, et al.
Cancer Research|June 29, 2021
NCI Imaging Data CommonsAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Pageof 7

Showing results (41-50 of 65) with videos related to

Sort By:
Pageof 7
Arxiv|April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and RecommendationsDavid A Clunie, Adam Flanders, Adam Taylor, et al.
Neuroimage|February 13, 2010
Nanoplatforms for constructing new approaches to cancer treatment, imaging, and drug delivery: what should be the policy?Babak Kateb, Katherine Chiu, Keith L Black, et al.
Radiology. Artificial Intelligence|December 6, 2021
Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 RadiologistsColin Jacobs, Arnaud A A Setio, Ernst T Scholten, et al.
Frontiers in Neuroscience|March 11, 2020
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning ApproachesTahsin Kurc, Spyridon Bakas, Xuhua Ren, et al.
Gastrointestinal Endoscopy|April 29, 2020
Proceedings from the First Global Artificial Intelligence in Gastroenterology and Endoscopy SummitSravanthi Parasa, Michael Wallace, Ulas Bagci, et al.
Neuroimage|July 24, 2007
Challenges in image-guided therapy system designSimon Dimaio, Tina Kapur, Kevin Cleary, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|November 24, 2023
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial IntelligenceAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Medical Image Analysis|May 22, 2024
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challengeKendall Schmidt, Benjamin Bearce, Ken Chang, et al.
Cancer Research|March 15, 2024
NCI Cancer Research Data Commons: Resources to Share Key Cancer DataZhining Wang, Tanja M Davidsen, Gina R Kuffel, et al.
Cancer Research|June 29, 2021
NCI Imaging Data CommonsAndrey Fedorov, William J R Longabaugh, David Pot, et al.
Pageof 7