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Narges Razavian

Showing results (1-10 of 32) with videos related to

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Nature Medicine|September 11, 2019
Augmented reality microscopes for cancer histopathologyNarges Razavian
Seminars in Musculoskeletal Radiology|January 29, 2020
Artificial Intelligence Explained for NonexpertsNarges Razavian, Florian Knoll, Krzysztof J Geras
Frontiers in Aging Neuroscience|April 7, 2023
On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer's disease and Lewy body diseaseHui Wei, Arjun V Masurkar, Narges Razavian
Cell Reports. Medicine|October 8, 2021
Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning modelsRunyu Hong, Wenke Liu, Deborah DeLair, et al.
Neuroradiology|July 29, 2022
Deep multi-task learning and random forest for series classification by pulse sequence type and orientationNoah Kasmanoff, Matthew D Lee, Narges Razavian, et al.
AJR. American Journal of Roentgenology|October 18, 2018
State of the Art: Machine Learning Applications in Glioma ImagingEyal Lotan, Rajan Jain, Narges Razavian, et al.
Nature Cancer|February 5, 2022
Artificial intelligence and cancerOlga Troyanskaya, Zlatko Trajanoski, Anne Carpenter, et al.
Big Data|July 22, 2016
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk FactorsNarges Razavian, Saul Blecker, Ann Marie Schmidt, et al.
Research Square|June 29, 2026
Advanced Multimodal AI for Predicting Long-Term Functional Outcomes After Ischemic Stroke Using Only Admission DataFiona McBride, Haoxu Huang, Anjali Kiran Kapoor, et al.
Scientific Reports|October 17, 2022
Generalizable deep learning model for early Alzheimer's disease detection from structural MRIsSheng Liu, Arjun V Masurkar, Henry Rusinek, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Nature Medicine|September 11, 2019
Augmented reality microscopes for cancer histopathologyNarges Razavian
Seminars in Musculoskeletal Radiology|January 29, 2020
Artificial Intelligence Explained for NonexpertsNarges Razavian, Florian Knoll, Krzysztof J Geras
Frontiers in Aging Neuroscience|April 7, 2023
On gaps of clinical diagnosis of dementia subtypes: A study of Alzheimer's disease and Lewy body diseaseHui Wei, Arjun V Masurkar, Narges Razavian
Cell Reports. Medicine|October 8, 2021
Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning modelsRunyu Hong, Wenke Liu, Deborah DeLair, et al.
Neuroradiology|July 29, 2022
Deep multi-task learning and random forest for series classification by pulse sequence type and orientationNoah Kasmanoff, Matthew D Lee, Narges Razavian, et al.
AJR. American Journal of Roentgenology|October 18, 2018
State of the Art: Machine Learning Applications in Glioma ImagingEyal Lotan, Rajan Jain, Narges Razavian, et al.
Nature Cancer|February 5, 2022
Artificial intelligence and cancerOlga Troyanskaya, Zlatko Trajanoski, Anne Carpenter, et al.
Big Data|July 22, 2016
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk FactorsNarges Razavian, Saul Blecker, Ann Marie Schmidt, et al.
Research Square|June 29, 2026
Advanced Multimodal AI for Predicting Long-Term Functional Outcomes After Ischemic Stroke Using Only Admission DataFiona McBride, Haoxu Huang, Anjali Kiran Kapoor, et al.
Scientific Reports|October 17, 2022
Generalizable deep learning model for early Alzheimer's disease detection from structural MRIsSheng Liu, Arjun V Masurkar, Henry Rusinek, et al.
Pageof 4