Search research articles
Contact Us
Filters
Showing results (11-20 of 34) with videos related to
Page
of 4
Sort By:
Neuroimage
|
February 2, 2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study
Zhen Zhou, Hongming Li, Dhivya Srinivasan, et al.
Nature Communications
|
March 24, 2024
The genetic architecture of multimodal human brain age
Junhao Wen, Bingxin Zhao, Zhijian Yang, et al.
Biorxiv : the Preprint Server for Biology
|
June 19, 2023
The Genetic Architecture of Multimodal Human Brain Age
Junhao Wen, Bingxin Zhao, Zhijian Yang, et al.
Brain Communications
|
May 25, 2022
Disentangling Alzheimer's disease neurodegeneration from typical brain ageing using machine learning
Gyujoon Hwang, Ahmed Abdulkadir, Guray Erus, et al.
Scientific Reports
|
February 28, 2024
Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach
Jun Guo, Anahita Fathi Kazerooni, Erik Toorens, et al.
Cancer
|
March 5, 2020
Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma
Hamed Akbari, Saima Rathore, Spyridon Bakas, et al.
Scientific Reports
|
May 24, 2022
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens, et al.
Communications Medicine
|
March 2, 2025
The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers
Anahita Fathi Kazerooni, Hamed Akbari, Xiaoju Hu, et al.
JAMA Psychiatry
|
March 9, 2022
Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression
Junhao Wen, Cynthia H Y Fu, Duygu Tosun, et al.
Nature Communications
|
January 8, 2024
Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 34) with videos related to
Sort By:
Page
of 4
Neuroimage
|
February 2, 2023
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study
Zhen Zhou, Hongming Li, Dhivya Srinivasan, et al.
Nature Communications
|
March 24, 2024
The genetic architecture of multimodal human brain age
Junhao Wen, Bingxin Zhao, Zhijian Yang, et al.
Biorxiv : the Preprint Server for Biology
|
June 19, 2023
The Genetic Architecture of Multimodal Human Brain Age
Junhao Wen, Bingxin Zhao, Zhijian Yang, et al.
Brain Communications
|
May 25, 2022
Disentangling Alzheimer's disease neurodegeneration from typical brain ageing using machine learning
Gyujoon Hwang, Ahmed Abdulkadir, Guray Erus, et al.
Scientific Reports
|
February 28, 2024
Integrating imaging and genomic data for the discovery of distinct glioblastoma subtypes: a joint learning approach
Jun Guo, Anahita Fathi Kazerooni, Erik Toorens, et al.
Cancer
|
March 5, 2020
Histopathology-validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo-progression in glioblastoma
Hamed Akbari, Saima Rathore, Spyridon Bakas, et al.
Scientific Reports
|
May 24, 2022
Clinical measures, radiomics, and genomics offer synergistic value in AI-based prediction of overall survival in patients with glioblastoma
Anahita Fathi Kazerooni, Sanjay Saxena, Erik Toorens, et al.
Communications Medicine
|
March 2, 2025
The radiogenomic and spatiogenomic landscapes of glioblastoma and their relationship to oncogenic drivers
Anahita Fathi Kazerooni, Hamed Akbari, Xiaoju Hu, et al.
JAMA Psychiatry
|
March 9, 2022
Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression
Junhao Wen, Cynthia H Y Fu, Duygu Tosun, et al.
Nature Communications
|
January 8, 2024
Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, et al.
Page
of 4