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Junhao Wen

Showing results (51-60 of 86) with videos related to

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Medical Image Analysis|June 28, 2024
Interpretable deep clustering survival machines for Alzheimer's disease subtype discoveryBojian Hou, Zixuan Wen, Jingxuan Bao, et al.
Neuroimage|August 22, 2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET dataJorge Samper-González, Ninon Burgos, Simona Bottani, et al.
Nature Medicine|October 16, 2025
MRI-based multi-organ clocks for healthy aging and disease assessment, Huizi Cao, Zhiyuan Song, et al.
Medical Image Analysis|October 22, 2020
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical reviewManon Ansart, Stéphane Epelbaum, Giulia Bassignana, et al.
Biotech (Basel (Switzerland))|November 24, 2025
Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome PredictionAnh T Tran, Junhao Wen, Gaby Abou Karam, et al.
Nature Communications|December 4, 2021
A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structureZhijian Yang, Ilya M Nasrallah, Haochang Shou, et al.
Medrxiv : the Preprint Server for Health Sciences|July 17, 2025
Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics, Huizi Cao, Zhiyuan Song, et al.
Ebiomedicine|May 28, 2025
Radiomic and proteomic signatures of body mass index on brain ageing and Alzheimer's-like patterns of brain atrophyFilippos Anagnostakis, Michail Kokkorakis, Keenan A Walker, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2023
Neuroimaging-AI endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disordersJunhao Wen, Ioanna Skampardoni, Ye Ella Tian, et al.
Nature Biomedical Engineering|June 6, 2025
Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disordersJunhao Wen, Ioanna Skampardoni, Ye Ella Tian, et al.
Pageof 9

Showing results (51-60 of 86) with videos related to

Sort By:
Pageof 9
Medical Image Analysis|June 28, 2024
Interpretable deep clustering survival machines for Alzheimer's disease subtype discoveryBojian Hou, Zixuan Wen, Jingxuan Bao, et al.
Neuroimage|August 22, 2018
Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET dataJorge Samper-González, Ninon Burgos, Simona Bottani, et al.
Nature Medicine|October 16, 2025
MRI-based multi-organ clocks for healthy aging and disease assessment, Huizi Cao, Zhiyuan Song, et al.
Medical Image Analysis|October 22, 2020
Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical reviewManon Ansart, Stéphane Epelbaum, Giulia Bassignana, et al.
Biotech (Basel (Switzerland))|November 24, 2025
Comparing Handcrafted Radiomics Versus Latent Deep Learning Features of Admission Head CT for Hemorrhagic Stroke Outcome PredictionAnh T Tran, Junhao Wen, Gaby Abou Karam, et al.
Nature Communications|December 4, 2021
A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structureZhijian Yang, Ilya M Nasrallah, Haochang Shou, et al.
Medrxiv : the Preprint Server for Health Sciences|July 17, 2025
Multi-organ MRI digitizes biological aging clocks across proteomics, metabolomics, and genetics, Huizi Cao, Zhiyuan Song, et al.
Ebiomedicine|May 28, 2025
Radiomic and proteomic signatures of body mass index on brain ageing and Alzheimer's-like patterns of brain atrophyFilippos Anagnostakis, Michail Kokkorakis, Keenan A Walker, et al.
Medrxiv : the Preprint Server for Health Sciences|September 4, 2023
Neuroimaging-AI endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disordersJunhao Wen, Ioanna Skampardoni, Ye Ella Tian, et al.
Nature Biomedical Engineering|June 6, 2025
Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disordersJunhao Wen, Ioanna Skampardoni, Ye Ella Tian, et al.
Pageof 9