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20182024
most citedMRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network

36 citations · 167 across the 20 of their papers we have counts for

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Showing 2021Show all

4 papers · 1 filter

eess.IV2021★ 27 cited

The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients

Bhakti Baheti, Satrajit Chakrabarty, Hamed Akbari +70

Registration of longitudinal brain MRI scans containing pathologies is challenging due to dramatic changes in tissue appearance. Although there has been progress in developing gene…

q-bio.NC2021

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics

Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun +22

Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity would aid in elucidating etiological mechanisms a…

eess.IV2021★ 16 cited

Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Structural Patterns in Alzheimer Disease

Sayantan Kumar, Philip Payne, Aristeidis Sotiras

Normative modelling is an emerging method for understanding the underlying heterogeneity within brain disorders like Alzheimer Disease (AD) by quantifying how each patient deviates…

cs.LG2021

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning

Gyujoon Hwang, Ahmed Abdulkadir, Guray Erus +18

Neuroimaging biomarkers that distinguish between typical brain aging and Alzheimer's disease (AD) are valuable for determining how much each contributes to cognitive decline. Machi…