most citedSFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size

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eess.IV2023★ 1 cited

SFCNeXt: a simple fully convolutional network for effective brain age estimation with small sample size

Yu Fu, Yanyan Huang, Shunjie Dong +4

Deep neural networks (DNN) have been designed to predict the chronological age of a healthy brain from T1-weighted magnetic resonance images (T1 MRIs), and the predicted brain age…

eess.IV2022

Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation

Wenhui Zhu, Peijie Qiu, Natasha Lepore +2

Lesion appearance is a crucial clue for medical providers to distinguish referable diabetic retinopathy (rDR) from non-referable DR. Most existing large-scale DR datasets contain o…