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20192022
most citedQuantitative Susceptibility Inversion Through Parcellated Multiresolution Neural Networks and K-Space Substitution

6 citations · 21 across the 7 of their papers we have counts for

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cs.CV2022★ 2 cited

Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification

Peng Jiang, Juan Liu, Lang Wang +3

Labeling medical images depends on professional knowledge, making it difficult to acquire large amount of annotated medical images with high quality in a short time. Thus, making g…

cs.CV2021

Improved Padding in CNNs for Quantitative Susceptibility Mapping

Juan Liu

Recently, deep learning methods have been proposed for quantitative susceptibility mapping (QSM) data processing: background field removal, field-to-source inversion, and single-st…