65 citations · 72 across the 7 of their papers we have counts for
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eess.IV2022
Segmentation Ability Map: Interpret deep features for medical image segmentation
Sheng He, Yanfang Feng, P. Ellen Grant +1
Deep convolutional neural networks (CNNs) have been widely used for medical image segmentation. In most studies, only the output layer is exploited to compute the final segmentatio…
physics.med-ph2022★ 2 cited
Time-efficient, High Resolution 3T Whole Brain Quantitative Relaxometry using 3D-QALAS with Wave-CAIPI Readouts
Jaejin Cho, Borjan Gagoski, Tae Hyung Kim +9
Purpose: Volumetric, high-resolution, quantitative mapping of brain tissue relaxation properties is hindered by long acquisition times and signal-to-noise (SNR) challenges. This st…