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20202022
most citedDemystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization

9 citations · 27 across the 8 of their papers we have counts for

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eess.IV2022

GLEAM: Greedy Learning for Large-Scale Accelerated MRI Reconstruction

Batu Ozturkler, Arda Sahiner, Tolga Ergen +6

Unrolled neural networks have recently achieved state-of-the-art accelerated MRI reconstruction. These networks unroll iterative optimization algorithms by alternating between phys…

eess.IV2022★ 1 cited

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction

Beliz Gunel, Arda Sahiner, Arjun D. Desai +4

Unrolled neural networks have enabled state-of-the-art reconstruction performance and fast inference times for the accelerated magnetic resonance imaging (MRI) reconstruction task.…