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eess.IV2022★ 1 cited
Does Medical Imaging learn different Convolution Filters?
Paul Gavrikov, Janis Keuper
Recent work has investigated the distributions of learned convolution filters through a large-scale study containing hundreds of heterogeneous image models. Surprisingly, on averag…
eess.IV2022★ 3 cited
Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal
Ricard Durall, Ammar Ghanim, Norman Ettrich +1
Seismic processing often requires suppressing multiples that appear when collecting data. To tackle these artifacts, practitioners usually rely on Radon transform-based algorithms…