30 citations · 31 across the 3 of their papers we have counts for
4 papers
SeismiQB -- a novel framework for deep learning with seismic data
Alexander Koryagin, Roman Khudorozhkov, Sergey Tsimfer +1
In recent years, Deep Neural Networks were successfully adopted in numerous domains to solve various image-related tasks, ranging from simple classification to fine borders annotat…
Seismic horizon detection with neural networks
Alexander Koryagin, Darima Mylzenova, Roman Khudorozhkov +1
Over the last few years, Convolutional Neural Networks (CNNs) were successfully adopted in numerous domains to solve various image-related tasks, ranging from simple classification…
PyDEns: a Python Framework for Solving Differential Equations with Neural Networks
Alexander Koryagin, Roman Khudorozkov, Sergey Tsimfer
Recently, a lot of papers proposed to use neural networks to approximately solve partial differential equations (PDEs). Yet, there has been a lack of flexible framework for conveni…
Clearing noisy annotations for computed tomography imaging
Roman Khudorozhkov, Alexander Koryagin, Alexey Kozhevin
One of the problems on the way to successful implementation of neural networks is the quality of annotation. For instance, different annotators can annotate images in a different w…