831 citations · 861 across the 9 of their papers we have counts for
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Learning Spatio-Temporal Model of Disease Progression with NeuralODEs from Longitudinal Volumetric Data
Dmitrii Lachinov, Arunava Chakravarty, Christoph Grechenig +2
Robust forecasting of the future anatomical changes inflicted by an ongoing disease is an extremely challenging task that is out of grasp even for experienced healthcare profession…
Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data
Dmitry Lachinov, Alexandra Getmanskaya, Vadim Turlapov
In this paper, we address the problem of automatic three-dimensional cephalometric analysis. Cephalometric analysis performed on lateral radiographs doesn't fully exploit the struc…
The Coherent Point Drift for Clustered Point Sets
Dmitry Lachinov, Vadim Turlapov
The problem of non-rigid point set registration is a key problem for many computer vision tasks. In many cases the nature of the data or capabilities of the point detection algorit…
Glioma Segmentation with Cascaded Unet
Dmitry Lachinov, Evgeny Vasiliev, Vadim Turlapov
MRI analysis takes central position in brain tumor diagnosis and treatment, thus it's precise evaluation is crucially important. However, it's 3D nature imposes several challenges,…