4 papers
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…
Knowledge Distillation for Brain Tumor Segmentation
Dmitrii Lachinov, Elena Shipunova, Vadim Turlapov
The segmentation of brain tumors in multimodal MRIs is one of the most challenging tasks in medical image analysis. The recent state of the art algorithms solving this task is base…
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,…