831 citations · 861 across the 9 of their papers we have counts for
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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…
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış +24
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many years. In the last decade, intensive developments in deep learning (DL) have intr…