Search Results for author: Dmitry Lachinov

Found 4 papers, 2 papers with code

Cephalometric Landmark Regression with Convolutional Neural Networks on 3D Computed Tomography Data

no code implementations20 Jul 2020 Dmitry Lachinov, Alexandra Getmanskaya, Vadim Turlapov

In this paper, we provide a wide overview of existing approaches for cephalometric landmark regression.

CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

1 code implementation17 Jan 2020 A. Emre Kavur, N. Sinem Gezer, Mustafa Barış, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, Bora Baydar, Dmitry Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde BOZDAĞI AKAR, Gözde Ünal, Oğuz Dicle, M. Alper Selver

The analysis shows that the performance of DL models for single modality (CT / MR) can show reliable volumetric analysis performance (DICE: 0. 98 $\pm$ 0. 00 / 0. 95 $\pm$ 0. 01) but the best MSSD performance remain limited (21. 89 $\pm$ 13. 94 / 20. 85 $\pm$ 10. 63 mm).

The Coherent Point Drift for Clustered Point Sets

no code implementations14 Dec 2018 Dmitry Lachinov, Vadim Turlapov

We evaluate our approach and compare the Cluster Coherent Point Drift with other existing non-rigid point set registration methods and show it's advantages for digital medicine tasks, especially for heart template model personalization using patient's medical data.

Glioma Segmentation with Cascaded Unet

1 code implementation9 Oct 2018 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.

Brain Tumor Segmentation Object Detection +1

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