3 citations · 4 across the 2 of their papers we have counts for
4 papers
Segmentation of Defective Skulls from CT Data for Tissue Modelling
Oldřich Kodym, Michal Španěl, Adam Herout
In this work we present a method of automatic segmentation of defective skulls for custom cranial implant design and 3D printing purposes. Since such tissue models are usually requ…
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss
Oldřich Kodym, Michal Španěl, Adam Herout
This paper deals with segmentation of organs at risk (OAR) in head and neck area in CT images which is a crucial step for reliable intensity modulated radiotherapy treatment. We in…
CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR
Martin Velas, Michal Spanel, Michal Hradis +1
We introduce a novel method for odometry estimation using convolutional neural networks from 3D LiDAR scans. The original sparse data are encoded into 2D matrices for the training…
CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data
Martin Velas, Michal Spanel, Michal Hradis +1
This paper presents a novel method for ground segmentation in Velodyne point clouds. We propose an encoding of sparse 3D data from the Velodyne sensor suitable for training a convo…