96 citations · 187 across the 4 of their papers we have counts for
4 papers
Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks
Martin Kolarik, Radim Burget, Kamil Riha
The widespread use of Batch Normalization has enabled training deeper neural networks with more stable and faster results. However, the Batch Normalization works best using large b…
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation
Martin Kolarik, Radim Burget, Carlos M. Travieso-Gonzalez +1
We present a novel approach of 2D to 3D transfer learning based on mapping pre-trained 2D convolutional neural network weights into planar 3D kernels. The method is validated by th…
Towards Robust Voice Pathology Detection
Pavol Harar, Zoltan Galaz, Jesus B. Alonso-Hernandez +3
Automatic objective non-invasive detection of pathological voice based on computerized analysis of acoustic signals can play an important role in early diagnosis, progression track…
Voice Pathology Detection Using Deep Learning: a Preliminary Study
Pavol Harar, Jesus B. Alonso-Hernandez, Jiri Mekyska +3
This paper describes a preliminary investigation of Voice Pathology Detection using Deep Neural Networks (DNN). We used voice recordings of sustained vowel /a/ produced at normal p…