User profiles for Radim Burget
 | Radim BurgetAssoc. prof. @ Brno University of Technology Verified email at feec.vutbr.cz Cited by 4251 |
[HTML][HTML] A survey on wearable technology: History, state-of-the-art and current challenges
Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
[HTML][HTML] Crowdsourcing the creation of image segmentation algorithms for connectomics
…, T Tasdizen, L Kamentsky, R Burget… - Frontiers in …, 2015 - frontiersin.org
To stimulate progress in automating the reconstruction of neural circuits, we organized the
first international challenge on 2D segmentation of electron microscopic (EM) images of the …
first international challenge on 2D segmentation of electron microscopic (EM) images of the …
The rise of wearable devices during the COVID-19 pandemic: A systematic review
The COVID-19 pandemic has wreaked havoc globally and still persists even after a year of
its initial outbreak. Several reasons can be considered: people are in close contact with each …
its initial outbreak. Several reasons can be considered: people are in close contact with each …
Image processing based automatic diagnosis of glaucoma using wavelet features of segmented optic disc from fundus image
Glaucoma is a disease of the retina which is one of the most common causes of permanent
blindness worldwide. This paper presents an automatic image processing based method for …
blindness worldwide. This paper presents an automatic image processing based method for …
Wearables for industrial work safety: A survey
Today, ensuring work safety is considered to be one of the top priorities for various industries.
Workplace injuries, illnesses, and deaths often entail substantial production and financial …
Workplace injuries, illnesses, and deaths often entail substantial production and financial …
Voice pathology detection using deep learning: a preliminary study
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 …
Neural Networks (DNN). We used voice recordings of sustained vowel /a/ produced at normal …
[HTML][HTML] Optimized high resolution 3d dense-u-net network for brain and spine segmentation
The 3D image segmentation is the process of partitioning a digital 3D volumes into multiple
segments. This paper presents a fully automatic method for high resolution 3D volumetric …
segments. This paper presents a fully automatic method for high resolution 3D volumetric …
Speech emotion recognition with deep learning
This paper describes a method for Speech Emotion Recognition (SER) using Deep Neural
Network (DNN) architecture with convolutional, pooling and fully connected layers. We used …
Network (DNN) architecture with convolutional, pooling and fully connected layers. We used …
Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network
Background and objectives Cardiovascular diseases are critical diseases and need to be
diagnosed as early as possible. There is a lack of medical professionals in remote areas to …
diagnosed as early as possible. There is a lack of medical professionals in remote areas to …
Android malware detection using genetic algorithm based optimized feature selection and machine learning
Android platform due to open source characteristic and Google backing has the largest global
market share. Being the world's most popular operating system, it has drawn the attention …
market share. Being the world's most popular operating system, it has drawn the attention …