Luka Šajn

University of Ljubljana · Faculty of Computer and Information Science

The concept of the augmented coaching ecosystem for non-obtrusive adaptive personalized elderly care is proposed on the basis of the integration of new and available ICT approaches. They include multimodal user interface (MMUI), augmented reality (AR), machine learning (ML), Internet of Things (IoT), and machine-to-machine (M2M) interactions. The e...

The concept of the augmented coaching ecosystem for non-obtrusive adaptive personalized elderly care is proposed on the basis of the integration of new and available ICT approaches. They include the multimodal user interface (MMUI), augmented reality (AR), machine learning (ML), Internet of Things (IoT), and machine-to-machine (M2M) interactions. T...

In this paper we propose a method for trajectory estimation of a moving node based on minimizing the residual sum defined as the difference between a reported and actual distance from the anchor nodes. We devise extensive and complex indoor experiments with exploratory data analysis and interpretation of the results. Our findings show a slight impr...

An algorithm for automatic digitization of pluviograph strip charts is presented. The rainfall signal is incrementally extracted from the scanned image of a strip chart by combining the moving average method and the curve edge following method. The mechanical properties of float-based rain gauge were used as constraints in the algorithm design. The...

In this paper nine mobile food recognition systems are described based on their system architecture and their core properties (the core properties and experimental results are shown on the last page). While the mobile hardware increased its power through the years (2009 - 2013) and the food detection algorithms got optimized, still there was no uni...

Cell counting in microscopic images is one of the fundamental analysis tools in life sciences, but is usually tedious, time consuming and prone to human error. Several programs for automatic cell counting have been developed so far, but most of them demand additional training or data input from the user. Most of them do not allow the users to onlin...

The prediction of the position of a given volume sample in a full body atlas, also known as a volume localization, is a part of an initial stage of image retrieval in most of the dedicated CAD systems. In this paper we present two methods for volume localization, namely histogram matching and classifier regression. Since the histogram matching meth...

Despite several methods that exist in different fields of life sciences, certain biotechnological applications still require microscopic analysis of the samples and in many instances, counting of cells. Some of those are drug delivery, transfection or analysis of mechanism fluorescent probes are used to detect cell viability, efficiency of a specif...

Paper presents a rehabilitation systemfor patientswho suffer from armor wrist injury or similar. The idea of the rehabilitation using computer and additional hardware is not new, but our solution differs significantly. We tried to make it easily accessible and thus started with a limitation that only a personal computer and one standardweb camera i...

The paper presents results of our long-term study on using image processing and data mining methods in a medical imaging. Since evaluation of modern medical images is becoming increasingly complex, advanced analytical and decision support tools are involved in integration of partial diagnostic results. Such partial results, frequently obtained from...

The paper presents the procedure which automatically and reliably determines the presence of heart enlargement, also known as cardiomegaly, from a chest radiograph. We took advantage of some well-established image processing methods and adapted a few of them to meet our needs. Methods which were used include image filtering with convolution masks,...

Clinicians strive to improve established diagnostic procedures, especially those that allow them to reach reliable early diagnoses. Diagnostics is frequently performed in a stepwise manner which consists of several consecutive tests (steps). The ultimate step in this process is often the “gold standard” reference method. In stepwise testing, result...

Coronary artery disease has been described as one of the curses of the western world, as it is one of the most important causes of mortality. Therefore, clinicians seek to improve diagnostic procedures, especially those that allow them to reach reliable early diagnoses. In the clinical setting, coronary artery disease diagnostics is typically perfo...

In the paper an innovative alternative to automatic image parametrization on multiple resolutions, based on texture description with specialized association rules, and image evaluation with machine learning methods is presented. The algorithm ArTex for parameterizing textures with association rules belonging to structural parametrization algorithms...

In the paper an innovative alternative to automatic image parametrization on multiple resolutions, based on texture description with specialized association rules, and image evaluation with machine learning methods is presented. The algorithm ArTex for parameterizing textures with association rules belonging to structural parametrization algorithms...

Bone scintigraphy or whole-body bone scan is one of the most common diagnostic procedures in nuclear medicine. Since expert physicians evaluate images manually some automated procedure for pathology detection is desired. A robust knowledge based methodology for segmenting body scans into the main skeletal regions is presented. The algorithm is simu...

In the dissertation multiresolutional texture parametrization is addressed and the original algorithm ARes for finding more informative resolutions in the sense of classification accuracy is proposed. Our study explores the multiresolutional texture parametrization approach based on the image content with regard to the parametrization quality, espe...

Coronary artery disease is one of the world’s most important causes of early mortality, so any improvements of diagnostic procedures are highly appreciated. In the clinical setting, coronary artery disease diagnostics is typically performed in a sequential manner. The four diagnostic levels consist of evaluation of (1)signs and symptoms of the dise...

Bone scintigraphy or whole-body bone scan is one of the most common diagnostic procedures in nuclear medicine used in the last 25 years. Pathological conditions, technically poor image resolution and artefacts necessitate that algorithms use sufficient background knowledge of anatomy and spatial relations of bones in order to work satisfactorily. A...

Bone scintigraphy or whole-body bone scan is one of the most common diagnostic procedures in nuclear medicine used in the last 25 years. Pathological conditions, technically poor quality images and ar- tifacts necessitate that algorithms use su-cient background knowledge of anatomy and spatial relations of bones in order to work satisfactorily. We...

We were interested to develop an algorithm for detection of coronas of people in altered states of consciousness (two-classes problem). Such coronas are known to have rings (double coronas), special branch-like structure of streamers and/or curious spots. We used several approaches to parametrization of images and various machine learning algorithm...