Search Results - "Tomić, Oliver"

Radiology and fine art by Marinković, Slobodan, Stošić-Opinćal, Tatjana, Tomić, Oliver

“…The radiologic aesthetics of some body parts and internal organs have inspired certain artists to create specific works of art. Our aim was to describe the…”
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Neuroradiology and Art: A Review and Personal Contribution by Marinkovic, Slobodan, Stošic-Opincal, Tatjana, Štrbac, Mile, Tomic, Irina, Tomic, Oliver, Djordjevic, Drago

“…Radiology has attracted the world of art with the esthetic value of its images, and as a new medium for the artistic expression. In order to investigate the…”
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30-Day Survival Probabilities as a Quality Indicator for Norwegian Hospitals: Data Management and Analysis by Hassani, Sahar, Lindman, Anja Schou, Kristoffersen, Doris Tove, Tomic, Oliver, Helgeland, Jon

“…The Norwegian Knowledge Centre for the Health Services (NOKC) reports 30-day survival as a quality indicator for Norwegian hospitals. The indicators have been…”
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A Comparative Literature Review of Machine Learning and Image Processing Techniques Used for Scaling and Grading of Wood Logs by Yohann Jacob Sandvik, Cecilia Marie Futsæther, Kristian Hovde Liland, Oliver Tomic

“…This literature review assesses the efficacy of image-processing techniques and machine-learning models in computer vision for wood log grading and scaling…”
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RENT-Repeated Elastic Net Technique for Feature Selection by Jenul, Anna, Schrunner, Stefan, Liland, Kristian Hovde, Indahl, Ulf Geir, Futsaether, Cecilia Marie, Tomic, Oliver

“…Feature selection is an essential step in data science pipelines to reduce the complexity associated with large datasets. While much research on this topic…”
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Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics by Huynh, Bao Ngoc, Groendahl, Aurora Rosvoll, Tomic, Oliver, Liland, Kristian Hovde, Knudtsen, Ingerid Skjei, Hoebers, Frank, van Elmpt, Wouter, Malinen, Eirik, Dale, Einar, Futsaether, Cecilia Marie

“…Radiomics can provide in-depth characterization of cancers for treatment outcome prediction. Conventional radiomics rely on extraction of image features within…”
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Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics by Huynh, Bao Ngoc, Groendahl, Aurora Rosvoll, Tomic, Oliver, Liland, Kristian Hovde, Knudtsen, Ingerid Skjei, Hoebers, Frank, van Elmpt, Wouter, Malinen, Eirik, Dale, Einar, Futsaether, Cecilia Marie

“…[This corrects the article DOI: 10.3389/fmed.2023.1217037.]…”
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Characterization of Selected South African Young Cultivar Wines Using FTMIR Spectroscopy, Gas Chromatography, and Multivariate Data Analysis by Louw, Leanie, Roux, Karolien, Tredoux, Andreas, Tomic, Oliver, Naes, Tormod, Nieuwoudt, Hélène H, van Rensburg, Pierre

“…The powerful combination of analytical chemistry and chemometrics and its application to wine analysis provide a way to gain knowledge and insight into the…”
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Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning by Groendahl, Aurora Rosvoll, Huynh, Bao Ngoc, Tomic, Oliver, Søvik, Åste, Dale, Einar, Malinen, Eirik, Skogmo, Hege Kippenes, Futsaether, Cecilia Marie

“…Radiotherapy (RT) is increasingly being used on dogs with spontaneous head and neck cancer (HNC), which account for a large percentage of veterinary patients…”
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Visualization of sensory profiling data for performance monitoring by Tomic, Oliver, Nilsen, Asgeir, Martens, Magni, Næs, Tormod

“…Simple graphical techniques can be utilized to investigate the performance of individual assessors and to detect individual differences among assessors in a…”
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Statistical process control and interrupted time series: a golden opportunity for impact evaluation in quality improvement by Fretheim, Atle, Tomic, Oliver

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Non-linear shrinking of linear model errors by Helin, Runar, Indahl, Ulf, Tomic, Oliver, Liland, Kristian Hovde

“…Artificial neural networks (ANNs) can be a powerful tool for spectroscopic data analysis. Their ability to detect and model complex relations in the data may…”
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A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS) by Jenul, Anna, Schrunner, Stefan, Pilz, Jürgen, Tomic, Oliver

“…Feature selection reduces the complexity of high-dimensional datasets and helps to gain insights into systematic variation in the data. These aspects are…”
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The effect of a biochar temperature series on denitrification: which biochar properties matter? by Weldon, Simon, Rasse, Daniel P., Budai, Alice, Tomic, Oliver, Dörsch, Peter

“…Biochar has been shown to reduce nitrous oxide (N2O) emissions from soils, but the effect is highly variable across studies and the mechanisms are under…”
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Temporal sweetness and side tastes profiles of 16 sweeteners using temporal check-all-that-apply (TCATA) by Tan, Vicki Wei Kee, Wee, May Sui Mei, Tomic, Oliver, Forde, Ciaran G.

“…An increase in consumer awareness around the negative health impacts of consuming excess added sugars has led to a rise in the replacement of sucrose in foods…”
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Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis by Tranås, Rasmus, Løvvik, Ole Martin, Tomic, Oliver, Berland, Kristian

“…Low lattice thermal conductivity is essential for high thermoelectric performance of a material. Lattice thermal conductivity is often computed using density…”
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On the possible benefits of deep learning for spectral preprocessing by Helin, Runar, Indahl, Ulf Geir, Tomic, Oliver, Liland, Kristian Hovde

“…Preprocessing is a mandatory step in most types of spectroscopy and spectrometry. The choice of preprocessing method depends on the data being analysed, and to…”
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Why use component-based methods in sensory science? by Næs, Tormod, Varela, Paula, Castura, John C., Bro, Rasmus, Tomic, Oliver

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Lattice thermal conductivity of half-Heuslers with density functional theory and machine learning: Enhancing predictivity by active sampling with principal component analysis by Tranås, Rasmus André, Løvvik, Ole Martin, Tomic, Oliver, Berland, Kristian

“…Low lattice thermal conductivity is essential for high thermoelectric performance of a material. Lattice thermal conductivity is often computed using density…”
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Principal components analysis of descriptive sensory data: Reflections, challenges, and suggestions by Næs, Tormod, Tomic, Oliver, Endrizzi, Isabella, Varela, Paula

“…This article presents a discussion of principal components analysis of descriptive sensory data. Focus is on standardization, many correlated variables,…”
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