User profiles for "author:Nevenka Dimitrova"

Nevenka Dimitrova

Philips
Verified email at philips.com
Cited by 14086

[HTML][HTML] Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view

W Luo, D Phung, T Tran, S Gupta, S Rana… - Journal of medical …, 2016 - jmir.org
Background As more and more researchers are turning to big data for new opportunities of
biomedical discoveries, machine learning models, as the backbone of big data analysis, are …

[HTML][HTML] Ordered and deterministic cancer genome evolution after p53 loss

T Baslan, JP Morris IV, Z Zhao, J Reyes, YJ Ho… - Nature, 2022 - nature.com
Although p53 inactivation promotes genomic instability and presents a route to malignancy
for more than half of all human cancers,, the patterns through which heterogenous TP53 …

Applications of video-content analysis and retrieval

N Dimitrova, HJ Zhang, B Shahraray, I Sezan… - IEEE …, 2002 - ieeexplore.ieee.org
Applications of video-content analysis and retrieval Page 1 Managing multimedia data requires
more than collecting the data into storage archives and delivering it via networks to homes or …

Classification of general audio data for content-based retrieval

D Li, IK Sethi, N Dimitrova, T McGee - Pattern recognition letters, 2001 - Elsevier
In this paper, we address the problem of classification of continuous general audio data
(GAD) for content-based retrieval, and describe a scheme that is able to classify audio …

Multimedia content processing through cross-modal association

D Li, N Dimitrova, M Li, IK Sethi - Proceedings of the eleventh ACM …, 2003 - dl.acm.org
Multimodal information processing has received considerable attention in recent years. The
focus of existing research in this area has been predominantly on the use of fusion …

Computational prediction of methylation status in human genomic sequences

R Das, N Dimitrova, Z Xuan… - Proceedings of the …, 2006 - National Acad Sciences
Epigenetic effects in mammals depend largely on heritable genomic methylation patterns.
We describe a computational pattern recognition method that is used to predict the …

Motion recovery for video content classification

N Dimitrova, F Golshani - ACM Transactions on Information Systems …, 1995 - dl.acm.org
Like other types of digital information, video sequences must be classified based on the
semantics of their contents. A more-precise and completer extraction of semantic information …

A novel saliva-based microRNA biomarker panel to detect head and neck cancers

C Salazar, R Nagadia, P Pandit, J Cooper-White… - Cellular oncology, 2014 - Springer
Background MicroRNAs (miRNAs) are known to play an important role in cancer
development by post-transcriptionally affecting the expression of critical genes. The aims of …

[HTML][HTML] Identification of tumor suppressors and oncogenes from genomic and epigenetic features in ovarian cancer

KO Wrzeszczynski, V Varadan, J Byrnes, E Lum… - PloS one, 2011 - journals.plos.org
The identification of genetic and epigenetic alterations from primary tumor cells has become
a common method to identify genes critical to the development and progression of cancer …

[HTML][HTML] DNA methylation patterns in luminal breast cancers differ from non-luminal subtypes and can identify relapse risk independent of other clinical variables

S Kamalakaran, V Varadan, HEG Russnes, D Levy… - Molecular …, 2011 - Elsevier
The diversity of breast cancers reflects variations in underlying biology and affects the
clinical implications for patients. Gene expression studies have identified five major …