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Nevenka Dimitrova

Nevenka Dimitrova

D-Index & Metrics

Computer Science

D-Index
55
Citations
10582
World Ranking
4361
National Ranking
29

Overview

Nevenka Dimitrova is affiliated with Philips (Finland) in Finland and has contributed extensively to research in the fields of Biochemistry, Genetics and Molecular Biology as well as Medicine. Their work encompasses key areas in Molecular Biology, Periodontics, Oncology, Cancer Research, and Otorhinolaryngology.

Their research topics cover a range of subjects including Oral Health Pathology and Treatment, Head and Neck Cancer Studies, Cancer Genomics and Diagnostics, Pancreatic and Hepatic Oncology Research, Oral Microbiology and Periodontitis Research, TGF-β Signaling in Diseases, and Cancer-related Gene Regulation.

Recent papers authored or co-authored by Nevenka Dimitrova include:

  • Ordered and deterministic cancer genome evolution after p53 loss (2022, Nature)
  • Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing (2020, eLife)
  • The salivary metatranscriptome as an accurate diagnostic indicator of oral cancer (2021, npj Genomic Medicine)
  • Global Transcriptome Analysis Identifies a Diagnostic Signature for Early Disseminated Lyme Disease and Its Resolution (2020, mBio)
  • Detecting salivary host and microbiome RNA signature for aiding diagnosis of oral and throat cancer (2023, Oral Oncology)

Frequent co-authors collaborating with Dimitrova include:

  • Guruduth Banavar
  • Francine R. Camacho
  • Pedro J. Torres
  • Momchilo Vuyisich
  • Chamindie Punyadeera

They have published multiple articles in notable venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • eLife
  • npj Genomic Medicine
  • mBio

Best Publications

  • Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.

    Wei Luo;Dinh Phung;Truyen Tran;Sunil Gupta

  • Applications of video-content analysis and retrieval

    N. Dimitrova;Hong-Jiang Zhang;B. Shahraray;I. Sezan

  • Classification of general audio data for content-based retrieval

    Dongge Li;Ishwar K. Sethi;Nevenka Dimitrova;Tom McGee

  • Streaming video bookmarks

    Thomas McGee;Lalitha Agnihotri;Nevenka Dimitrova;Radu Jasinschi

  • Multimedia content processing through cross-modal association

    Dongge Li;Nevenka Dimitrova;Mingkun Li;Ishwar K. Sethi

  • Motion recovery for video content classification

    Nevenka Dimitrova;Forouzan Golshani

  • Apparatus and method for program selection utilizing exclusive and inclusive metadata search

    Serhan Dagtas;Radu S. Jasinschi;Nevenka Dimitrova

  • Visual indexing system

    Nevenka Dimitrova;Thomas McGee;Jan Hermanus Elenbaas

  • Computational prediction of methylation status in human genomic sequences

    Rajdeep Das;Nevenka Dimitrova;Zhenyu Xuan;Robert A. Rollins

  • Video stream classifiable symbol isolation method and system

    Lalitha Agnihotri;Nevenka Dimitrova;Jan Herman Elenbaas

  • Mega speaker identification (ID) system and corresponding methods therefor

    Nevenka Dimitrova;Dongge Li

  • Program classification using object tracking

    Nevenka Dimitrova;Lalitha Agnihotri;Gang Wei

  • Personalized news retrieval system

    Jan Elenbaas;Nevenka Dimitrova;Thomas McGee;Mark Simpson

  • Text detection for video analysis

    L. Agnihotri;N. Dimitrova

  • Methods and apparatus for recording programs prior to or beyond a preset recording time period

    Lalitha Agnihotri;Nevenka Dimitrova;Thomas Mcgee;Nicholas J. Mankovich

  • Significant scene detection and frame filtering for a visual indexing system using dynamic thresholds

    Thomas McGee;Nevenka Dimitrova;Jan Herman Elenbaas

  • Optimizing sparse sequencing of single cells for highly multiplex copy number profiling

    Timour Baslan;Timour Baslan;Jude Kendall;Brian Ward;Hilary Cox

  • Method and system for analyzing video content using detected text in video frames

    Lalitha Agnihotri;Nevenka Dimitrova;Jan H. Elenbaas

  • Transcript triggers for video enhancement

    Lalitha Agnihotri;Nevenka Dimitrova;Thomas Mcgee

  • Video classification based on HMM using text and faces

    Nevenka Dimitrova;Lalitha Agnihotri;Gang Wei

Frequent Co-Authors

Lalitha Agnihotri
Lalitha Agnihotri McGraw-Hill Education (United States)
John Zimmerman
John Zimmerman Carnegie Mellon University
Ishwar K. Sethi
Ishwar K. Sethi Oakland University
James W. Hicks
James W. Hicks University of Southern California
Mohamed Abdel-Mottaleb
Mohamed Abdel-Mottaleb University of Miami
Michael Wigler
Michael Wigler Cold Spring Harbor Laboratory
Michael Q. Zhang
Michael Q. Zhang The University of Texas at Dallas
Ruud M. Bolle
Ruud M. Bolle IBM (United States)
Chitra Dorai
Chitra Dorai IBM (United States)
Avideh Zakhor
Avideh Zakhor University of California, Berkeley

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