Michal Marczyk
Scholar

Michal Marczyk

Google Scholar ID: mL-nyRAAAAAJ
Department of Data Science and Engineering, Silesian University of Technology
Bioinformaticsbiostatisticsdata sciencemachine learningdeep learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
1,222
 
H-index
19
 
i10-index
28
 
Publications
20
 
Co-authors
0
 
Contact
Emailwww@polsl.plTwitterOpen ↗GitHubOpen ↗
Publications
1 items
Can Unsupervised Methods Outperform Supervised Deep Learning When Ground Truth Is Sparse? A Case Study of Bronchovascular Bundle Segmentation in Low-Dose CT
2026
Cited
0
Resume
Academic Achievements
  • - May 2024, Habilitation in Biomedical Engineering discipline, Silesian University of Technology, Topic: “Statistical and machine learning models for supporting cancer research – methods and applications”
  • - September 2013, Doctorate with honors in the field of biocybernetics and biomedical engineering, Silesian University of Technology, Thesis topic: “Processing and classification of data obtained with the use of high throughput molecular biology techniques”
Research Experience
  • - February 2025 - present, Associate Professor at the Department of Data Science and Engineering, Silesian University of Technology
  • - October 2014 - January 2025, Assistant Professor at the Department of Data Science and Engineering, Silesian University of Technology
  • - October 2020 - present, Adjunct Assistant Professor at Yale Breast Medical Oncology Group, Yale University, New Haven, CT, USA
  • - December 2017 - September 2020, Research Associate at Yale Breast Medical Oncology Group, Yale University, New Haven, CT, USA
  • - October 2013 - September 2014, Assistant at the Department of Data Science and Engineering, Silesian University of Technology
  • - May 2013 - December 2013, Junior specialist at the Department of Thoracic Surgery, Medical University of Gdansk, Gdansk
  • - May 2013 - August 2013, Research internship at the Department of Molecular Biology, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
  • - April 2009 - May 2009, Research internship at the Faculty of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
Education
  • - PhD in Biomedical Engineering, Silesian University of Technology, supervised by Prof. Joanna Polanska, September 2013
  • - Master's degree in Automatic Control, September 2008
Background
  • Research Interests: Information and Communication Technology. Professional Field: Biomedical Engineering.