Lukasz Jelen

Publication Activity (10 Years)

Years Active: 2001-2021
Publications (10 Years): 10

Top Topics

Pattern Recognition

Computer Aided Diagnosis

Microcalcification Clusters

Top Venues

Comput. Biol. Medicine

Publications

Marta Emirsajlow, Lukasz Jelen
Analysis of Effectiveness of Selected Classifiers for Recognizing Psychological Patterns. ICICT (2) (2021)
Mikolaj Skubisz, Lukasz Jelen
Deep Learning Bio-Signal Analysis from a Wearable Device. CISIM (2021)
Anita Rybialek, Lukasz Jelen
Application of DenseNets for Classification of Breast Cancer Mammograms. CISIM (2020)
Lukasz Jelen
Texture Description for Classification of Fine Needle Aspirates. PCBBE (2019)
Bartosz Miselis, Michal Kulus, Tomasz Jurek, Andrzej Rusiecki, Lukasz Jelen
Deep Neural Network for Whole Slide Vein Segmentation. CISIM (2018)
Lukasz Jelen, Michal Kulus, Tomasz Jurek
Pattern Recognition Framework for Histological Slide Segmentation. CISIM (2018)
Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen
Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. BIBM (2017)
Lukasz Jelen, Adam Krzyzak, Thomas Fevens, Michal Jelen
Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. Comput. Biol. Medicine 79 (2016)
Marcin Stachowiak, Lukasz Jelen
Automatic Segmentation Framework for Fluorescence in Situ Hybridization Cancer Diagnosis. CISIM (2016)
Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Appl. Soft Comput. 38 (2016)
Bartosz Krawczyk, Lukasz Jelen, Michal Wozniak
Adaptive Splitting and Selection ensemble for breast cancer malignancy grading. CICARE (2014)
Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens
One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. ICAISC (1) (2014)
Tomasz Bruzdzinski, Adam Krzyzak, Thomas Fevens, Lukasz Jelen
Web-Based Framework For Breast Cancer Classification. J. Artif. Intell. Soft Comput. Res. 4 (2) (2014)
Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens
Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. ICCVG (2012)
Jerzy Detyna, Lukasz Jelen, Michal Jelen
Role of Image Processing in the Cancer Diagnosis. Bio Algorithms Med Syst. 7 (4) (2011)
Lukasz Jelen, Artur Lipinski, Jerzy Detyna, Michal Jelen
Grading breast cancer malignancy with neural networks. Bio Algorithms Med Syst. 7 (2) (2011)
Lukasz Jelen, Jerzy Detyna
Data Clustering Used for Automated Breast Cancer Malignancy Grading. Bio Algorithms Med Syst. 6 (12-S) (2010)
Lukasz Jelen, Artur Lipinski, Jerzy Detyna, Michal Jelen
Clinical Validation of Computerized Breast Cancer Malignancy Grading. Bio Algorithms Med Syst. 6 (12-S) (2010)
Lukasz Jelen, Thomas Fevens, Adam Krzyzak
Influence of nuclei segmentation on breast cancer malignancy classification. Medical Imaging: Computer-Aided Diagnosis (2009)
Lukasz Jelen, Adam Krzyzak, Thomas Fevens
Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. Canadian Conference on AI (2008)
Lukasz Jelen, Thomas Fevens, Adam Krzyzak
Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies. Int. J. Appl. Math. Comput. Sci. 18 (1) (2008)
Andrew Shearer, Gerard Gorman, Triona O'Doherty, Wilhelm J. M. van der Putten, Peter McCarthy, Lukasz Jelen
Parallel image restoration with spatially variant point spread function: description and first clinical results. Medical Imaging: Image Processing (2001)