Lukasz Jelen

According to our database, Lukasz Jelen authored at least 23 papers between 2001 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Analysis of Effectiveness of Selected Classifiers for Recognizing Psychological Patterns.

Marta Emirsajlow, Lukasz Jelen

Proceedings of Sixth International Congress on Information and Communication Technology, 2021

Deep Learning Bio-Signal Analysis from a Wearable Device.

Mikolaj Skubisz, Lukasz Jelen

Proceedings of the Computer Information Systems and Industrial Management, 2021

2020

Application of DenseNets for Classification of Breast Cancer Mammograms.

Anita Rybialek, Lukasz Jelen

Proceedings of the Computer Information Systems and Industrial Management, 2020

2019

Texture Description for Classification of Fine Needle Aspirates.

Lukasz Jelen

Proceedings of the Current Trends in Biomedical Engineering and Bioimages Analysis, 2019

2018

Deep Neural Network for Whole Slide Vein Segmentation.

Bartosz Miselis, Michal Kulus, Tomasz Jurek, Andrzej Rusiecki, Lukasz Jelen

Proceedings of the Computer Information Systems and Industrial Management, 2018

Pattern Recognition Framework for Histological Slide Segmentation.

Lukasz Jelen, Michal Kulus, Tomasz Jurek

Proceedings of the Computer Information Systems and Industrial Management, 2018

2017

Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer.

Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies.

Lukasz Jelen, Adam Krzyzak, Thomas Fevens, Michal Jelen

Comput. Biol. Medicine, 2016

Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy.

Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera

Appl. Soft Comput., 2016

Automatic Segmentation Framework for Fluorescence in Situ Hybridization Cancer Diagnosis.

Marcin Stachowiak, Lukasz Jelen

Proceedings of the Computer Information Systems and Industrial Management, 2016

2014

Web-Based Framework For Breast Cancer Classification.

Tomasz Bruzdzinski, Adam Krzyzak, Thomas Fevens, Lukasz Jelen

J. Artif. Intell. Soft Comput. Res., 2014

One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data.

Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens

Proceedings of the Artificial Intelligence and Soft Computing, 2014

Adaptive Splitting and Selection ensemble for breast cancer malignancy grading.

Bartosz Krawczyk, Lukasz Jelen, Michal Wozniak

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014

2012

Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data.

Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens

Proceedings of the Computer Vision and Graphics - International Conference, 2012

2011

Application of Pattern Recognition Techniques for the Analysis of Histopathological Images.

Adam Krzyzak, Thomas Fevens, Mehdi Habibzadeh, Lukasz Jelen

Proceedings of the Computer Recognition Systems 4, 2011

Grading breast cancer malignancy with neural networks.

Lukasz Jelen, Artur Lipinski, Jerzy Detyna, Michal Jelen

Bio Algorithms Med Syst., 2011

Role of Image Processing in the Cancer Diagnosis.

Jerzy Detyna, Lukasz Jelen, Michal Jelen

Bio Algorithms Med Syst., 2011

2010

Clinical Validation of Computerized Breast Cancer Malignancy Grading.

Lukasz Jelen, Artur Lipinski, Jerzy Detyna, Michal Jelen

Bio Algorithms Med Syst., 2010

Data Clustering Used for Automated Breast Cancer Malignancy Grading.

Lukasz Jelen, Jerzy Detyna

Bio Algorithms Med Syst., 2010

2009

Influence of nuclei segmentation on breast cancer malignancy classification.

Lukasz Jelen, Thomas Fevens, Adam Krzyzak

Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008

Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies.

Lukasz Jelen, Thomas Fevens, Adam Krzyzak

Int. J. Appl. Math. Comput. Sci., 2008

Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification.

Lukasz Jelen, Adam Krzyzak, Thomas Fevens

Proceedings of the Advances in Artificial Intelligence , 2008

2001

Parallel image restoration with spatially variant point spread function: description and first clinical results.

Andrew Shearer, Gerard Gorman, Triona O'Doherty, Wilhelm J. M. van der Putten, Peter McCarthy, Lukasz Jelen

Proceedings of the Medical Imaging 2001: Image Processing, 2001