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ORCIDLukasz Jelen
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2020 – today
- 2021
[c14]Mikolaj Skubisz
, Lukasz Jelen:
Deep Learning Bio-Signal Analysis from a Wearable Device. CISIM 2021: 343-353- [c13]Marta Emirsajlow, Lukasz Jelen:
Analysis of Effectiveness of Selected Classifiers for Recognizing Psychological Patterns. ICICT (2) 2021: 511-521 - 2020
- [c12]Anita Rybialek, Lukasz Jelen:
Application of DenseNets for Classification of Breast Cancer Mammograms. CISIM 2020: 266-277
2010 – 2019
- 2019
- [c11]Lukasz Jelen:
Texture Description for Classification of Fine Needle Aspirates. PCBBE 2019: 107-116 - 2018
- [c10]Lukasz Jelen, Michal Kulus, Tomasz Jurek:
Pattern Recognition Framework for Histological Slide Segmentation. CISIM 2018: 37-45 - [c9]Bartosz Miselis, Michal Kulus, Tomasz Jurek, Andrzej Rusiecki, Lukasz Jelen:
Deep Neural Network for Whole Slide Vein Segmentation. CISIM 2018: 57-67 - 2017
- [c8]Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen:
Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. BIBM 2017: 705-709 - 2016
- [j8]Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera:
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Appl. Soft Comput. 38: 714-726 (2016) - [j7]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: 80-91 (2016) - [c7]Marcin Stachowiak, Lukasz Jelen:
Automatic Segmentation Framework for Fluorescence in Situ Hybridization Cancer Diagnosis. CISIM 2016: 148-159 - 2014
- [j6]Tomasz Bruzdzinski, Adam Krzyzak, Thomas Fevens, Lukasz Jelen:
Web-Based Framework For Breast Cancer Classification. J. Artif. Intell. Soft Comput. Res. 4(2): 149-162 (2014) - [c6]Bartosz Krawczyk, Lukasz Jelen, Michal Wozniak:
Adaptive Splitting and Selection ensemble for breast cancer malignancy grading. CICARE 2014: 104-111 - [c5]Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens:
One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. ICAISC (1) 2014: 539-550 - 2012
- [c4]Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens:
Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. ICCVG 2012: 483-490 - 2011
- [j5]Lukasz Jelen, Artur Lipinski, Jerzy Detyna, Michal Jelen:
Grading breast cancer malignancy with neural networks. Bio Algorithms Med Syst. 7(2): 47-53 (2011) - [j4]Jerzy Detyna, Lukasz Jelen, Michal Jelen:
Role of Image Processing in the Cancer Diagnosis. Bio Algorithms Med Syst. 7(4): 5-9 (2011) - [p1]Adam Krzyzak, Thomas Fevens, Mehdi Habibzadeh, Lukasz Jelen:
Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. Computer Recognition Systems 4 2011: 623-644 - 2010
- [j3]Lukasz Jelen, Jerzy Detyna:
Data Clustering Used for Automated Breast Cancer Malignancy Grading. Bio Algorithms Med Syst. 6(12-S): 79-80 (2010) - [j2]Lukasz Jelen, Artur Lipinski, Jerzy Detyna, Michal Jelen:
Clinical Validation of Computerized Breast Cancer Malignancy Grading. Bio Algorithms Med Syst. 6(12-S): 81-82 (2010)
2000 – 2009
- 2009
- [c3]Lukasz Jelen, Thomas Fevens, Adam Krzyzak:
Influence of nuclei segmentation on breast cancer malignancy classification. Computer-Aided Diagnosis 2009: 726014 - 2008
- [j1]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): 75-83 (2008) - [c2]Lukasz Jelen, Adam Krzyzak, Thomas Fevens:
Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. Canadian AI 2008: 138-149 - 2001
- [c1]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. Image Processing 2001
Coauthor Index
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