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 (Image Processing, 2001)

Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. - Lukasz Jelen; Adam Krzyzak; Thomas Fevens (Canadian AI, 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)

Influence of nuclei segmentation on breast cancer malignancy classification. - Lukasz Jelen; Thomas Fevens; Adam Krzyzak (Computer-Aided Diagnosis, 2009)

Data Clustering Used for Automated Breast Cancer Malignancy Grading. - Lukasz Jelen; Jerzy Detyna (Bio Algorithms Med Syst., 2010)

Clinical Validation of Computerized Breast Cancer Malignancy Grading. - Lukasz Jelen; Artur Lipinski 002; Jerzy Detyna; Michal Jelen (Bio Algorithms Med Syst., 2010)

Role of Image Processing in the Cancer Diagnosis. - Jerzy Detyna; Lukasz Jelen; Michal Jelen (Bio Algorithms Med Syst., 2011)

Grading breast cancer malignancy with neural networks. - Lukasz Jelen; Artur Lipinski 002; Jerzy Detyna; Michal Jelen (Bio Algorithms Med Syst., 2011)

Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. - Adam Krzyzak; Thomas Fevens; Mehdi Habibzadeh; Lukasz Jelen (Computer Recognition Systems 4, 2011)

Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. - Bartosz Krawczyk; Lukasz Jelen; Adam Krzyzak; Thomas Fevens (ICCVG, 2012)

Adaptive Splitting and Selection ensemble for breast cancer malignancy grading. - Bartosz Krawczyk; Lukasz Jelen; Michal Wozniak 001 (CICARE, 2014)

One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. - Bartosz Krawczyk; Lukasz Jelen; Adam Krzyzak; Thomas Fevens (ICAISC (1), 2014)

Web-Based Framework For Breast Cancer Classification. - Tomasz Bruzdzinski; Adam Krzyzak; Thomas Fevens; Lukasz Jelen (J. Artif. Intell. Soft Comput. Res., 2014)

Automatic Segmentation Framework for Fluorescence in Situ Hybridization Cancer Diagnosis. - Marcin Stachowiak; Lukasz Jelen (CISIM, 2016)

Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. - Bartosz Krawczyk; Mikel Galar; Lukasz Jelen; Francisco Herrera (Appl. Soft Comput., 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)

Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. - Muneera Alsaedi; Thomas Fevens; Adam Krzyzak; Lukasz Jelen (BIBM, 2017)

Pattern Recognition Framework for Histological Slide Segmentation. - Lukasz Jelen; Michal Kulus; Tomasz Jurek (CISIM, 2018)

Deep Neural Network for Whole Slide Vein Segmentation. - Bartosz Miselis; Michal Kulus; Tomasz Jurek; Andrzej Rusiecki; Lukasz Jelen (CISIM, 2018)

Texture Description for Classification of Fine Needle Aspirates. - Lukasz Jelen (PCBBE, 2019)

Application of DenseNets for Classification of Breast Cancer Mammograms. - Anita Rybialek; Lukasz Jelen (CISIM, 2020)

Deep Learning Bio-Signal Analysis from a Wearable Device. - Mikolaj Skubisz; Lukasz Jelen (CISIM, 2021)

Analysis of Effectiveness of Selected Classifiers for Recognizing Psychological Patterns. - Marta Emirsajlow; Lukasz Jelen (ICICT (2), 2021)

DCGAN-based Cytology Image Augmentation for Cervical Cancer Cell Classification Using Transfer Learning. - Betelhem Zewdu Wubineh; Lukasz Jelen; Andrzej Rusiecki (CENTERIS/ProjMAN/HCist, 2024)