Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. - Mariusz Bajger; Fei Ma 002; Murk J. Bottema (DICTA, 2005)

Implementations of Square-Root and Exponential Functions for Large FPGAs. - Mariusz Bajger; Amos Omondi (Asia-Pacific Computer Systems Architecture Conference, 2006)

Validation of Graph Theoretic Segmentation of the Pectoral Muscle. - Fei Ma 002; Mariusz Bajger; John P. Slavotinek; Murk J. Bottema (Digital Mammography / IWDM, 2006)

Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (DICTA, 2007)

Two graph theory based methods for identifying the pectoral muscle in mammograms. - Fei Ma 002; Mariusz Bajger; John P. Slavotinek; Murk J. Bottema (Pattern Recognit., 2007)

Automatic tuning of a graph-based image segmentation method for digital mammography applications. - Hirotaka Susukida; Fei Ma 002; Mariusz Bajger (ISBI, 2008)

Temporal Analysis of Mammograms Based on Graph Matching. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (Digital Mammography / IWDM, 2008)

A graph matching based automatic regional registration method for sequential mammogram analysis. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (Computer-Aided Diagnosis, 2008)

Low-error, High-speed Approximation of the Sigmoid Function for Large FPGA Implementations. - Mariusz Bajger; Amos Omondi (J. Signal Process. Syst., 2008)

Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms. - Mariusz Bajger; Fei Ma 002; Murk J. Bottema (DICTA, 2009)

Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. - Fei Ma 002; Mariusz Bajger; Murk J. Bottema (DICTA, 2009)

Mammographic Mass Detection with Statistical Region Merging. - Mariusz Bajger; Fei Ma 002; Simon Williams; Murk J. Bottema (DICTA, 2010)

Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. - Fei Ma 002; Mariusz Bajger; Simon Williams; Murk J. Bottema (Digital Mammography / IWDM, 2010)

Statistical Temporal Changes for Breast Cancer Detection: A Preliminary Study. - Gobert N. Lee; Mariusz Bajger (Digital Mammography / IWDM, 2014)

Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. - Fei Ma 002; Limin Yu; Mariusz Bajger; Murk J. Bottema (DICTA, 2015)

Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (DICTA, 2015)

Incorporation of fuzzy spatial relation in temporal mammogram registration. - Fei Ma 002; Limin Yu; Mariusz Bajger; Murk J. Bottema (Fuzzy Sets Syst., 2015)

Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (DICTA, 2016)

Model-Guided Segmentation of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging. - Jirí Sedlár; Mariusz Bajger; Martin Caon; Gobert N. Lee (DICTA, 2016)

Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (Digital Mammography / IWDM, 2016)

Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (DICTA, 2017)

Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (Comput. Biol. Medicine, 2017)

Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (DICTA, 2018)

Segmentation of cervical nuclei using SLIC and pairwise regional contrast. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (EMBC, 2018)

Deep learning and color variability in breast cancer histopathological images: a preliminary study. - Gobert N. Lee; Mariusz Bajger; Kevin Clark (IWBI, 2018)

Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (IWBI, 2018)

Paediatric Liver Segmentation for Low-Contrast CT Images. - Mariusz Bajger; Gobert N. Lee; Martin Caon (DATRA/PIPPI@MICCAI, 2018)

Superpixel texture analysis for classification of breast masses in dense background. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (IET Comput. Vis., 2018)

Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study. - Nolwenn Jegou; Franck Desaize; Gobert N. Lee; Mariusz Bajger; Oscar Acosta; Julie Leseur; Renaud de Crevoisier; Martin Caon (BIBE, 2019)

Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (BIBE, 2019)

SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus. - Ratna Saha; Mariusz Bajger; Gobert N. Lee (DICTA, 2019)

Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. - Shelda Sajeev; Mariusz Bajger; Gobert N. Lee (GLMI@MICCAI, 2019)

On the Continuous Cancellative Semigroups on a Real Interval and on a Circle and Some Symmetry Issues. - Mariusz Bajger; Janusz Brzdek; El-Sayed El-Hady; Eliza Jablonska (Symmetry, 2020)

Network Graph Analysis of Hospital and Health Services Functional Structures. - David Ben-Tovim; Mariusz Bajger; Viet Duong Bui; Shaowen Qin (ADMA, 2021)

Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study. - Mariusz Bajger; Minh-Son To; Gobert N. Lee; Adam Wells; Chee Chong; Marc Agzarian; Santosh Poonnoose (DICTA, 2021)

Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT. - Michael Howes; Mariusz Bajger; Gobert N. Lee; Francesca Bucci; Saulo Martelli (DICTA, 2021)

A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs. - David Ben-Tovim; Mariusz Bajger; Shaowen Qin (ADMA (3), 2023)