Mariusz Bajger

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 23

Top Topics

Graph Based Image Segmentation

Multiple Kernel

Top Venues

Digital Mammography / IWDM

Publications

David Ben-Tovim, Mariusz Bajger, Shaowen Qin
A Novel Application of a Mutual Information Measure for Analysing Temporal Changes in Healthcare Network Graphs. ADMA (3) (2023)
David Ben-Tovim, Mariusz Bajger, Viet Duong Bui, Shaowen Qin
Network Graph Analysis of Hospital and Health Services Functional Structures. ADMA (2021)
Michael Howes, Mariusz Bajger, Gobert N. Lee, Francesca Bucci, Saulo Martelli
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT. DICTA (2021)
Mariusz Bajger, Minh-Son To, Gobert Lee, Adam Wells, Chee Chong, Marc Agzarian, Santosh Poonnoose
Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study. DICTA (2021)
Mariusz Bajger, Janusz Brzdek, El-Sayed El-Hady, Eliza Jablonska
On the Continuous Cancellative Semigroups on a Real Interval and on a Circle and Some Symmetry Issues. Symmetry 12 (12) (2020)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells. BIBE (2019)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus. DICTA (2019)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. GLMI@MICCAI (2019)
Nolwenn Jegou, Franck Desaize, Gobert N. Lee, Mariusz Bajger, Oscar Acosta, Julie Leseur, Renaud de Crevoisier, Martin Caon
Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study. BIBE (2019)
Mariusz Bajger, Gobert N. Lee, Martin Caon
Paediatric Liver Segmentation for Low-Contrast CT Images. DATRA/PIPPI@MICCAI (2018)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Superpixel texture analysis for classification of breast masses in dense background. IET Comput. Vis. 12 (6) (2018)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus. DICTA (2018)
Gobert N. Lee, Mariusz Bajger, Kevin Clark
Deep learning and color variability in breast cancer histopathological images: a preliminary study. IWBI (2018)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Segmentation of cervical nuclei using SLIC and pairwise regional contrast. EMBC (2018)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. IWBI (2018)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images. Comput. Biol. Medicine 85 (2017)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts. DICTA (2017)
Ratna Saha, Mariusz Bajger, Gobert N. Lee
Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images. DICTA (2016)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method. Digital Mammography / IWDM (2016)
Jirí Sedlár, Mariusz Bajger, Martin Caon, Gobert N. Lee
Model-Guided Segmentation of Liver in CT and PET-CT Images of Child Patients Based on Statistical Region Merging. DICTA (2016)
Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema
Incorporation of fuzzy spatial relation in temporal mammogram registration. Fuzzy Sets Syst. 279 (2015)
Shelda Sajeev, Mariusz Bajger, Gobert N. Lee
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE. DICTA (2015)
Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema
Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. DICTA (2015)
Gobert N. Lee, Mariusz Bajger
Statistical Temporal Changes for Breast Cancer Detection: A Preliminary Study. Digital Mammography / IWDM (2014)
Mariusz Bajger, Fei Ma, Simon Williams, Murk J. Bottema
Mammographic Mass Detection with Statistical Region Merging. DICTA (2010)
Fei Ma, Mariusz Bajger, Simon Williams, Murk J. Bottema
Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. Digital Mammography / IWDM (2010)
Mariusz Bajger, Fei Ma, Murk J. Bottema
Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms. DICTA (2009)
Fei Ma, Mariusz Bajger, Murk J. Bottema
Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. DICTA (2009)
Mariusz Bajger, Amos Omondi
Low-error, High-speed Approximation of the Sigmoid Function for Large FPGA Implementations. J. Signal Process. Syst. 52 (2) (2008)
Fei Ma, Mariusz Bajger, Murk J. Bottema
Temporal Analysis of Mammograms Based on Graph Matching. Digital Mammography / IWDM (2008)
Hirotaka Susukida, Fei Ma, Mariusz Bajger
Automatic tuning of a graph-based image segmentation method for digital mammography applications. ISBI (2008)
Fei Ma, Mariusz Bajger, Murk J. Bottema
A graph matching based automatic regional registration method for sequential mammogram analysis. Medical Imaging: Computer-Aided Diagnosis (2008)
Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema
Two graph theory based methods for identifying the pectoral muscle in mammograms. Pattern Recognit. 40 (9) (2007)
Fei Ma, Mariusz Bajger, Murk J. Bottema
Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. DICTA (2007)
Mariusz Bajger, Amos Omondi
Implementations of Square-Root and Exponential Functions for Large FPGAs. Asia-Pacific Computer Systems Architecture Conference (2006)
Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema
Validation of Graph Theoretic Segmentation of the Pectoral Muscle. Digital Mammography / IWDM (2006)
Mariusz Bajger, Fei Ma, Murk J. Bottema
Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. DICTA (2005)