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ORCIDMariusz Bajger
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2020 – today
- 2023
[c31]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: 92-102- 2021
- [c30]David Ben-Tovim, Mariusz Bajger, Viet Duong Bui, Shaowen Qin:
Network Graph Analysis of Hospital and Health Services Functional Structures. ADMA 2021: 33-44 - [c29]Mariusz Bajger, Minh-Son To, Gobert N. Lee, Adam Wells, Chee Chong, Marc Agzarian, Santosh Poonnoose:
Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study. DICTA 2021: 1-8 - [c28]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: 1-8 - 2020
- [j6]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): 1974 (2020)
2010 – 2019
- 2019
- [c27]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: 503-506 - [c26]Ratna Saha, Mariusz Bajger, Gobert N. Lee:
Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells. BIBE 2019: 742-746 - [c25]Ratna Saha, Mariusz Bajger, Gobert N. Lee:
SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus. DICTA 2019: 1-8 - [c24]Shelda Sajeev, Mariusz Bajger, Gobert N. Lee:
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. GLMI@MICCAI 2019: 147-154 - 2018
- [j5]Shelda Sajeev, Mariusz Bajger, Gobert N. Lee:
Superpixel texture analysis for classification of breast masses in dense background. IET Comput. Vis. 12(6): 779-786 (2018) - [c23]Ratna Saha, Mariusz Bajger, Gobert N. Lee:
Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus. DICTA 2018: 1-8 - [c22]Ratna Saha, Mariusz Bajger, Gobert N. Lee:
Segmentation of cervical nuclei using SLIC and pairwise regional contrast. EMBC 2018: 3422-3425 - [c21]Shelda Sajeev, Mariusz Bajger, Gobert N. Lee:
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. IWBI 2018: 107180V - [c20]Gobert N. Lee, Mariusz Bajger, Kevin Clark:
Deep learning and color variability in breast cancer histopathological images: a preliminary study. IWBI 2018: 107181E - [c19]Mariusz Bajger, Gobert N. Lee, Martin Caon:
Paediatric Liver Segmentation for Low-Contrast CT Images. DATRA/PIPPI@MICCAI 2018: 169-178 - 2017
- [j4]Ratna Saha, Mariusz Bajger, Gobert N. Lee:
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images. Comput. Biol. Medicine 85: 13-23 (2017) - [c18]Shelda Sajeev, Mariusz Bajger, Gobert N. Lee:
Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts. DICTA 2017: 1-8 - 2016
- [c17]Ratna Saha, Mariusz Bajger, Gobert N. Lee:
Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images. DICTA 2016: 1-8 - [c16]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: 1-8 - [c15]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: 635-642 - 2015
- [j3]Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema:
Incorporation of fuzzy spatial relation in temporal mammogram registration. Fuzzy Sets Syst. 279: 87-100 (2015) - [c14]Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema:
Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. DICTA 2015: 1-7 - [c13]Shelda Sajeev, Mariusz Bajger, Gobert N. Lee:
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE. DICTA 2015: 1-8 - 2014
- [c12]Gobert N. Lee, Mariusz Bajger:
Statistical Temporal Changes for Breast Cancer Detection: A Preliminary Study. Digital Mammography / IWDM 2014: 635-642 - 2010
- [c11]Mariusz Bajger, Fei Ma, Simon Williams, Murk J. Bottema:
Mammographic Mass Detection with Statistical Region Merging. DICTA 2010: 27-32 - [c10]Fei Ma, Mariusz Bajger, Simon Williams, Murk J. Bottema:
Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. Digital Mammography / IWDM 2010: 752-759
2000 – 2009
- 2009
- [c9]Fei Ma, Mariusz Bajger, Murk J. Bottema:
Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. DICTA 2009: 236-241 - [c8]Mariusz Bajger, Fei Ma, Murk J. Bottema:
Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms. DICTA 2009: 400-407 - 2008
- [j2]Mariusz Bajger, Amos Omondi:
Low-error, High-speed Approximation of the Sigmoid Function for Large FPGA Implementations. J. Signal Process. Syst. 52(2): 137-151 (2008) - [c7]Hirotaka Susukida, Fei Ma, Mariusz Bajger:
Automatic tuning of a graph-based image segmentation method for digital mammography applications. ISBI 2008: 89-92 - [c6]Fei Ma, Mariusz Bajger, Murk J. Bottema:
Temporal Analysis of Mammograms Based on Graph Matching. Digital Mammography / IWDM 2008: 158-165 - [c5]Fei Ma, Mariusz Bajger, Murk J. Bottema:
A graph matching based automatic regional registration method for sequential mammogram analysis. Computer-Aided Diagnosis 2008: 69151Z - 2007
- [j1]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): 2592-2602 (2007) - [c4]Fei Ma, Mariusz Bajger, Murk J. Bottema:
Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. DICTA 2007: 112-117 - 2006
- [c3]Mariusz Bajger, Amos Omondi:
Implementations of Square-Root and Exponential Functions for Large FPGAs. Asia-Pacific Computer Systems Architecture Conference 2006: 6-23 - [c2]Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema:
Validation of Graph Theoretic Segmentation of the Pectoral Muscle. Digital Mammography / IWDM 2006: 642-649 - 2005
- [c1]Mariusz Bajger, Fei Ma, Murk J. Bottema:
Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. DICTA 2005: 47
Coauthor Index
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