Mariusz Bajger

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Gobert N. LeeCollege of Science and Engineering, Flinders UniversityVerified email at flinders.edu.au
Murk BottemaRetiredVerified email at flinders.edu.au
Fei MaXi'an Jiaotong-Liverpool UniversityVerified email at xjtlu.edu.cn
Ratna SahaTorrens UniversityVerified email at torrens.edu.au
Shelda SajeevTorrens University, AustraliaVerified email at laureate.edu.au
Jiri SedlarCzech Technical University in Prague, Czech RepublicVerified email at cvut.cz
Professor Jagath RajapakseProfessor of Computer Science and Engineering, N4-2a11; Nanyang Technological UniversityVerified email at ntu.edu.sg
Limin YuXi'an Jiaotong-Liverpool UniversityVerified email at xjtlu.edu.cn
Santosh PoonnooseFlinders UniversityVerified email at sa.gov.au
Minh-Son ToFlinders Health and Medical Research Institute, Flinders UniversityVerified email at flinders.edu.au
Shaowen QinFlinders UniversityVerified email at flinders.edu.au
david ben-tovimprofessor College of Medicine and Public Health, Flinders Universith UniversityVerified email at flinders.edu.au
Marek ZdunVerified email at up.krakow.pl
Wuryatmo SidikSenior Lecture of Mathematics, Jenderal Soedirman UniversityVerified email at unsoed.ac.id
Oscar AcostaUniversité de Rennes, LTSI INSERM UMR 1099Verified email at univ-rennes1.fr
Saulo MartelliQueensland University of TechnologyVerified email at qut.edu.au
Matthias TomczakEmeritus Professor of Oceanography, Flinders University, AdelaideVerified email at flinders.edu.au
Eliza JabłońskaFaculty of Applied Mathematics, AGH University of KrakowVerified email at agh.edu.pl
Chisako MuramatsuShiga UniversityVerified email at biwako.shiga-u.ac.jp
El-sayed El-hadyAssociate Prof. at Suez Canal University, Egypt & Assist. Prof. at Jouf University, KSAVerified email at ju.edu.sa

Mariusz Bajger

Flinders University, Australia

Verified email at flinders.edu.au - Homepage

Medical Image Analysis Pattern Recognition Network Science


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Two graph theory based methods for identifying the pectoral muscle in mammograms F Ma, M Bajger, JP Slavotinek, MJ Bottema Pattern Recognition 40 (9), 2592-2602, 2007	102	2007
Spatial shape constrained fuzzy c-means (FCM) clustering for nucleus segmentation in pap smear images R Saha, M Bajger, G Lee 2016 international conference on digital image computing: techniques and …, 2016	44	2016
On the structure of some flows on the unit circle M Bajger Aequationes Mathematicae 55 (1-2), 106-121, 1998	29	1998
FPGA neurocomputers AR Omondi, JC Rajapakse, M Bajger FPGA Implementations of Neural Networks, 1-36, 2006	28	2006
Low-error, high-speed approximation of the sigmoid function for large FPGA implementations M Bajger, A Omondi Journal of Signal Processing Systems 52, 137-151, 2008	27	2008
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images R Saha, M Bajger, G Lee Computers in Biology and Medicine 85, 13-23, 2017	25	2017
Minimum spanning trees and active contours for identification of the pectoral muscle in screening mammograms M Bajger, F Ma, MJ Bottema Digital Image Computing: Techniques and Applications (DICTA'05), 47-47, 2005	22	2005
Segmentation of breast masses in local dense background using adaptive clip limit-CLAHE S Sajeev, M Bajger, G Lee 2015 International Conference on Digital Image Computing: Techniques and …, 2015	19	2015
Mammographic mass detection with statistical region merging M Bajger, F Ma, S Williams, M Bottema 2010 international conference on digital image computing: Techniques and …, 2010	17	2010
Automatic tuning of MST segmentation of mammograms for registration and mass detection algorithms M Bajger, F Ma, MJ Bottema 2009 Digital Image Computing: Techniques and Applications, 400-407, 2009	16	2009
3D segmentation for multi-organs in CT images M Bajger, G Lee, M Caon Electronic Letters on Computer Vision and Image Analysis 12 (2), 13-27, 2013	14	2013
Automatic mass segmentation based on adaptive pyramid and sublevel set analysis F Ma, M Bajger, MJ Bottema 2009 Digital Image Computing: Techniques and Applications, 236-241, 2009	14	2009
Extracting the pectoral muscle in screening mammograms using a graph pyramid F Ma, M Bajger, M Bottema APRS workshop on digital image computing, 2005	13	2005
Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry M Caon, J Sedlář, M Bajger, G Lee Australasian Physical & Engineering Sciences in Medicine 37, 393-403, 2014	12	2014
Multi-organ segmentation of CT images using statistical region merging GN Lee, M Bajger, M Caon 9th IASTED International Conference on Biomedical Engineering BioMed 2012 …, 2012	12	2012
Robustness of two methods for segmenting salient features in screening mammograms F Ma, M Bajger, MJ Bottema 9th Biennial Conference of the Australian Pattern Recognition Society on …, 2007	11	2007
Segmentation of cervical nuclei using SLIC and pairwise regional contrast R Saha, M Bajger, G Lee 2018 40th Annual international conference of the IEEE Engineering in …, 2018	10	2018
SRM superpixel merging framework for precise segmentation of cervical nucleus R Saha, M Bajger, G Lee 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019	9	2019
Prior guided segmentation and nuclei feature based abnormality detection in cervical cells R Saha, M Bajger, G Lee 2019 IEEE 19th international conference on bioinformatics and bioengineering …, 2019	8	2019
Deep learning and color variability in breast cancer histopathological images: a preliminary study G Lee, M Bajger, K Clark 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 370-375, 2018	8	2018

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