default search action
Mariusz Bajger
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
Network Graph Analysis of Hospital and Health Services Functional Structures. ADMA 2021: 33-44 - [c29]Mariusz Bajger
Lumbar Spine CT synthesis from MR images using CycleGAN - a preliminary study. DICTA 2021: 1-8 - [c28]Michael Howes, Mariusz Bajger
Texture enhanced Statistical Region Merging with application to automatic knee bones segmentation from CT. DICTA 2021: 1-8 - 2020
- [j6]Mariusz Bajger
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
Organs-at-Risk Contouring on Head CT for RT Planning Using 3D Slicer- A Preliminary Study. BIBE 2019: 503-506 - [c26]Ratna Saha
Prior Guided Segmentation and Nuclei Feature Based Abnormality Detection in Cervical Cells. BIBE 2019: 742-746 - [c25]Ratna Saha
SRM Superpixel Merging Framework for Precise Segmentation of Cervical Nucleus. DICTA 2019: 1-8 - [c24]Shelda Sajeev
Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram. GLMI@MICCAI 2019: 147-154 - 2018
- [j5]Shelda Sajeev
Superpixel texture analysis for classification of breast masses in dense background. IET Comput. Vis. 12(6): 779-786 (2018) - [c23]Ratna Saha
Circular Shape Prior in Efficient Graph Based Image Segmentation to Segment Nucleus. DICTA 2018: 1-8 - [c22]Ratna Saha
Segmentation of cervical nuclei using SLIC and pairwise regional contrast. EMBC 2018: 3422-3425 - [c21]Shelda Sajeev
Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study. IWBI 2018: 107180V - [c20]Gobert N. Lee
Deep learning and color variability in breast cancer histopathological images: a preliminary study. IWBI 2018: 107181E - [c19]Mariusz Bajger
Paediatric Liver Segmentation for Low-Contrast CT Images. DATRA/PIPPI@MICCAI 2018: 169-178 - 2017
- [j4]Ratna Saha
Circular shape constrained fuzzy clustering (CiscFC) for nucleus segmentation in Pap smear images. Comput. Biol. Medicine 85: 13-23 (2017) - [c18]Shelda Sajeev
Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts. DICTA 2017: 1-8 - 2016
- [c17]Ratna Saha
Spatial Shape Constrained Fuzzy C-Means (FCM) Clustering for Nucleus Segmentation in Pap Smear Images. DICTA 2016: 1-8 - [c16]Jirí Sedlár
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
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
Incorporation of fuzzy spatial relation in temporal mammogram registration. Fuzzy Sets Syst. 279: 87-100 (2015) - [c14]Fei Ma, Limin Yu, Mariusz Bajger
Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. DICTA 2015: 1-7 - [c13]Shelda Sajeev
Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE. DICTA 2015: 1-8 - 2014
- [c12]Gobert N. Lee
Statistical Temporal Changes for Breast Cancer Detection: A Preliminary Study. Digital Mammography / IWDM 2014: 635-642 - 2010
- [c11]Mariusz Bajger
Mammographic Mass Detection with Statistical Region Merging. DICTA 2010: 27-32 - [c10]Fei Ma, Mariusz Bajger
Improved Detection of Cancer in Screening Mammograms by Temporal Comparison. Digital Mammography / IWDM 2010: 752-759
2000 – 2009
- 2009
- [c9]Fei Ma, Mariusz Bajger
Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. DICTA 2009: 236-241 - [c8]Mariusz Bajger
Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms. DICTA 2009: 400-407 - 2008
- [j2]Mariusz Bajger
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
Temporal Analysis of Mammograms Based on Graph Matching. Digital Mammography / IWDM 2008: 158-165 - [c5]Fei Ma, Mariusz Bajger
A graph matching based automatic regional registration method for sequential mammogram analysis. Computer-Aided Diagnosis 2008: 69151Z - 2007
- [j1]Fei Ma
Two graph theory based methods for identifying the pectoral muscle in mammograms. Pattern Recognit. 40(9): 2592-2602 (2007) - [c4]Fei Ma, Mariusz Bajger
Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. DICTA 2007: 112-117 - 2006
- [c3]Mariusz Bajger
Implementations of Square-Root and Exponential Functions for Large FPGAs. Asia-Pacific Computer Systems Architecture Conference 2006: 6-23 - [c2]Fei Ma, Mariusz Bajger
Validation of Graph Theoretic Segmentation of the Pectoral Muscle. Digital Mammography / IWDM 2006: 642-649 - 2005
- [c1]Mariusz Bajger
Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. DICTA 2005: 47
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 21:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: