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Murk J. Bottema

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2020 – today

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2020
[c24]
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Zayed M. Asiri, Brianna L. Martin, Murk J. Bottema:
Branch Profiles for Shape Analysis. DICTA 2020: 1-7
[c23]
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Tyra Lange, Stewart Lake, Karen J. Reynolds, Murk J. Bottema:
Automated Computational Diagnosis of Peripheral Retinal Pathology in Optical Coherence Tomography (OCT) Scans using Graph Theory. DICTA 2020: 1-3

2010 – 2019

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2018
[j12]
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Rui-Sheng Lu, Elaine Dennison, Hayley Denison, Cyrus Cooper, Mark Taylor, Murk J. Bottema:
Texture analysis based on Gabor filters improves the estimate of bone fracture risk from DXA images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(4): 453-464 (2018)
[j11]
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Amelia Gontar, Hayden Tronnolone, Benjamin J. Binder, Murk J. Bottema:
Characterising shape patterns using features derived from best-fitting ellipsoids. Pattern Recognit. 83: 365-374 (2018)
2016
[c22]
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Amelia Gontar, Simon Williams, Murk J. Bottema:
Characterising 3D Structure of Cancellous Bone. DICTA 2016: 1-7
2015
[j10]
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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)
[c21]
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Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema:
Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. DICTA 2015: 1-7
[c20]
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Brianna L. Martin, Murk J. Bottema:
Textons for 3D Binary Data with Applications to Classifying Cancellous Bone. DICTA 2015: 1-6
2014
[j9]
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Xi-Zhao Li, Simon Williams, Murk J. Bottema:
Constructing and applying higher order textons: Estimating breast cancer risk. Pattern Recognit. 47(3): 1375-1382 (2014)
[j8]
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Xi-Zhao Li, Simon Williams, Murk J. Bottema:
Texture and region dependent breast cancer risk assessment from screening mammograms. Pattern Recognit. Lett. 36: 117-124 (2014)
[c19]
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Xi-Zhao Li, Simon Williams, Peter Downey, Murk J. Bottema:
Temporal Breast Cancer Risk Assessment Based on Higher-Order Textons. Digital Mammography / IWDM 2014: 565-572
2013
[j7]
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Xi-Zhao Li, Simon Williams, Murk J. Bottema:
Background intensity independent texture features for assessing breast cancer risk in screening mammograms. Pattern Recognit. Lett. 34(9): 1053-1062 (2013)
2012
[c18]
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Xi-Zhao Li, Simon Williams, Murk J. Bottema:
Intensity Independent Texture Analysis in Screening Mammograms. Digital Mammography / IWDM 2012: 474-481
[c17]
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Simon Williams, Murk J. Bottema:
Additive Dirichlet models for projectional images. Medical Imaging: Image Processing 2012: 831443
2010
[c16]
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Mariusz Bajger, Fei Ma, Simon Williams, Murk J. Bottema:
Mammographic Mass Detection with Statistical Region Merging. DICTA 2010: 27-32
[c15]
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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

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2009
[c14]
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Fei Ma, Mariusz Bajger, Murk J. Bottema:
Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis. DICTA 2009: 236-241
[c13]
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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
[c12]
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Fei Ma, Mariusz Bajger, Murk J. Bottema:
Temporal Analysis of Mammograms Based on Graph Matching. Digital Mammography / IWDM 2008: 158-165
[c11]
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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: 69151Z
2007
[j6]
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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)
[c10]
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Fei Ma, Mariusz Bajger, Murk J. Bottema:
Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms. DICTA 2007: 112-117
2006
[j5]
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Gobert N. Lee, Murk J. Bottema:
Significance of classification scores subsequent to feature selection. Pattern Recognit. Lett. 27(14): 1702-1709 (2006)
[c9]
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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
[c8]
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Gobert N. Lee, Murk J. Bottema, Takeshi Hara, Hiroshi Fujita:
Effect of quantization on co-occurrence matrix based texture features: An example study in mammography. Medical Imaging: Image Processing 2006: 61445C
2005
[c7]
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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
[c6]
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Arash Badiei, Murk J. Bottema, Nick L. Fazzalari:
Expected and Observed Changes to Architectural Parameters of Trabecular Bone with Aging - A Comparison of Measurement Techniques. DICTA 2005: 71
2000
[j4]
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Murk J. Bottema, John P. Slavotinek:
Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms. Pattern Recognit. Lett. 21(13-14): 1209-1214 (2000)
[c5]
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Murk J. Bottema:
Circularity of objects in images. ICASSP 2000: 2247-2250

1990 – 1999

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1999
[c4]
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Tijana T. Ivancevic, Lakhmi C. Jain, Murk J. Bottema:
A new two-feature GBAM-neurodynamical classifier for breast cancer diagnosis. KES 1999: 296-299
[c3]
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Tijana T. Ivancevic, Lakhmi C. Jain, Murk J. Bottema:
A new two-feature FAM-matrix classifier for breast cancer diagnosis. KES 1999: 305-308
1998
[j3]
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Murk J. Bottema, William Moran, Sofia Suvorova:
An Application of Wavelets in Tomography. Digit. Signal Process. 8(4): 244-254 (1998)
[j2]
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Mark E. Halpern, Murk J. Bottema, William Moran, Soura Dasgupta:
Optimum open eye equalizer design for nonminimum phase channels. IEEE Trans. Signal Process. 46(9): 2353-2358 (1998)
[c2]
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Mark E. Halpern, Murk J. Bottema, William Moran, Soura Dasgupta:
Optimum open eye equalizer design for non-minimum phase channels. ICASSP 1998: 3485-3488
[c1]
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Murk J. Bottema, John P. Slavotinek:
Detection of Subtle Microcalcifications in Digital Mammograms. Digital Mammography / IWDM 1998: 209-212
1991
[j1]
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Murk J. Bottema:
Deterministic properties of analog median filters. IEEE Trans. Inf. Theory 37(6): 1629-1640 (1991)

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