Murk J. Bottema

Publication Activity (10 Years)

Years Active: 1991-2020
Publications (10 Years): 8

Top Topics

Multiple Kernel

Texture Analysis

Top Venues

Pattern Recognit.

Pattern Recognit. Lett.

Digital Mammography / IWDM

Publications

Zayed M. Asiri, Brianna L. Martin, Murk J. Bottema
Branch Profiles for Shape Analysis. DICTA (2020)
Tyra Lange, Stewart Lake, Karen Reynolds, Murk J. Bottema
Automated Computational Diagnosis of Peripheral Retinal Pathology in Optical Coherence Tomography (OCT) Scans using Graph Theory. DICTA (2020)
Amelia Gontar, Hayden Tronnolone, Benjamin J. Binder, Murk J. Bottema
Characterising shape patterns using features derived from best-fitting ellipsoids. Pattern Recognit. 83 (2018)
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) (2018)
Amelia Gontar, Simon Williams, Murk J. Bottema
Characterising 3D Structure of Cancellous Bone. 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)
Fei Ma, Limin Yu, Mariusz Bajger, Murk J. Bottema
Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning. DICTA (2015)
Brianna L. Martin, Murk J. Bottema
Textons for 3D Binary Data with Applications to Classifying Cancellous Bone. DICTA (2015)
Xi-Zhao Li, Simon Williams, Peter Downey, Murk J. Bottema
Temporal Breast Cancer Risk Assessment Based on Higher-Order Textons. Digital Mammography / IWDM (2014)
Xi-Zhao Li, Simon Williams, Murk J. Bottema
Texture and region dependent breast cancer risk assessment from screening mammograms. Pattern Recognit. Lett. 36 (2014)
Xi-Zhao Li, Simon Williams, Murk J. Bottema
Constructing and applying higher order textons: Estimating breast cancer risk. Pattern Recognit. 47 (3) (2014)
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) (2013)
Simon Williams, Murk J. Bottema
Additive Dirichlet models for projectional images. Medical Imaging: Image Processing (2012)
Xi-Zhao Li, Simon Williams, Murk J. Bottema
Intensity Independent Texture Analysis in Screening Mammograms. Digital Mammography / IWDM (2012)
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)
Fei Ma, Mariusz Bajger, Murk J. Bottema
Temporal Analysis of Mammograms Based on Graph Matching. Digital Mammography / IWDM (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)
Gobert N. Lee, Murk J. Bottema
Significance of classification scores subsequent to feature selection. Pattern Recognit. Lett. 27 (14) (2006)
Fei Ma, Mariusz Bajger, John P. Slavotinek, Murk J. Bottema
Validation of Graph Theoretic Segmentation of the Pectoral Muscle. Digital Mammography / IWDM (2006)
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)
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)
Mariusz Bajger, Fei Ma, Murk J. Bottema
Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms. DICTA (2005)
Murk J. Bottema
Circularity of objects in images. ICASSP (2000)
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) (2000)
Tijana T. Ivancevic, Lakhmi C. Jain, Murk J. Bottema
A new two-feature FAM-matrix classifier for breast cancer diagnosis. KES (1999)
Tijana T. Ivancevic, Lakhmi C. Jain, Murk J. Bottema
A new two-feature GBAM-neurodynamical classifier for breast cancer diagnosis. KES (1999)
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) (1998)
Murk J. Bottema, William Moran, Sofia Suvorova
An Application of Wavelets in Tomography. Digit. Signal Process. 8 (4) (1998)
Murk J. Bottema, John P. Slavotinek
Detection of Subtle Microcalcifications in Digital Mammograms. Digital Mammography / IWDM (1998)
Mark E. Halpern, Murk J. Bottema, William Moran, Soura Dasgupta
Optimum open eye equalizer design for non-minimum phase channels. ICASSP (1998)
Murk J. Bottema
Deterministic properties of analog median filters. IEEE Trans. Inf. Theory 37 (6) (1991)