Murk J. Bottema

发表

Optimum open eye equalizer design for non-minimum phase channels

Soura Dasgupta, William Moran, Mark E. Halpern, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Temporal Breast Cancer Risk Assessment Based on Higher-Order Textons

Murk J. Bottema, Xi-Zhao Li, Simon Williams, 2014, Digital Mammography / IWDM.

Improved Detection of Cancer in Screening Mammograms by Temporal Comparison

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2010, Digital Mammography / IWDM.

A new two-feature FAM-matrix classifier for breast cancer diagnosis

Tijana T. Ivancevic, Lakhmi C. Jain, Murk J. Bottema, 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).

Characterising 3D Structure of Cancellous Bone

Murk J. Bottema, Simon Williams, Amelia Gontar, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Extracting the pectoral muscle in screening mammograms using a graph pyramid

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2005 .

A new two-feature GBAM-neurodynamical classifier for breast cancer diagnosis

Tijana T. Ivancevic, Lakhmi C. Jain, Murk J. Bottema, 1999, 1999 Third International Conference on Knowledge-Based Intelligent Information Engineering Systems. Proceedings (Cat. No.99TH8410).

Incorporation of fuzzy spatial relation in temporal mammogram registration

Limin Yu, Mariusz Bajger, Fei Ma, 2015, Fuzzy Sets Syst..

Background intensity independent texture features for assessing breast cancer risk in screening mammograms

Murk J. Bottema, Xi-Zhao Li, Simon Williams, 2013, Pattern Recognit. Lett..

Optimum open eye equalizer design for nonminimum phase channels

Soura Dasgupta, William Moran, Mark E. Halpern, 1998, IEEE Trans. Signal Process..

Textons for 3D Binary Data with Applications to Classifying Cancellous Bone

Murk J. Bottema, Brianna L. Martin, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Texture and region dependent breast cancer risk assessment from screening mammograms

Murk J. Bottema, Xi-Zhao Li, Simon Williams, 2014, Pattern Recognit. Lett..

Validation of Graph Theoretic Segmentation of the Pectoral Muscle

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2006, Digital Mammography / IWDM.

Texture analysis based on Gabor filters improves the estimate of bone fracture risk from DXA images

Mark Taylor, Murk J. Bottema, Cyrus Cooper, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

A graph matching based automatic regional registration method for sequential mammogram analysis

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2008, SPIE Medical Imaging.

Mammogram Mass Classification with Temporal Features and Multiple Kernel Learning

Limin Yu, Mariusz Bajger, Fei Ma, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Detection and classification of lobular and DCIS (small cell) microcalcifications in digital mammograms

Murk J. Bottema, John P. Slavotinek, 2000, Pattern Recognit. Lett..

Temporal Analysis of Mammograms Based on Graph Matching

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2008, Digital Mammography / IWDM.

Automatic Tuning of MST Segmentation of Mammograms for Registration and Mass Detection Algorithms

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2009, 2009 Digital Image Computing: Techniques and Applications.

Structural image texture and early detection of breast cancer

Murk J. Bottema, Shijia Lu, 2003 .

Two graph theory based methods for identifying the pectoral muscle in mammograms

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2007, Pattern Recognit..

An Application of Wavelets in Tomography

William Moran, Sofia Suvorova, Murk J. Bottema, 1998, Digit. Signal Process..

Computer-aided screening mammography

Murk J. Bottema, John P. Slavotinek, 1999, Smart Materials, Nano-, and Micro- Smart Systems.

Effect of quantization on co-occurrence matrix based texture features: An example study in mammography

Hiroshi Fujita, Takeshi Hara, Gobert N. Lee, 2006, SPIE Medical Imaging.

Numerical model of electrical potential within the human head

J. B. Nixon, M. D. Teubner, Murk J. Bottema, 2003 .

Classifying masses: Significance of Az scores after feature space selection

Gobert N. Lee, Murk J. Bottema, 2003 .

Source Localisation in a Real Human Head

John B. Nixon, Paul E. Rasser, Murk J. Bottema, 2005, Brain Topography.

Characterising shape patterns using features derived from best-fitting ellipsoids

Murk J. Bottema, Benjamin J. Binder, Amelia Gontar, 2018, Pattern Recognit..

Mammographic Mass Detection with Statistical Region Merging

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.

Deterministic properties of analog median filters

Murk J. Bottema, 1991, IEEE Trans. Inf. Theory.

Automatic Mass Segmentation Based on Adaptive Pyramid and Sublevel Set Analysis

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2009, 2009 Digital Image Computing: Techniques and Applications.

Constructing and applying higher order textons: Estimating breast cancer risk

Murk J. Bottema, Xi-Zhao Li, Simon Williams, 2014, Pattern Recognit..

Detection of Subtle Microcalcifications in Digital Mammograms

Murk J. Bottema, John P. Slavotinek, 1998, Digital Mammography / IWDM.

Expected and Observed Changes to Architectural Parameters of Trabecular Bone with Aging — A Comparison of Measurement Techniques

Murk J. Bottema, Arash Badiei, Nick L. Fazzalari, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

Intensity Independent Texture Analysis in Screening Mammograms

Murk J. Bottema, Xi-Zhao Li, Simon Williams, 2012, Digital Mammography / IWDM.

Robustness of Two Methods for Segmenting Salient Features in Screening Mammograms

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

Significance of classification scores subsequent to feature selection

Gobert N. Lee, Murk J. Bottema, M. Bottema, 2006, Pattern Recognit. Lett..

Minimum Spanning Trees and Active Contours for Identification of the Pectoral Muscle in Screening Mammograms

Mariusz Bajger, Fei Ma, Murk J. Bottema, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

Statistical significance of Az scores: classification of masses in screening mammograms as benign or malignant based on high dimensional texture feature space

Gobert N. Lee, Murk J. Bottema, 2003 .

Automatic Image Feature Extraction for Diagnosis and Prognosis of Breast Cancer

Songwu Lu, Gobert N. Lee, Murk J. Bottema, 2000 .

A Mathematical Model of Chaotic Attractor in Tumor Growth and Decay

Tijana T. Ivancevic, Lakhmi C. Jain, Murk J. Bottema, 2008, 0810.4580.

Electron-driven excitation of O2 under night-time auroral conditions: Excited state densities and band emissions

Murk J. Bottema, D. C. Cartwright, Laurence Campbell, 2006 .