Ping Zhang

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 17

Top Topics

Genetic Algorithm

Wavelet Neural Network

Colorectal Cancer

Principal Component Analysis

Top Venues

BMC Medical Informatics Decis. Mak.

Briefings Bioinform.

Publications

Tahera Ahmed, Ping Zhang, Kuldeep Kumar
Dietary Balance in Alzheimer's Patients vs. Healthy People. BIBM (2022)
A Hasitha Kuruwita, Ng Shu Kay, Alan Liew, Brent Richards, Kelvin Ross, Kuldeep Kumar, Luke Haseler, Meghan McConnell, Ping Zhang
Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. BIBM (2022)
Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang
Building a knowledge base for colorectal cancer patient care using formal concept analysis. BMC Medical Informatics Decis. Mak. (11) (2022)
Kuldeep Kumar, Gulasekaran Rajaguru, Ping Zhang
Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation. BIBM (2021)
Tahera Ahmed, Ping Zhang, Kuldeep Kumar
Socio-demographic, Lifestyle and Neuropsychological Risk Factors on Alzheimer's Disease. BIBM (2021)
Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang
Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients. BIBM (2020)
Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler
Utilizing heart rate variability to predict ICU patient outcome in traumatic brain injury. BMC Bioinform. (17) (2020)
Ping Zhang, Tegan Roberts, Brent Richards, Luke J. Haseler
Predicting intensive care outcomes in traumatic brain injury using heart rate variability measures with feature extraction strategies. BIBM (2019)
Pin-Yen Chen, Allan Cripps, Nicholas P. West, Amanda J. Cox, Ping Zhang
A correlation-based network for biomarker discovery in obesity with metabolic syndrome. BMC Bioinform. (6) (2019)
Ping Zhang, Nicholas P. West, Pin-Yen Chen, Mike W. C. Thang, Gareth Price, Allan Cripps, Amanda J. Cox
Selection of microbial biomarkers with genetic algorithm and principal component analysis. BMC Bioinform. (6) (2019)
Ping Zhang, Constantinos A. Georgiou, Vladimir Brusic
Elemental metabolomics. Briefings Bioinform. 19 (3) (2018)
Jin-Peng Qi, Ying Zhu, Ping Zhang
A WED Method for Evaluating the Performance of Change-Point Detection Algorithms. BIBM (2018)
Ping Zhang, Nicholas P. West, Pin-Yen Chen, Allan Cripps, Amanda J. Cox
Combination of Principal Component Analysis and Genetic Algorithm for Microbial Biomarker Identification in Obesity. BIBM (2018)
Pin-Yen Chen, Nicholas P. West, Ping Zhang, Amanda J. Cox, Allan Cripps
Correlation-based network analysis for biomarkers in obesity. BIBM (2018)
Maryam Mahsal Khan, Alexandre Mendes, Ping Zhang, Stephan K. Chalup
Evolving multi-dimensional wavelet neural networks for classification using Cartesian Genetic Programming. Neurocomputing 247 (2017)
Ping Zhang, Amanda J. Cox, Allan Cripps, Nicholas P. West
Integrated biomedical data analysis utilizing various types of data for biomarkers identification. BIBM (2017)
Luke Vandewater, Vladimir Brusic, William J. Wilson, Lance S. Macaulay, Ping Zhang
An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression. BMC Bioinform. 16 (S18) (2015)
Piers Johnson, Luke Vandewater, William J. Wilson, Paul Maruff, Greg Savage, Petra Graham, Lance S. Macaulay, Kathryn A. Ellis, Cassandra Szoeke, Ralph N. Martins, Christopher Rowe, Colin L. Masters, David Ames, Ping Zhang
Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease. BMC Bioinform. 15 (S-16) (2014)
Ping Zhang, Lou Chitkushev, Vladimir Brusic, Guanglan Zhang
Biomarkers in Immunology: from Concepts to Applications. BCB (2013)
Ping Zhang, Jenny Doust, Kuldeep Kumar
Presenting a Simplified Assistant Tool for Breast Cancer Diagnosis in Mammography to Radiologists. ICMB (2010)
Francesco Pappalardo, Mark D. Halling-Brown, Nicolas Rapin, Ping Zhang, Davide Alemani, Andrew Emerson, Paola Paci, Patrice Duroux, Marzio Pennisi, Arianna Palladini, Olivo Miotto, Daniel Churchill, Elda Rossi, Adrian J. Shepherd, David S. Moss, Filippo Castiglione, Massimo Bernaschi, Marie-Paule Lefranc, Søren Brunak, Santo Motta, Pierluigi Lollini, Kaye E. Basford, Vladimir Brusic
ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. Briefings Bioinform. 10 (3) (2009)
Ping Zhang, Vladimir Brusic, Kaye E. Basford
A Hybrid Model for Prediction of Peptide Binding to MHC Molecules. ICONIP (1) (2008)
Brijesh K. Verma, Ping Zhang
A novel neural-genetic algorithm to find the most significant combination of features in digital mammograms. Appl. Soft Comput. 7 (2) (2007)
Liwen You, Ping Zhang, Mikael Bodén, Vladimir Brusic
Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification. PRIB (2007)
Ping Zhang, Kuldeep Kumar
Analyzing Feature Significance from Various Systems for Mass Diagnosis. CIMCA/IAWTIC (2006)
Ping Zhang, Kuldeep Kumar, Brijesh K. Verma
A Hybrid Classifier for Mass Classification with Different Kinds of Features in Mammography. FSKD (2) (2005)
Ping Zhang, Brijesh K. Verma, Kuldeep Kumar
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection. Pattern Recognit. Lett. 26 (7) (2005)
Ping Zhang, Brijesh Varma, Kuldeep Kumar
Neural vs. statistical classifier in conjunction with genetic algorithm feature selection in digital mammography. IEEE Congress on Evolutionary Computation (2003)