M. Pickles

发表

Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer.

Peter Gibbs, L. Turnbull, P. Gibbs, 2006, Magnetic resonance imaging.

Prognostic value of pre-treatment DCE-MRI parameters in predicting disease free and overall survival for breast cancer patients undergoing neoadjuvant chemotherapy.

L. Turnbull, M. Pickles, M. Lowry, 2009, European journal of radiology.

Texture analysis in assessment and prediction of chemotherapy response in breast cancer

Peter Gibbs, L. Turnbull, P. Gibbs, 2013, Journal of magnetic resonance imaging : JMRI.

Role of dynamic contrast enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy

L. Turnbull, P. Gibbs, M. Pickles, 2005, Breast Cancer Research and Treatment.

Prognostic value of DCE-MRI in breast cancer patients undergoing neoadjuvant chemotherapy: a comparison with traditional survival indicators

Lindsay W. Turnbull, Martin D. Pickles, L. Turnbull, 2014, European Radiology.

Dynamic contrast‐enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer

Steinar Lundgren, Tone F Bathen, Peter Gibbs, 2014, NMR in biomedicine.

Repeatability of echo-planar-based diffusion measurements of the human prostate at 3 T.

L. Turnbull, P. Gibbs, M. Pickles, 2007, Magnetic resonance imaging.

Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy

L. Turnbull, D. Tozer, L. Turnbull, 2006, British Journal of Cancer.

Minkowski functionals: An MRI texture analysis tool for determination of the aggressiveness of breast cancer

P. Gibbs, M. Pickles, Michael J. Fox, 2016, Journal of magnetic resonance imaging : JMRI.

Pretreatment Prognostic Value of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Vascular, Texture, Shape, and Size Parameters Compared With Traditional Survival Indicators Obtained From Locally Advanced Breast Cancer Patients

Peter Gibbs, P. Gibbs, M. Pickles, 2016, Investigative radiology.

Analysis of Prostate DCE-MRI: Comparison of Fast Exchange Limit and Fast Exchange Regimen Pharmacokinetic Models in the Discrimination of Malignant From Normal Tissue

Gary P Liney, Peter Gibbs, L. Turnbull, 2009, Investigative radiology.

Diffusion‐weighted imaging of normal and malignant prostate tissue at 3.0T

L. Turnbull, P. Gibbs, M. Pickles, 2006, Journal of magnetic resonance imaging : JMRI.

Registration of Supine MR Mammography with Breast Ultrasound for Surgical Planning of Breast Conserving Surgery: A Feasibility Study

L. Turnbull, P. Gibbs, M. Pickles, 2018, Senologie - Zeitschrift für Mammadiagnostik und -therapie.

Registration of Supine MR Mammography with Breast Ultrasound for Surgical Planning of Breast Conserving Surgery: A Feasibility Study

L. Turnbull, P. Gibbs, M. Pickles, 2015, Ultraschall in der Medizin - European Journal of Ultrasound.

Feasibility of contrast-enhanced MRI derived textural features to predict overall survival in locally advanced breast cancer

T. Bathen, B. Sitter, S. Lundgren, 2019, Acta radiologica.

Neoadjuvant chemotherapy in breast cancer: early response prediction with quantitative MR imaging and spectroscopy

L. Turnbull, D. Tozer, A. Maraveyas, 2006, British Journal of Cancer.

Chelator free gallium-68 radiolabelling of silica coated iron oxide nanorods via surface interactions.

Christopher Cawthorne, Stephen J Archibald, Benjamin P Burke, 2015, Nanoscale.

Correlation of diffusion‐weighted magnetic resonance data with cellularity in prostate cancer

Gary Liney, Peter Gibbs, L. Turnbull, 2009, BJU international.

Correlation of ADC and T2 Measurements With Cell Density in Prostate Cancer at 3.0 Tesla

Gary P Liney, Peter Gibbs, L. Turnbull, 2009, Investigative radiology.

Fluoride doped γ-Fe2O3 nanoparticles with increased MRI relaxivity.

L. Lazzarini, H. Wende, M. Pickles, 2018, Journal of materials chemistry. B.

Multi-Site Clinical Evaluation of DW-MRI as a Treatment Response Metric for Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy

Bing Ma, Craig J. Galbán, Colleen H. Neal, 2015, PloS one.

Image registration for quantitative parametric response mapping of cancer treatment response.

Ryan Chamberlain, Alnawaz Rehemtulla, Benjamin Lemasson, 2014, Translational oncology.

Voxel-by-Voxel Functional Diffusion Mapping for Early Evaluation of Breast Cancer Treatment

Bing Ma, Charles R. Meyer, Craig J. Galbán, 2009, IPMI.

Diffusion Imaging of the Prostate at 3.0 Tesla

L. Turnbull, P. Gibbs, M. Pickles, 2006, Investigative radiology.

Comparison of 3.0 T magnetic resonance imaging and X-ray mammography in the measurement of ductal carcinoma in situ: a comparison with histopathology.

Peter Gibbs, L. Turnbull, P. Gibbs, 2015, European journal of radiology.

In vivo magnetic resonance spectroscopy of gynaecological tumours at 3.0 Tesla

L. Turnbull, M. Pickles, SJ Booth, 2009, BJOG : an international journal of obstetrics and gynaecology.

Chelator free gallium-68 radiolabelling of silica coated iron oxide nanorods via surface interactions.

P. Gibbs, M. Pickles, M. Lorch, 2015, Nanoscale.

A simple solution for reducing artefacts due to conductive and dielectric effects in clinical magnetic resonance imaging at 3T.

P Gibbs, M Lowry, L. Turnbull, 2007, European journal of radiology.

Lesion T(2) relaxation times and volumes predict the response of malignant breast lesions to neoadjuvant chemotherapy.

M. Pickles, M. Lowry, D. Manton, 2008, Magnetic resonance imaging.

A New Strategy for Consistent Uniform Fat Suppression in Breast MR Imaging

L. Turnbull, P. Gibbs, E. Bayram, 2011 .