His primary scientific interests are in Magnetic resonance imaging, Nuclear medicine, Radiology, Breast cancer and Mammography. The concepts of his Magnetic resonance imaging study are interwoven with issues in Prostate, Clinical trial, Prostate cancer, Medical physics and Radiation therapy. His research in Nuclear medicine intersects with topics in Dynamic contrast-enhanced MRI, Diffusion MRI, Transfer constant, Reproducibility and Effective diffusion coefficient.
His Breast cancer research integrates issues from Cohort study, Gynecology, Oncology and Radiography. His research in the fields of Breast MRI overlaps with other disciplines such as Cost effectiveness. His study looks at the relationship between Breast MRI and topics such as Affine transformation, which overlap with Computer vision, Artificial intelligence and Image processing.
Martin O. Leach spends much of his time researching Magnetic resonance imaging, Nuclear medicine, Nuclear magnetic resonance, Radiology and Artificial intelligence. His Magnetic resonance imaging research is multidisciplinary, incorporating perspectives in Cancer, Internal medicine, Mammography, Breast cancer and Pathology. His Breast cancer research incorporates elements of Gynecology and Oncology.
His work carried out in the field of Nuclear medicine brings together such families of science as Radiation therapy, Biomedical engineering and Reproducibility. Martin O. Leach has researched Artificial intelligence in several fields, including Computer vision and Pattern recognition. Martin O. Leach is involved in the study of Computer vision that focuses on Image processing in particular.
His primary areas of study are Magnetic resonance imaging, Nuclear medicine, Radiology, Pathology and Cancer research. His Magnetic resonance imaging research incorporates themes from Head and neck squamous-cell carcinoma, Breast cancer and Internal medicine, Radiation therapy. His Breast cancer study also includes
His Nuclear medicine research includes themes of Diffusion MRI, Image registration, Lung, Reproducibility and Voxel. His Pathology research is multidisciplinary, incorporating elements of Blood-oxygen-level dependent, Perfusion and Intravoxel incoherent motion. His study looks at the relationship between Cancer research and fields such as Cancer, as well as how they intersect with chemical problems.
Magnetic resonance imaging, Radiology, Pathology, Internal medicine and Diffusion MRI are his primary areas of study. He has included themes like Head and neck squamous-cell carcinoma and Cancer in his Magnetic resonance imaging study. He interconnects Histogram, Neuroradiology and Image registration in the investigation of issues within Radiology.
His study in Pathology is interdisciplinary in nature, drawing from both Imaging biomarker, Tumor hypoxia, Drug development and Nuclear medicine. His Internal medicine research includes elements of Gynecology and Oncology. His studies deal with areas such as Meta-analysis and Mammography as well as Gynecology.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Nonrigid registration using free-form deformations: application to breast MR images
D. Rueckert;L.I. Sonoda;C. Hayes;D.L.G. Hill.
IEEE Transactions on Medical Imaging (1999)
American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography
Debbie Saslow;Carla Boetes;Wylie Burke;Steven Harms.
CA: A Cancer Journal for Clinicians (2007)
Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS).
M O Leach;C R M Boggis;A K Dixon;D F Easton.
The Lancet (2005)
Analysis of Cancer Metabolism by Imaging Hyperpolarized Nuclei: Prospects for Translation to Clinical Research
John Kurhanewicz;Daniel B. Vigneron;Kevin Brindle;Eduard Y. Chekmenev.
The assessment of antiangiogenic and antivascular therapies in early-stage clinical trials using magnetic resonance imaging: issues and recommendations
Martin O Leach;K Brindle;J Evelhoch;John R Griffiths.
British Journal of Cancer (2005)
Imaging biomarker roadmap for cancer studies.
James P.B. O'Connor;Eric O. Aboagye;Judith E. Adams;Hugo J.W.L. Aerts;Hugo J.W.L. Aerts.
Nature Reviews Clinical Oncology (2017)
Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
Hoo-Chang Shin;M. R. Orton;D. J. Collins;S. J. Doran.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2013)
Dynamic Contrast Enhanced MRI of Prostate Cancer: Correlation with Morphology and Tumour Stage, Histological Grade and PSA
Anwar R. Padhani;Connie J. Gapinski;David A. Macvicar;Geoffrey J. Parker.
Clinical Radiology (2000)
Clinical Proton MR Spectroscopy in Central Nervous System Disorders
Gülin Öz;Jeffry R. Alger;Peter B. Barker;Robert Bartha.
Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer.
Suzanne A. Eccles;Eric O. Aboagye;Simak Ali;Annie S. Anderson.
Breast Cancer Research (2013)
Profile was last updated on December 6th, 2021.
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