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Kecheng Liu

Researcher at University of Reading

Publications -  290
Citations -  7280

Kecheng Liu is an academic researcher from University of Reading. The author has contributed to research in topics: Information system & Organisational semiotics. The author has an hindex of 34, co-authored 283 publications receiving 6429 citations. Previous affiliations of Kecheng Liu include Beijing Jiaotong University & Fourth Military Medical University.

Papers
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Journal ArticleDOI

Magnetic resonance fingerprinting

TL;DR: An approach to data acquisition, post-processing and visualization that permits the simultaneous non-invasive quantification of multiple important properties of a material or tissue is introduced—which is termed ‘magnetic resonance fingerprinting’ (MRF).
Book

Semiotics in Information Systems Engineering

TL;DR: A semiotic framework for information systems development and the social layer: modelling organisations as information systems part II and LEGOL applications in the CRIS case References Index.
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Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review

TL;DR: This paper is an attempt to explore these geometric methods, their implementations and integration of regularizers to improve the robustness of these topologically independent propagating curves/surfaces in medical image segmentation.
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The Human Connectome Project and Beyond: Initial Applications of 300 mT/m Gradients

TL;DR: It is shown that the improved sensitivity and diffusion-resolution provided by the gradients are rapidly enabling human applications of techniques that were previously possible only for in vitro and animal models on small-bore scanners, thereby creating novel opportunities to map the microstructure of the human brain in health and disease.
Journal ArticleDOI

Understanding the roles of signs and norms in organizations - a semiotic approach to information systems design

TL;DR: The paper finally presents a semiotic approach to information systems design, by discussing the method of information modelling and systems architecture, and shows advantages over other traditional ones in a higher degree of separation of knowledge, and hence in the consistency, integrity and maintainability of systems.