Jeffrey A. Fessler is affiliated with the University of Michigan-Ann Arbor in the United States and has contributed extensively to the fields of medicine and engineering, with a particular focus on imaging techniques and biomedical engineering. Their research primarily spans radiology, nuclear medicine, imaging, and computational mechanics, among other technical subfields.
The main topics of their work include medical imaging techniques and applications, advanced MRI methods, advanced X-ray and CT imaging, sparse and compressive sensing techniques, and advanced electron microscopy and neuroimaging techniques.
Fessler has published numerous papers in highly specialized venues related to magnetic resonance and computational imaging. Frequent publication venues include:
Among their recent papers are:
Fessler's work frequently involves collaboration with several coauthors, including Douglas C. Noll, Jon-Fredrik Nielsen, Jason Hu, Yuni K. Dewaraja, and Zichao Wendy Di.
In addition to journal articles, Fessler has authored book publications, including the 2024 work Linear Algebra for Data Science, Machine Learning, and Signal Processing published by Cambridge University Press.
Their contributions to the theory and practice of image reconstruction were recognized with the IEEE Fellow award in 2006.
J.A. Fessler;B.P. Sutton
J.A. Fessler;A.O. Hero
J.M. Ollinger;J.A. Fessler
J.A. Fessler
I.A. Elbakri;J.A. Fessler
H. Erdogan;Jeffrey A. Fessler
J.A. Fessler;W.L. Rogers
J.A. Fessler
B.P. Sutton;D.C. Noll;J.A. Fessler
Ge Wang;Jong Chu Ye;Klaus Mueller;Jeffrey A. Fessler
K. Lange;J.A. Fessler
H. Erdogan;J.A. Fessler
William Allyn Grissom;Chun-Yu Yip;Zhenghui Zhang;V. Andrew Stenger
J.A. Fessler;A.O. Hero
Saiprasad Ravishankar;Jong Chul Ye;Jeffrey A. Fessler
Jeffrey Fessler
Sangtae Ahn;J.A. Fessler
S. Ramani;J. A. Fessler
Jeffrey A. Fessler
S Ramani;J A Fessler
J.A. Fessler;S.D. Booth
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