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Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.

A. Atzeni, L. Peter, E. Robinson, E. Blackburn, J. Althonayan, D. Alexander, and J. Iglesias. Medical Image Anal., (2022)

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C. Alexander

Daniel C Rost

Daniel C Dreesmann

Daniel C Schmid

Daniel C Ramb

Other publications of authors with the same name

Microstructural parameter estimation in vivo using diffusion MRI and structured prior informationJ. Clayden, Z. Nagy, N. Weiskopf, D. Alexander, and C. Clark. Magnetic Resonance in Medicine, 75 (4): 1787-1796 (May 2015)Persistent angular structure: new insights from diffusion magnetic resonance imaging dataK. Jansons, and D. Alexander. Inverse Problems, 19 (5): 1031 (2003)MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.M. Xu, Y. Zhou, C. Jin, M. de Groot, D. Alexander, N. Oxtoby, and J. Jacob. IEEE Trans. Medical Imaging, 42 (10): 2988-2999 (October 2023)Spatial Transformations of Diffusion Tensor Magnetic Resonance Images.D. Alexander, C. Pierpaoli, P. Basser, and J. Gee. IEEE Trans. Medical Imaging, 20 (11): 1131-1139 (2001)Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data.A. Daducci, E. Canales-Rodríguez, H. Zhang, T. Dyrby, D. Alexander, and J. Thiran. NeuroImage, (2015)The CONNECT project: Combining macro- and micro-structure.Y. Assaf, D. Alexander, D. Jones, A. Bizzi, T. Behrens, C. Clark, Y. Cohen, T. Dyrby, P. Huppi, T. Knösche and 3 other author(s). NeuroImage, (2013)Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI.D. Jones, D. Alexander, R. Bowtell, M. Cercignani, F. Dell'Acqua, D. McHugh, K. Miller, M. Palombo, G. Parker, S. Rudrapatna and 1 other author(s). NeuroImage, (2018)Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study.H. Powell, G. Parker, D. Alexander, M. Symms, P. Boulby, C. Wheeler-Kingshott, G. Barker, U. Noppeney, M. Koepp, and J. Duncan. NeuroImage, 32 (1): 388-399 (2006)A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal.M. Palombo, D. Alexander, and H. Zhang. NeuroImage, (2019)Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease.N. Colgan, B. Siow, J. O'Callaghan, I. Harrison, J. Wells, H. Holmes, O. Ismail, S. Richardson, D. Alexander, E. Collins and 8 other author(s). NeuroImage, (2016)

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Disambiguation of "Alexander, Daniel C."

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Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.

Please choose a person to relate this publication to

C. Alexander

Daniel C Rost

Daniel C Dreesmann

Daniel C Schmid

Daniel C Ramb

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Alexander, Daniel C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.

Please choose a person to relate this publication to

C. Alexander

Daniel C Rost

Daniel C Dreesmann

Daniel C Schmid

Daniel C Ramb

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length.