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Matteo Figini
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2020 – today
- 2024
- [i7]Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini
, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander
:
Tackling Structural Hallucination in Image Translation with Local Diffusion. CoRR abs/2404.05980 (2024) - 2023
- [j1]Hongxiang Lin
, Matteo Figini
, Felice D'Arco, Godwin Ogbole
, Ryutaro Tanno, Stefano B. Blumberg
, Lisa Ronan
, Biobele J. Brown, David W. Carmichael
, Ikeoluwa Lagunju, Judith Helen Cross
, Delmiro Fernandez-Reyes
, Daniel C. Alexander
:
Low-field magnetic resonance image enhancement via stochastic image quality transfer. Medical Image Anal. 87: 102807 (2023) - [i6]Hongxiang Lin
, Matteo Figini
, Felice D'Arco, Godwin Ogbole
, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross
, Delmiro Fernandez-Reyes, Daniel C. Alexander
:
Low-field magnetic resonance image enhancement via stochastic image quality transfer. CoRR abs/2304.13385 (2023) - [i5]Seunghoi Kim, Henry F. J. Tregidgo, Ahmed K. Eldaly, Matteo Figini
, Daniel C. Alexander
:
A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI. CoRR abs/2311.06631 (2023) - 2022
- [c2]Stefano B. Blumberg, Hongxiang Lin
, Francesco Grussu, Yukun Zhou
, Matteo Figini
, Daniel C. Alexander
:
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. MICCAI (6) 2022: 421-431 - [e2]Suheyla Cetin Karayumak, Daan Christiaens
, Matteo Figini
, Pamela Guevara
, Tomasz Pieciak
, Elizabeth Powell
, Francois Rheault
:
Computational Diffusion MRI - 13th International Workshop, CDMRI 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13722, Springer 2022, ISBN 978-3-031-21205-5 [contents] - [i4]Stefano B. Blumberg, Hongxiang Lin
, Francesco Grussu, Yukun Zhou, Matteo Figini
, Daniel C. Alexander
:
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI. CoRR abs/2203.09268 (2022) - [i3]Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini
, Iasonas Kokkinos, Daniel C. Alexander
:
Deformably-Scaled Transposed Convolution. CoRR abs/2210.09446 (2022) - 2021
- [e1]Suheyla Cetin Karayumak, Daan Christiaens
, Matteo Figini
, Pamela Guevara
, Noemi G. Gyori
, Vishwesh Nath, Tomasz Pieciak
:
Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13006, Springer 2021, ISBN 978-3-030-87614-2 [contents] - 2020
- [i2]Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander:
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. CoRR abs/2003.07216 (2020)
2010 – 2019
- 2019
- [c1]Hongxiang Lin
, Matteo Figini
, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole
, Biobele J. Brown, Felice D'Arco, David W. Carmichael
, Ikeoluwa Lagunju, Helen J. Cross
, Delmiro Fernandez-Reyes, Daniel C. Alexander
:
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. MLMIR@MICCAI 2019: 58-70 - [i1]Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander:
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. CoRR abs/1909.06763 (2019) - 2014
- [b1]Matteo Figini:
Model-based analysis of diffusion Magnetic Resonance: study of microstructural damage in white matter and gray matter diseases. Polytechnic University of Milan, Italy, 2014
Coauthor Index
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last updated on 2024-08-05 21:24 CEST by the dblp team
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