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Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Y. Nan, X. Xing, S. Wang, Z. Tang, F. Felder, S. Zhang, R. Ledda, X. Ding, R. Yu, W. Liu, F. Shi, T. Sun, Z. Cao, M. Zhang, Y. Gu, H. Zhang, J. Gao, W. Tang, P. Yu, H. Kang, J. Chen, X. Lu, B. Zhang, M. Mamalakis, F. Prinzi, G. Carlini, L. Cuneo, A. Banerjee, Z. Xing, L. Zhu, Z. Mesbah, D. Jain, T. Mayet, H. Yuan, Q. Lyu, A. Wells, S. Walsh, and G. Yang. CoRR, (2023)

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Michail Logvinov

Michail Jordanoff

Michail Krausnick

Michail Petrow

Michail Sallas

Other publications of authors with the same name

Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle.M. Mamalakis, P. Garg, T. Nelson, J. Lee, A. Swift, J. Wild, and R. Clayton. Comput. Medical Imaging Graph., (2023)A Personalised Monitoring and Recommendation Framework for Kinetic Dysfunctions: The Trendelenburg Gait.N. Michalopoulos, G. Raptis, C. Katsini, T. Chrysikos, M. Mamalakis, and A. Vigotsky. PCI, page 8. ACM, (2016)DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.M. Mamalakis, A. Swift, B. Vorselaars, S. Ray, S. Weeks, W. Ding, R. Clayton, L. Mackenzie, and A. Banerjee. CoRR, (2021)Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar.M. Mamalakis, P. Garg, T. Nelson, J. Lee, A. Swift, J. Wild, and R. Clayton. Artif. Intell. Medicine, (September 2023)MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar.M. Mamalakis, P. Garg, T. Nelson, J. Lee, J. Wild, and R. Clayton. Comput. Medical Imaging Graph., (2021)Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.Y. Nan, X. Xing, S. Wang, Z. Tang, F. Felder, S. Zhang, R. Ledda, X. Ding, R. Yu, W. Liu and 28 other author(s). CoRR, (2023)A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.M. Mamalakis, S. Macfarlane, S. Notley, A. Gad, and G. Panoutsos. CoRR, (2023)A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition.M. Mamalakis, H. de Vareilles, A. AI-Manea, S. Mitchell, I. Arartz, L. Morch-Johnsen, J. Garrison, J. Simons, P. Lio, J. Suckling and 1 other author(s). CoRR, (2023)

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Disambiguation of "Mamalakis, Michail"

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Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Please choose a person to relate this publication to

Michail Logvinov

Michail Jordanoff

Michail Krausnick

Michail Petrow

Michail Sallas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mamalakis, Michail"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.

Please choose a person to relate this publication to

Michail Logvinov

Michail Jordanoff

Michail Krausnick

Michail Petrow

Michail Sallas

Other publications of authors with the same name

Disambiguation

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

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.