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The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis
The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis
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The ImageJ ecosystem: Open‐source software for image visualization, processing, and analysis

Schroeder, Alexandra B. ; Dobson, Ellen T. A. ; Rueden, Curtis T. ; Tomancak, Pavel ; Jug, Florian ; Eliceiri, Kevin W.

Protein science, 2021-01, Vol.30 (1), p.234-249 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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2
Deep Learning‐Based Single‐Cell Optical Image Studies
Deep Learning‐Based Single‐Cell Optical Image Studies
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Deep Learning‐Based Single‐Cell Optical Image Studies

Sun, Jing ; Tárnok, Attila ; Su, Xuantao

Cytometry. Part A, 2020-03, Vol.97 (3), p.226-240 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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3
Efficient clustering approach for adaptive unsupervised colour image segmentation
Efficient clustering approach for adaptive unsupervised colour image segmentation
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Efficient clustering approach for adaptive unsupervised colour image segmentation

Khan, Zubair ; Yang, Jie ; Zheng, Yuanjie

IET image processing, 2019-08, Vol.13 (10), p.1763-1772 [Periódico revisado por pares]

The Institution of Engineering and Technology

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4
Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning
Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning
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Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning

Wang, Ying Da ; Armstrong, Ryan T. ; Mostaghimi, Peyman

Water resources research, 2020-01, Vol.56 (1), p.n/a [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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5
RootPainter: deep learning segmentation of biological images with corrective annotation
RootPainter: deep learning segmentation of biological images with corrective annotation
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RootPainter: deep learning segmentation of biological images with corrective annotation

Smith, Abraham George ; Han, Eusun ; Petersen, Jens ; Olsen, Niels Alvin Faircloth ; Giese, Christian ; Athmann, Miriam ; Dresbøll, Dorte Bodin ; Thorup‐Kristensen, Kristian

The New phytologist, 2022-10, Vol.236 (2), p.774-791 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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6
Review of Data Science Trends and Issues in Porous Media Research With a Focus on Image‐Based Techniques
Review of Data Science Trends and Issues in Porous Media Research With a Focus on Image‐Based Techniques
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Review of Data Science Trends and Issues in Porous Media Research With a Focus on Image‐Based Techniques

Rabbani, A. ; Fernando, A. M. ; Shams, R. ; Singh, A. ; Mostaghimi, P. ; Babaei, M.

Water resources research, 2021-10, Vol.57 (10), p.n/a [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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7
Scheme for unsupervised colour–texture image segmentation using neutrosophic set and non-subsampled contourlet transform
Scheme for unsupervised colour–texture image segmentation using neutrosophic set and non-subsampled contourlet transform
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Scheme for unsupervised colour–texture image segmentation using neutrosophic set and non-subsampled contourlet transform

Heshmati, Abed ; Gholami, Maryam ; Rashno, Abdolreza

IET image processing, 2016-06, Vol.10 (6), p.464-473 [Periódico revisado por pares]

The Institution of Engineering and Technology

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8
Evaluation of the 3D fractal dimension as a marker of structural brain complexity in multiple‐acquisition MRI
Evaluation of the 3D fractal dimension as a marker of structural brain complexity in multiple‐acquisition MRI
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Evaluation of the 3D fractal dimension as a marker of structural brain complexity in multiple‐acquisition MRI

Krohn, Stephan ; Froeling, Martijn ; Leemans, Alexander ; Ostwald, Dirk ; Villoslada, Pablo ; Finke, Carsten ; Esteban, Francisco J.

Human brain mapping, 2019-08, Vol.40 (11), p.3299-3320 [Periódico revisado por pares]

Hoboken, USA: John Wiley & Sons, Inc

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9
Single‐cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates
Single‐cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates
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Single‐cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates

Jelli, Eric ; Ohmura, Takuya ; Netter, Niklas ; Abt, Martin ; Jiménez‐Siebert, Eva ; Neuhaus, Konstantin ; Rode, Daniel K. H. ; Nadell, Carey D. ; Drescher, Knut

Molecular microbiology, 2023-06, Vol.119 (6), p.659-676 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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10
A guide to analysis and reconstruction of serial block face scanning electron microscopy data
A guide to analysis and reconstruction of serial block face scanning electron microscopy data
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A guide to analysis and reconstruction of serial block face scanning electron microscopy data

COCKS, E. ; TAGGART, M. ; RIND, F.C. ; WHITE, K.

Journal of microscopy (Oxford), 2018-05, Vol.270 (2), p.217-234 [Periódico revisado por pares]

England: Wiley Subscription Services, Inc

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