TomoSAM: a 3D Slicer extension using SAM for tomography segmentation

S. Pieper, M. Halle, R. Kikinis, 3d slicer, in: 2004 2nd IEEE international symposium on biomedical imaging: nano to macro (IEEE Cat No. 04EX821), IEEE, 2004, pp. 632–635

2004

Earlier work this paper cites.

J. Schindelin, I. Arganda-Carreras, E. Frise, V. Kaynig, M. Longair, T. Pietzsch, S. Preibisch, C. Rueden, S. Saalfeld, B. Schmid, et al., Fiji: an open-source platform for biological-image analysis, Nature methods 9 (7) (2012) 676–682

2012

Earlier work this paper cites.

J. C. Ferguson, F. Panerai, J. Lachaud, A. Martin, S. C. Bailey, N. N. Mansour, Modeling the oxidation of low-density carbon fiber material based on micro-tomography, Carbon 96 (2016) 57–65

2016

Earlier work this paper cites.

R. Makovetsky, N. Piche, M. Marsh, Dragonfly as a platform for easy image-based deep learning applications, Microscopy and microanalysis 24 (S1) (2018) 532–533

2018

Earlier work this paper cites.

F. Semeraro, J. C. Ferguson, F. Panerai, R. J. King, N. N. Mansour, Anisotropic analysis of fibrous and woven materials part 1: Estimation of local orientation, Computational Materials Science 178 (2020) 109631

2020

Earlier work this paper cites.

A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, et al., An image is worth 16x16 words: Transformers for image recognition at scale, arXiv preprint arXiv:2010.11929 (2020)

Original

2020

Cited alongside, same era.

J. C. Ferguson, F. Semeraro, J. M. Thornton, F. Panerai, A. Borner, N. N. Mansour, Update 3.0 to “puma: The porous microstructure analysis software”,(pii: S2352711018300281), SoftwareX 15 (2021) 100775

2021

Cited alongside, same era.

F. Semeraro, J. C. Ferguson, M. Acin, F. Panerai, N. N. Mansour, Anisotropic analysis of fibrous and woven materials part 2: Computation of effective conductivity, Computational Materials Science 186 (2021) 109956

2021

Cited alongside, same era.

S. Fraile Izquierdo, F. Semeraro, M. Acín, Multi-scale analysis of effective mechanical properties of porous 3d woven composite materials, in: AIAA SciTech 2022 Forum, 2022, p. 2281

2022

Cited alongside, same era.

K. He, X. Chen, S. Xie, Y. Li, P. Dollár, R. Girshick, Masked autoencoders are scalable vision learners, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022, pp. 16000–16009

2022

Later among the works it cites.

P. C. Lopes, R. S. Vianna, V. W. Sapucaia, F. Semeraro, R. Leiderman, A. M. Pereira, Simulation toolkit for digital material characterization of large image-based microstructures, Computational Materials Science 219 (2023) 112021

2023

Closest in time.

A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, et al., Segment anything, arXiv preprint arXiv:2304.02643 (2023)

Original

2023

Closest in time.

Y. Liu, J. Zhang, Z. She, A. Kheradmand, M. Armand, Samm (segment any medical model): A 3d slicer integration to sam, arXiv preprint arXiv:2304.05622 (2023)

Original

2023

Closest in time.