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Artikel 100001 Multi-scale feedback residual network for image super-resolution
Enthalten in Signal, image and video processing Bd. 19, 28.5.2025, Nr. 8, date:8.2025: 1-9
Online Ressource
Artikel 100002 Multi-scale fusion and adaptively attentive generative adversarial network for image de-raining
Enthalten in Applied intelligence Bd. 53, 29.11.2023, Nr. 24, date:12.2023: 30954-30970
Online Ressource
Artikel 100003 Multi-scale fusion semantic enhancement network for medical image segmentation
Enthalten in Scientific reports Bd. 15, 2.7.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 100004 Multi-scale Gaussian representation and outline-learning based cell image segmentation
Enthalten in BMC bioinformatics Bd. 14, 12.8.2013, Nr. 10, date:8.2013: 1-14
Online Ressource
Artikel 100005 Multi-scale generative adversarial network for image super-resolution
Enthalten in Soft computing Bd. 26, 22.2.2022, Nr. 8, date:4.2022: 3631-3641
Online Ressource
Artikel 100006 Multi-scale high order finite different reverse time migration imaging
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on image and video processing Bd. 2018, 6.7.2018, Nr. 1, date:12.2018: 1-13
Online Ressource
Artikel 100007 Multi-Scale Image Artifacts Removal Network for Reducing Limited-Angle Artifacts of CL System
Enthalten in Sensing and imaging Bd. 26, 21.5.2025, Nr. 1, date:12.2025: 1-17
Online Ressource
Artikel 100008 Multi-scale Image-Based Pore Space Characterisation and Pore Network Generation: Case Study of a North Sea Sandstone Reservoir
Enthalten in Transport in porous media Bd. 129, 13.6.2019, Nr. 3, date:9.2019: 855-884
Online Ressource
Artikel 100009 Multi-scale information fusion generative adversarial network for real-world noisy image denoising
Enthalten in Machine vision and applications Bd. 35, 18.6.2024, Nr. 4, date:7.2024: 1-15
Online Ressource
Artikel 100010 Multi-scale level set image segmentation model based on genetic selection
Enthalten in Signal, image and video processing Bd. 19, 17.4.2025, Nr. 6, date:6.2025: 1-19
Online Ressource


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