Results 251 to 260 of about 12,561,993 (296)

A brain-inspired approach for SAR-to-optical image translation based on diffusion models. [PDF]

Front Neurosci
Shi H, Cui Z, Chen L, He J, Yang J.
europepmc   +1 more source

Inter-vendor harmonization of CT reconstruction kernels using unpaired image translation. [PDF]

Proc SPIE Int Soc Opt Eng
Krishnan AR, Xu K, Li T, Gao C, Remedios LW, Kanakaraj P, Lee HH, Bao S, Sandler KL, Maldonado F, Išgum I, Landman BA.   +11 more
europepmc   +1 more source

Inflammation Unchecked: Concurrent Kawasaki Disease and Stevens‐Johnson Syndrome in an 18‐Month‐Old Child

Arthritis Care &Research, EarlyView.
Catherine Deffendall, Jodi Backalar, Elizabeth Acevedo Zapata, Adriana Della Porta, Lorin Bibb, Tyler Reese, Charlotte M. Brown   +6 more
wiley   +1 more source

BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models [PDF]

, 2023
Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models (DM) have shown great potentials for high-quality image synthesis, and have gained competitive performance on the task of image ...
Yukun Lai, Kaitao Xue
exaly   +2 more sources

Multimodal Unsupervised Image-to-Image Translation [PDF]

Lecture Notes in Computer Science, 2018
Unsupervised image-to-image translation is an important and challenging problem in computer vision. Given an image in the source domain, the goal is to learn the conditional distribution of corresponding images in the target domain, without seeing any pairs of corresponding images.
Serge Belongie, Ming-Yu Liu, Jan Kautz
exaly   +4 more sources

Unsupervised Image-to-Image Translation: A Review

Sensors, 2022
Supervised image-to-image translation has been proven to generate realistic images with sharp details and to have good quantitative performance. Such methods are trained on a paired dataset, where an image from the source domain already has a corresponding translated image in the target domain.
Jason Rambach, Didier Stricker, Henri Hoyez   +2 more
exaly   +4 more sources

Deep Generative Adversarial Networks for Image-to-Image Translation: A Review

Symmetry, 2020
Many image processing, computer graphics, and computer vision problems can be treated as image-to-image translation tasks. Such translation entails learning to map one visual representation of a given input to another representation.
Aziz Alotaibi
exaly   +2 more sources

MedGAN: Medical Image Translation Using GANs

Computerized Medical Imaging and Graphics, 2020
Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications. However, a large portion of recent approaches offers individualized solutions based on specialized task-specific ...
Marc Fischer, Thomas Küstner, Karim Armanious   +2 more
exaly   +2 more sources

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Quantum image translation

Quantum Information Processing, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jian Wang 0015, Nan Jiang 0005, Luo Wang
openaire   +3 more sources

Translational Imaging of Apoptosis

Anti-Cancer Agents in Medicinal Chemistry, 2009
Deregulated apoptosis is involved in several diseases including myocardial infarction, ischemia and neurodegenerative disorders, which are characterized by excessive apoptosis. In contrast, resistance to apoptosis is defined as one of the hallmarks of cancer.
Graham, Smith, Quang-Dé, Nguyen, Eric O, Aboagye   +2 more
openaire   +2 more sources