Results 11 to 20 of about 5,457 (203)
DSA-CycleGAN: A Domain Shift Aware Cyclegan for Robust Multi-Stain Glomeruli Segmentation
A key challenge in segmentation in digital histopathology is inter- and intra-stain variations as it reduces model performance. Labelling each stain is expensive and time-consuming so methods using stain transfer via CycleGAN, have been developed for training multi-stain segmentation models using labels from a single stain. Nevertheless, CycleGAN tends
Lampert, Thomas +2 more
core +8 more sources
Mol-CycleGAN: a generative model for molecular optimization [PDF]
AbstractDesigning a molecule with desired properties is one of the biggest challenges in drug development, as it requires optimization of chemical compound structures with respect to many complex properties. To improve the compound design process, we introduce Mol-CycleGAN—a CycleGAN-based model that generates optimized compounds with high structural ...
Lukasz Maziarka +5 more
openaire +12 more sources
Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation
Research exploring CycleGAN-based synthetic image generation has recently accelerated in the medical community due to its ability to leverage unpaired images effectively.
Suraj Pai +7 more
doaj +2 more sources
POCS-Augmented CycleGAN for MR Image Reconstruction
Recent years have seen increased research interest in replacing the computationally intensive Magnetic resonance (MR) image reconstruction process with deep neural networks.
Yiran Li +5 more
doaj +2 more sources
Development of Road Surface Detection Algorithm Using CycleGAN-Augmented Dataset
Road surface detection is important for safely driving autonomous vehicles. This is because the knowledge of road surface conditions, in particular, dry, wet, and snowy surfaces, should be considered for driving control of autonomous vehicles.
Wansik Choi, Jun Heo, Changsun Ahn
doaj +2 more sources
Plasma-CycleGAN: Plasma Biomarker-Guided MRI to Pet Cross-Modality Translation Using Conditional CycleGAN [PDF]
Cross-modality translation between MRI and PET imaging is challenging due to the distinct mechanisms underlying these modalities. Blood-based biomarkers (BBBMs) are revolutionizing Alzheimer's disease (AD) detection by identifying patients and quantifying brain amyloid levels.
Yanxi Chen 0002 +8 more
core +6 more sources
Kernel of CycleGAN as a Principle homogeneous space
Accepted at ICLR ...
Nikita Moriakov +2 more
openaire +4 more sources
OS-CycleGAN: Modified CycleGAN-Based Descriptors for Optical and SAR Image Matching
Peer ...
Liaghat, Alireza +4 more
openaire +3 more sources
FL-CycleGAN: Enhancing Mobile Photography with Federated Learning-Enabled CycleGAN
Mobile image photography is continuously emerging as an area of interest, yet achieving professional-level camera quality remains a challenge due to hardware limitations.
Ramindu Walgama, K.T. Yasas Mahima
openaire +2 more sources
The underwater imaging process is often hindered by high noise levels, blurring, and color distortion due to light scattering, absorption, and suspended particles in the water.
Jiangyan Wu, Guanghui Zhang, Yugang Fan
doaj +2 more sources

