Results 121 to 130 of about 5,457 (203)

Pool2Ocean: Synthetic Data Generation for Underwater Object Detection Using CycleGAN

, 2020
Faculty advisor: Junaed SattarThis research was supported by the Undergraduate Research Opportunities Program (UROP).Morse, Christopher. (2020). Pool2Ocean: Synthetic Data Generation for Underwater Object Detection Using CycleGAN.
Morse, Christopher
core  

Reducering av streak-artefakter i radiell MRT med CycleGAN

, 2020
One way of reducing the examination time in magnetic resonance imaging (MRI) is to reduce the amount of raw data acquired, by performing so-called undersampling. Conventionally, MRI data is acquired line-by-line on a Cartesian grid.
Ullvin, Amanda
core  

WAFMGAN: A frequency-aware CycleGAN for structure-consistent virtual staining of transmission electron microscopy images. [PDF]

J Microsc
Wan H, Han W, Zhu Y.
europepmc   +1 more source

CycleGAN pour la suppression des artéfacts EEG

Electroencephalogram (EEG) signals are often contaminated by electrooculogram (EOG) and electromyogram (EMG) artifacts, even in controlled environments.
Laleg-Kirati, Taous-Meriem, Guir, Abdelbaki, Filho, Israel Jesus Santos, Hamami-Mitiche, Latifa   +3 more
core   +2 more sources

DCA-CycleGAN: Unsupervised single image dehazing using Dark Channel Attention optimized CycleGAN

Journal of Visual Communication and Image Representation, 2022
Yaozong Mo, Chaofeng Li, Yuhui Zheng, Xiaojun Wu 0001   +3 more
openaire   +2 more sources

Unsupervised Annotation Transfer in Phase-Contrast Microscopy Using a CycleGAN. [PDF]

Sensors (Basel)
Al-Hamadani MNA, Hadjidemetriou S, Szeman-Nagy G, Skourides PA, Hajdu A, Harangi B.   +5 more
europepmc   +1 more source

RadiolGAN: Multicenter Feasibility Study of Synthetic CT From 3D Ultra-Short Echo Time MRI for Enhanced Pulmonary Radiologic Sign Visualization. [PDF]

J Magn Reson Imaging
Zhu X, Xia W, Xie X, Li Y, Lv Y, Sun X, Zhu Y, Shang S, Zhou L, Mo X, Bao Z, Shi J, Ye J, Cui Y, Tang C, Huang W.   +15 more
europepmc   +1 more source

Depth Image Enhancement with Sensor Fusion CycleGAN for Bin Picking Applications

147154For the task of random bin picking, a sensor that produces high quality 3D measurement data is fundamental. Nowadays, mainly expensive high-end 3D cameras fulfil these requirements and provide high resolution 3D point clouds or depth images with a ...
Stückelmaier, Emily, Mönnig, Manuel, Kraus, Werner, Völk, Markus, Bormann, Richard   +4 more
core  

Generative AI-enhanced synthetic X-ray augmentation with gradient-based selection for battery detection in WEEE. [PDF]

Front Artif Intell
Mahmood F, Chryssinas G, Inglezou M, Katralis E, Chatzakos P, Porichis A.   +5 more
europepmc   +1 more source

Deep learning-assisted needle artifact suppression for enhanced anatomical visualization in prostate high-dose-rate brachytherapy ultrasound imaging. [PDF]

Brachytherapy
Gao Y, Niedermayr T, Dai X, Charyyev S, Xing L, Bagshaw H, Buyyounouski MK.   +6 more
europepmc   +1 more source