Advancing the Volumetric Analysis of Ultra-Low-Field Brain MRI Using Image-to-Image Translation. [PDF]
Magn Reson MedABSTRACT Purpose Ultra‐low‐field (ULF) MRI offers a promising path to accessible neuroimaging, with potential to address global healthcare disparities and advance population‐level brain health research. However, the inherently low signal‐to‐noise ratio (SNR), reduced spatial resolution, and altered tissue contrasts relative to conventional high‐field ...
Hsu P +3 more
europepmc +2 more sources
Improving Accuracy of IC Surface Defects Detection via Enhanced-CycleGAN Data Augmentation
IEEE AccessAn important step in integrated circuit (IC) manufacturing is inspection of the chip surface for defects. In practice, there exists a data imbalance problem associated with IC surface defect images which affects the detection performance of a deep ...
Lamia Alam, Nasser Kehtarnavaz
doaj +2 more sources
CycleGAN-VC3: Examining and Improving CycleGAN-VCs for Mel-Spectrogram Conversion [PDF]
Interspeech 2020, 2020 Non-parallel voice conversion (VC) is a technique for learning mappings between source and target speeches without using a parallel corpus. Recently, cycle-consistent adversarial network (CycleGAN)-VC and CycleGAN-VC2 have shown promising results regarding this problem and have been widely used as benchmark methods.
Takuhiro Kaneko +3 more
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CycleGAN for interpretable online EMT compensation [PDF]
International Journal of Computer Assisted Radiology and Surgery, 2021 Abstract Purpose Electromagnetic tracking (EMT) can partially replace X-ray guidance in minimally invasive procedures, reducing radiation in the OR. However, in this hybrid setting, EMT is disturbed by metallic distortion caused by the X-ray device.
Henry John Krumb +3 more
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DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data [PDF]
, 2022 Magnetic resonance (MR) and computer tomography (CT) images are two typical types of medical images that provide mutually-complementary information for accurate clinical diagnosis and treatment.
Pourpanah, Farhad +2 more
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Frequency Schrödinger bridge diffusion model for fast MRI reconstruction in abdominal MR‐guided online adaptive radiotherapy [PDF]
J Appl Clin Med PhysAbstract Background Online adaptive radiotherapy (ART) employs modalities like CBCT, CT, and MRI. For abdominal malignancies, MRI stands out with superior soft‐tissue contrast, no ionizing radiation, and functional imaging capabilities. Yet, MRI‐guided ART for such cases is challenged by long treatment time.
Wang Z +12 more
europepmc +2 more sources
CycleGAN-based Unpaired Speech Dereverberation
Interspeech 2022, 2022 Submitted to Interspeech ...
Hannah Muckenhirn +6 more
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Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
Sensors, 2022 We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images.
Zhaohui Liang +2 more
doaj +1 more source
CycleGAN, a Master of Steganography
CoRR, 2017 NIPS 2017, workshop on Machine ...
Casey Chu +2 more
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SL-CycleGAN: Blind Motion Deblurring in Cycles using Sparse Learning [PDF]
, 2022 In this paper, we introduce an end-to-end generative adversarial network (GAN) based on sparse learning for single image motion deblurring, which we called SL-CycleGAN.
Liu, Zhiyong +5 more
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