Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"CycleGAN"”.
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POCS Augmented CycleGAN for MR Image Reconstruction
… Generative Adversarial Network with Cycle loss (CycleGAN), with a traditional data reconstruction method: Projection Onto Convex Sets (POCS). Experiments were then performed to evaluate the method by comparing it to several existing state-of-the-art methods. Our results demonstrate that the …
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Generative AI for osteoarthritis imaging: CycleGAN-based synthesis and U-net3D segmentation
… This thesis investigates the application of CycleGAN and Unet3D in two medical imaging tasks: hand osteoarthritis (HOA) and knee effusion. The experiment results demonstrate promising findings in improving the accuracy of image classification and segmentation tasks.
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Generative Adversarial Network (GAN) for Medical Image Synthesis and Augmentation
… cycle-consistent adversarial network (Ad CycleGAN) is proposed. We respectively use a malaria blood cell dataset (19,578 images) and a COVID-19 chest X-ray dataset (2,347 images) to test the new Ad CycleGAN. The quantitative metrics include mean squared error (MSE), root mean squared error …
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Synthesizing Realistic Data for Vision Based Drone-to-Drone Detection
… issue, we used Generative Adversarial Networks, CycleGAN to be precise, for the generation of realistic looking fake images which were indistinguishable from real data. CycleGAN is a classic example of Image to Image Translation technique, and we this applied in our situation where synthetic …
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Machine Learning Methods for Personalized Treatment Response Characterization Using Clinical Care Brain MRI and Non-Imaging Data in Multiple Sclerosis
… using a leading deep learning technique called CycleGAN. The focus was on T1-weighted MRI that was unavailable the most. The second Aim was to investigate models based on a top-ranking convolutional neural network, ResNet50, for predicting 2-year treatment response using Clinical Only, MRI Only, …
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Estimation of Global Illumination using Cycle-Consistent Adversarial Networks
… using Cycle-Consistent Adversarial Networks (CycleGAN), to generate realistic images and estimate global illumination in real-time, significantly reducing the need for extensive expertise and time investment. Our experiments on the Blender and Portal datasets demonstrate the model's ability to …
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Homo prospectus to robo prospectus : towards predictive algorithms for advanced autonomous vehicle perception
… how synthetic datasets generated using CycleGAN architectures can drastically improve the performance of state-of-the-art detectors in challenging conditions such as night-time and rainy environments. This approach not only enhances detection capabilities but also circumvents the …
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Data-driven cyber-physical energy systems
… multiple data augmentation techniques (e.g., CycleGAN, latent diffusion models, and Generative Adversarial networks) to build a large rooftop satellite imagery dataset (RSID) to learn more samples and features. This dissertation shows that my SolarDetector can accurately and reliably report …
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Artificial Intelligence Tools Applied to the Machine Fault Diagnosis of the Rotor-Bearing System
L'abstract è presente nell'allegato / the abstract is in the attachment