116 citations · 251 across the 20 of their papers we have counts for
20 papers
AI Scientist Mission Control (AIMC): Visual Analytics for Human Oversight of Autonomous Scientific Discovery
Rikathi Pal, Klaus Mueller
Autonomous scientific discovery systems can generate large numbers of research ideas, experiments, and manuscripts with minimal human intervention. As these systems become increasi…
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation
Soham Bhosale, Arjun Krishna, Ge Wang +1
Medical Image Segmentation is a useful application for medical image analysis including detecting diseases and abnormalities in imaging modalities such as MRI, CT etc. Deep learnin…
Transforming the Latent Space of StyleGAN for Real Face Editing
Heyi Li, Jinlong Liu, Xinyu Zhang +3
Despite recent advances in semantic manipulation using StyleGAN, semantic editing of real faces remains challenging. The gap between the space and the + space demands an und…
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning
Arjun Krishna, Kedar Bartake, Chuang Niu +4
Deep learning has shown great promise for CT image reconstruction, in particular to enable low dose imaging and integrated diagnostics. These merits, however, stand at great odds w…
Noise Entangled GAN For Low-Dose CT Simulation
Chuang Niu, Ge Wang, Pingkun Yan +8
We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose computed tomography (CT) images from a higher dose CT image. First, we present two schemes to generate a clean CT…
Interpreting Galaxy Deblender GAN from the Discriminator's Perspective
Heyi Li, Yuewei Lin, Klaus Mueller +1
Generative adversarial networks (GANs) are well known for their unsupervised learning capabilities. A recent success in the field of astronomy is deblending two overlapping galaxy…