Search Results for author: Juergen Hahn

Found 2 papers, 1 papers with code

Noise Entangled GAN For Low-Dose CT Simulation

no code implementations18 Feb 2021 Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, KyleJ. Myers, Rongping Zeng

We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose computed tomography (CT) images from a higher dose CT image.

Computed Tomography (CT)

Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising

1 code implementation17 Jan 2019 Fenglei Fan, Hongming Shan, Mannudeep K. Kalra, Ramandeep Singh, Guhan Qian, Matthew Getzin, Yueyang Teng, Juergen Hahn, Ge Wang

Inspired by complexity and diversity of biological neurons, our group proposed quadratic neurons by replacing the inner product in current artificial neurons with a quadratic operation on input data, thereby enhancing the capability of an individual neuron.

Image Denoising

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