no code implementations • 9 Jun 2022 • Trung-Hieu Tran, Kaicong Sun, Sven Simon
The experimental results show that our approach achieves better reconstruction quality under severe mixed-noise conditions as compared to the state-of-the-art approaches.
no code implementations • 9 Mar 2022 • Ammar Alsaffar, Kaicong Sun, Sven Simon
Compared to the state-of-the-art empirical BH correction method, the experiments show that the proposed method can highly reduce the BH artifacts without prior knowledge of the materials.
no code implementations • 31 Jan 2022 • Ammar Alsaffar, Steffen Kieß, Kaicong Sun, Sven Simon
Besides, it is shown that for real-world high-resolution flat-panel CT, scatter correction with sufficient accuracy is accomplished within one to three iterations using a FBP and a forward projection computed with the proposed fast MC photon transport model.
no code implementations • 30 Dec 2021 • Kaicong Sun, Sven Simon
In this work, we consider SR as a preprocessing technique and present a CNN-based resolution enhancement module (REM) which can be easily plugged into the registration network in a cascaded manner.
no code implementations • 9 Aug 2021 • Kaicong Sun, Trung-Hieu Tran, Jajnabalkya Guhathakurta, Sven Simon
Multi-image super-resolution (MISR) usually outperforms single-image super-resolution (SISR) under a proper inter-image alignment by explicitly exploiting the inter-image correlation.
no code implementations • 1 Jun 2021 • Kaicong Sun, Sven Simon
In this paper, we propose a regularization technique for noisy-image super-resolution and image denoising.
no code implementations • 4 Nov 2020 • Kaicong Sun, Sven Simon
Comparing to the auxiliary loss using average Dice score, the proposed multi-label segmentation loss does not induce additional memory cost in the training phase and can be employed on images with arbitrary amount of categories.