Xia Zhong

Lehrstuhl für Informatik 5 (Mustererkennung)

Improving Generalization Capability of Multiorgan Segmentation Models Using Dual-Energy CT (2022) Chen S, Zhong X, Dorn S, Ravikumar N, Tao Q, Huang X, Lell M, et al. Journal article Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images (2021) Zhong X, Amrehn M, Ravikumar N, Chen S, Strobel N, Birkhold A, Kowarschik M, et al. Journal article Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning (2020) Roser P, Zhong X, Birkhold A, Preuhs A, Syben-Leisner C, Hoppe E, Strobel N, et al. Book chapter / Article in edited volumes Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge (2020) Xiao Y, Maier A, Wein W, Shams R, Kadoury S, Drobny D, Modat M, et al. Journal article Automatic Multi-organ Segmentation in Dual Energy CT (DECT) with Dedicated 3D Fully Convolutional DECT Networks (2020) Chen S, Zhong X, Hu S, Dorn S, Kachelriess M, Lell M, Maier A Journal article, Original article Imitation learning network for fundus image registration using a divide-and-conquer approach (2020) Bayer S, Zhong X, Fu W, Ravikumar N, Maier A Conference contribution Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach (2020) Bayer S, Zhong X, Fu W, Ravikumar N, Maier A Conference contribution, Conference Contribution Physics-driven learning of x-ray skin dose distribution in interventional procedures (2019) Roser P, Zhong X, Birkhold A, Strobel N, Kowarschik M, Fahrig R, Maier A Journal article, Original article Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation (2019) Zhong X, Roser P, Bayer S, Ravikumar N, Strobel N, Birkhold A, Horz T, et al. Conference contribution, Conference Contribution Pitfalls in interventional X-ray organ dose assessment—combined experimental and computational phantom study: application to prostatic artery embolization (2019) Roser P, Birkhold A, Zhong X, Ochs P, Stepina E, Kowarschik M, Fahrig R, Maier A Journal article, Original article