activity
20182020
most citedEvaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge

74 citations · 87 across the 6 of their papers we have counts for

collaborators

6 papers

physics.med-ph2020

Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning

Philipp Roser, Xia Zhong, Annette Birkhold +7

Scattered radiation is a major concern impacting X-ray image-guided procedures in two ways. First, back-scatter significantly contributes to patient (skin) dose during complicated…

physics.med-ph2020★ 11 cited

Pitfalls in interventional X-ray organ dose assessment -- combined experimental and computational phantom study: application to prostatic artery embolization

Philipp Roser, Annette Birkhold, Xia Zhong +5

With X-ray radiation protection and dose management constantly gaining interest in interventional radiology, novel procedures often undergo prospective dose studies using anthropom…

physics.med-ph2020★ 1 cited

Effects of Tissue Material Properties on X-Ray Image, Scatter and Patient Dose Determined using Monte Carlo Simulations

Philipp Roser, Annette Birkhold, Xia Zhong +4

With increasing patient and staff X-ray radiation awareness, many efforts have been made to develop accurate patient dose estimation methods. To date, Monte Carlo (MC) simulations…

eess.IV2019

Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach

Siming Bayer, Xia Zhong, Weilin Fu +2

Comparison of microvascular circulation on fundoscopic images is a non-invasive clinical indication for the diagnosis and monitoring of diseases, such as diabetes and hypertensions…

eess.IV2019★ 74 cited

Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge

Yiming Xiao, Hassan Rivaz, Matthieu Chabanas +13

In brain tumor surgery, the quality and safety of the procedure can be impacted by intra-operative tissue deformation, called brain shift. Brain shift can move the surgical targets…

cs.CV2018★ 1 cited

Action Learning for 3D Point Cloud Based Organ Segmentation

Xia Zhong, Mario Amrehn, Nishant Ravikumar +6

We propose a novel point cloud based 3D organ segmentation pipeline utilizing deep Q-learning. In order to preserve shape properties, the learning process is guided using a statist…