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A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic.
(AMER SOC CLINICAL ONCOLOGY, 2019-04-17)
PURPOSE: Dynamic network models predict clinical prognosis and inform therapeutic intervention by elucidating disease-driven aberrations at the systems level. However, the personalization of model predictions requires the ...
Designing and evaluating dose-escalation studies made easy: The MoDEsT web app.
(SAGE PUBLICATIONS LTD, 2020-04-01)
BACKGROUND/AIMS: Dose-escalation studies are essential in the early stages of developing novel treatments, when the aim is to find a safe dose for administration in humans. Despite their great importance, many dose-escalation ...
MobiDB: intrinsically disordered proteins in 2021.
(OXFORD UNIV PRESS, 2021-01-08)
The MobiDB database (URL: https://mobidb.org/) provides predictions and annotations for intrinsically disordered proteins. Here, we report recent developments implemented in MobiDB version 4, regarding the database format, ...
A novel amplitude binning strategy to handle irregular breathing during 4DMRI acquisition: improved imaging for radiotherapy purposes.
(BMC, 2019-05-14)
BACKGROUND: For radiotherapy of abdominal cancer, four-dimensional magnetic resonance imaging (4DMRI) is desirable for tumor definition and the assessment of tumor and organ motion. However, irregular breathing gives rise ...
Evaluation of Performance Tradeoffs When Using Mechanically Swept 1-D Linear Arrays for 3-D DCE-US.
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2023-07-01)
Dynamic contrast-enhanced ultrasound imaging (DCE-US) may be used to characterize tumor vascular perfusion using metrics derived from time-amplitude curves (TACs). The 3-D DCE-US enables generation of 3-D parametric maps ...
Identification of a prognostic signature in colorectal cancer using combinatorial algorithm-driven analysis.
(WILEY, 2022-05-01)
Colorectal carcinoma is one of the most common types of malignancy and a leading cause of cancer-related death. Although clinicopathological parameters provide invaluable prognostic information, the accuracy of prognosis ...
Towards real-time photon Monte Carlo dose calculation in the cloud.
(IOP Publishing Ltd, 2017-06-07)
Near real-time application of Monte Carlo (MC) dose calculation in clinic and research is hindered by the long computational runtimes of established software. Currently, fast MC software solutions are available utilising ...
Time-resolved angiography with stochastic trajectories for dynamic contrast-enhanced MRI in head and neck cancer: Are pharmacokinetic parameters affected?
(WILEY, 2016-11-01)
PURPOSE: To investigate the effects of different time-resolved angiography with stochastic trajectories (TWIST) k-space undersampling schemes on calculated pharmacokinetic dynamic contrast-enhanced (DCE) vascular parameters. ...
A kernel-based dose calculation algorithm for kV photon beams with explicit handling of energy and material dependencies.
(BRITISH INST RADIOLOGY, 2017-01-01)
OBJECTIVE: Mimicking state-of-the-art patient radiotherapy with high-precision irradiators for small animals is expected to advance the understanding of dose-effect relationships and radiobiology in general. We work on the ...
A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images.
(IOP PUBLISHING LTD, 2017-06-07)
Surrogate-driven respiratory motion models relate the motion of the internal anatomy to easily acquired respiratory surrogate signals, such as the motion of the skin surface. They are usually built by first using image ...