Results 121 to 130 of about 2,453,874 (341)

A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Studies on deep learning dose prediction increasingly focus on 3D models with multiple input channels and data augmentation, which increases the training time and thus also the environmental burden and hampers the ease of re‐training. Here we compare 2D and 3D U‐Net models with clinical accepted plans to evaluate the appropriateness of
Rosalie Klarenberg   +2 more
wiley   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du   +7 more
wiley   +1 more source

Spatial reorganization and time-space convergence

open access: yes, 1966
Most scholars in geography and related social sciences have recognized that the locational structure of man's economic, political and cultural activities is not in a static state. Yet, very little attempt has been made to conceptualize the manner by which the spatial arrangement of man's establishments change over time.
openaire   +3 more sources

Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang   +13 more
wiley   +1 more source

Long-time convergence of an Adaptive Biasing Force method [PDF]

open access: yes, 2007
We propose a proof of convergence of an adaptive method used in molecular dynamics to compute free energy profiles. Mathematically, it amounts to studying the long-time behavior of a stochastic process which satisfies a non-linear stochastic differential
Lelievre, Tony   +3 more
core   +3 more sources

UR‐cycleGAN: Denoising full‐body low‐dose PET images using cycle‐consistent Generative Adversarial Networks

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to develop a CycleGAN based denoising model to enhance the quality of low‐dose PET (LDPET) images, making them as close as possible to standard‐dose PET (SDPET) images. Methods Using a Philips Vereos PET/CT system, whole‐body PET images of fluorine‐18 fluorodeoxyglucose (18F‐FDG) were acquired from 37 patients to ...
Yang Liu, ZhiWu Sun, HaoJia Liu
wiley   +1 more source

Future Convergences: Time Matters

open access: yes, 2022
While in the history of design, spatial qualities have been central to the search for techniques and tools, temporal qualities have come to take part in design, with the advent of the digital revolution, as qualities capable of de-forming, compressing, reconfiguring spaces, and supporting new ways of living.
openaire   +2 more sources

Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley   +5 more
wiley   +1 more source

Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions [PDF]

open access: yesarXiv, 2019
In this paper, we propose two discontinuous dynamical systems in continuous time with guaranteed prescribed finite-time local convergence to strict local minima of a given cost function. Our approach consists of exploiting a Lyapunov-based differential inequality for differential inclusions, which leads to finite-time stability and thus finite-time ...
arxiv  

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