Results 71 to 80 of about 961,218 (296)

Change detection of urban objects using point clouds

, 2022
5867Change detection in urban areas requires the comparison of multi-temporal data. In contrast to broad research activities in remote sensing this contribution addresses the topic using 3D data (point clouds) instead of 2D data (images).
Tuttas, Sebastian, Hebel, Marcus, Stilla, Uwe   +2 more
core  

Estimation of the distribution of change-points with appliction to fMRI data [PDF]

, 2011
Change-point detection in sequences of functional data is examined where the functional observations are dependent and where the distributions of change- points from multiple subjects is required.
Aston, John A. D., Kirch, Claudia
core   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm, Bea Tornberg, Erik Delsing Malmberg, Henrik Hasle, Kristian Løvvik Juul‐Dam, Lars Palmqvist, Borhan R. Saeed, Giti Shah Barkhordar, Anastasia Soboli, Anna Staffas, Jonas Abrahamsson, Linda Fogelstrand   +11 more
wiley   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

3D urban object change detection from aerial and terrestrial point clouds: A review

International Journal of Applied Earth Observations and Geoinformation, 2023
Change detection has been increasingly studied in remote and close-range sensing in the last decades, driven by its importance in environment monitoring and database updating.
Wen Xiao, Hui Cao, Miao Tang, Zhenchao Zhang, Nengcheng Chen   +4 more
doaj   +1 more source

Increased Risk of Sarcomas in Children With Congenital Anomalies: Findings From the Genetic Overlap Between Anomalies and Cancer in Kids (GOBACK) Registry Linkage Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters, Ji Yun Tark, Tiffany M. Chambers, Tania A. Desrosiers, Michael E. Scheurer, Charles Shumate, Wendy N. Nembhard, Mahsa M. Yazdy, Eirini Nestoridi, Amanda E. Janitz, Jean Paul Tanner, Russell S. Kirby, Jason L. Salemi, Yao Yu, Chad D. Huff, Sharon E. Plon, Philip J. Lupo, Jeremy M. Schraw   +17 more
wiley   +1 more source

Non-parametric change-point method for differential gene expression detection. [PDF]

PLoS ONE, 2011
BACKGROUND: We proposed a non-parametric method, named Non-Parametric Change Point Statistic (NPCPS for short), by using a single equation for detecting differential gene expression (DGE) in microarray data.
Yao Wang, Chunguo Wu, Zhaohua Ji, Binghong Wang, Yanchun Liang   +4 more
doaj   +1 more source

DETECTING UNKNOWN CHANGE POINTS FOR HETEROSKEDASTIC DATA

Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 2023
There are several tests to detect structural change at unknown change points. The Andrews Sup F test (1993) is the most powerful, but it requires the assumption of homoskedasticity. Ahmed et al. (2017) introduced the Sup MZ test, which relaxes this assumption and tests for changes in both the coefficients of regression and variance simultaneously.
Sıdıka Başçı, Asad Ul Islam Khan
openaire   +3 more sources

Efficacy and Safety Analysis of Roxarestat in Regulating Renal Anemia in Patients on Maintenance Hemodialysis

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Objective To compare the efficacy and safety of roxarestat versus recombinant human erythropoietin (rhEPO) in the management of renal anemia in patients undergoing maintenance hemodialysis. Methods This was a prospective, open‐label, randomized controlled trial.
Lingling Chen, Junjie Zhu, Qiaonan Ge
wiley   +1 more source

Change Point Detection for Diversely Distributed Stochastic Processes Using a Probabilistic Method

Inventions, 2019
Unpredicted deviations in time series data are called change points. These unexpected changes indicate transitions between states. Change point detection is a valuable technique in modeling to estimate unanticipated property changes underlying time ...
Muhammad Rizwan Khan, Biswajit Sarkar
doaj   +1 more source