Results 121 to 130 of about 1,095,657 (311)
Differential dementia diagnosis on incomplete data with latent trees
Incomplete patient data is a substantial problem that is not sufficiently addressed in current clinical research. Many published methods assume both completeness and validity of study data. However,this assumption is often violated as individual features
Antti Tolonen +23 more
core +1 more source
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
The Dueling Hazards of Incomplete Revascularization and Incomplete Data [PDF]
Although the survival benefit of complete revascularization after bypass surgery is well documented, the importance of opening all stenotic or occluded vessels during percutaneous coronary intervention (PCI) is less certain. On the contrary, much data support targeting only the culprit vessel during PCI. A strategy of “ischemic-driven revascularization”
openaire +1 more source
Studies using 24 h urine collections need to incorporate ways to validate the completeness of the urine samples. Models to predict urinary creatinine excretion (UCE) have been developed for this purpose; however, information on their usefulness to ...
Dekkers, A.L.M. +19 more
core +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Polyester Melt Characteristic Viscosity Prediction Method Under Incomplete Data
Characteristic viscosity is a key indicator of the quality of polyester melts, whose accurate prediction can help to identify potential quality problems of polyester melts in advance, adjust the process parameters in time and reduce enterprise losses ...
BI Jinmao, ZHANG Peng, ZHANG Jie, ZHAO Chuncai, CUI Li
doaj +1 more source
Modeling Incomplete Longitudinal Data
This article presents a review of popular parametric, semiparametric and ad-hoc approaches for analyzing incomplete longitudinal ...
Demirtas, Hakan
core +1 more source
KIF26B plays an important role in kidney development. We engineered mice lacking the C‐terminal region of KIF26B and found severe kidney defects, including bilateral renal agenesis, similar to full Kif26b knockout mice. The mutation disrupted nephron progenitor condensation and reduced Gdnf‐Wnt11 signaling, showing that the KIF26B C‐terminal region is ...
Yuta Yamamura +19 more
wiley +1 more source
Noisier2Inverse: Self-Supervised Learning for Image Reconstruction With Correlated Noise
We propose Noisier2Inverse, a correction-free, self-supervised deep learning method for general inverse problems. Our approach learns a reconstruction function without requiring ground truth data and is applicable in settings where measurement noise is ...
Nadja Gruber +5 more
doaj +1 more source

