Results 61 to 70 of about 1,397,164 (333)
Pediatric Blood &Cancer, EarlyView.ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source
Multi-Pedestrian Tracking Based on Improved Two Step Data Association
IEEE Access, 2019 The multi-object tracking (MOT) algorithms based on tracking by detection framework are the state-of-the-art trackers in recent years. Association optimization and association affinity model are two key parts in MOT, which have attracted attention to ...
Honghong Yang +5 more
doaj +1 more source
Subspace-constrained approaches to low-rank fMRI acceleration
NeuroImage, 2021 Acceleration methods in fMRI aim to reconstruct high fidelity images from under-sampled k-space, allowing fMRI datasets to achieve higher temporal resolution, reduced physiological noise aliasing, and increased statistical degrees of freedom.
Harry T. Mason +3 more
doaj +1 more source
Parent‐to‐Child Information Disclosure in Pediatric Oncology
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor +12 more
wiley +1 more source
Convolutional Neural Network Compression via Dynamic Parameter Rank Pruning
IEEE AccessWhile Convolutional Neural Networks (CNNs) excel at learning complex latent-space representations, their over-parameterization can lead to overfitting and reduced performance, particularly with limited data.
Manish Sharma +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.Abstract Introduction The TEDDI trial tested the feasibility and reproducibility of deep‐inspiration breath‐hold (DIBH) in pediatric patients referred for radiotherapy. This report presents final results, including patient‐reported outcomes (PRO) and dosimetric comparison of DIBH and free‐breathing (FB).
Daniella Elisabet Østergaard +11 more
wiley +1 more source
Activation-Based Pruning of Neural Networks
AlgorithmsWe present a novel technique for pruning called activation-based pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model
Tushar Ganguli, Edwin K. P. Chong
doaj +1 more source
A Group Norm Regularized Factorization Model for Subspace Segmentation
IEEE Access, 2020 Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace.
Xishun Wang +3 more
doaj +1 more source
Model of THG and EFISH using the SBHM
, 2015 We report for the first time a comprehensive study of the fourth rank tensor describing third harmonic generation (THG) and electric field induced second harmonic (EFISH) in centrosymmetric material from two different viewpoints: Group Theory (GT) and ...
Alejo-Molina, Adalberto +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source