Results 51 to 60 of about 396,477 (272)

Patient Activation in Childhood, Adolescent, and Young Adult Cancer Survivors: Current Insights and Implications for Survivorship Care—A Systematic Review From the e‐QuoL Project

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Patient activation—encompassing knowledge, confidence, and skills in managing individual's health—is a cornerstone of person‐centered care. However, its significance among childhood, adolescent, and young adult cancer survivors (CAYACS) remains unexplored. This article examines the application of the 13‐item Patient Activation Measure (
Charlotte Demoor‐Goldschmidt, Anne Maas, Gisela Michel, Amandine Bertrand, Kristen E. T. Thornton, Martine Bellanger, Anna‐Liesa Filbert, Desiree Grabow, Monica Muraca, Katharina Roser, Sara Oberti, Jelena Roganovic, Hanne Cathrine Lie   +12 more
wiley   +1 more source

Utility of Computed Tomography Surveillance of Asymptomatic Infection in Children and Young Adults Before Allogeneic Hematopoietic Stem Cell Transplant

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark, Pradipta Debnath, Rama S. Ayyala, Lara A. Danziger‐Isakov, Jane Koo, Kasiani C. Myers, William R. Otto, Aki Tanimoto, Andrew T. Trout, Cara E. Morin   +9 more
wiley   +1 more source

2D/3D-MGR: A 2D/3D Medical Image Registration Framework Based on DRR

IEEE Access
Medical image registration is a crucial process in medical image analysis. However, traditional 2D and 3D medical image registration methods often struggle to accommodate the complex variations and conditions present in medical images.
Zhuoyuan Li, Xuquan Ji, Chuantao Wang, Wenyong Liu, Feiyu Zhu, Jiliang Zhai   +5 more
doaj   +1 more source

Distributed-memory large deformation diffeomorphic 3D image registration

, 2016
We present a parallel distributed-memory algorithm for large deformation diffeomorphic registration of volumetric images that produces large isochoric deformations (locally volume preserving).
Biros, George, Gholami, Amir, Mang, Andreas   +2 more
core   +1 more source

Medical image registration via neural fields

Medical Image Analysis
Image registration is an essential step in many medical image analysis tasks. Traditional methods for image registration are primarily optimization-driven, finding the optimal deformations that maximize the similarity between two images. Recent learning-based methods, trained to directly predict transformations between two images, run much faster, but ...
Shanlin Sun, Kun Han, Chenyu You, Hao Tang, Deying Kong, Junayed Naushad, Xiangyi Yan, Haoyu Ma, Pooya Khosravi, James S. Duncan, Xiaohui Xie   +10 more
openaire   +3 more sources

Unheard and Under‐Supported: Health‐Related Quality of Life in Children, Adolescents, and Young Adults With Sickle Cell Disease

Pediatric Blood &Cancer, EarlyView.
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia, Giulia Reggiani, Elizabeth J. Maran, Maria Elisa Delle Fave, Ilaria Baido, Anna Chiara Frigo, Maria Paola Boaro, Raffaella Colombatti   +7 more
wiley   +1 more source

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 more
wiley   +1 more source

Multistep Networks for Deformable Multimodal Medical Image Registration

IEEE Access
We proposed neural networks for deformable multimodal medical image registration that use multiple steps and varying resolutions. The networks were trained jointly in an unsupervised manner with Mutual Information and Gradient L2 loss.
Anika Strittmatter, Frank G. Zollner
doaj   +1 more source

Diffeomorphic density matching by optimal information transport

, 2015
We address the following problem: given two smooth densities on a manifold, find an optimal diffeomorphism that transforms one density into the other.
Bauer, Martin, Joshi, Sarang, Modin, Klas   +2 more
core   +2 more sources

Multimodal Medical Image Registration

, 2014
This poster was presented at IET Event 2014 at Coventry University.
Reel, Parminder Singh, Dooley, Laurence S., K.C.P Wong   +2 more
openaire   +1 more source