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A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics
Jiun-Lin Yan, Chao Li, Anouk van der Hoorn, Natalie R. Boonzaier, Tomasz Matys, Stephen J. Price
Jun 17, 2021
Abstract: The challenge in the treatment of glioblastoma is the failure to identify the cancer invasive area outside the contrast-enhancing tumour which leads to the high local progression rate. Our study aims to identify its...
A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics
Jiun-Lin Yan, Chao Li, Anouk van der Hoorn, Natalie R. Boonzaier, Tomasz Matys, Stephen J. Price
Aug 11, 2020
Abstract: The challenge in the treatment of glioblastoma is the failure to identify the cancer invasive area outside the contrast-enhancing tumour which leads to the high local progression rate. Our study aims to identify its...
A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics
Jiun-Lin Yan, Chao Li, Anouk van der Hoorn, Natalie R. Boonzaier, Tomasz Matys, Stephen J. Price
Jun 16, 2020
Abstract: The challenge in the treatment of glioblastoma is the failure to identify the cancer invasive area outside the contrast-enhancing tumour which leads to the high local progression rate. Our study aims to identify its...
Anouk van der Hoorn, Jiun-Lin Yan, Timothy J Larkin, Natalie R Boonzaier, Tomasz Matys, Stephen J Price
May 12, 2016
Apparent diffusion coefficient Brain tumor Glioblastoma Magnetic Resonance Imaging treatment response Aged Brain Neoplasms Cohort Studies Diffusion Magnetic Resonance Imaging Female Glioblastoma Humans Image Processing Computer-Assisted Male Middle Aged Neoplasm Recurrence Local Regression Analysis Survival Analysis Treatment Outcome Tumor Burden
Validation of a semi-automatic co-registration of MRI scans in patients with brain tumors during treatment follow-up.
Anouk van der Hoorn, Jiun-Lin Yan, Timothy J Larkin, Natalie R Boonzaier, Tomasz Matys, Stephen J Price
Apr 01, 2016
MRI brain tumors high-grade gliomas linear co-registration non-linear co-registration structural similarity treatment response validation Adult Aged Algorithms Brain Neoplasms Female Follow-Up Studies Glioblastoma Humans Image Enhancement Image Interpretation Computer-Assisted Longitudinal Studies Magnetic Resonance Imaging Male Middle Aged pattern recognition Automated Sensitivity and Specificity Subtraction Technique Treatment Outcome
A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics.
Jiun-Lin Yan, Chao Li, Anouk van der Hoorn, Natalie R Boonzaier, Tomasz Matys, Stephen J Price
Jul 02, 2020
The challenge in the treatment of glioblastoma is the failure to identify the cancer invasive area outside the contrast-enhancing tumour which leads to the high local progression rate. Our study aims to identify its progression...
Adult Aged Aminolevulinic Acid Brain Neoplasms Cohort Studies Contrast Media Diffusion Magnetic Resonance Imaging Disease Progression Female Glioblastoma Humans Image Processing Computer-Assisted Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Male Middle Aged Neural Networks Computer Optical Imaging Retrospective Studies
Multi-parametric and multi-regional histogram analysis of MRI
Chao Li, Shuo Wang, Angela Serra, Turid Torheim, Jiun-Lin Yan, Natalie R Boonzaier, Yuan Huang, Tomasz Matys, Mary A McLean, Florian Markowetz, Stephen J Price
Feb 25, 2019
OBJECTIVES: Integrating multiple imaging modalities is crucial for MRI data interpretation. The purpose of this study is to determine whether a previously proposed multi-view approach can effectively integrate the histogram...
Glioblastoma Machine Learning Magnetic Resonance Imaging Prognosis Survival Analysis Brain Brain Neoplasms Cluster Analysis Contrast Media Female Glioblastoma Humans Image Enhancement Kaplan-Meier Estimate Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Male Middle Aged Phenotype Proportional Hazards Models Reproducibility of Results Retrospective Studies
Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival.
Chao Li, Jiun-Lin Yan, Turid Torheim, Mary A McLean, Natalie R Boonzaier, Jingjing Zou, Yuan Huang, Jianmin Yuan, Bart RJ van Dijken, Tomasz Matys, Florian Markowetz, Stephen J Price
Feb 25, 2019
BACKGROUND AND PURPOSE: Glioblastoma exhibits profound intratumoral heterogeneity in perfusion. Particularly, low perfusion may induce treatment resistance. Thus, imaging approaches that define low perfusion compartments are...
diffusion imaging Glioblastoma Heterogeneity Perfusion Imaging radioresistance Tumor habitat imaging Adult Aged Chemoradiotherapy Cohort Studies Diffusion Magnetic Resonance Imaging Female Glioblastoma Humans Kaplan-Meier Estimate Magnetic Resonance Imaging Male Middle Aged Neoplasm Invasiveness Supratentorial Neoplasms Survival Rate Temozolomide Young Adult
DREAM represses distinct targets by cooperating with different THAP domain proteins.
Csenge Gal, Francesco Nicola Carelli, Alex Appert, Chiara Cerrato, Ni Huang, Yan Dong, Jane Murphy, Andrea Frapporti, Julie Ahringer
Sep 27, 2021
The DREAM (dimerization partner [DP], retinoblastoma [Rb]-like, E2F, and MuvB) complex controls cellular quiescence by repressing cell-cycle and other genes, but its mechanism of action is unclear. Here, we demonstrate that two...
dream H2A.Z H3K9me2 THAP lin-15B lin-35 lin-36 quiescence retinoblastoma TRANSCRIPTIONAL REPRESSION Animals Animals Genetically Modified Caenorhabditis elegans Caenorhabditis elegans Proteins Cell Cycle Proteins DNA Methylation E2F Transcription Factors Gene Expression Regulation Histones Promoter Regions Genetic Protein Binding Protein Interaction Domains and Motifs Retinoblastoma Protein Transcription Factors
Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma.
Bart Roelf Jan van Dijken, Peter Jan van Laar, Chao Li, Jiun-Lin Yan, Natalie Rosella Boonzaier, Stephen John Price, FCRS, Anouk van der Hoorn
Sep 05, 2018
Glioblastoma Lateral Ventricles Magnetic Resonance Imaging oncology Perfusion survival Adult Aged Brain Neoplasms Cerebral Ventricles Cerebrovascular Circulation Cohort Studies Female Glioblastoma Humans Magnetic Resonance Imaging Male Middle Aged Multimodal Imaging Survival Rate Treatment Outcome Young Adult
Parton distributions in the SMEFT from high-energy Drell-Yan tails
Admir Greljo, Shayan Iranipour, Zahari Kassabov, Maeve Madigan, James Moore, Juan Rojo, Maria Ubiali, Cameron Voisey
Jul 28, 2021
Abstract: The high-energy tails of charged- and neutral-current Drell-Yan processes provide important constraints on the light quark and anti-quark parton distribution functions (PDFs) in the large-x region. At the same time...
Scholarship Endowment Commemorates Late Alumna Lin Fearrington Thomas '81, '83
Winthrop University
Jan 01, 0001
Recent endowment has made the Lin Fearrington Thomas Scholarship a permanent fund at Winthrop. Thomas earned B.A. and M.B.A. degrees as a post-traditional student in the 1980s.
Published by: Winthrop University
Parton distributions in the SMEFT from high-energy Drell-Yan tails
Admir Greljo, Shayan Iranipour, Zahari Kassabov, Maeve Madigan, James Moore, Juan Rojo, Maria Ubiali, Cameron Voisey
Oct 24, 2021
Abstract: The high-energy tails of charged- and neutral-current Drell-Yan processes provide important constraints on the light quark and anti-quark parton distribution functions (PDFs) in the large-x region. At the same time...
A team of heterochromatin factors collaborates with small RNA pathways to combat repetitive elements and germline stress.
Alicia N McMurchy, Przemyslaw Stempor, Tessa Gaarenstroom, Brian Wysolmerski, Yan Dong, Darya Aussianikava, Alex Appert, Ni Huang, Paulina Kolasinska-Zwierz, Alexandra Sapetschnig, Eric A Miska, Julie Ahringer
Aug 17, 2017
Repetitive sequences derived from transposons make up a large fraction of eukaryotic genomes and must be silenced to protect genome integrity. Repetitive elements are often found in heterochromatin; however, the roles and...
C. elegans DNA Damage Chromosomes evolutionary biology Genes Genomics Germ line Heterochromatin nuclear RNAi piRNA repetitive elements Animals Apoptosis Caenorhabditis elegans Caenorhabditis elegans Proteins Chromosomal Proteins Non-Histone DNA Repair Gene Expression Regulation Germ Cells Heterochromatin Interspersed Repetitive Sequences RNA Interference RNA Small Interfering
Learn to Model Blurry Motion via Directional Similarity and Filtering
It is difficult to recover the motion field from a real-world footage given a mixture of camera shake and other photometric effects. In this paper we propose a hybrid framework by interleaving a Convolutional Neural Network...
Learn to Model Blurry Motion via Directional Similarity and Filtering
It is difficult to recover the motion field from a real-world footage given a mixture of camera shake and other photometric effects. In this paper we propose a hybrid framework by interleaving a Convolutional Neural Network...
Rotatable precipitates change the scale-free to scale dependent statistics in compressed Ti nano-pillars.
Yan Pan, Haijun Wu, Xiaofei Wang, Qiaoyan Sun, Lin Xiao, Xiangdong Ding, Jun Sun, Ekhard KH Salje
May 09, 2019
Compressed nano-pillars crackle from moving dislocations, which reduces plastic stability. Crackling noise is characterized by stress drops or strain bursts, which scale over a large region of sizes leading to power law...
Fast decoupled state estimation for distribution networks considering branch ampere measurements
Fast decoupled state estimation (FDSE) is proposed for distribution networks, with fast convergence and high efficiency. Conventionally, branch current magnitude measurements cannot be incorporated into FDSE models; however, in...
Three-phase optimal power flow for networked microgrids based on semidefinite programming convex relaxation
Many autonomous microgrids have high penetration of distributed generation (DG) units. Optimal power flow (OPF) is necessary for the optimal dispatch of such networked microgrids (NMGs). Existing convex relaxation methods for...
Enhanced photo-piezo-catalytic properties of Co-doped Ba<sub>0.85</sub>Ca<sub>0.15</sub>Zr<sub>0.1</sub>(Ti<sub>1-x</sub>Co<sub>x</sub>)<sub>0.9</sub> ferroelectric ceramics for dye degradation
Yan Zhao, Qianqian Xu, Xuefan Zhou, Mingyang Yan, Hanyu Gong, Xi Yuan, Hang Luo, Kechao Zhou, Dou Zhang, Chris Bowen, Yan Zhang
Mar 01, 2023
This paper provides a detailed evaluation of the photo-piezo-catalytic properties of lead-free Ba0.85Ca0.15Zr0.1(Ti1-xCox)0.9(BCZT-xCo,x = 0–0.025)...
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