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  • Currently displaying 381 - 400 of 1367 publications
Liquid phase blending of metal-organic frameworks (vol 9, 2135, 2018)
L Longley, SM Collins, C Zhou, GJ Smales, SE Norman, NJ Brownbill, CW Ashling, PA Chater, R Tovey, C-B Schönlieb, TF Headen, NJ Terrill, Y Yue, AJ Smith, F Blanc, DA Keen, PA Midgley, TD Bennett
– Nature Communications
(2018)
9,
4402
(doi: 10.1038/s41467-018-07000-8)
Equations of motion of self-gravitating N -body systems in the first post-Minkowskian approximation
L Blanchet, AS Fokas
– Physical Review D
(2018)
98,
084005
(doi: 10.1103/physrevd.98.084005)
Winners and Losers: Communicating the Potential Impacts of Policies: Commentary on Zeller.
C Brick, DJ Spiegelhalter
– Nicotine & Tobacco Research
(2018)
21,
336
(doi: 10.1093/ntr/nty197)
The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages
JAD Aston, D Pigoli, P Hadjipantelis, J Coleman
– Journal of the Royal Statistical Society. Series C: Applied Statistics
(2018)
67,
1103
(doi: 10.1111/rssc.12258)
RADIOMIC FEATURES FROM PHYSIOLOGICAL MRI SHOWS IMPROVED ACCURACY OVER STRUCTURAL MRI IN PREDICTING MGMT PROMOTER METHYLATION IN GLIOBLASTOMA
C Li, S Wang, F Markowetz, S Price
– Neuro-Oncology
(2018)
20,
352
(doi: 10.1093/neuonc/noy129.039)
Adaptation in log-concave density estimation
AKH Kim, A Guntuboyina, RJ Samworth
– The Annals of Statistics
(2018)
46,
2279
(doi: 10.1214/17-aos1619)
RADIOMIC FEATURES FROM PHYSIOLOGICAL MRI SHOWS IMPROVED ACCURACY OVER STRUCTURAL MRI IN PREDICTING MGMT PROMOTER METHYLATION IN GLIOBLASTOMA
C Li, S Wang, F Markowetz, S Price
– Neuro-oncology
(2018)
20,
v352
Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma.
BRJ van Dijken, P Jan van Laar, C Li, J-L Yan, NR Boonzaier, SJ Price, FCRS, A van der Hoorn
– J Neurosurg
(2018)
131,
717
(doi: 10.3171/2018.5.jns18340)
A multiple myeloma classification system that associates normal B-cell subset phenotypes with prognosis.
JS Bødker, RF Brøndum, A Schmitz, AA Schönherz, DS Jespersen, M Sønderkær, C Vesteghem, H Due, CH Nørgaard, M Perez-Andres, MK Samur, F Davies, B Walker, C Pawlyn, M Kaiser, D Johnson, U Bertsch, A Broyl, M van Duin, R Shah, P Johansen, MA Nørgaard, RJ Samworth, P Sonneveld, H Goldschmidt, GJ Morgan, A Orfao, N Munshi, HE Johnson, T El-Galaly, K Dybkær, M Bøgsted
– Blood Adv
(2018)
2,
2400
(doi: 10.1182/bloodadvances.2018018564)
Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts.
L Calatroni, M d'Autume, R Hocking, S Panayotova, S Parisotto, P Ricciardi, C-B Schönlieb
– Heritage Science
(2018)
abs/1803.07187,
56
(doi: 10.1186/s40494-018-0216-z)
Intratumoral Heterogeneity of Glioblastoma Infiltration Revealed by Joint Histogram Analysis of Diffusion Tensor Imaging
C Li, S Wang, J-L Yan, RJ Piper, H Liu, T Torheim, H Kim, J Zou, NR Boonzaier, R Sinha, T Matys, F Markowetz, SJ Price
– Clinical Neurosurgery
(2018)
85,
524
(doi: 10.1093/neuros/nyy388)
Complexification and integrability in multidimensions
AS Fokas, MC Van der Weele
– Journal of Mathematical Physics
(2018)
59,
091413
(doi: 10.1063/1.5032110)
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models
B Dai, Y Wang, J Aston, G Hua, D Wipf
– Journal of Machine Learning Research
(2018)
19,
1
(link to publication)
Asymptotics to all orders of the Hurwitz zeta function
A Fernandez, AS Fokas
– Journal of Mathematical Analysis and Applications
(2018)
465,
423
(doi: 10.1016/j.jmaa.2018.05.012)
Rogue waves of the nonlocal Davey–Stewartson I equation
J Rao, Y Zhang, AS Fokas, J He
– Nonlinearity
(2018)
31,
4090
(doi: 10.1088/1361-6544/aac761)
Linear reconstructions and the analysis of the stable sampling rate
L Thesing, AC Hansen
– Sampling Theory in Signal and Image Processing
(2018)
Local convergence properties of SAGA/Prox-SVRG and acceleration
C Poon, J Liang, CB Schönlieb
– 35th International Conference on Machine Learning, ICML 2018
(2018)
9,
6585
Supplementary material for "local convergence properties of SAGA/Prox-SVRG and acceleration"
C Poon, J Liang, CB Schönlieb
– 35th International Conference on Machine Learning, ICML 2018
(2018)
9,
6594
18 The effects of communicating uncertainty about facts and numbers
AMVD Bles, SVD Linden, A Freeman, D Spiegelhalter
– Oral Sessions
(2018)
23,
A9.2
(doi: 10.1136/bmjebm-2018-111024.18)
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
AM Alaa, M Van Der Schaar
– IEEE Journal of Selected Topics in Signal Processing
(2018)
12,
1031
(doi: 10.1109/JSTSP.2018.2848230)

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