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- Currently displaying 281 - 300 of 1369 publications
A Spline Approach to Parallel-Hole Collimator Deblurring for aSRT-Reconstructed SPECT Images.
– 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)
(2019)
00,
326
(doi: 10.1109/bibe.2019.00065)
The conditional permutation test for independence while controlling for confounders
– Journal of the Royal Statistical Society Series B: Statistical Methodology
(2019)
82,
175
(doi: 10.1111/rssb.12340)
Stability analysis of line patterns of an anisotropic interaction model
– SIAM Journal on Applied Dynamical Systems
(2019)
18,
1798
(doi: 10.1137/18m1181638)
GraphX$^\mathbf{\small NET } -$ Chest X-Ray Classification Under Extreme Minimal Supervision
– Lecture Notes in Computer Science
(2019)
11769,
504
(doi: 10.1007/978-3-030-32226-7_56)
Evolution equations on time-dependent intervals
– IMA Journal of Applied Mathematics
(2019)
84,
1044
(doi: 10.1093/imamat/hxz025)
Intra-tumoural perfusion habitats showed prognostic value in glioblastoma patients
– Neuro-oncology
(2019)
21,
iv3
Abstracts from the BNOS 2019 Meeting July 3–5, 2019 London, UK
– Neuro-oncology
(2019)
21,
NP
RainFlow: Optical flow under rain streaks and rain veiling effect
– 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)
(2019)
00,
7303
(doi: 10.1109/iccv.2019.00740)
Artificial intelligence in clinical imaging: a health system approach.
– Clinical radiology
(2019)
75,
3
(doi: 10.1016/j.crad.2019.09.122)
Rejoinder for “A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain”
– Journal of the American Statistical Association
(2019)
114,
1103
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
– APL Materials
(2019)
7,
(doi: 10.1063/1.5120093)
Phase diagrams of liquid-phase mixing in multi-component metal-organic framework glasses constructed by quantitative elemental nano-tomography
– APL Materials
(2019)
7,
091111
(doi: 10.1063/1.5120093)
P14.129 Predicting glioblastoma invasion using multiparametric MRI and a bi-level machine learning approach
– Neuro-Oncology
(2019)
21,
99
(doi: 10.1093/neuonc/noz126.364)
14th Meeting of the European Association of Neuro-Oncology September 19–22, 2019 Lyon, France
– Neuro-oncology
(2019)
21,
NP
Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma
– European Radiology
(2019)
29,
235861
(doi: 10.1007/s00330-018-5984-z)
The foundations of spectral computations via the Solvability Complexity
Index hierarchy
(2019)
Statistical Analysis of Functions on Surfaces, With an Application to Medical Imaging
– Journal of the American Statistical Association
(2019)
115,
1420
Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data.
– CoRR
(2019)
abs/1908.05285,
On Reconstructing Functions from Binary Measurements
(2019)
Isotonic regression in general dimensions
– The Annals of Statistics
(2019)
47,
2440
(doi: 10.1214/18-aos1753)