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  • Currently displaying 341 - 360 of 1366 publications
Optical flow analysis reveals that Kinesin-mediated advection impacts on the orientation of microtubules in theDrosophilaoocyte
M Drechsler, L Lang, L Al-Khatib, H Dirks, M Burger, C-B Schönlieb, I Palacios
(2019)
556043
(doi: 10.1101/556043)
A data-centric bottom up model for generation of stochastic internal load profiles based on space-use type
R Ward, R Choudhary, Y Heo, J Aston
– Journal of Building Performance Simulation
(2019)
12,
620
(doi: 10.1080/19401493.2019.1583287)
A parallel unified transform solver based on domain decomposition for solving linear elliptic PDEs.
ENG Grylonakis, GA Gravvanis, CK Filelis-Papadopoulos, AS Fokas
– Journal of Supercomputing
(2019)
75,
4947
(doi: 10.1007/s11227-019-02772-2)
The unified transform for mixed boundary condition problems in unbounded domains.
MJ Colbrook, LJ Ayton, AS Fokas
– Proceedings of the Royal Society A
(2019)
475,
20180605
(doi: 10.1098/rspa.2018.0605)
Helmholtz Decomposition Of The Neuronal Current For The Ellipsoidal Head Model
P Hashemzadeh, AS Fokas
– Inverse Problems
(2019)
35,
025002
(doi: 10.1088/1361-6420/aaedc4)
Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma
C Li, S Wang, A Serra, T Torheim, J-L Yan, NR Boonzaier, Y Huang, T Matys, MA McLean, F Markowetz, SJ Price
– European Radiology
(2019)
29,
4718
(doi: 10.1007/s00330-018-5984-z)
Directional Sinogram Inpainting for Limited Angle Tomography
R Tovey, M Benning, C Brune, MJ Lagerwerf, SM Collins, RK Leary, PA Midgley, CB Schönlieb
– Inverse Problems
(2019)
35,
024004
(doi: 10.1088/1361-6420/aaf2fe)
Efficient multivariate entropy estimation via $k$-nearest neighbour distances
TB Berrett, RJ Samworth, M Yuan
– The Annals of Statistics
(2019)
47,
288
(doi: 10.1214/18-aos1688)
Bayesian inference-based estimation of normal aortic, aneurysmal and atherosclerotic tissue mechanical properties: from material testing, modelling and histology
S Wang, A Tokgoz, Y Huang, Y Zhang, J Feng, P Sastry, C Sun, N Figg, Q Lu, MPF Sutcliffe, Z Teng, JH Gillard
– IEEE Transactions on Biomedical Engineering
(2019)
66,
2269
(doi: 10.1109/TBME.2018.2886681)
Multi-centre study of non-accidental injury and limb fractures in young children in the East Anglia region, UK
PD Mitchell, R Brown, T Wang, RD Shah, RJ Samworth, S Deakin, P Edge, I Hudson, R Hutchinson, K Stohr, M Latimer, R Natarajan, S Qasim, A Rehm, A Sanghrajka, E Tissingh, GM Wright
– Arch Dis Child
(2019)
104,
956
(doi: 10.1136/archdischild-2018-315035)
Mini-Workshop: Deep Learning and Inverse Problems
SR Arridge, MV de Hoop, P Maaß, C-B Schönlieb
– Oberwolfach Reports
(2019)
15,
559
(doi: 10.4171/owr/2018/11)
Multi-tasking to Correct: Motion-Compensated MRI via Joint Reconstruction and Registration
V Corona, AI Aviles-Rivero, N Debroux, M Graves, C Le Guyader, CB Schönlieb, G Williams
– SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION, SSVM 2019
(2019)
11603 LNCS,
263
(doi: 10.1007/978-3-030-22368-7_21)
Explicit asymptotics for certain single and double exponential sums
K Kalimeris, AS Fokas
– Proceedings of the Royal Society of Edinburgh Section A Mathematics
(2019)
150,
607
(doi: 10.1017/prm.2018.161)
A New Approach for the Inversion of the Attenuated Radon Transform
NE Protonotarios, GA Kastis, AS Fokas
(2019)
154,
433
(doi: 10.1007/978-3-030-31339-5_16)
On Reconstructing Functions from Binary Measurements
R Calderbank, A Hansen, B Roman, L Thesing
(2019)
97
(doi: 10.1007/978-3-319-73074-5_3)
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions
P Liu, C Li, CB Schönlieb
(2019)
11766,
110
(doi: 10.1007/978-3-030-32248-9_13)
On the infinite-dimensional QR algorithm.
MJ Colbrook, AC Hansen
– Numerische Mathematik
(2019)
143,
17
(doi: 10.1007/s00211-019-01047-5)
Numerical Evaluation of Fokas’ Transform Solution of the Heat Equation on the Half-Line
M Lachaab, PR Turner, AS Fokas
(2019)
793,
245
(doi: 10.1007/978-3-319-97277-0_20)
Masking Risk Index: an evaluation to guide supplemental imaging for breast screening
S Hickman, M Pantelidou, J Mainprize, M Yaffe, Y Huang, R Black, F Gilbert
– BREAST CANCER RESEARCH
(2019)
21,
(link to publication)
On the connection between adversarial robustness and saliency map interpretability
C Etmann, S Lunz, P Maass, CB Schönlieb
– 36th International Conference on Machine Learning, ICML 2019
(2019)
2019-June,
3255
(link to publication)

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