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  • Currently displaying 181 - 200 of 269 publications
Accurate measurement of tropical forest canopy heights and aboveground carbon using structure from motion
T Swinfield, JA Lindsell, JV Williams, RD Harrison, Agustiono, Habibi, E Gemita, CB Schönlieb, DA Coomes
– Remote Sensing
(2019)
11,
955
(doi: 10.3390/rs11080955)
Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion
T Swinfield, JA Lindsell, JV Williams, RD Harrison, Agustiono, Habibi, E Gemita, CB Schonlieb, DA Coomes
– Remote Sensing
(2019)
11,
928
(doi: 10.3390/rs11080928)
Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated Survivals
C Li, S Wang, P Liu, T Torheim, NR Boonzaier, BR van Dijken, C-B Schönlieb, F Markowetz, SJ Price
– Neoplasia (United States)
(2019)
21,
442
(doi: 10.1016/j.neo.2019.03.005)
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)
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)
Mutual component convolutional neural networks for heterogeneous face recognition
Z Deng, X Peng, Z Li, Y Qiao
– IEEE Transactions on Image Processing
(2019)
28,
3102
(doi: 10.1109/tip.2019.2894272)
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)
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)
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)
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,
263
(doi: 10.1007/978-3-030-22368-7_21)
P29 MECHANISMS OF VASCULAR ENDOTHELIAL GROWTH FACTOR INHIBITION INDUCED HYPERTENSION
K Maki-Petaja, A McGeoch, L Yang, A Hubsch, C McEniery, F Mir, P Gajendragadkar, N Ramenatte, G Anandappa, C Brune, Y Boink, C Bibiane-Schonlieb, P Meyer, S Bond, I Wilkinson, D Jodrell, J Cheriyan
– Artery Research
(2018)
24,
87
(doi: 10.1016/j.artres.2018.10.082)
Faster fista
J Liang, CB Schönlieb
– 2018 26th European Signal Processing Conference (EUSIPCO)
(2018)
00,
1
(doi: 10.23919/eusipco.2018.8553411)
Variational image regularization with euler’s elastica using a discrete gradient scheme
T Ringholm, J Lazić, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2018)
11,
2665
(doi: 10.1137/17m1162354)
A Convex Geodesic Selective Model for Image Segmentation
M Roberts, K Chen, KL Irion
– Journal of Mathematical Imaging and Vision
(2018)
61,
482
(doi: 10.1007/s10851-018-0857-2)
Publisher Correction: Liquid phase blending of metal-organic frameworks
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)
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
– Herit Sci
(2018)
abs/1803.07187,
56
(doi: 10.1186/s40494-018-0216-z)
Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models
M Roberts, K Chen, KL Irion
– International Journal of Computer Mathematics
(2018)
96,
1623
(doi: 10.1080/00207160.2018.1494827)
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
Liquid phase blending of metal-organic frameworks.
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
– Nat Commun
(2018)
9,
2135
(doi: 10.1038/s41467-018-04553-6)

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