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  • Currently displaying 281 - 300 of 617 publications
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT III
(2022)
13433,
717
(doi: 10.1007/978-3-031-16437-8_69)
Beyond fine-tuning: Classifying high resolution mammograms using function-preserving transformations.
T Wei, AI Aviles-Rivero, S Wang, Y Huang, FJ Gilbert, C-B Schönlieb, CW Chen
– Med Image Anal
(2022)
82,
102618
(doi: 10.1016/j.media.2022.102618)
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
– MICCAI 2022
(2022)
(doi: 10.48550/arxiv.2204.02399)
Iterative phase contrast CT reconstruction with novel tomographic operator and data-driven prior.
S van Gogh, S Mukherjee, J Xu, Z Wang, M Rawlik, Z Varga, R Alaifari, C-B Schönlieb, M Stampanoni
– PloS one
(2022)
17,
e0272963
(doi: 10.1371/journal.pone.0272963)
Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art
S Hatamikia, A Biguri, G Herl, G Kronreif, T Reynolds, J Kettenbach, T Russ, A Tersol, A Maier, M Figl, JH Siewerdsen, W Birkfellner
– Physics in medicine and biology
(2022)
67,
16TR03
(doi: 10.1088/1361-6560/ac8590)
Unsupervised Image Restoration Using Partially Linear Denoisers
R Ke, C-B Schonlieb
– IEEE Trans Pattern Anal Mach Intell
(2022)
44,
5796
(doi: 10.1109/tpami.2021.3070382)
Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting
L Liu, C Hong, AI Aviles-Rivero, C-B Schönlieb
– MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2022
(2022)
13413 LNCS,
130
(doi: 10.1007/978-3-031-12053-4_10)
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma
Y Li, C Li, Y Wei, S Price, C-B Schönlieb, X Chen
– BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT I
(2022)
12962 LNCS,
124
(doi: 10.1007/978-3-031-08999-2_10)
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks
Y Wei, Y Li, X Chen, C-B Schönlieb, C Li, SJ Price
– BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT I
(2022)
12962,
140
(doi: 10.1007/978-3-031-08999-2_11)
Effects of fast x-ray cone-beam tomographic measurement on dimensional metrology
C Rossides, H Towsyfyan, A Biguri, H Deyhle, R Lindroos, M Mavrogordato, R Boardman, W Sun, T Blumensath
– Metrologia
(2022)
59,
044003
(doi: 10.1088/1681-7575/ac7926)
You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration
L Liu, Z Huang, P Liò, C-B Schönlieb, AI Aviles-Rivero
– Lecture Notes in Computer Science
(2022)
13386,
190
(doi: 10.1007/978-3-031-11203-4_21)
Uneven Extraction in Coffee Brewing
WT Lee, A Smith, A Arshad
(2022)
(link to publication)
Classification of datasets with imputed missing values: does imputation quality matter?
T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torne, E Sala, P Lio, M Patel, A-C Collaboration, JHF Rudd, T Mirtti, A Rannikko, JAD Aston, J Tang, C-B Schönlieb
(2022)
(doi: 10.48550/arxiv.2206.08478)
Label-free prediction of cell painting from brightfield images
JO Cross-Zamirski, E Mouchet, G Williams, C-B Schönlieb, R Turkki, Y Wang
– Scientific reports
(2022)
12,
10001
(doi: 10.1038/s41598-022-12914-x)
Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise.
B Toader, J Boulanger, Y Korolev, MO Lenz, J Manton, C-B Schönlieb, L Mureşan
– Journal of Mathematical Imaging and Vision
(2022)
64,
968
(doi: 10.1007/s10851-022-01100-3)
146 Ct radiomics in carotid artery atherosclerosis: a systematic evaluation of robustness, reproducibility and predictive performance for culprit lesions
E Le, L Rundo, J Tarkin, N Evans, M Chowdhury, P Coughlin, H Pavey, C Wall, F Zaccagna, F Gallagher, Y Huang, R Sriranjan, A Le, J Weir-McCall, M Roberts, F Gilbert, E Warburton, C-B Schönlieb, E Sala, J Rudd
– Imaging
(2022)
108,
A112
(doi: 10.1136/heartjnl-2022-bcs.146)
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Y Nan, JD Ser, S Walsh, C Schönlieb, M Roberts, I Selby, K Howard, J Owen, J Neville, J Guiot, B Ernst, A Pastor, A Alberich-Bayarri, MI Menzel, S Walsh, W Vos, N Flerin, J-P Charbonnier, E van Rikxoort, A Chatterjee, H Woodruff, P Lambin, L Cerdá-Alberich, L Martí-Bonmatí, F Herrera, G Yang
– An international journal on information fusion
(2022)
82,
99
(doi: 10.1016/j.inffus.2022.01.001)
Task adapted reconstruction for inverse problems
J Adler, S Lunz, O Verdier, C-B Schönlieb, O Öktem
– Inverse Problems
(2022)
38,
075006
(doi: 10.1088/1361-6420/ac28ec)
Stylegan-Induced Data-Driven Regularization for Inverse Problems
A Conmy, S Mukherjee, C-B Schönlieb
– ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
(2022)
00,
3788
(doi: 10.1109/icassp43922.2022.9747632)
Parameter identification for elliptic boundary value problems: an abstract framework and applications
H Hoffmann, A Wald, TTN Nguyen
– Inverse Problems
(2022)
38,
075005
(doi: 10.1088/1361-6420/ac6d02)

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