Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 50 of 66

1.

Quantitative error prediction of medical image registration using regression forests.

Sokooti H, Saygili G, Glocker B, Lelieveldt BPF, Staring M.

Med Image Anal. 2019 May 11;56:110-121. doi: 10.1016/j.media.2019.05.005. [Epub ahead of print]

PMID:
31226661
2.

Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI.

Winzeck S, Mocking SJT, Bezerra R, Bouts MJRJ, McIntosh EC, Diwan I, Garg P, Chutinet A, Kimberly WT, Copen WA, Schaefer PW, Ay H, Singhal AB, Kamnitsas K, Glocker B, Sorensen AG, Wu O.

AJNR Am J Neuroradiol. 2019 Jun;40(6):938-945. doi: 10.3174/ajnr.A6077. Epub 2019 May 30.

PMID:
31147354
3.

TETRIS: Template Transformer Networks for Image Segmentation with Shape Priors.

Lee MCH, Petersen K, Pawlowski N, Glocker B, Schaap M.

IEEE Trans Med Imaging. 2019 Mar 22. doi: 10.1109/TMI.2019.2905990. [Epub ahead of print]

4.

Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study.

Robinson R, Valindria VV, Bai W, Oktay O, Kainz B, Suzuki H, Sanghvi MM, Aung N, Paiva JM, Zemrak F, Fung K, Lukaschuk E, Lee AM, Carapella V, Kim YJ, Piechnik SK, Neubauer S, Petersen SE, Page C, Matthews PM, Rueckert D, Glocker B.

J Cardiovasc Magn Reson. 2019 Mar 14;21(1):18. doi: 10.1186/s12968-019-0523-x.

5.

Machine learning in whole-body MRI: experiences and challenges from an applied study using multicentre data.

Lavdas I, Glocker B, Rueckert D, Taylor SA, Aboagye EO, Rockall AG.

Clin Radiol. 2019 May;74(5):346-356. doi: 10.1016/j.crad.2019.01.012. Epub 2019 Feb 23. Review.

PMID:
30803815
6.

Attention gated networks: Learning to leverage salient regions in medical images.

Schlemper J, Oktay O, Schaap M, Heinrich M, Kainz B, Glocker B, Rueckert D.

Med Image Anal. 2019 Apr;53:197-207. doi: 10.1016/j.media.2019.01.012. Epub 2019 Feb 5.

7.

Evaluating reinforcement learning agents for anatomical landmark detection.

Alansary A, Oktay O, Li Y, Folgoc LL, Hou B, Vaillant G, Kamnitsas K, Vlontzos A, Glocker B, Kainz B, Rueckert D.

Med Image Anal. 2019 Apr;53:156-164. doi: 10.1016/j.media.2019.02.007. Epub 2019 Feb 14.

PMID:
30784956
8.

Learning-Based Quality Control for Cardiac MR Images.

Tarroni G, Oktay O, Bai W, Schuh A, Suzuki H, Passerat-Palmbach J, de Marvao A, O'Regan DP, Cook S, Glocker B, Matthews PM, Rueckert D.

IEEE Trans Med Imaging. 2019 May;38(5):1127-1138. doi: 10.1109/TMI.2018.2878509. Epub 2018 Nov 1.

9.

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Bai W, Sinclair M, Tarroni G, Oktay O, Rajchl M, Vaillant G, Lee AM, Aung N, Lukaschuk E, Sanghvi MM, Zemrak F, Fung K, Paiva JM, Carapella V, Kim YJ, Suzuki H, Kainz B, Matthews PM, Petersen SE, Piechnik SK, Neubauer S, Glocker B, Rueckert D.

J Cardiovasc Magn Reson. 2018 Sep 14;20(1):65. doi: 10.1186/s12968-018-0471-x.

10.

Reconstructing subject-specific effect maps.

Konukoglu E, Glocker B; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2018 Nov 1;181:521-538. doi: 10.1016/j.neuroimage.2018.07.032. Epub 2018 Jul 23.

11.

3-D Reconstruction in Canonical Co-Ordinate Space From Arbitrarily Oriented 2-D Images.

Hou B, Khanal B, Alansary A, McDonagh S, Davidson A, Rutherford M, Hajnal JV, Rueckert D, Glocker B, Kainz B.

IEEE Trans Med Imaging. 2018 Aug;37(8):1737-1750. doi: 10.1109/TMI.2018.2798801. Epub 2018 Feb 19.

12.

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.

Parisot S, Ktena SI, Ferrante E, Lee M, Guerrero R, Glocker B, Rueckert D.

Med Image Anal. 2018 Aug;48:117-130. doi: 10.1016/j.media.2018.06.001. Epub 2018 Jun 2.

PMID:
29890408
13.

Metric learning with spectral graph convolutions on brain connectivity networks.

Ktena SI, Parisot S, Ferrante E, Rajchl M, Lee M, Glocker B, Rueckert D.

Neuroimage. 2018 Apr 1;169:431-442. doi: 10.1016/j.neuroimage.2017.12.052. Epub 2017 Dec 24.

14.

Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging.

Ledig C, Kamnitsas K, Koikkalainen J, Posti JP, Takala RSK, Katila A, Frantzén J, Ala-Seppälä H, Kyllönen A, Maanpää HR, Tallus J, Lötjönen J, Glocker B, Tenovuo O, Rueckert D.

PLoS One. 2017 Nov 28;12(11):e0188152. doi: 10.1371/journal.pone.0188152. eCollection 2017.

15.

Abnormal brain white matter microstructure is associated with both pre-hypertension and hypertension.

Suzuki H, Gao H, Bai W, Evangelou E, Glocker B, O'Regan DP, Elliott P, Matthews PM.

PLoS One. 2017 Nov 16;12(11):e0187600. doi: 10.1371/journal.pone.0187600. eCollection 2017.

16.

Multimodal surface matching with higher-order smoothness constraints.

Robinson EC, Garcia K, Glasser MF, Chen Z, Coalson TS, Makropoulos A, Bozek J, Wright R, Schuh A, Webster M, Hutter J, Price A, Cordero Grande L, Hughes E, Tusor N, Bayly PV, Van Essen DC, Smith SM, Edwards AD, Hajnal J, Jenkinson M, Glocker B, Rueckert D.

Neuroimage. 2018 Feb 15;167:453-465. doi: 10.1016/j.neuroimage.2017.10.037. Epub 2017 Oct 31.

17.

Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.

Oktay O, Ferrante E, Kamnitsas K, Heinrich M, Bai W, Caballero J, Cook SA, de Marvao A, Dawes T, O'Regan DP, Kainz B, Glocker B, Rueckert D.

IEEE Trans Med Imaging. 2018 Feb;37(2):384-395. doi: 10.1109/TMI.2017.2743464. Epub 2017 Sep 26.

18.

A flexible graphical model for multi-modal parcellation of the cortex.

Parisot S, Glocker B, Ktena SI, Arslan S, Schirmer MD, Rueckert D.

Neuroimage. 2017 Nov 15;162:226-248. doi: 10.1016/j.neuroimage.2017.09.005. Epub 2017 Sep 6.

19.

Learning and combining image neighborhoods using random forests for neonatal brain disease classification.

Zimmer VA, Glocker B, Hahner N, Eixarch E, Sanroma G, Gratacós E, Rueckert D, González Ballester MÁ, Piella G.

Med Image Anal. 2017 Dec;42:189-199. doi: 10.1016/j.media.2017.08.004. Epub 2017 Aug 9.

20.

Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.

Lavdas I, Glocker B, Kamnitsas K, Rueckert D, Mair H, Sandhu A, Taylor SA, Aboagye EO, Rockall AG.

Med Phys. 2017 Oct;44(10):5210-5220. doi: 10.1002/mp.12492. Epub 2017 Aug 31.

21.

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.

Valindria VV, Lavdas I, Bai W, Kamnitsas K, Aboagye EO, Rockall AG, Rueckert D, Glocker B.

IEEE Trans Med Imaging. 2017 Aug;36(8):1597-1606. doi: 10.1109/TMI.2017.2665165. Epub 2017 Apr 17.

22.

Robust guidewire tracking under large deformations combining segment-like features (SEGlets).

Vandini A, Glocker B, Hamady M, Yang GZ.

Med Image Anal. 2017 May;38:150-164. doi: 10.1016/j.media.2017.02.001. Epub 2017 Mar 15.

23.

Multi-channel MRI segmentation of eye structures and tumors using patient-specific features.

Ciller C, De Zanet S, Kamnitsas K, Maeder P, Glocker B, Munier FL, Rueckert D, Thiran JP, Bach Cuadra M, Sznitman R.

PLoS One. 2017 Mar 28;12(3):e0173900. doi: 10.1371/journal.pone.0173900. eCollection 2017.

24.

Stratified Decision Forests for Accurate Anatomical Landmark Localization in Cardiac Images.

Oktay O, Bai W, Guerrero R, Rajchl M, de Marvao A, O'Regan DP, Cook SA, Heinrich MP, Glocker B, Rueckert D.

IEEE Trans Med Imaging. 2017 Jan;36(1):332-342. doi: 10.1109/TMI.2016.2597270.

25.

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.

Kamnitsas K, Ledig C, Newcombe VFJ, Simpson JP, Kane AD, Menon DK, Rueckert D, Glocker B.

Med Image Anal. 2017 Feb;36:61-78. doi: 10.1016/j.media.2016.10.004. Epub 2016 Oct 29.

26.

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.

Zheng G, Chu C, Belavý DL, Ibragimov B, Korez R, Vrtovec T, Hutt H, Everson R, Meakin J, Andrade IL, Glocker B, Chen H, Dou Q, Heng PA, Wang C, Forsberg D, Neubert A, Fripp J, Urschler M, Stern D, Wimmer M, Novikov AA, Cheng H, Armbrecht G, Felsenberg D, Li S.

Med Image Anal. 2017 Jan;35:327-344. doi: 10.1016/j.media.2016.08.005. Epub 2016 Aug 17.

PMID:
27567734
27.

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.

Maier O, Menze BH, von der Gablentz J, Ḧani L, Heinrich MP, Liebrand M, Winzeck S, Basit A, Bentley P, Chen L, Christiaens D, Dutil F, Egger K, Feng C, Glocker B, Götz M, Haeck T, Halme HL, Havaei M, Iftekharuddin KM, Jodoin PM, Kamnitsas K, Kellner E, Korvenoja A, Larochelle H, Ledig C, Lee JH, Maes F, Mahmood Q, Maier-Hein KH, McKinley R, Muschelli J, Pal C, Pei L, Rangarajan JR, Reza SMS, Robben D, Rueckert D, Salli E, Suetens P, Wang CW, Wilms M, Kirschke JS, Kr Amer UM, Münte TF, Schramm P, Wiest R, Handels H, Reyes M.

Med Image Anal. 2017 Jan;35:250-269. doi: 10.1016/j.media.2016.07.009. Epub 2016 Jul 21.

28.

(Hyper)-graphical models in biomedical image analysis.

Paragios N, Ferrante E, Glocker B, Komodakis N, Parisot S, Zacharaki EI.

Med Image Anal. 2016 Oct;33:102-106. doi: 10.1016/j.media.2016.06.028. Epub 2016 Jun 23.

29.

Learning clinically useful information from images: Past, present and future.

Rueckert D, Glocker B, Kainz B.

Med Image Anal. 2016 Oct;33:13-18. doi: 10.1016/j.media.2016.06.009. Epub 2016 Jun 15.

30.

Note Special Issue on Discrete Graphical Models in Biomedical Image Analysis.

Glocker B, Paragions N, Zabih R.

Med Image Anal. 2016 Jan;27:1-2. doi: 10.1016/j.media.2015.11.001. No abstract available.

31.

Real-Time RGB-D Camera Relocalization via Randomized Ferns for Keyframe Encoding.

Glocker B, Shotton J, Criminisi A, Izadi S.

IEEE Trans Vis Comput Graph. 2015 May;21(5):571-83. doi: 10.1109/TVCG.2014.2360403.

32.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Menze BH, Jakab A, Bauer S, Kalpathy-Cramer J, Farahani K, Kirby J, Burren Y, Porz N, Slotboom J, Wiest R, Lanczi L, Gerstner E, Weber MA, Arbel T, Avants BB, Ayache N, Buendia P, Collins DL, Cordier N, Corso JJ, Criminisi A, Das T, Delingette H, Demiralp Ç, Durst CR, Dojat M, Doyle S, Festa J, Forbes F, Geremia E, Glocker B, Golland P, Guo X, Hamamci A, Iftekharuddin KM, Jena R, John NM, Konukoglu E, Lashkari D, Mariz JA, Meier R, Pereira S, Precup D, Price SJ, Raviv TR, Reza SM, Ryan M, Sarikaya D, Schwartz L, Shin HC, Shotton J, Silva CA, Sousa N, Subbanna NK, Szekely G, Taylor TJ, Thomas OM, Tustison NJ, Unal G, Vasseur F, Wintermark M, Ye DH, Zhao L, Zhao B, Zikic D, Prastawa M, Reyes M, Van Leemput K.

IEEE Trans Med Imaging. 2015 Oct;34(10):1993-2024. doi: 10.1109/TMI.2014.2377694. Epub 2014 Dec 4. Review.

33.

Quantifying progression of multiple sclerosis via classification of depth videos.

Kontschieder P, Dorn JF, Morrison C, Corish R, Zikic D, Sellen A, D'Souza M, Kamm CP, Burggraaff J, Tewarie P, Vogel T, Azzarito M, Glocker B, Chin P, Dahlke F, Polman C, Kappos L, Uitdehaag B, Criminisi A.

Med Image Comput Comput Assist Interv. 2014;17(Pt 2):429-37.

PMID:
25485408
34.

Geodesic patch-based segmentation.

Wang Z, Bhatia KK, Glocker B, Marvao A, Dawes T, Misawa K, Mori K, Rueckert D.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):666-73.

35.

Robust registration of longitudinal spine CT.

Glocker B, Zikic D, Haynor DR.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):251-8.

36.

Encoding atlases by randomized classification forests for efficient multi-atlas label propagation.

Zikic D, Glocker B, Criminisi A.

Med Image Anal. 2014 Dec;18(8):1262-73. doi: 10.1016/j.media.2014.06.010. Epub 2014 Jul 2.

37.

Vertebrae localization in pathological spine CT via dense classification from sparse annotations.

Glocker B, Zikic D, Konukoglu E, Haynor DR, Criminisi A.

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):262-70.

PMID:
24579149
38.

Atlas encoding by randomized forests for efficient label propagation.

Zikic D, Glocker B, Criminisi A.

Med Image Comput Comput Assist Interv. 2013;16(Pt 3):66-73.

PMID:
24505745
39.

Is synthesizing MRI contrast useful for inter-modality analysis?

Iglesias JE, Konukoglu E, Zikic D, Glocker B, Van Leemput K, Fischl B.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):631-8.

40.

Modality propagation: coherent synthesis of subject-specific scans with data-driven regularization.

Ye DH, Zikic D, Glocker B, Criminisi A, Konukoglu E.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):606-13.

PMID:
24505717
41.

WESD--Weighted Spectral Distance for measuring shape dissimilarity.

Konukoglu E, Glocker B, Criminisi A, Pohl KM.

IEEE Trans Pattern Anal Mach Intell. 2013 Sep;35(9):2284-97. doi: 10.1109/TPAMI.2012.275.

42.

Neighbourhood approximation using randomized forests.

Konukoglu E, Glocker B, Zikic D, Criminisi A.

Med Image Anal. 2013 Oct;17(7):790-804. doi: 10.1016/j.media.2013.04.013. Epub 2013 May 10.

43.

Automatic localization and identification of vertebrae in arbitrary field-of-view CT scans.

Glocker B, Feulner J, Criminisi A, Haynor DR, Konukoglu E.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):590-8.

PMID:
23286179
44.

Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR.

Zikic D, Glocker B, Konukoglu E, Criminisi A, Demiralp C, Shotton J, Thomas OM, Das T, Jena R, Price SJ.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):369-76.

PMID:
23286152
45.

Neighbourhood approximation forests.

Konukoglu E, Glocker B, Zikic D, Criminisi A.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):75-82.

PMID:
23286116
46.

Interventional tool tracking using discrete optimization.

Heibel H, Glocker B, Groher M, Pfister M, Navab N.

IEEE Trans Med Imaging. 2013 Mar;32(3):544-55. doi: 10.1109/TMI.2012.2228879. Epub 2012 Dec 10.

47.

Discriminative segmentation-based evaluation through shape dissimilarity.

Konukoglu E, Glocker B, Ye DH, Criminisi A, Pohl KM.

IEEE Trans Med Imaging. 2012 Dec;31(12):2278-89. doi: 10.1109/TMI.2012.2216281. Epub 2012 Aug 30.

48.

Fast multiple organ detection and localization in whole-body MR dixon sequences.

Pauly O, Glocker B, Criminisi A, Mateus D, Möller AM, Nekolla S, Navab N.

Med Image Comput Comput Assist Interv. 2011;14(Pt 3):239-47.

PMID:
22003705
49.

Mediastinal atlas creation from 3-D chest computed tomography images: application to automated detection and station mapping of lymph nodes.

Feuerstein M, Glocker B, Kitasaka T, Nakamura Y, Iwano S, Mori K.

Med Image Anal. 2012 Jan;16(1):63-74. doi: 10.1016/j.media.2011.05.005. Epub 2011 May 19.

PMID:
21641269
50.

Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge.

Murphy K, van Ginneken B, Reinhardt JM, Kabus S, Ding K, Deng X, Cao K, Du K, Christensen GE, Garcia V, Vercauteren T, Ayache N, Commowick O, Malandain G, Glocker B, Paragios N, Navab N, Gorbunova V, Sporring J, de Bruijne M, Han X, Heinrich MP, Schnabel JA, Jenkinson M, Lorenz C, Modat M, McClelland JR, Ourselin S, Muenzing SE, Viergever MA, De Nigris D, Collins DL, Arbel T, Peroni M, Li R, Sharp GC, Schmidt-Richberg A, Ehrhardt J, Werner R, Smeets D, Loeckx D, Song G, Tustison N, Avants B, Gee JC, Staring M, Klein S, Stoel BC, Urschler M, Werlberger M, Vandemeulebroucke J, Rit S, Sarrut D, Pluim JP.

IEEE Trans Med Imaging. 2011 Nov;30(11):1901-20. doi: 10.1109/TMI.2011.2158349. Epub 2011 May 31.

PMID:
21632295

Supplemental Content

Loading ...
Support Center