King's College London

Research portal

Medical Image Analysis, ‎1361-8415

Journal

  1. Neuropsychiatric disease classification using functional connectomics- results of the connectomics in neuroimaging transfer learning challenge

    Schirmer, M. D., Venkataraman, A., Rekik, I., Kim, M., Mostofsky, S. H., Nebel, M. B., Rosch, K., Seymour, K., Crocetti, D., Irzan, H., Hutel, M., Ourselin, S., Marlow, N., Melbourne, A., Levchenko, E., Zhou, S., Kunda, M., Lu, H., Dvornek, N. C., Zhuang, J. & 6 others, Pinto, G., Samal, S., Zhang, J., Bernal-Rusiel, J. L., Pienaar, R. & Chung, A. W., May 2021, In: Medical Image Analysis. 70, 101972.

    Research output: Contribution to journalArticlepeer-review

  2. Non-invasive estimation of relative pressure for intracardiac flows using virtual work-energy

    Marlevi, D., Balmus, M., Hessenthaler, A., Viola, F., Fovargue, D., De Vecchi, A., Lamata de la Orden, P., Burris, N., Pagani, F., Engvall, J., Edelman, E. R., Ebbers, T. & Nordsletten, D., 7 Dec 2020, (Accepted/In press) In: Medical Image Analysis.

    Research output: Contribution to journalArticlepeer-review

  3. Hierarchical Bayesian myocardial perfusion quantification

    Scannell, C. M., Chiribiri, A., Villa, A. D. M., Breeuwer, M. & Lee, J., 1 Feb 2020, In: Medical Image Analysis. 60, 101611.

    Research output: Contribution to journalArticlepeer-review

  4. A rule-based method for predicting the electrical activation of the heart with cardiac resynchronization therapy from non-invasive clinical data: Medical Image Analysis

    Lee, A. W. C., Nguyen, U. C., Razeghi, O., Gould, J., Sidhu, B. S., Sieniewicz, B., Behar, J. M., Mafi-Rad, M., Plank, G., Prinzen, F. W., Rinaldi, C. A., Vernooy, K. & Niederer, S., Oct 2019, In: Medical Image Analysis. 57, p. 197-213 17 p.

    Research output: Contribution to journalArticlepeer-review

  5. Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes

    Roney, C. H., Pashaei, A., Meo, M., Dubois, R., Boyle, P. M., Trayanova, N. A., Cochet, H., Niederer, S. A. & Vigmond, E. J., Jul 2019, In: Medical Image Analysis. 55, p. 65-75 11 p.

    Research output: Contribution to journalArticlepeer-review

  6. Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

    Ravì, D., Szczotka, A. B., Pereira, S. P. & Vercauteren, T., 1 Apr 2019, In: Medical Image Analysis. 53, p. 123-131 9 p.

    Research output: Contribution to journalArticlepeer-review

  7. Algorithms for left atrial wall segmentation and thickness – Evaluation on an open-source CT and MRI image database

    Karim, R., Blake, L-E., Inoue, J., Tao, Q., Jia, S., Housden, R. J., Bhagirath, P., Duval, J-L., Varela, M., Behar, J., Cadour, L., van der Geest, R. J., Cochet, H., Drangova, M., Sermesant, M., Razavi, R., Aslanidi, O., Rajani, R. & Rhode, K., Dec 2018, In: Medical Image Analysis. 50, p. 36-53 18 p.

    Research output: Contribution to journalArticlepeer-review

  8. Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections

    Iglesias, J. E., Modat, M., Peter, L., Stevens, A., Annunziata, R., Vercauteren, T., Lein, E., Fischl, B. & Ourselin, S., Dec 2018, In: Medical Image Analysis. 50, p. 127-144

    Research output: Contribution to journalArticlepeer-review

  9. Mind the gap: quantification of incomplete ablation patterns after pulmonary vein isolation using minimum path search

    Nuñez-Garcia, M., Camara, O., O’Neill, M. D., Razavi, R., Chubb, H. & Butakoff, C., 10 Oct 2018, (E-pub ahead of print) In: Medical Image Analysis.

    Research output: Contribution to journalArticlepeer-review

  10. Weakly-supervised convolutional neural networks for multimodal image registration

    Hu, Y., Modat, M., Gibson, E., Li, W., Ghavami, N., Bonmati, E., Wang, G., Bandula, S., Moore, C. M., Emberton, M., Ourselin, S., Noble, J. A., Barratt, D. C. & Vercauteren, T., Oct 2018, In: Medical Image Analysis. 49, p. 1-13

    Research output: Contribution to journalArticlepeer-review

  11. Vortical Features for Myocardial Rotation Assessment in Hypertrophic Cardiomyopathy using Cardiac Tagged Magnetic Resonance

    Sanz-Estébanez, S., Cordero-Grande, L., Sevilla, T., Revilla-Orodea, A., de Luis-García, R., Martín-Fernández, M. & Alberola-López, C., 15 Mar 2018, (E-pub ahead of print) In: Medical Image Analysis.

    Research output: Contribution to journalArticlepeer-review

  12. Robust MR elastography stiffness quantification using a localized divergence free finite element reconstruction

    Fovargue, D., Kozerke, S., Sinkus, R. & Nordsletten, D., 8 Dec 2017, (E-pub ahead of print) In: Medical Image Analysis. 44, p. 126-142

    Research output: Contribution to journalArticlepeer-review

  13. A conduction velocity adapted eikonal model for electrophysiology problems with re-excitability evaluation

    Corrado, C. & Zemzemi, N., 3 Nov 2017, (E-pub ahead of print) In: Medical Image Analysis. 43, p. 186-197

    Research output: Contribution to journalArticlepeer-review

  14. 3D/2D Registration with Superabundant Vessel Reconstruction for Cardiac Resynchronization Therapy

    Toth, D., Panayiotou, M., Brost, A., Behar, J. M., Rinaldi, C. A., Rhode, K. S. & Mountney, P., 5 Aug 2017, (E-pub ahead of print) In: Medical Image Analysis. 42, p. 160-172 13 p.

    Research output: Contribution to journalArticlepeer-review

  15. Maximum likelihood estimation of cardiac fiber bundle orientation from arbitrarily spaced diffusion weighted images

    Nagler, A., Bertoglio, C., Stoeck, C. T., Kozerke, S. & Wall, W. A., 4 Apr 2017, (E-pub ahead of print) In: Medical Image Analysis.

    Research output: Contribution to journalArticlepeer-review

  16. Autoadaptive motion modelling for MR-based respiratory motion estimation

    Baumgartner, C. F., Kolbitsch, C., McClelland, J. R., Rueckert, D. & King, A. P., Jan 2017, In: Medical Image Analysis. 35, p. 83-100 18 p.

    Research output: Contribution to journalArticlepeer-review

  17. Advances and Challenges in Deformable Image Registration: From Image Fusion to Complex Motion Modelling

    Schnabel, J. A., Heinrich, M. P., Papież, B. W. & Brady, S. J. M., Oct 2016, In: Medical Image Analysis. 33, p. 145-148

    Research output: Contribution to journalArticlepeer-review

  18. Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation

    Irving, B., Franklin, J. M., Papież, B. W., Anderson, E. M., Sharma, R. A., Gleeson, F. V., Brady, S. M. & Schnabel, J. A., 1 Aug 2016, In: Medical Image Analysis. 32, p. 69-83 15 p.

    Research output: Contribution to journalArticlepeer-review

  19. Oncological Image Analysis

    Brady, S. M., Highnam, R., Irving, B. & Schnabel, J. A., 23 Jun 2016, (E-pub ahead of print) In: Medical Image Analysis.

    Research output: Contribution to journalArticlepeer-review

  20. Multi-oriented windowed harmonic phase reconstruction for robust cardiac strain imaging

    Cordero Grande, L., Royuela-del-Val, J., Sanz-Estébanez, S., Martín-Fernández, M. & Alberola-López, C., Apr 2016, In: Medical Image Analysis. 29, p. 1-11 11 p.

    Research output: Contribution to journalArticlepeer-review

  21. Fully automated 2D-3D registration and verification

    Varnavas, A., Carrell, T. & Penney, G. P., Dec 2015, In: Medical Image Analysis. 26, 1, p. 108-119

    Research output: Contribution to journalArticlepeer-review

  22. Probabilistic Non-Linear Registration with Spatially Adaptive Regularisation

    Simpson, I. J. A., Cardoso, M. J., Modat, M., Cash, D. M., Woolrich, M. W., Andersson, J. L. R., Schnabel, J. A. & Ourselin, S., Dec 2015, In: Medical Image Analysis. 26, 1, p. 203-216

    Research output: Contribution to journalArticlepeer-review

  23. Robust whole-brain segmentation: Application to traumatic brain injury

    Ledig, C., Heckemann, R. A., Hammers, A., Lopez, J. C., Newcombe, V. F. J., Makropoulos, A., Loetjoenen, J., Menon, D. K. & Rueckert, D., 1 Apr 2015, In: Medical Image Analysis. 21, 1, p. 40-58 19 p.

    Research output: Contribution to journalArticlepeer-review

  24. An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration

    Papiez, B. W., Heinrich, M. P., Fehrenbach, J., Risser, L. & Schnabel, J. A., Dec 2014, In: Medical Image Analysis. 18, 8, p. 1299-1311 13 p.

    Research output: Contribution to journalArticlepeer-review

  25. Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study

    Rudyanto, R. D., Kerkstra, S., van Rilowort, E. M., Fetita, C., Brillet, P-Y., Lefevre, C., Xue, W., Zhu, X., Liang, J., Öksüz, İ., Unay, D., Kadipasoglu, K., Estepar, R. S. J., Ross, J. C., Washko, G. R., Prieto, J-C., Hernandez Hoyos, M., Orkisz, M., Meine, H., Huellebrand, M. & 28 others, Stoecker, C., Mir, F. L., Naranjo, V., Villanueva, E., Staring, M., Xiao, C., Stoel, B. C., Fabijanska, A. M., Smistad, E., Elster, A. C., Lindseth, F., Foruzan, A. H., Kiros, R., Popuri, K., Cobzas, D., Jimenez-Carretero, D., Santos, A., Ledesma-Carbayo, M. J., Helmberger, M., Urschler, M., Pienn, M., Bosboom, D. G. H., Campo, A., Prokop, M., de Jong, P. A., Ortiz-de-Solorzano, C., Munoz-Barrutia, A. & van Ginneken, B., Oct 2014, In: Medical Image Analysis. 18, 7, p. 1217-1232

    Research output: Contribution to journalArticlepeer-review

  26. Piecewise-diffeomorphic image registration: Application to the motion estimation between 3D CT lung images with sliding conditions

    Risser, L., Vialard, F. X., Baluwala, H. Y. & Schnabel, J. A., Feb 2013, In: Medical Image Analysis. 17, 2, p. 182-193 12 p.

    Research output: Contribution to journalArticlepeer-review

  27. Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy

    Vercauteren, T., Perchant, A., Malandain, G., Pennec, X. & Ayache, N., 1 Oct 2006, In: Medical Image Analysis. 10, 5, p. 673-692 20 p.

    Research output: Contribution to journalArticlepeer-review

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