1. 2020
  2. ESMRMB Round Table report on “Can Europe Lead in Machine Learning of MRI-Data?”

    Pizzini, F. B., Pesapane, F., Niessen, W., Geerts-Ossevoort, L. & Broeckx, N., 2020, In : Magnetic Resonance Materials in Physics, Biology and Medicine. 33, p. 217-219 3 p.

    Research output: Contribution to journalEditorialScientific

  3. Fast multi-component analysis using a joint sparsity constraint for MR fingerprinting

    Nagtegaal, M., Koken, P., Amthor, T. & Doneva, M., 2020, In : Magnetic Resonance in Medicine. 83, 2, p. 521-534

    Research output: Contribution to journalArticleScientificpeer-review

  4. Localization microscopy at doubled precision with patterned illumination

    Cnossen, J., Hinsdale, T., Thorsen, R., Siemons, M., Schueder, F., Jungmann, R., Smith, C. S., Rieger, B. & Stallinga, S., 2020, In : Nature Methods. 17, 1, p. 59-63

    Research output: Contribution to journalArticleScientificpeer-review

  5. Magnetic resonance fingerprinting for simultaneous renal T1 and T2* mapping in a single breath-hold

    Hermann, I., Chacon-Caldera, J., Brumer, I., Rieger, B., Weingärtner, S., Schad, L. R. & Zöllner, F. G., 2020, In : Magnetic Resonance in Medicine. 83, 6, p. 1940-1948 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Spatial versus angular resolution for tractography-assisted planning of deep brain stimulation

    Liebrand, L. C., van Wingen, G. A., Vos, F. M., Denys, D. & Caan, M. W. A., 2020, In : NeuroImage: Clinical. 25, 102116.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Three dimensional particle averaging for structural imaging of macromolecular complexes by localization microscopy

    Heydarian, H., Przybylski, A., Schreuder, F., Jungmann, R., Van Werkhoven, B., Keller-Findeisen, J., Ries, J., Stallinga, S., Bates, M. & Rieger, B., 2020, In : bioRxiv.

    Research output: Contribution to journalArticleScientific

  8. 2019
  9. Reconstructing 3D proton dose distribution using ionoacoustics

    van Dongen, K., de Blécourt, A., Lens, E., Schaart, D. & Vos, F., 15 Nov 2019, In : Physics in Medicine and Biology. 64, 22, 1 p., 225005.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Gray Matter Age Prediction as a Biomarker for Risk of Dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. J. & Roshchupkin, G. V., 15 Oct 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218

    Research output: Contribution to journalArticleScientificpeer-review

  11. Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease

    Gollifer, R. M., Menys, A., Plumb, A., Mengoudi, K., Puylaert, C. A. J., Tielbeek, J. A. W., Ponsioen, C. Y., Vos, F. M., Stoker, J., Taylor, S. A. & Atkinson, D., 1 Oct 2019, In : Clinical Radiology. 74, 10, p. 814.e9-814.e19

    Research output: Contribution to journalArticleScientificpeer-review

  12. Sensor for microscopy

    Hulsken, B. & Stallinga, S., 16 Jul 2019, Patent No. US10353190B2

    Research output: PatentOther research output

  13. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI

    Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Niessen, W., Vernooij, M., de Bruijne, M. & de Bruijne, M., 2019, In : Medical Image Analysis. 51, p. 89-100

    Research output: Contribution to journalArticleScientificpeer-review

  14. A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes

    Li, B., Niessen, W., Klein, S., de Groot, M., Arfan Ikram, M., Vernooij, M. & Bron, E. E., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 645-653 (Lecture Notes in Computer Science ; vol. 11766).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  15. A Multichannel Cross-Modal Fusion Framework for Electron Tomography

    Guo, Y., Aveyard, R. & Rieger, B., 2019, In : IEEE Transactions on Image Processing. 28, 9, p. 4206-4218 8673880.

    Research output: Contribution to journalArticleScientificpeer-review

  16. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes

    van der Lee, S. J., Knol, M. J., Chauhan, G., Satizabal, C. L., Smith, A. V., Hofer, E., Bis, J. C., van den Akker, E. B., Niessen, W. J. & More Authors, 2019, In : Communications Biology. 2, 1, p. 1-9 9 p., 285.

    Research output: Contribution to journalArticleScientificpeer-review

  17. A pharmacokinetic model including arrival time for two inputs and compensating for varying applied flip-angle in dynamic gadoxetic acid-enhanced MR imaging

    Zhang, T., Runge, J. H., Lavini, C., Stoker, J., van Gulik, T., Cieslak, K. P., van Vliet, L. J. & Vos, F. M., 2019, In : PLoS ONE. 14, 8, 20 p., e0220835.

    Research output: Contribution to journalArticleScientificpeer-review

  18. Autofocus imaging

    Hulsken, B. & Stallinga, S., 2019, Patent No. US10365468B2

    Research output: PatentOther research output

  19. Autofocus imaging

    Hulsken, B. & Stallinga, S., 2019, Patent No. US10371929B2

    Research output: PatentOther research output

  20. Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

    van Wijnen, K. M. H., Dubost, F., Yilmaz, P., Ikram, M. A., Niessen, W., Adams, H., Vernooij, M. W. & de Bruijne, M., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D. (ed.). Springer, p. 234-242 (Lecture Notes in Computer Science; vol. 11767).

    Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

  21. Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites

    Dubost, F., Dünnwald, M., Huff, D., Scheurmann, V., Schreiber, F., Vernooij, M. W., Niessen, W., Skalej, M., Schreiber, S. & More Authors, 2019, Proceedings of 2nd International Workshop on Context-Aware Surgical Theaters,OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, MLCN 2019. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer, p. 103-111 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11796 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  22. Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks

    Vigueras-Guillén, J. P., Lemij, H. G., Van Rooij, J., Vermeer, K. A. & Van Vliet, L. J., 2019, Proceeedings of SPIE : Medical Imaging 2019 : Image Processing. Angelini, E. D., Angelini, E. D., Angelini, E. D. & Landman, B. A. (eds.). SPIE, Vol. 10949. 12 p. 1094931. (MEDICAL IMAGING 2019: IMAGE PROCESSING).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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