Research output per year
Research output per year
Personal profile
Short presentation
My main interests include Image Registration, Segmentation and Classification of Medical Image Data. I work with estimation of image similarity as my primary interest along with computational well-founded implementation. I strongly believe that the implementation of image processing algorithms should be thoroughly tested and reflect the theoretical properties as well as possible.
I work mainly on neuro-imaging data such as MRI and PET.
External positions
Post Doc, DTU, IMM
1 Feb 2009 → 31 Jan 2010
Keywords
- Faculty of Science
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
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An Automatic DWI/FLAIR Mismatch Assessment of Stroke Patients
Johansen, J., Offersen, C. M., Carlsen, J. F., Ingala, S., Hansen, A. E., Nielsen, M. B., Darkner, S. & Pai, A., 2024, In: Diagnostics. 14, 1, 12 p., 69.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile15 Downloads (Pure) -
Locally orderless networks
Sporring, J., Xu, P., Lu, J., Lauze, F. B. & Darkner, S., 19 Jun 2024, arxiv.org, 12 p.Research output: Working paper › Preprint › Research
Open AccessFile3 Downloads (Pure) -
A hybrid approach to full-scale reconstruction of renal arterial network
Xu, P., Holstein-Rathlou, N-H., Søgaard, S. B., Gundlach, C., Sørensen, C. M., Erleben, K., Sosnovtseva, O. & Darkner, S., 9 May 2023, In: Scientific Reports. 13, 1, 15 p., 7569.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Citations (Scopus)46 Downloads (Pure) -
Collision-constrained deformable image registration framework for discontinuity management
Alscher, T., Erleben, K. & Darkner, S., 2023, In: PLoS ONE. 18, 8, 15 p., e0290243.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile19 Downloads (Pure) -
cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis
Lu, J., Yin, C., Erleben, K., Nielsen, M. B. & Darkner, S., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Deep Learning-Assisted Localisation of Nanoparticles in synthetically generated two-photon microscopy images
Netterstrøm, R., Kutuzov, N., Darkner, S., Pallesen, M. J., Lauritzen, M., Erleben, K. & Lauze, F. B., 2023, arXiv.org, 1 p.Research output: Working paper › Preprint › Research
Open AccessFile23 Downloads (Pure) -
Deep-learning-based segmentation of individual tooth and bone with periodontal ligament interface details for simulation purposes
Xu, P., Gholamalizadeh, T., Moshfeghifar, F., Darkner, S. & Erleben, K., 2023, In: IEEE Access. 11, p. 102460-102470Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile22 Downloads (Pure) -
Extremely Weakly-Supervised Blood Vessel Segmentation with Physiologically Based Synthesis and Domain Adaptation
Xu, P., Lee, B., Sosnovtseva, O., Sørensen, C. M., Erleben, K. & Darkner, S., 2023, Medical Image Learning with Limited and Noisy Data - 2nd International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Proceedings. Xue, Z., Antani, S., Zamzmi, G., Yang, F., Rajaraman, S., Liang, Z., Huang, S. X. & Linguraru, M. G. (eds.). Springer, p. 191-201 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14307 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review