Sune Darkner

Research output

Research output per year 2011 2013 2015 2021 2022 2023 2024

• 880 Citations
• 35 Article in proceedings
• 35 Journal article
• 7 Conference abstract in journal
• 6 Conference abstract for conference
• 15 More
  • 4 Preprint
  • 2 Report
  • 2 Paper
  • 2 Dataset
  • 2 Computer programme
  • 1 Poster
  • 1 Conference article
  • 1 Review

Research output per year

Research output per year

Search results

• 2024

  ADAPT: AI-Driven Artefact Purging Technique for IMU Based Motion Capture

  Schreiner, P., Netterstrøm, R., Yin, H., Darkner, S. & Erleben, K., 2024, (E-pub ahead of print) In: Computer Graphics Forum.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

• 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 Access

  File
  1 Citation (Scopus)

  16 Downloads (Pure)

• In Vivo Deep Learning Estimation of Diffusion Coefficients of Nanoparticles

  Kirkegaard, J. B., Kutuzov, N. P., Netterstrøm, R., Darkner, S., Lauritzen, M. & Lauze, F., 6 Oct 2024, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 - 27th International Conference, Proceedings. Linguraru, M. G., Dou, Q., Feragen, A., Giannarou, S., Glocker, B., Lekadir, K. & Schnabel, J. A. (eds.). Marrakesh, Morocco: Springer, Vol. 15002. p. 206-215 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15002 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

• 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 Access

  File
  6 Downloads (Pure)

• XFibrosis: Explicit Vessel-Fiber Modeling for Fibrosis Staging from Liver Pathology Images

  Yin, C., Liu, S., Lyu, F., Lu, J., Darkner, S., Wong, V. W. S. & Yuen, P. C., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024. IEEE Computer Society Press, p. 11282-11291 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  1 Citation (Scopus)
• 2023

  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 Access

  File
  2 Citations (Scopus)

  58 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 Access

  File
  20 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, 5 p. (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

• 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 Access

  File
  24 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. 102460-102470

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  2 Citations (Scopus)

  25 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

  File
  1 Citation (Scopus)

  3 Downloads (Pure)

• Performance and Agreement When Annotating Chest X-ray Text Reports - A Preliminary Step in the Development of a Deep Learning-Based Prioritization and Detection System

  Li, D., Pehrson, L. M., Bonnevie, R., Fraccaro, M., Thrane, J., Tøttrup, L., Lauridsen, C. A., Butt Balaganeshan, S., Jankovic, J., Andersen, T. T., Mayar, A., Hansen, K. L., Carlsen, J. F., Darkner, S. & Nielsen, M. B., 2023, In: Diagnostics. 13, 6, 24 p.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  2 Citations (Scopus)

  19 Downloads (Pure)

• Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation

  Lyu, F., Ye, M., Carlsen, J. F., Erleben, K., Darkner, S. & Yuen, P. C., 2023, In: IEEE Transactions on Medical Imaging. 42, 3, p. 797-809

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  22 Citations (Scopus)

• SE(3) Group Convolutional Neural Networks and a Study on Group Convolutions and Equivariance for DWI Segmentation

  Liu, R., Lauze, F. B., Bekkers, E. J., Erleben, K. & Darkner, S., 2023, Research Square, 32 p.

  Research output: Working paper › Preprint › Research

  Open Access

  File
  12 Downloads (Pure)
• 2022

  Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning

  Tascon-Vidarte, J. D., Stick, L. B., Josipovic, M., Risum, S., Jomier, J., Erleben, K., Vogelius, I. R. & Darkner, S., Jul 2022, In: PLoS ONE. 17, 7 July, p. 1-15 e0271064.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  5 Citations (Scopus)

  28 Downloads (Pure)

• A Direct Geometry Processing Cartilage Generation Method Using Segmented Bone Models from Datasets with Poor Cartilage Visibility

  Moshfeghifar, F., Nielsen, M. K., Tascon Vidarte, J. D., Darkner, S. & Erleben, K., 2022, Computational Biomechanics for Medicine: Towards Translation and Better Patient Outcomes. Springer, p. 155.169

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

• An algebra for local histograms

  Sporring, J. & Darkner, S., 2022, In: Frontiers in Computer Science. 4, p. 1-9 939563.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  27 Downloads (Pure)

• Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning

  Xu, P., Moshfeghifar, F., Gholamalizadeh, T., Nielsen, M. B., Erleben, K. & Darkner, S., 2022, Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022 Held in Conjunction with MICCAI 2022 Singapore, September 22, 2022 Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 153-162 10 p. (Medical Image Learning with Limited and Noisy Data, Vol. 13559).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

  File
  2 Citations (Scopus)

  22 Downloads (Pure)

• Bundle geodesic convolutional neural network for diffusion-weighted imaging segmentation

  Liu, R., Lauze, F., Erleben, K., Berg, R. W. & Darkner, S., 2022, In: Journal of Medical Imaging. 9, 6, 14 p., 064002.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  1 Citation (Scopus)

  52 Downloads (Pure)

• Fast Vortex Particle Method for Fluid-Character Interaction

  Meldgaard, A., Darkner, S. & Erleben, K., 2022, In: OpenReview.net. 2022, 7 p.

  Research output: Contribution to journal › Conference article › Research

  File
  29 Downloads (Pure)

• Fast Vortex Particle Method for Fluid-Character Interaction

  Meldgaard, A., Darkner, S. & Erleben, K., 2022, Proceedings of Graphics Interface 2022: Montréal, Quebec, 16 - 19 May 2022. ACM Press, p. 84-91

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

  File
  1 Citation (Scopus)

  3 Downloads (Pure)

• Information-Theoretic Registration with Explicit Reorientation of Diffusion-Weighted Images

  Jensen, H. G., Lauze, F. & Darkner, S., 2022, In: Journal of Mathematical Imaging and Vision. 64, p. 1-16

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

• Inter- and Intra-Observer Agreement When Using a Diagnostic Labeling Scheme for Annotating Findings on Chest X-rays—An Early Step in the Development of a Deep Learning-Based Decision Support System

  Li, D., Pehrson, L. M., Tøttrup, L., Fraccaro, M., Bonnevie, R., Thrane, J., Sørensen, P. J., Rykkje, A., Andersen, T. T., Steglich-Arnholm, H., Stærk, D. M. R., Borgwardt, L., Hansen, K. L., Darkner, S., Carlsen, J. F. & Nielsen, M. B., 2022, In: Diagnostics. 12, 12, 3112.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  4 Citations (Scopus)

  17 Downloads (Pure)

• LibHip: An open-access hip joint model repository suitable for finite element method simulation

  Moshfeghifar, F., Gholamalizadeh, T., Ferguson, Z., Schneider, T., Nielsen, M. B., Panozzo, D., Darkner, S. & Erleben, K., 2022, In: Computer Methods and Programs in Biomedicine. 226, 14 p., 107140.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  2 Citations (Scopus)

  18 Downloads (Pure)

• Open-Full-Jaw: An open-access dataset and pipeline for finite element models of human jaw

  Gholamalizadeh, T., Moshfeghifar, F., Ferguson, Z., Schneider, T., Panozzo, D., Darkner, S., Makaremi, M., Chan, F., Lempel Søndergaard, P. & Erleben, K., 1 Sep 2022, In: Computer Methods and Programs in Biomedicine. 224, 17 p., 107009.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  5 Citations (Scopus)

  61 Downloads (Pure)

• Reconstructing Binary Signals from Local Histograms

  Sporring, J. & Darkner, S., 21 Mar 2022, In: Entropy. 24, 3, p. 1-11 433.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  2 Citations (Scopus)

  24 Downloads (Pure)

• Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

  Lu, J., Yin, C., Krause, O., Erleben, K., Nielsen, M. B. & Darkner, S., 2022, Interpretability of Machine Intelligence in Medical Image Computing. Reyes, M., Abreu, PH. & Cardoso, J. (eds.). Springer, p. 33-43 (Lecture Notes in Computer Science, Vol. 13611).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  File
  3 Citations (Scopus)

  17 Downloads (Pure)

• Revisiting Transformer-based Models for Long Document Classification

  Dai, X., Chalkidis, I., Darkner, S. & Elliott, D., 2022, Findings of the Association for Computational Linguistics: EMNLP 2022. Association for Computational Linguistics, p. 7212–7230

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

  File
  20 Citations (Scopus)

  48 Downloads (Pure)

• RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy

  Smith, A. G., Petersen, J., Terrones-Campos, C., Berthelsen, A. K., Forbes, N. J., Darkner, S., Specht, L. & Vogelius, I. R., 2022, In: Medical Physics. 49, 1, p. 461-473

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  8 Citations (Scopus)

  25 Downloads (Pure)
• 2021

  A framework for voxel-based assessment of biological effect after proton radiotherapy in pediatric brain cancer patients using multi-modal imaging

  Skaarup, M., Lundemann, M. J., Darkner, S., Jorgensen, M., Marner, L., Mirkovic, D., Grosshans, D., Peeler, C., Mohan, R., Vogelius, I. R. & Appelt, A., 10 Jun 2021, In: Medical Physics. 48, 7, 12 p., 4110-4121.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  11 Citations (Scopus)

  46 Downloads (Pure)

• A multi-patient analysis of the center of rotation trajectories using finite element models of the human mandible

  Gholamalizadeh, T., Darkner, S., Søndergaard, P. L. & Erleben, K., 2021, In: PLoS ONE. 16, 11 November, 16 p., e0259794.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  2 Citations (Scopus)

  18 Downloads (Pure)

• Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning

  Liu, R., Lauze, F., Erleben, K. & Darkner, S., 2021, Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Cetin-Karayumak, S., Christiaens, D., Figini, M., Guevara, P., Gyori, N., Nath, V. & Pieciak, T. (eds.). Springer, p. 121-132 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13006 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  2 Citations (Scopus)

• Cine-MRI Simulation to Evaluate Tumor Tracking

  Tascón-Vidarte, J. D., Wahlstedt, I., Jomier, J., Erleben, K., Vogelius, I. R. & Darkner, S., 2021, Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Svoboda, D., Burgos, N., Wolterink, J. M. & Zhao, C. (eds.). Springer, p. 131-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12965 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access

  File
  21 Downloads (Pure)

• Contact modeling from images using cut finite element solvers

  Claus, S., Kerfriden, P., Moshfeghifar, F., Darkner, S., Erleben, K. & Wong, C., 2021, In: Advanced Modeling and Simulation in Engineering Sciences. 8, 1, p. 1-23 13.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  7 Citations (Scopus)

  39 Downloads (Pure)

• First Order Locally Orderless Registration

  Darkner, S., Vidarte, J. D. T. & Lauze, F., 2021, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Springer, p. 177-188 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12679 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  File
  20 Downloads (Pure)

• Global Position Prediction for Interactive Motion Capture

  Schreiner, P., Perepichka, M., Lewis, H., Darkner, S., Kry, P. G., Erleben, K. & Zordan, V. B., 2021, In: Proceedings of the ACM on Computer Graphics and Interactive Techniques. 4, 3, p. 1-16 3479985.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  7 Citations (Scopus)

  22 Downloads (Pure)

• OpenJaw Dataset

  Gholamalizadeh, T., Darkner, S., Søndergaard, P. & Erleben, K., 2021

  Research output: Non-textual form › Dataset › Research

  Open Access

• The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray: A systematic review

  Li, D., Pehrson, L. M., Lauridsen, C. A., Tøttrup, L., Fraccaro, M., Elliott, D., Zając, H. D., Darkner, S., Carlsen, J. F. & Nielsen, M. B., 2021, In: Diagnostics. 11, 12, 17 p., 2206.

  Research output: Contribution to journal › Review › Research › peer-review

  Open Access

  File
  23 Citations (Scopus)

  22 Downloads (Pure)

• U-Sleep: resilient high-frequency sleep staging

  Perslev, M., Darkner, S., Kempfner, L., Nikolic, M., Jennum, P. J. & Igel, C., 15 Apr 2021, In: npj Digital Medicine. 4, 1, 12 p., 72.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  164 Citations (Scopus)

  66 Downloads (Pure)
• 2020

  A Highly Accurate Model Based Registration Method for FIB-SEM Images of Neurons

  Stephensen, H. J. T., Darkner, S. & Sporring, J., 2020, 8 p. (arXiv.org).

  Research output: Book/Report › Report › Research

  Open Access

• Mandibular Teeth Movement Variations in Tipping Scenario: A Finite Element Study on Several Patients

  Gholamalizadeh, T., Darkner, S., Cattaneo, P. M., Søndergaard, P. & Erleben, K., 2020. 10 p.

  Research output: Contribution to conference › Paper › Research

  Open Access

  File
  31 Downloads (Pure)

• Restoring drifted electron microscope volumes using synaptic vesicles at sub-pixel accuracy

  Stephensen, H. J. T., Darkner, S. & Sporring, J., 2020, In: Communications Biology. 3, 1, 7 p., ´81.

  Research output: Contribution to journal › Journal article › Research › peer-review

  Open Access

  File
  8 Citations (Scopus)

  464 Downloads (Pure)
• 2019

  Data Driven Inverse Kinematics of Soft Robots using Local Models

  Holsten, F., Engell-norregard, M. P., Darkner, S. & Erleben, K., 2019, 2019 International Conference on Robotics and Automation (ICRA). IEEE, p. 6251-6257

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  9 Citations (Scopus)

• Deterministic Group Tractography with Local Uncertainty Quantification

  Holm, A. N., Feragen, A., Dela Haije, T. & Darkner, S., 2019, Computational Diffusion: International MICCAI Workshop, Granada,. Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F. & Tax, C. M. W. (eds.). 226249 ed. Springer, p. 377-386 (Mathematics and Visualization).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

• Drift Corrector Software

  Stephensen, H. J. T., Darkner, S. & Sporring, J., 20 Aug 2019

  Research output: Non-textual form › Computer programme › Research

  Open Access

• TopAwaRe: Topology-Aware Registration

  Nielsen, R. K., Darkner, S. & Feragen, A., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer VS, p. 364-372 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11765 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
  10 Citations (Scopus)

• U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

  Perslev, M., Hejselbak Jensen, M., Darkner, S., Jørgen Jennum, P. & Igel, C., 1 Oct 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Vol. 32. p. 4415-4426

  Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  Open Access
• 2018

  Brain Segmentation in Rodent MR-Images Using Convolutional Neural Networks

  Sigurdsson, B., Darkner, S., Sommer, S. H., Mortensen, K. N., Sanggaard, S., Kostrikov, S. & Nedergaard, M., 2018.

  Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

• Collocation for diffeomorphic deformations in medical image registration

  Darkner, S., Pai, A. S. U., Liptrot, M. G. & Sporring, J., 2018, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 40, 7, p. 1570-1583

  Research output: Contribution to journal › Journal article › Research › peer-review

  File
  10 Citations (Scopus)

  153 Downloads (Pure)

• Safety and Efficacy of Mesenchymal Stem Cells for Radiation-Induced Xerostomia: A Randomized, Placebo-Controlled Phase 1/2 Trial (MESRIX)

  Grønhøj, C., Jensen, D. H., Vester-Glowinski, P., Jensen, S. B., Bardow, A., Oliveri, R. S., Fog, L. M., Specht, L., Thomsen, C., Darkner, S., Jensen, M., Müller, V., Kiss, K., Agander, T., Andersen, E., Fischer-Nielsen, A. & von Buchwald, C., 1 Jul 2018, In: International Journal of Radiation Oncology, Biology, Physics. 101, 3, p. 581-592 12 p.

  Research output: Contribution to journal › Journal article › Research › peer-review
  81 Citations (Scopus)