Kristoffer Lindskov Hansen

Kristoffer Lindskov Hansen

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    • Radiology


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    1. Published

      Accuracy and precision study of plane wave vector flow imaging for laminar and complex flow in vivo

      Jensen, J., Hoyos, C. A. V., Olesen, J. B., Tomov, B., Traberg, M. S., Moshavegh, R., Stuart, M. B., tds797, tds797, Hansen, Kristoffer Lindskov, Nielsen, Michael Bachmann & Jensen, J. A., 31 Oct 2017.

      Research output: Contribution to conference › Conference abstract for conference › Research

    2. Published

      Accuracy and Precision of a Plane Wave Vector Flow Imaging Method in the Healthy Carotid Artery

      Jensen, J., Hoyos, C. A. V., Traberg, M. S., Olesen, J. B., Tomov, B. G., Moshavegh, R., Holbek, S., Stuart, M. B., tds797, tds797, Hansen, Kristoffer Lindskov, Thomsen, C., Nielsen, Michael Bachmann & Jensen, J. A., 2018, In: Ultrasound in Medicine & Biology. 44, 8, p. 1727-1741

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

    3. Published

      Velocity Estimation in Medical Ultrasound

      Jensen, J., Villagomez Hoyos, C. A., Holbek, S. & Hansen, Kristoffer Lindskov, 2017, In: IEEE Signal Processing Magazine. 34, 3, p. 94-100

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

    4. Published

      Tissue Motion Estimation and Correction in Super Resolution Imaging

      Jensen, J. A., Andersen, S. B., Villagomez Hoyos, C. A., Hansen, Kristoffer Lindskov, Sorensen, Charlotte Mehlin & Bachmann Nielsen, M., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE, p. 1107-1110 4 p. 8925632. (IEEE International Ultrasonics Symposium, IUS, Vol. 2019-October).

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

    5. Published

      History and Latest Advances in Flow Estimation Technology: From 1-D in 2-D to 3-D in 4-D

      Jensen, J. A., Sand Traberg, M., Nguyen, T. Q., Thomsen, E. V., Bent Larsen, N., Beers, C., Tomov, B. G., Nielsen, Michael Bachmann, Ivanov Nikolov, S., Hansen, Kristoffer Lindskov, Bo Stuart, M., Villagomez Hoyos, C. A., Schou, M., Ommen, M. L., Husebo Oygard, S. & Jorgensen, L. T., 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. IEEE, p. 1041-1050 (IEEE International Ultrasonics Symposium, IUS, Vol. 2019-October).

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

    6. Published

      Data on the quantitative assessment pulmonary ground-glass opacification from coronary computed tomography angiography datasets

      Kühl, J. T., zwp671, zwp671, Thomsen, A. F., Hindsø, L., Hansen, Kristoffer Lindskov, Nielsen, Olav Wendelboe, Kelbæk, H. & Kofoed, Klaus Fuglsang, Feb 2017, In: Data in Brief. 10, p. 6-10 5 p.

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

    7. Published

      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, Lea Marie, 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, Kristoffer Lindskov, Darkner, Sune, Carlsen, Jonathan Frederik & Nielsen, Michael Bachmann, 2022, In: Diagnostics. 12, 12, 3112.

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

    8. Published

      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, Lea Marie, Bonnevie, R., Fraccaro, M., Thrane, J., Tøttrup, L., Lauridsen, C. A., Balaganeshan, Sedrah Butt, Jankovic, J., Andersen, T. T., Mayar, A., Hansen, Kristoffer Lindskov, Carlsen, Jonathan Frederik, Darkner, Sune & Nielsen, Michael Bachmann, 2023, In: Diagnostics. 13, 6, 24 p.

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

    9. Published

      The performance of deep learning algorithms on automatic pulmonary nodule detection and classification tested on different datasets that are not derived from LIDC-IDRI: A systematic review

      Li, D., Vilmun, B. M., Carlsen, J. F., Albrecht-Beste, Elisabeth, Lauridsen, C. A., Nielsen, Michael Bachmann & Hansen, Kristoffer Lindskov, 2019, In: Diagnostics. 9, 4, 9040207.

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

    10. Published

      Ultrasonography of the Kidney: A Pictorial Review

      Hansen, Kristoffer Lindskov, Nielsen, Michael Bachmann & Ewertsen, C., 2016, In: Diagnostics. 6, 1, p. 1-18 18 p.

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

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    ID: 169426984