Mathias Hougaard Loft
PhD Student
Cluster for Molecular Imaging
Blegdamsvej 3, 2200 København N.
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- 2023
- Published
An Investigation of Lesion Detection Accuracy for Artificial Intelligence-Based Denoising of Low-Dose 64Cu-DOTATATE PET Imaging in Patients with Neuroendocrine Neoplasms
Loft, Mathias Hougaard, Ladefoged, C. N., Johnbeck, C. B., Carlsen, Esben Andreas, Oturai, P., Langer, Seppo W., Knigge, Ulrich, Andersen, Flemming Littrup & Kjær, Andreas, 2023, In: Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 64, 6, p. 951-959Research output: Contribution to journal › Journal article › Research › peer-review
ID: 257010049
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[68Ga]Ga-NODAGA-E[(cRGDyK)]2 Angiogenesis PET/MR in a Porcine Model of Chronic Myocardial Infarction
Research output: Contribution to journal › Journal article › Research › peer-review
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17
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Prospective phase II trial of prognostication by 68Ga-NOTA-AE105 uPAR PET in patients with neuroendocrine neoplasms: Implications for uPAR targeted therapy
Research output: Contribution to journal › Journal article › Research › peer-review
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14
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Semi-automatic tumor delineation for evaluation of 64Cu-DOTATATE PET/CT in patients with neuroendocrine neoplasms: prognostication based on lowest lesion uptake and total tumor volume
Research output: Contribution to journal › Journal article › Research › peer-review
Published