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- 2023
-
Mark
Applications of Artificial Intelligence in PSMA PET/CT for Prostate Cancer Imaging
2023) In Seminars in Nuclear Medicine(
- Contribution to journal › Article
-
Mark
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index
(
- Contribution to journal › Article
- 2022
-
Mark
Artificial Intelligence-based Assessment of Prostate Cancer Metastases in PET/CT
2022) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
(
- Contribution to journal › Article
- 2020
-
Mark
Deep learning-based evaluation of normal bone marrow activity in 18F-NaF PET/CT in patients with prostate cancer
(
- Contribution to journal › Published meeting abstract
- 2019
-
Mark
Deep learning for segmentation of 49 selected bones in CT scans : First step in automated PET/CT-based 3D quantification of skeletal metastases
(
- Contribution to journal › Article
- 2017
-
Mark
3D skeletal uptake of 18F sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer
(
- Contribution to journal › Article
-
Mark
Association of PET index quantifying skeletal uptake in NaF PET/CT images with overall survival in prostate cancer patients
2017) American Society of Clinical Oncology Genitourinary (ASCO GU) Cancers Symposium In Journal of Clinical Oncology 35(6 Suppl). p.178-178(
- Contribution to journal › Published meeting abstract
-
Mark
Automated evaluation of normal uptake in different skeletal parts in 18F-sodium fluoride (NaF) PET/CT using a new convolutional neural network method
(
- Contribution to conference › Abstract
- 2015
-
Mark
Computer automated bone scan index (BSI) as an analytically validated imaging biomarker to quantitate change in bone scan of patients with metastatic prostate cancer
2015) American Society of Clinical Oncology Genitourinary (ASCO GU) Cancers Symposium In Journal of Clinical Oncology 33(15 Suppl). p.5044-5044(
- Contribution to journal › Published meeting abstract