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Karl Sjöstrand

Technical University of Denmark

45

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591

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A deep learning algorithm to predict coexisting metastatic disease using intraprostatic [F18]DCFPYL PSMA image alone in veterans with prostate cancer.

2020 Journal of Clinical Oncology
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miPSMA Index: Comprehensive and Automated Quantification of 18F-DCFPyL (PyL-PSMA) PET/CT for Prostate Cancer Staging

2020 The Journal of Nuclear Medicine
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Automated Assessment of Prostatic PSMA Expression in SPECT/CT using Deep Convolutional Neural Networks - A Prospectively Planned Retrospective Analysis of Phase 3 Study MIP-1404-3301

2019 The Journal of Nuclear Medicine
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SpaSM: A MATLAB Toolbox for Sparse Statistical Modeling

2018 Journal of Statistical Software
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Automated detection and quantification of prostatic PSMA uptake in SPECT/CT using a deep learning algorithm for segmentation of pelvic anatomy

2018 The Journal of Nuclear Medicine
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Area of ischemia assessed by physicians and software packages from myocardial perfusion scintigrams

2014 BMC Medical Imaging
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Progression of bone metastases in patients with prostate cancer - automated detection of new lesions and calculation of bone scan index

2013 EJNMMI research
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A Novel Automated Platform for Quantifying the Extent of Skeletal Tumour Involvement in Prostate Cancer Patients Using the Bone Scan Index

2012 European Urology
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Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies

2011
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Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies

2011 Lecture Notes in Computer Science
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