Reza Kaboteh

A prospective study to evaluate the intra-individual reproducibility of bone scans for quantitative assessment in patients with metastatic prostate cancer

Elin Trägårdh, May Sadik, Mariana Reza, 2018, BMC Medical Imaging.

Analytical validation of an automated method for segmentation of the prostate gland in CT images

Lars Edenbrandt, Poul Flemming Høilund-Carlsen, Johannes Ulén, 2017 .

Automated decision support for bone scintigraphy

Mattias Ohlsson, May Sadik, Reza Kaboteh, 2009, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems.

Convolutional neural networks for segmentation of 49 selected bones in CT images show high reproducibility

Lars Edenbrandt, Poul Flemming Høilund-Carlsen, Johannes Ulén, 2017 .

Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images

Lars Edenbrandt, Fredrik Kahl, Poul Flemming Høilund-Carlsen, 2017 .

A novel automated platform for quantifying the extent of skeletal tumour involvement in prostate cancer patients using the Bone Scan Index.

Mattias Ohlsson, Lars Edenbrandt, Karl Sjöstrand, 2012, European urology.

Bone Scan Index as an Imaging Biomarker in Metastatic Castration-resistant Prostate Cancer: A Multicentre Study Based on Patients Treated with Abiraterone Acetate (Zytiga) in Clinical Practice.

Mattias Ohlsson, Lars Edenbrandt, Camilla Thellenberg-Karlsson, 2016, European urology focus.

Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases.

Lars Edenbrandt, Johannes Ulén, Olof Enqvist, 2019, European journal of radiology.