Publications 2025

Slettebø H, Sakinis T (2025)
Revisiting Härtel's technique for percutaneous transoval glycerol injection
Acta Neurochir (Wien), 167 (1), 126
DOI 10.1007/s00701-025-06526-3, PubMed 40304736

Publications 2023

Bjørk MB, Bleka Ø, Kvaal SI, Sakinis T, Tuvnes FA, Eggesbø HB, Lauritzen PM (2023)
MRI segmentation of tooth tissue in age prediction of sub-adults - a new method for combining data from the 1st, 2nd, and 3rd molars
Int J Legal Med, 138 (3), 939-949
DOI 10.1007/s00414-023-03149-0, PubMed 38147158

Bjørk MB, Kvaal SI, Bleka Ø, Sakinis T, Tuvnes FA, Haugland MA, Eggesbø HB, Lauritzen PM (2023)
Prediction of Age Older than 18 Years in Sub-adults by MRI Segmentation of 1st and 2nd Molars
Int J Legal Med, 137 (5), 1515-1526
DOI 10.1007/s00414-023-03055-5, PubMed 37402013

Bjørk MB, Kvaal SI, Bleka Ø, Sakinis T, Tuvnes FA, Haugland MA, Lauritzen PM, Eggesbø HB (2023)
Age prediction in sub-adults based on MRI segmentation of 3rd molar tissue volumes
Int J Legal Med, 137 (3), 753-763
DOI 10.1007/s00414-023-02977-4, PubMed 36811675

Publications 2022

von Brandis E, Jenssen HB, Avenarius DFM, Bjørnerud A, Flatø B, Tomterstad AH, Lilleby V, Rosendahl K, Sakinis T, Zadig PKK, Müller LO (2022)
Automated segmentation of magnetic resonance bone marrow signal: a feasibility study
Pediatr Radiol, 52 (6), 1104-1114
DOI 10.1007/s00247-021-05270-x, PubMed 35107593

von Brandis E, Jenssen HB, Avenarius DFM, Bjørnerud A, Flatø B, Tomterstad AH, Lilleby V, Rosendahl K, Sakinis T, Zadig PKK, Müller LO (2022)
Correction to: Automated segmentation of magnetic resonance bone marrow signal: a feasibility study
Pediatr Radiol, 52 (6), 1196
DOI 10.1007/s00247-022-05315-9, PubMed 35192023

Publications 2021

Alavi DH, Henriksen HB, Lauritzen PM, Kværner AS, Sakinis T, Langleite TM, Henriksen C, Bøhn SK, Paur I, Wiedswang G, Smeland S, Blomhoff R (2021)
Quantification of adipose tissues by Dual-Energy X-Ray Absorptiometry and Computed Tomography in colorectal cancer patients
Clin Nutr ESPEN, 43, 360-368
DOI 10.1016/j.clnesp.2021.03.022, PubMed 34024541

Paluru N, Dayal A, Jenssen HB, Sakinis T, Cenkeramaddi LR, Prakash J, Yalavarthy PK (2021)
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images
IEEE Trans Neural Netw Learn Syst, 32 (3), 932-946
DOI 10.1109/TNNLS.2021.3054746, PubMed 33544680

Publications 2020

Server Alonso A, Sakinis T, Pfeiffer HCV, Sandvig I, Barlinn J, Marthinsen PB (2020)
Understanding Pediatric Neuroimmune Disorder Conflicts: A Neuroradiologic Approach in the Molecular Era
Radiographics, 40 (5), 1395-1411
DOI 10.1148/rg.2020200032, PubMed 32735475

Publications 2019

Philbrick KA, Weston AD, Akkus Z, Kline TL, Korfiatis P, Sakinis T, Kostandy P, Boonrod A, Zeinoddini A, Takahashi N, Erickson BJ (2019)
RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning
J Digit Imaging, 32 (4), 571-581
DOI 10.1007/s10278-019-00232-0, PubMed 31089974

Publications 2018

Abildgaard A, Hopp E, Sakinis T, Roterud H, Bjørnerud A, Beyer M, Smith HJ (2018)
[Will radiologists be replaced by artificial intelligence?]
Tidsskr Nor Laegeforen, 138 (17)
DOI 10.4045/tidsskr.18.0587, PubMed 30378411

Abildgaard A, Roterud H, Beyer M, Hopp E, Bjornerud A, Smith HJ, Sakinis T (2018)
Will radiologists be replaced by artificial intelligence?
Tidsskr. Nor. Laegeforen., 138 (17), 1610-1612

Weston AD, Korfiatis P, Kline TL, Philbrick KA, Kostandy P, Sakinis T, Sugimoto M, Takahashi N, Erickson BJ (2018)
Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning
Radiology, 290 (3), 669-679
DOI 10.1148/radiol.2018181432, PubMed 30526356