Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics.

Autor: Huynh BN; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Groendahl AR; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Tomic O; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Liland KH; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Knudtsen IS; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway.; Department of Medical Physics, Oslo University Hospital, Oslo, Norway., Hoebers F; Department of Radiation Oncology (MAASTRO), Maastricht University Medical Center, Maastricht, Netherlands.; GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, Netherlands., van Elmpt W; Department of Radiation Oncology (MAASTRO), Maastricht University Medical Center, Maastricht, Netherlands.; GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, Netherlands., Malinen E; Department of Medical Physics, Oslo University Hospital, Oslo, Norway.; Department of Physics, University of Oslo, Oslo, Norway., Dale E; Department of Oncology, Oslo University Hospital, Oslo, Norway., Futsaether CM; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.

Publikováno v: Frontiers in medicine [Front Med (Lausanne)] 2024 May 14; Vol. 11, pp. 1421603. Date of Electronic Publication: 2024 May 14 (Print Publication: 2024).

Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning.

Autor: Groendahl AR; Faculty of Science and Technology, Department of Physics, Norwegian University of Life Sciences, Ås, Norway., Huynh BN; Faculty of Science and Technology, Department of Physics, Norwegian University of Life Sciences, Ås, Norway., Tomic O; Faculty of Science and Technology, Department of Data Science, Norwegian University of Life Sciences, Ås, Norway., Søvik Å; Faculty of Veterinary Medicine, Department of Companion Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway., Dale E; Department of Oncology, Oslo University Hospital, Oslo, Norway., Malinen E; Department of Physics, University of Oslo, Oslo, Norway.; Department of Medical Physics, Oslo University Hospital, Oslo, Norway., Skogmo HK; Faculty of Veterinary Medicine, Department of Companion Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway., Futsaether CM; Faculty of Science and Technology, Department of Physics, Norwegian University of Life Sciences, Ås, Norway.

Publikováno v: Frontiers in veterinary science [Front Vet Sci] 2023 Mar 21; Vol. 10, pp. 1143986. Date of Electronic Publication: 2023 Mar 21 (Print Publication: 2023).

MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts.

Autor: Knuth F; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Adde IA; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Huynh BN; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Groendahl AR; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Winter RM; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Negård A; Department of Radiology, Akershus University Hospital, Lørenskog, Norway.; Institute of Clinical Medicine, University of Oslo, Oslo, Norway., Holmedal SH; Department of Radiology, Akershus University Hospital, Lørenskog, Norway., Meltzer S; Department of Oncology, Akershus University Hospital, Lørenskog, Norway., Ree AH; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.; Department of Oncology, Akershus University Hospital, Lørenskog, Norway., Flatmark K; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.; Department of Gastroenterological Surgery, Oslo University Hospital, Oslo, Norway., Dueland S; Department of Oncology, Oslo University Hospital, Oslo, Norway., Hole KH; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Seierstad T; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Redalen KR; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Futsaether CM; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.

Publikováno v: Acta oncologica (Stockholm, Sweden) [Acta Oncol] 2022 Feb; Vol. 61 (2), pp. 255-263. Date of Electronic Publication: 2021 Dec 17.

Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients.

Autor: Moe YM; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Groendahl AR; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Tomic O; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Dale E; Department of Oncology, Oslo University Hospital, Oslo, Norway., Malinen E; Department of Medical Physics, Oslo University Hospital, Oslo, Norway.; Department of Physics, University of Oslo, Oslo, Norway., Futsaether CM; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway. cecilia.futsaether@nmbu.no.

Publikováno v: European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2021 Aug; Vol. 48 (9), pp. 2782-2792. Date of Electronic Publication: 2021 Feb 09.

Cluster analysis of dynamic contrast enhanced MRI reveals tumor subregions related to locoregional relapse for cervical cancer patients.

Autor: Torheim T; a Department of Mathematical Sciences and Technology , Norwegian University of Life Sciences , Ås , Norway., Groendahl AR; a Department of Mathematical Sciences and Technology , Norwegian University of Life Sciences , Ås , Norway., Andersen EK; b Department of Radiology , Sørlandet Sykehus HF , Kristiansand , Norway., Lyng H; c Department of Radiation Biology , Oslo University Hospital , Oslo , Norway., Malinen E; d Department of Medical Physics , Oslo University Hospital , Oslo , Norway.; e Department of Physics , University of Oslo , Oslo , Norway., Kvaal K; a Department of Mathematical Sciences and Technology , Norwegian University of Life Sciences , Ås , Norway., Futsaether CM; a Department of Mathematical Sciences and Technology , Norwegian University of Life Sciences , Ås , Norway.

Publikováno v: Acta oncologica (Stockholm, Sweden) [Acta Oncol] 2016 Nov; Vol. 55 (11), pp. 1294-1298. Date of Electronic Publication: 2016 Aug 26.