Cecilia Marie Futsæther

Cecilia Marie Futsæther

Professor

  • Institutt for fysikk

My research focuses on using machine learning, deep learning and multivariate statistical techniques primarily in medical diagnostics. We develop and test methods for classifying images and image pixels/voxels into categories based on specific properties. Applications related to medical diagnostics include developing treatment outcome prediction models for cancer patients using pre-treatment medical images. Such models can help doctors to identify patients who will respond poorly to treatment at a very early stage, and hence tailor treatment for a patient´s needs. We are also working on methods for automatic tumour delineation and detection of tumour regions linked to poor prognosis. Other applications relate to methods for quantifying plant leaf injury caused by, for example, air pollution or disease. I currently teach general physics (thermal physics & electromagnetism) and environmental physics (radiation physics & climate physics). I am also involved in study programme administration and student supervision.

Link to the group's web-page: https://www.nmbu.no/en/faculty/realtek/research/groups/healthcare-data-science 

    • Medical Image Analysis (Medisinsk bildeanalyse)
    • Data science (Datavitenskap)
    • Multivariate image analysis (Multivariat bildeanalyse)
    • Environmental Biophysics (Miljøbiofysikk)
  • Liste med publikasjoner fra min forskning. (Cristin)

    AR Groendahl, BN Huynh, O Tomic, E Dale, E Malinen, HK Skogmo, CM Futsaether. 2023. Automatic gross tumor volume segmentation for canine head and neck cancer radiotherapy using deep learning and cross-species transfer learning. Frontiers in Veterinary Science, 10:1143986. https://doi.org/10.3389/fvets.2023.1143986  

    A Jenul, S Schrunner, BN Huynh, R Helin, CM Futsaether, KH Liland, O Tomic. 2022. Ranking Feature-Block Importance in Artificial Multiblock Neural Networks. In: Pimenidis, E., Angelov, P., Jayne, C., Papaleonidas, A., Aydin, M. (eds) Artificial Neural Networks and Machine Learning – ICANN 2022. Lecture Notes in Computer Science, vol 13532. Springer, Cham. https://doi.org/10.1007/978-3-031-15937-4_14

    A Jenul, B Bhattarai, K Liland, L Jiao, S Schrunner, C Futsæther, O Granmo, O Tomi. 2022. Component based Pre-filtering of Noisy Data for Improved Tsetlin Machine Modelling. 2022 International Symposium on the Tsetlin Machine (ISTM 2022). IEEE conference proceedings 2022 ISBN 978-1-6654-7116-9. s. 57-64

    F Knuth, A Grøndahl, R Winter, T Torheim, A Negård, S Holmedal, K Bakke, S Meltzer, C Futsæther, K Redalen. 2022. Semi-automatic tumor segmentation of rectal cancer based on functional magnetic resonance imaging. Physics and Imaging in Radiation Oncology 22, 77-84. https://doi.org/10.1016/j.phro.2022.05.001

    F Knuth, I Adde, BN. Huynh, AR. Grøndahl, RM. Winter, A Negård, SH Holmedal, S Meltzer, AH. Ree, K. Flatmark, S Dueland, KH Hole, T. Seierstad, KR Redalen, CM Futsæther. 2022. MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts. Acta Oncologica 61: 255. https://doi.org/10.1080/0284186x.2021.2013530

    Huynh, BN., Ren, J., Groendahl, A.R., Tomic, O., Korreman, S.S., Futsaether, C.M. 2022. Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT. In: Andrearczyk, V., Oreiller, V., Hatt, M., Depeursinge, A. (eds) Head and Neck Tumor Segmentation and Outcome Prediction. HECKTOR 2021. Lecture Notes in Computer Science, vol 13209. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-98253-9_30

     Ren, J., Huynh, BN., Groendahl, A.R., Tomic, O., Futsaether, C.M., Korreman, S.S. 2022. PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. In: Andrearczyk, V., Oreiller, V., Hatt, M., Depeursinge, A. (eds) Head and Neck Tumor Segmentation and Outcome Prediction. HECKTOR 2021. Lecture Notes in Computer Science, vol 13209. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-98253-9_7.

    Aurora Rosvoll Groendahl, Yngve Mardal Moe, Christine Kiran Kaushal, Bao Ngoc Huynh, Espen Rusten, Oliver Tomic, Eivor Hernes, Bettina Hanekamp, Christine Undseth, Marianne Grønlie Guren, Eirik Malinen, Cecilia Marie Futsaether. 2022. Deep learning-based automatic delineation of anal cancer gross tumour volume: A multimodality comparison of CT, PET and MRI.  Acta Oncologica 61:89. https://doi.org/10.1080/0284186X.2021.1994645 

    Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsæther, Oliver Tomic. 2021. RENT- Repeated Elastic Net Technique for Feature Selection. IEEE Access, 9:152333-152346. https://doi.org/10.1109/ACCESS.2021.3126429

    Aurora Rosvoll Groendahl, Ingerid Skjei Knudtsen, Bao Ngoc Huynh, Martine Mulstad,Yngve Mardal Moe, Franziska Knuth, Oliver Tomic, Ulf Geir Indahl, Turid Torheim, Einar Dale, Eirik Malinen and Cecilia Marie Futsaether. 2021. A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers. Phys. Med. Biol. 66, 065012. https://doi.org/10.1088/1361-6560/abe553
    Yngve Mardal Moe, Aurora Rosvoll Groendahl, Oliver Tomic, Einar Dale, Eirik Malinen, Cecilia Marie Futsaether. 2021.  Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. 66, 065012, https://doi.org/10.1007/s00259-020-05125-x  

    Anna Jenul, Stefan Schrunner, Kristian Hovde Liland, Ulf Geir Indahl, Cecilia Marie Futsaether, Oliver Tomic. 2020. RENT -- Repeated Elastic Net Technique for Feature Selection. arXiv:2009.12780v2 

    Moe, Y.M., Groendahl, A.R., Mulstad, M., Tomic, O., Indahl, U.G., Dale, E., Malinen, E., Futsaether, C.M. 2019. Deep learning for automatic tumour segmentation in PET/CT images of patients with head and neck cancers. arXiv:1908.00841v1. https://arxiv.org/abs/1908.00841

    Groendahl, A.R., Midtfjord, A.D., Langberg, G.S.E.R.; Tomic, O., Indahl, U.G., Knudtsen, I.S., Malinen, E., Dale, E., Futsaether, C.M. 2019. Prediction of treatment outcome for head and neck cancers using radiomics of PET/CT images. Radiotherapy and Oncology 133: S526-S526

    Groendahl, A.R., Mulstad, M., Moe, Y.M., Knudtsen, I.S., Torheim, T., Tomic, O., Indahl, U.G., Malinen, E., Dale, E., Futsaether, C.M. 2019. Comparison of automatic tumour segmentation approaches for head and neck cancers in PET/CT images. Radiotherapy and Oncology 133: S557-S557.

    Knuth, F., Grondahl, A.R., Torheim, T., Negard, A., Holmedal, S.H., Bakke, K.M., Meltzer, S., Futsaether, C.M., Redalen, K.R. 2019. Automatic tumor delineation in rectal cancer using functional MRI and machine learning. Radiotherapy and Oncology 133: S269-S270.

    Grøndahl, Aurora Rosvoll; Kuttner, Samuel; Elschot, Mattijs; Bathen, Tone Frost; Sundset, Rune; Knudtsen, Ingerid Skjei & Futsæther, Cecilia Marie (2018). Maskinlæring og medisinske bilder for bedre diagnostikk og persontilpasset kreftbehandlingHMT - Helsetjenesten Medisinsk Teknikk : helse, medisin, teknikk, Volume(5). ISSN 1501-7729.  

    Eirik O. Jåstad, Turid Torheim, Kathleen M. Villeneuve, Knut Kvaal, Eli O. Hole, Einar Sagstuen, Eirik Malinen, Cecilia Futsaether. 2017. In Quest of the Alanine R3 Radical: Multivariate EPR Spectral Analyses of X-Irradiated Alanine in the Solid State. The Journal of Physical Chemistry A, 121:7139-7147.

    Louise E. Arve, Ole Mathis Opstad Kruse, Karen K. Tanino, Jorunn E. Olsen, Cecilia Futsaether, Sissel Torre. 2017. Daily changes in VPD during leaf development in high air humidity increase the stomatal responsiveness to darkness and dry air. Journal of Plant Physiology, 211:63-69.

     Turid Torheim, Eirik Malinen, Knut H. Hole, Kjersti Vassmo Lund, Ulf G. Indahl, Heidi Lyng, Knut Kvaal, Cecilia Futsaether. 2017.   Autodelineation of cervical cancers using multiparametric MRI and machine learning. Acta Oncologica 56:806-812.

    A Kristian, J Holtedahl, T Torheim,C Futsaether, E Hernes, O Engebråten, G Mælandsmo, E Malinen. 2017.  Dynamic 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography for chemotherapy response monitoring of breast cancer xenografts. Molecular Imaging and Biology 19:271

    Turid Torheim, Aurora Groendahl, Erlend Andersen, Heidi, Lyng, Eirik Malinen, Knut Kvaal, Cecilia Futsaether. 2016. Cluster analysis of dynamics contrast enhanced MRI reveals tumour subregions related to locoreginal relapse for cervical cancer patients.  Acta Oncologica 55:1294-1298.

    Ingunn Burud, Christophe Moni, Andreas Flo, Cecilia Futsaether, Markus Steffens, Daniel P. Rasse. 2015. Qualitative and quantitative mapping og biochar in a soil profile using hyperspectral imaging. Soil and Tillage Research, available online 17 July 2015.

    Louise E. Arve, Ole Mathis Opstad Kruse, Karen Tanino, Jorunn E. Olsen, Cecilia Futsaether, Sissel Torre. 2015. Growth in continuous high air humidity increases the expression of CYP707A-genes and inhibits stomatal closure. Environmental and Experimental Botany 115:11-19.

    CM. Futsaether, AV. Vollsnes, OMO. Kruse, UG. Indahl, K. Kvaal, AB Eriksen. 2014. Daylength influences the response of three   clover species (Trifolium spp.) to short-term ozone stress. Boreal Environment Research 20:90-104.

    Ole Mathis Opstad Kruse, José Manuel Prats-Montalbán, Ulf Geir Indahl, Knut Kvaal, Alberto Ferrer, Cecilia Marie Futsaether. 2014. Pixel classification methods for identifying and quantifying leaf surface injury from digital image. Computers and Electronics in Agriculture 108:155-165.

    Turid Torheim, Eirik Malinen, Knut Kvaal, Heidi Lyng, Ulf G. Indahl, Erlend K. F. Andersen, Cecilia   M. Futsaether. 2014. Classification of dynamic contrast enhanced MR images of cervical cancer using texture analysis and support vector machines. IEEE Transactions on Medical Imaging 33:1648-1656.

    Thomas Mo Willig, Cecilia Futsaether, Halvor Kippe. 2012. Converting the Iranian heavy water reactor IR-40 to a more proliferation-resistant reactor. Science and Global Security 20(2-3), 97-116.

    AB Eriksen, AV Vollsnes, CM Futsaether, OMO Kruse. 2012. Reversible phytochrome regulation influenced the severity of ozone-induced visible foliar injuries in Trifolium subterraneum L. Plant Growth Regulation, 68:517-523.

    AV Vollsnes, TB Melø, CM Futsaether. 2012. Photomorphogenesis and pigment induction in lentil roots exposed to low light conditions. Plant Biology, 14: 467-474.

    AV Vollsnes, CM Futsaether, AG Bengough. 2010. Quantifying rhizosphere particle movement around mutant maize roots using timelapse imaging and particle image velocimetry. European Journal of Soil Science 61:926-939.

    A Vollsnes, OMO Kruse, AB Eriksen, U Oxaal, CM Futsaether. 2010.  In vivo root growth dynamics of ozone exposed Trifolium subterraneum. Environmental and Experimental Botany 69:183-188.

    C.Futsaether, A. Vollsnes, OMO Kruse, E Otterholt, K Kvaal, AB Eriksen. 2009. Effects of the Nordic photoperiod on ozone sensitivity and repair in different ecotypes studied using infrared imaging. Invited paper, AMBIO, 38:437-442.

    AV Vollsnes, AB Eriksen, E Otterholt, K Kvaal, U Oxaal, C Futsaether. 2009. Visible foliar injury and infrared imaging show that daylength affects short-term recovery after ozone stress in Trifolium subterraneum. Journal of Experimental Botany, 60:3677-3686

    F. Suliman, C. Futsaether, U. Oxaal. 2007. Hydraulic performance of horizontal subsurface flow constructed wetlands for different   strategies of filling the filter medium into the filter basin. Ecological Engineering 29:45-55.

    F. Suliman, C.M. Futsaether, U. Oxaal, L.E. Haugen, P. Jenssen. 2006. Effect of the inlet-outlet positions on the hydraulic performance of horizontal subsurface flow wetlands constructed with heterogeneous porous media. Journal of Contaminant Hydrology 87:22-36.

    Chapters in Handbook of Methods in Rhizosphere Research. Eds: J Luster & R Finlay, Swiss Federal Research Institute WSL, Birmensdorf, 2006. 2D rhizobox systems, authors C Futsaether,  U Oxaal & A Vollsnes, pp 128-129. Magnetic resonance imaging, authors C. Futsaether, U Oxaal & A Vollsnes, pp 151-152.

    G. Prytz, C.M. Futsaether, A. Johnsson. 2003. Self-sustained oscillations in plant water reg­ulation. Induction of bifurcations and anom­alous rhythmicity.New Phytologist 158:259-267.

    G. Prytz, C.M. Futsaether, A. Johnsson. 2003.Thermography studies of the spatial and temporal variability in stomatal conductance of Avena leaves during stable and oscillatory transpiration. New Phytologist, 158:249-258.

    C.M. Futsaether, U. Oxaal. 2002. A growth chamber for idealized studies of seedling root growth dynamics and structure. Plant and Soil 246:221-230.

    S. Ramstad, C.M. Futsaether, A. Johnsson. 2000. Effects of 50 Hz electric currents and magnetic fields on the prokaryote Propionibacterium acnes. Bioelectromagnetics 21:302-311.

    F. Antonsen, A. Johnsson, C. Futsaether, J. Krane.1999. Nuclear magnetic resonance imaging in studies of gravitropism in soil mixtures. New Phytologist, 142:59-66.

    S. Ramstad, C.M. Futsaether, A. Johnsson. 1997. Porphyrin photosensitization and intracellular calcium changes in the prokaryote Propionibacterium acnes. Journal of Photochemistry and Photobiology B:Biology, 40:141-148.

    The 1995 intercomparison of UV- and PAR instruments at the University of Oslo. Norwegian Radiation Protection Authority 1997:7. Editors B. Johnsen & M. Hannevik. Authors B. Johnsen, C. Futsaether, A. Dahlback, A.A. Grimnes, M. Hannevik, T. M. Thorseth, B. Kjeldstad, T. de Lange, A. Skartveit, L. Opedal, O. Mikkelborg, G. Storsveen. ISSN 0804-4910.

    C.M. Futsaether, B. Kjeldstad, A. Johnsson. 1995. Intracellular pH changes induced in Propionibacterium acnes by UV-A radiation and blue light. Journal of Photochemistry and Photobiology B:Biology, 31:125-131.

    C.M. Futsaether, A. Johnsson. 1994. Using fura-2 to measure intracellular free calcium in Propionibacterium acnes. Canadian Journal of Microbiology, 40: 439-445.

    S.Finne, C.Futsaether, J.I. Botnan, H.P. Langtangen. 1990. Three-dimensional analysis of solid propellant grains using a nonlinear viscoelastic model. American Institute of Aeronautics and Astronautics (AIAA) 90-2090, Washington, D.C., 8 pages

    C.Futsaether, S.Finne, H.P. Langtangen, J.I. Botnan. 1990. A general thermoviscoelastic material model. Proceedings of the   International Conference on Numerical Methods in Engineering: Theory and Application (NUMETA 1990), Volume II, Elsevier Science Publishers LTD, Essex, 8 pages.

  • FYS102 Termofysikk og elektromagnetisme (Thermal physics and electromagnetism)

    FYS102A Fysikk for bioteknologer (Physics for biotechnologists)

    FYS241 Miljøfysikk (Environmental physics)

     

  • Yet again in 2021 our Master of Science programme in Environmental Physics and Renewable Energy, was ranked by our students as one of the best study programmes. Read about our programme in Tekna.

    Read about our research on artificial intelligence and cancer diagnostics in forskning.no   

    Once again in 2020, our Master of Science programme in Environmental Physics and Renewable Energy, was ranked by our students as one of the best study programmes. Read about our programme in Tekna.

    The NMBU Healthcare Data Modelling group won the best poster award in physics for the Comparison of automatic tumour segmentation approaches for head and neck cancers in PET-CT images at the ESTRO38 Congress in Milano, Italy in April 2019. Read more about our work on tumour segmentation in the ESTRO newsletter (p. 62) or see the video of PhD. student Aurora Grøndahl accepting the award at ESTRO38 (at 0.56 min). 

    Read more about Cecilia in an interview here...

    Read an interview with Cecilia about why our Master of Science program in Environmental Physics and Renewable Energy is, according to the students, one of the best study programmes.

    My student Aurora Grøndahl won the award for Best Student Thesis 2015 for her MSc thesis Analysis of Dynamic Contrast Enhanced MRI of Cervical Cancers.

    Turid Torheim and I won the 2015 Innovation Ideas Competition (Idekonkurransen 2015) at NMBU for our work on a diagnostic tool for automatically finding cancer tumours in medical images.

    Read more about our paper on the Arak nuclear reactor in Iran and the Iran nuclear deal in Teknisk Ukeblad , Nettavisen and in the New York Times where our paper is cited: The most palpable roots of Iran’s plutonium reversal go back to 2012, when arms control experts began discussing Arak’s redesign.

    Read more about my PhD student Turid Torheim here and her participation in the 2015 Forsker (Researcher) Grand Prix. Listen to a radio interview of Turid here.

    Read more about my research on the effects of ozone pollution on plants and cancer treatment outcome prediction.

    Background

    • Dr.scient. in biophysics, Dept. of Physics, NTNU, Norway. Thesis on cellular effects of non-ionizing radiation.
    • M.Sc. (cand.scient.) in mechanics, Dept. of Mathematics, University of Oslo. Thesis on finite element modelling of linear and nonlinear viscoelastic materials.
    • B.Sc. (cand.mag.) University of Oslo. Major in mechanics and physics, minors: mathematics, geophysics.
    • International Baccalaureate Diploma, International School of Hamburg, Germany.

    Other activities

    • Deputy head of the Department of Physics, Faculty of Science and Technology (REALTEK), NMBU
    • Head of the university committee for physics study programmes
    • Head of the Department of Physics candidate assessment board
    • Member of the Faculty Board of Studies (Undervisningsutvalget UU), RealTek, NMBU
    • Deputy member of the National Committee for University Physics