NEWS
May 2024: PhD student Mengyu Li presented her poster entitled "Region-based U-net for accelerated training and enhanced precision in deep brain segmentation" at the IEEE 21st International Symposium on Biomedical Imaging (ISBI) 2024, in Athens, Greece, on May 27-30, 2024. doi arXiv
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February 2024: The article "Translating the future: image-to-image translation for the prediction of future brain metabolism" appears in the Proceedings of SPIE Medical Imaging (SPIE-MI 2024), 2024. doi arXiv
February 2024: Congrats Elena Doering on being a finalist for the Best Student Paper Award at SPIE Medical Imaging! You can read about our work "Translating the future: Image-to-image translation for the prediction of future brain metabolism" here: doi Full article available on arXiv.
February 2024: PhD student Elena Doering presented her poster entitled "Translating the future: Image-to-image translation for the prediction of future brain metabolism" at the SPIE Medical Imaging 2024: Clinical and Biomedical Imaging, in San Diego, California, USA, February 18-21, 2024.
October 2023: Dr. Ellingsen gave a presentation entitled "Identifying Brain Imaging Biomarkers for Early Diagnosis of Rare Dementia through MRI Post-Processing" as an invited speaker at the 7thBigBrain Workshop: Challenges of big data integration, Reykjavík, Iceland, 4-6 Oct 2023.
October 2023: Dr. Ellingsen was also one of four panelists at the panel: Launching your Lab and Steering your Career at the BigBrain Workshop.
September 2023: Congratulations to PhD student Elena Doering who presented her work at the European Association of Neurology (EAN), where her work was rated as one of the most interesting pieces of research at EAN (out of 1900 abstracts!!) and in turn was accompanied by a press release and an article in DI Europe (page 34-35).
May 2023: Recent MSc graduate, Magnús Magnússon, presented his research at the Master’s day of Engineering, where he received first price for the best poster presentation. His research was entitled "Automatic Segmentation of the Brainstem Substructures from MRI using a Deep Learning Approach". Congratulations, Magnús!!
May 2023: PhD student Mengyu Li presented her research project "A deep learning-based MRI segmentation method for the brainstem and other deep brain structures" at the Biomedical and Health Sciences Conference 2023, University of Iceland, Reykjavik, Iceland, on May 24th, 2023.
January 2023: MSc student Magnús Magnússon successfully defended his MSc thesis entitled "Automatic Segmentation of the Brainstem Substructures from MRI using a Deep Learning Approach". Congratulations, Magnús!
January 2023: Welcome MSc student Ingibjörg Kristjánsdóttir to the research team!
Previous years
December 2022: Congratulations Dr. Hans Emil Atlason! Picture taken at the annual Ceremony for Doctoral Graduates on December 1st.
August 2022: Dr. Ellingsen gave a presentation entitled "Fast, Robust and Automated Bone Segmentation from Computed Tomography Images using a Deep Neural Network" at the International Workshop on Bone and Soft Tissues Engineering 2022, Reykjavik, Iceland, 22-23 August, 2022.
May 2022: The article "Fast and robust femur segmentation from computed tomography images for patient-specific hip fracture risk screening", appears in the journal Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2022. doi.
May 2022: Dr. Ellingsen was a keynote speaker at the Iceland Innovation Week giving a presentation entitled "Using AI to help us understand the human brain". Reykjavik, Iceland, May 16-20, 2022.
March 2022: Dr. Ellingsen gave a presentation entitled "Sjálfvirkar myndgreiningaraðferðir og djúp tauganet" at Læknadagar 2022, Reykjavik, Iceland, 21-25 March, 2022.
December 2021: PhD student Hans Emil Atlason successfully defended his PhD thesis entitled "Deep learning for segmentation of brain MRI - validation on the ventricular system and white matter lesions". Congratulations, Hans!
See more photos from the thesis defense here.
November 2021: BSc student Hugrún Lilja Ragnarsdóttir presented her poster entitled "Lífmerki í segulómmyndum af heila fyrir snemmbúna greiningu á taugahrörnunarsjúkdómum" at Þing Félags íslenskra lyflækna (e. The Icelandic Society of Internal Medicine Congress), Reykjavik, Iceland, 5-6 November, 2021.
May 2021: BSc student Hugrún Lilja Ragnarsdóttir successfully presented her BSc in Medicine thesis entitled "Lífmerki í segulómmyndum af heila fyrir snemmbúna greiningu á taugahrörnunarsjúkdómum - Forrannsókn". Congratulations, Hugrún Lilja!
September 2021: Welcome PhD student Mengyu Li to the research team!
February 2021 The article "Automated femur segmentation from computed tomography images using a deep neural network", appears in Proceedings of SPIE Medical Imaging (SPIE-MI 2021), 2021. doi.
February 2021 The article "Automated brainstem parcellation using multi-atlas segmentation and deep neural network", appears in Proceedings of SPIE Medical Imaging (SPIE-MI 2021), 2021. doi.
February 2021: MSc student Páll Áskgeir Björnsson gave a presentation entitled "Automated femur segmentation from computed tomography images using a deep neural network" at the SPIE Medical Imaging Conference, San Diego, California, USA, February 15-19, 2021 (online event).
February 2021: MSc student Magnús Magnússon presented his poster entitled "Automated brainstem parcellation using multi-atlas segmentation and deep neural network" at the SPIE Medical Imaging Conference, San Diego, California, USA, February 15-19, 2021 (online event).
September 2020: MS student Páll Ásgeir Björnsson successfully defended his MS thesis entitled "A Deep Learning Approach to Automatic Proximal Femur Segmentation from Computed Tomography Scans". Congratulations, Páll!
September 2020: MS student Magnús Magnússon gave a presentation entitled "Automated brainstem parcellation from magnetic resonance imaging (MRI) for better understanding of rare dementia" at the 18th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, Reykjavik, Iceland, September 18-20.
September 2020: MS student Páll Ásgeir Björnsson gave a presentation entitled "Automated femur segmentation from computed tomography images using a deep neural network" at the 18th Nordic Baltic Conference on Biomedical Engineering and Medical Physics, Reykjavik, Iceland, September 18-20, and received the 2nd place for best student presentation. Contratulations, Páll!
May 2020: Dr. Ellingsen and her team win the University of Iceland Science and Innovation Award.
January 2020: Welcome MS student Páll Ásgeir Björnsson to the research team!
November 2019: Dr. Ellingsen wins the School of Engineering and Natural Sciences Teaching Award, University of Iceland.
November 2019: The article "SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder", appears in the journal NeuroImage:Clinical, vol. 24, pp. 102085, 2019. doi.
November 2019: MS student Magnús Magnússon presented his poster entitled "Automated Brainstem Parcellation from Magnetic Resonance Imaging (MRI) for Better Understanding of Rare Dementia" at the 4th Innovation in Health Sciences conference (Nýsköpunarráðstefna Heilbrigðisvísindasviðs) at the University of Iceland, Reykjavik, Iceland, on November 15, 2019.
September 2019: Dr. Ellingsen gave an invited presentation entitled "Auotmatic MR image segmentation of the 3D CSF structure in patients with NPH" at the 18th Symposium of the International Hydrocephalus Imaging Working Group, held in conjunction with the 11th Hydrocephalus Society Meeting, Vancouver, Canada, September 13-16, 2019.
September 2019: PhD student Hans Emil Atlason successfully completed his Midway exam on September 4th, with a seminar presentation held at the University of Iceland.
August 2019: Dr. Ellingsen gave an invited presentation entitled "MRI post-processing for NPH and other rare dementias" at the 2nd Nordic Memory Clinic Conference 2019, Reykjavik, Iceland, August 30-31, 2019.
June 2019: PhD student Hans Emil Atlason presented his poster entitled "Brain tissue and lesion segmentation from MRI using unsupervised convolutional autoencoder" at the Organization for Human Brain Mapping (OHBM) 2019, Rome, Italy, June 9-13, 2019.
June 2019: Welcome MS student Magnús Magnússon to the research team! He will be working on a research project supported by the Icelandic Student Innovation Fund over the summer.
May 2019 The article "Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly", appears in the journal NeuroImage:Clinical, vol. 23, pp. 101871, 2019. doi.
May 2019: PhD student Hans Emil Atlason gave a presentation entitled "Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder" at the Medtech day 2019 (Heilbrigðistæknidagurinn 2019) at the University of Reykjavik, Reykjavik, Iceland, May 7, 2019.
March 2019 The article "Unsupervised Brain Lesion Segmentation from MRI using Convolutional Autoencoder", appears in Proceedings of SPIE Medical Imaging (SPIE-MI 2019), 2019. doi.
March 2019 The article "Large-scale parcellation of the ventricular system using convolutional neural networks", appears in Proceedings of SPIE Medical Imaging (SPIE-MI 2019), 2019. doi.
February 2019: PhD student Hans Emil Atlason gave a presentation entitled "Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder" at the SPIE Medical Imaging Conference, San Diego, California, USA, February 16-21, 2019.
February 2019: Dr. Ellingsen gave a presentation entitled "Large-scale parcellation of the ventricular system using convolutional neural networks" at the SPIE Medical Imaging Conference, San Diego, California, USA, February 16-21, 2019.
January 2019: PhD student Hans Emil Atlason gave a presentation entitled "Sjálfvirkar merkingar á hvítavefsbreytingum í segulómmyndum af heila með djúpum földunarsjálfkóðara" ("e. Automated white matter lesion segmentation from brain MRI using a deep convolutional autoencoder") at the 19th biomedical and health sciences conference (19. líf- og heilbrigðisvísindaráðstefna Háskóla Íslands) at the University of Iceland, Reykjavik, Iceland, on January 4, 2019.
November 2018: Dr. Ellingsen gave an invited presentation entitled "NPH and rare dementias - The role of post-processing of MRI," at a meeting of the Nordic Network in Dementia Diagnostics (NIDD) in Copenhagen, Denmark, on November 1st, 2018.
October 2018: The article "Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks ", appears in: Understanding and Interpreting Machine Learning in Medical Image Computing Applications, Proceedings of the First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018.
September 2018: Presentation of "Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks" at the Deep Learning Fails Workshop, DLF 2018. Held in Conjunction with the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2018), Granada, Spain, September 16 - 20, 2018. (Presented by Dr. Prince).
April 2018: Hans Emil Atlason gave a presentation entitled "Automatic parcellation of the brain ventricles from MR images," at the Medtech day 2018 (Heilbrigðistæknidagurinn 2018) at the University of Reykjavik, Reykjavik, Iceland, April 26, 2018.
April 2018: Dr. Ellingsen gave an invited presentation entitled "Automatic MR image segmentation of the CSF spaces in NPH," at the 2018 NIH Hydrocephalus Workshop: State- of-the-Science and Future Directions, Baltimore, MD, USA, April 18-19, 2018.
March 2018 The article "Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas", appears in Proceedings of SPIE Medical Imaging (SPIE-MI 2018), 2018.
March 2018 The article "Deformable model reconstruction of the subarachnoid space,", appears in Proceedings of SPIE Medical Imaging (SPIE-MI 2018), 2018.
February 2018: Presentation of "Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricles atlas" at the SPIE Medical Imaging Conference, Houston, Texas, USA, February 10-15, 2018 (presented by Muhan Shao).
February 2018: Poster presentation of "Deformable model reconstruction of the subarachnoid space" at the SPIE Medical Imaging Conference, Houston, Texas, USA, February 10-15, 2018 (presented by Jeff Glaister).