The PhD defence of Dimitrios Markonis thesis took place 19th November, 2014. The thesis is titled: ‘User-oriented Medical Image Retrieval’.
Dimitrios’ publications can be found here.
The PhD defence of Dimitrios Markonis thesis took place 19th November, 2014. The thesis is titled: ‘User-oriented Medical Image Retrieval’.
Dimitrios’ publications can be found here.
Four papers from the MedGIFT group have been accepted to be presented at the next SPIE Medical Imaging 2015 conference in Orlando, United States. The conference will take place from the 21-26 February 2015.
The accepted papers are:
The page http://khresmoi.atosresearch.eu gives an overview of the components and prototypes developed in the Khresmoi project, with the possibility to request information on their further use.
The Khresmoi project final review received a grade of “excellent”.
The page http://partners.khresmoi.eu gives an overview of the components and prototypes developed in the Khresmoi project, with the possibility to request information on their further use.
The paper ‘Evaluation of a Hierarchical Anatomic Segmentation Approach in VISCERAL Anatomy Benchmarks’ will be presented at the MICCAI Workshop on Medical Computer Vision: Algorithms for Big Data (bigMCV).
The paper was written by Oscar Jimenez and Henning Müller who will make the presentation next 18 sept. 2014 at MIT, Boston USA.
KHRESMOI has appeared in DiarioMedico.com. They made an interview to Blanca Jordan Rodríguez that has been published in their website:
http://www.diariomedico.com/2011/01/10/area-profesional/gestion/khresmoi-informacion-para-todos
The interview is related to the project and it’s exploitation with comments on the future plans and monetization.
For more information about the KHRESMOI project go to http://www.khresmoi.eu/
The PhD defence of Antonio Foncubierta thesis took place 4th September, 2014. The thesis is titled: ‘Description and retrieval of medical visual information based on language modelling’.
Antonio’s publications can be found here.
The US National Cancer Institute recently accepted the C-BIBOP project . Our group at the HES-SO is external contractor of the project that is about creating a cloud-based platform for biomarker optimization.
Lead partner is Harvard University with other partners being Stanford University, Columbia University and the Moffitt cancer Research Center.
Since September 1st 2014, Adrien Depeursinge is working as a professor at the HES-SO Valais.
His publications can be found here.
The paper ‘Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities’ by Adrien Depeursinge et al. is among the Top 25 Hottest Articles from the Medical Image Analysis journal for the first quarter of 2014.
A b s t r a c t
Three-dimensional computerized characterization of biomedical solid textures is key to large-scale and high-throughput screening of imaging data. Such data increasingly become available in the clinical and research environments with an ever increasing spatial resolution. In this text we exhaustively analyze the state-of-the-art in 3-D biomedical texture analysis to identify the specific needs of the application domains and extract promising trends in image processing algorithms. The geometrical properties of biomedical textures are studied both in their natural space and on digitized lattices. It is found that most of the tissue types have strong multi-scale directional properties, that are well captured by imaging protocols with high resolutions and spherical spatial transfer functions. The information modeled by the various
image processing techniques is analyzed and visualized by displaying their 3-D texture primitives. We demonstrate that non-convolutional approaches are expected to provide best results when the size of structures are inferior to five voxels. For larger structures, it is shown that only multi-scale directional convolutional approaches that are non-separable allow for an unbiased modeling of 3-D biomedical textures. With the increase of high-resolution isotropic imaging protocols in clinical routine and research, these models are expected to best leverage the wealth of 3-D biomedical texture analysis in the future. Future research directions and opportunities are proposed to efficiently model personalized image-based phenotypes of normal biomedical tissue and its alterations. The integration of the clinical and genomic context is expected to better explain the intra class variation of healthy biomedical textures. Using texture synthesis, this provides the exciting opportunity to simulate and visualize texture atlases of normal ageing process and disease progression for enhanced treatment planning and clinical care management.
The medGIFT group has three presentations scheduled at the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014). The conference takes place from August 26-30 in Chicago, USA.
The presentations topics are:
* ‘Enhanced Visualization of Pulmonary Perfusion in 4D Dual Energy CT Images’ by Antonio Foncubierta et al.
*’Facilitating Medical Information Search using Google Glass connected to a Content-based Medical Image Retrieval System’ by Antoine Widmer et al.
* ‘Natural Control Capabilities of Robotic Hands by Hand Amputated Subjects’ by Manfredo Atzori et al.
Khresmoi newsletter 6 is now available at:
http://khresmoi.eu/assets/Newsletter/newsletter6-khresmoi.pdf
It contains the following articles:
* Four years of Khresmoi
* Evaluating Khresmoi Professional with medical doctors
* The CLEF eHealth campaign
* Retrieval tied into the clinical workflow
* Project News
ParaDISE (Parallel Distributed Image Search Engine) is an image retrieval engine developed by the medGIFT research group as a replacement of the GIFT search engine in the context of the KHRESMOI project. The main concepts behind its design are scalability, flexibility, expandability and interoperability, allowing it to be used in standalone applications, integrated systems and for research purposes.
ParaDISE can be found at http://paradise.khresmoi.eu/
The research stay of Antonio Foncubierta at Martinos Center of Harvard Medical School finishes this week.
He’ll return to medGIFT offices in Sierre for his Thesis Defense in September.
Three papers submitted by the medGIFT group were accepted at the Swiss Society for Medical Informatics 2014 (SGMI 2014). The presentations will be held on the 8th and 9th September 2014 at Bern, Switzerland.
The accepted papers are:
– “Crowdsourcing for Medical Image Classification” by Alba García Seco de Herrera, Antonio Foncubierta-Rodríguez, Dimitrios Markonis, Roger Schaer, Henning Müller.
– “A Modern Web Interface for Medical Image Retrieval” by Roger Schaer and Henning Müller.
– ” Using Google Glass to enhance pre-hospital care” by Antoine Widmer and Henning Müller.
The medGIFT group had a paper presentation at the 37th annual international ACM Special Interest Group On Informaition Retrieval 2014 (ACM SIGIR 2014) conference. The conference took place at Queensland, Australia from the 6-11 July 2014.
The paper “Multi-modal relevance feedback for medical image retrieval” by Dimitrios Markonis, Roger Schaer and Henning Müller was presented as part of the Medical Information Retrieval (MedIR) workshop.
MedGIFT group won the 1st place at the International Conference on Biomedical Health Informatics (BHI) 2014 : Student Best Rapid Fire Session. The paper ‘Multi Atlas-Based Segmentation with an Intensity Feature Refinement’ by Oscar A. Jiménez del Toro and Henning Müller was presented during the session ‘Big Data in Healthcare’ at the BHI 2014.
The Student Best Rapid Fire Session is sponsored by the IEEE EMBS Biomedical and Health Informatics Technical Committee and IEEE EMBS Journal of Biomedical and Health Informatics.
The paper ‘Multi Atlas–Based Segmentation with an Intensity Feature Refinement’ by Jiménez del Toro et. al. will be presented at the 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
The presentation will take place during the Special Session ‘Big Data in Healthcare’, June 3, 2014.
The medGIFT group submitted three papers to the Swiss Society for Medical Informatics Annual Meeting 2014.
The presentations ‘Anatomical correlations for a hierarchical multi-atlas segmentation of the pancreas in CT images’ and ‘Anatomical correlations for a hierarchical multi-atlas segmentation of CT images’ by Oscar Jiménez and Henning Müller were presented at the IEEE International Symposium on Biomedical Imaging (ISBI) 2014.
The presentations were part of the ISBI challenges ‘Pancreas segmentation in Abdominal CT’ and VISCERAL ISBI challenge. The symposium took place from 29 April to 2 May in Beijing, China.
A draft version of the submitted paper can be accessed through our publications website.