The website for the Horizon2020 European project PROviding Computing solutions for ExaScale challengeS will be officially launched on April 16, 2018, at this link: http://www.process-project.eu/
The project will deliver a user-friendly access to extreme scale data processing for scientific research, facilitating the access to high-performance computing resources. Our involvement in the project consists in the development of improved algorithms for automated cancer diagnosis.
The paper “Distributed container-based evaluation platform for private/large datasets” by Ivan Eggel, Roger Schaer and Henning Müller has been accepted for presentation at the 17th International Symposium on Parallel and Distributed Computing (
The following papers:
“Automated Diabetic Macular Edema (DME) Analysis Using FineTuning with Inception-Resnet-v2 on OCT Images” by Ravi Kamble, Genevieve C Y Chan, Oscar Julian Perdomo Charry, manesh kokare, Henning Müller, fabrice meriaudeau
“Fusion of Results of Several Deep Learning Architecturesfor Automatic Classification of Normal and Diabetic MacularEdema in Optical Coherence Tomography” by Genevieve C Y Chan, Ravi Kamble, Henning Müller, Syed Shah, Tong Boon Tang, fabrice Meriaudeau
have been accepted for presentation at the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference (EMBC’ 18) to be held at the Honolulu, HI, USA, July 17-21, 2018.
The journal paper “Head-mounted Eye Gaze Tracking Devices: an Overview of Modern Devices and Recent Advances.” by Matteo Cognolato, Manfredo Atzori and Henning Müller was accepted for publication at SAGE Journal of Rehabilitation and Assistive Technologies Engineering (RATE).
LifeCLEF was chosen as the challenge of the month by Computer Vision News.
Link to the article here.
Dr Paul Matusz is giving an invited talk in Geneva at the Centre Imagerie Biomedicale on using EEG and electrical neuroimaging analysis techniques to better understand brain, sensory and cognitive development. It will take place at HUG at 10AM on Friday, March 2nd.
More information available here.
The journal paper “Rotation-Covariant Tissue Analysis for Interstitial Lung Diseases Using Learned Steerable Filters: Performance Evaluation and Relevance for Diagnostic Aid” by Ranveer Joyseeree, Henning Müller and Adrien Depeursinge was accepted for publication at Computerized Medical Imaging and Graphics (CMIG).
More information on the website: http://fst.ch/fr/
The paper “OCT-NET: A convolutional network for automatic classification of normal and diabetic macular edema using SD-OCT volumes” by Oscar Julian Perdomo, Sebastian Otálora, Fabio González, fabrice Meriaudeau and Henning Müller was accepted at the 2018 IEEE International Symposium on Biomedical Imaging: ISBI 2018
A new video was published on youtube showing our current tests to control a 3D printed hand in real time with surface electromyography.
New milestone for ContextVision/HES-SO: Presents demo of a new search tool for digital pathology.
Henning Müller is giving a 90 min presentation today on ” Visual medical decision support and medical information retrieval: new ideas for business models” at Digital Product School (https://www.digitalproductschool.io)
Adrien Depeursinge presented his work on “Leveraging 3D texture information in PET and CT images for precision medicine with the QuantImage platform” at the predictive radiology workshop on November 13th, 2017 in the Lausanne University Hospital CHUV.
Link to the slides: https://drive.switch.ch/index.php/s/4nC3sGKPNgWcxnN
Roger Schaer presented his work on “
Sebastian Otalora introduced his work on “Deep Learning in small medical datasets: An active learning approach” at a spotlight session.
The journal article “Comparison of six electromyography acquisition setups on hand movement classification tasks” has been accepted in Plos One and is now available here: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0186132
The journal article ‘Large-scale retrieval for medical image analytics: A comprehensive review’ by Zhongyu Li, Xiaofan Zhang,Henning Müller and Shaoting Zhang has been published in Medical Image Analysis.