Four scientific papers accepted at SPIE Medical Imaging 2020

Four papers have been accepted for oral presentations at the 2020 SPIE Medical Imaging conference which will be held in Houston, Texas, 15 – 20 February 2020. Further proof of the quality of the research carried out at the Institute of Information Systems HES-SO Valais-Wallis in the field of medical image analysis.

Here are the 4 papers and the track where they will be presented :

• “Exploiting the PubMed central repository to mine out a large multimodal dataset of rare cancer studies” by Anjani K. Dhrangadhariya, Oscar Jimenez-del-Toro, Vincent Andrearczyk, Manfredo Atzori and Henning Müller, in the Imaging Informatics for Healthcare, Research, and Applications track.
• “A systematic comparison of deep learning strategies for weakly supervised Gleason grading” by Sebastian Otálora, Oscar Jimenez-del-Toro, Manfredo Atzori, Amjad Khan, Vincent Andrearczyk and Henning Müller, in the Digital Pathology track.
• “An exploration of uncertainty information for segmentation quality assessment” by Katharina Hoebel, Vincent Andrearczyk, Andrew L. Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller and Jayashree Kalpathy-Cramer, in the Image Processing track.
• “Generalizing convolution neural networks on stain color heterogeneous data for computational pathology”, by Amjad Khan, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk and Henning Müller, in the Digital Pathology track.

Congratulations to all the researchers who collaborated on these projects !