“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.
Nora’s presentation Educational Outcomes Depend Both on Visual and Multisensory Control of Selective Attention has
been selected as a flash talk for the 1st Annual Meeting of the Swiss
Society of the Early Childhood Research, taking place on 18th of
November 2019 in Lausanne.
The paper entitled “Interpreting Intentionally Flawed Models with Linear Probes” by Mara Graziani, Henning Müller and Vincent Andrearczyk has been accepted for presentation at The First Workshop on Statistical Deep Learning in Computer Vision (SDL-CV). The workshop will be held in conjunction with ICCV 2019 in Seoul, Korea 27th Oct.
Find out more about the paper and source code on the medium post at this link.
Title and authors: “Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology”, Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan and Henning Müller
The paper Visualizing and Interpreting Feature Reuse of Pretrained CNNs for Histopathology by Mara Graziani, Vincent Andrearczyk and Henning Müller has been accepted at the Irish Machine Vision and Image Processing conference (IMVIP 2019). Meet our team at the poster presentation in Dublin, 28-30 August.
More details, paper preview and github repo in the medium post.
The paper “Solid Spherical Energy (SSE) CNNs for Efficient 3D Medical Image Analysis”, by Vincent Andrearczyk, Valentin Oreiller, Julien Fageot, Xavier Montet and Adrien Depeursinge has been accepted for presentation at the Irish Machine Vision and Image Processing conference (IMVIP 2019), to be held in Dublin 28-30 August.
Congratulations to Amjad Khan for successfully defending his Master’s thesis entitled “Improving Generalization of Convolution Neural Networks for Digital Pathology by Minimizing Stain Heterogeneity through Normalization, Augmentation and Domain Learning”, under the supervision of Prof. Henning Müller.
Proceedings of the thesis of the Erasmus Mundus Joint Master Degree in Medical Imaging and Applications (MaIA) are available here.
The paper “Reference Exascale Architecture” has been accepted for publication at the EINFRA19 workshop at IEEE eScience 2019.
The half-day workshop will take place on the 24th of September in San Diego, CA, USA.
Full list of authors: Martin Bobák, Ladislav Hluchy, Adam S. Z. Belloum, Reginald Cushing, Jan Meizner, Piotr Nowakowski, Viet Tran, Ondrej Habala, Jason Maassen, Balázs Somosköi, Mara Graziani, Matti Heikkurinen, Maximilian Höb and Jan Schmidt
The paper entitled “Fusing Learned Representations from Riesz Filters and Deep CNNs for Lung Tissue Classification” by Ranveer Joyseeree, Sebastian Otálora, Henning Müller and Adrien Depeursinge has been accepted for publication in Medical Image Analysis (MedIA).
The paper entitled “Analyzing the trade-off between training session
time and performance in myoelectric hand gesture recognition during
upper limb movement” by Matteo Cognolato, Lorenzo Brigato, Yashin
Dicente Cid, Manfredo Atzori, Henning Müller has been
accepted for publication at the 2019 IEEE-RAS-EMBS International
Conference on Rehabilitation Robotics (ICORR).