Content-Based Image Retrieval
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 “Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature“, by Roger Schaer, Sebastian Otálora, Oscar Jimenez-del-Toro, Manfredo Atzori and Henning Müller has been accepted for publication in Journal of Pathology Informatics.
The paper “Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography” by Oscar Perdomo, Hernan Rios, Francisco Rodriguez, Sebastian Otalora, Fabrice Meriaudeau, Henning Müller and Fabio A. Gonzalez has been accepted for publication in Computer Methods and Programs in Biomedicine (CMPB).
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 journal paper entitled “Neural Network Training for Cross-Protocol Radiomic Feature Standardization in Computed Tomography“, by Vincent Andrearczyk, Adrien Depeursinge and Henning Müller has been accepted for publication in the Journal of Medical Imaging (JMI).
Yashin Dicente was presenting his work at the international conference on Information Processing in Medical Imaging (IPMI) in Hong Kong yesterday with great interest and feedback from the attendees.
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).
Henning Müller and Yashin Dicente are actively participating to the International Conference on Pattern Recognition and Information Processing (PRIP)
Prof. Henning Müller gave a keynote on image-based medical decision support in the age of deep learning and presented in a workshop.
Dr. Yashin Dicente presented his work on lung graph models at the workshop on artificial intelligence, deep learning and robotics.
The paper entitled “Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset” by Néstor J. Jarque-Bou, Alessandro Scano, Manfredo Atzori and Henning Müller has been accepted for publication at Journal of NeuroEngineering and Rehabilitation (JNER).
The 5th Valais/Wallis AI Workshop took place last Friday May 3rd at the Idiap Research Institute.
Mara Graziani presented her work on “Concept Measures to Explain Deep Learning Predictions in Medical Imaging” (video).
Vincent Andrearczyk talked about the “Transparency of rotation-equivariant CNNs via local geometric priors” (video).
Keynote speech by Prof. Pena Carlos Andrés and other presentations are also available here.
The paper entitled “An Augmented Reality Environment to Provide Visual Feedback to Amputees during sEMG Data Acquisitions” by Francesca Palermo, Matteo Cognolato, Ivan Eggel, Manfredo Atzori and Henning Müller has been accepted for publication at Towards Autonomous Robotic Systems (TAROS 2019). The 20th TAROS conference will be held at the Queen Mary University of London, 3-5 July 2019.
The 5th edition of Valais/Wallis AI Workshop on machine learning interpretability will take place on May
The program under preparation can be found here. Registration is now open.
The paper entitled “Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness” by Dmitry Cherezov, Dmitry Goldgof, Lawrence Hall, Robert Gillies, Matthew Schabath, Henning Müller and Adrien Depeursinge has been accepted for publication in Nature Scientific Reports.
The paper entitled “Exploring local rotation invariance in 3D CNNs with steerable filters“, by Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet and Adrien Depeursinge has been accepted for oral presentation at the International Conference on Medical Imaging with Deep Learning (MIDL). It will be held in London, 8 – 10 July 2019.
The paper entitled “A Graph Model of the Lungs with Morphology-based Structure for Tuberculosis Type Classification” by Yashin Dicente Cid, Oscar Jiménez-del-Toro, Pierre-Alexandre Poletti and Henning Müller, has been accepted at the 26th biennial international conference on Information Processing in Medical Imaging (IPMI 2019). The conference will be held in Hong Kong in June (2-7).
Congratulations to the authors!
The paper entitled “A quantitative taxonomy of human hand grasps” by Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller and Manfredo Atzori has been accepted for publication in Journal of NeuroEngineering and Rehabilitation.
Paper available here
Dr. Paul Matusz curated a special issue “Are we ready for real-world neuroscience”? at Journal of Cognitive Neuroscience following his symposium at 2017 Annual Meeting of Cognitive Neuroscience Society under the same title –https://www.mitpressjournals.org/toc/jocn/31/3
Dr. Vincent Andrearczyk will present his work at Stanford University on “Local rotation invariance in 3D CNNs with steerable filters”, on Feb 14 at the Laboratory of Quantitative Imaging and Artificial Intelligence (QIAI) directed by Prof. Daniel L. Rubin.
The paper entitled “A Quantitative Taxonomy of Human Hand Grasps” by
Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller and Manfredo Atzori has been accepted for publication in Journal of NeuroEngineering and Rehabilitation (JNER).