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 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).
Congratulations to Francesca Palermo for winning the award for best thesis on disability at Sapienza University of Rome for her work entitled “Repeatability analysis of hand movement recognition for control of robotic prosthesis based on sEMG data”.
The PhD thesis of Yashin Dicente is now available online at the UNIGE archive-ouverte.
The thesis entitled “Lung tissue analysis: from local visual descriptors to global modeling” was co-supervised by Henning Müller and Stéphane Marchand-Maillet.
The following paper has been accepted for publication in Nature Communications:
“Why rankings of biomedical image analysis competitions should be interpreted with care“, by Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew Bradley, Aaron Carass, Carolin Feldmann, Alejandro Frangi, Peter Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett Landman, Keno März, Oskar Maier, Klaus Maier-Hein, Bjoern Menze, Henning Müller, Peter Neher, Wiro Niessen, Nasir Rajpoot, Gregory Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, and Annette Kopp-Schneider
- “Improved interpretability for computer-aided severity assessment of retinopathy of prematurity “, Mara Graziani, James M. Brown, Vincent Andrearczyk, Veysi Yildiz, J Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Michael F. Chiang, Jayashree Kalpathy-Cramer and Henning Müller, oral presentation at the Computer-Aided Diagnosis conference track.
- “Learning cross-protocol radiomics and deep feature standardization from CT images of texture phantoms”, Vincent Andrearczyk, Adrien Depeursinge and Henning Müller, oral presentation at the Imaging Informatics for Healthcare, Research, and Applications conference track.
- “A Lung Graph Model for the Classification of Interstitial Lung Disease on CT Images”, Guillaume Vanoost, Yashin Dicente and Adrien Depeursinge, poster presentation at the Computer-Aided Diagnosis conference track.
The paper entitled “Muscle Synergy Analysis of a Hand-Grasp Dataset: a limited subset of motor modules may underlie a large variety of grasps”, by Alessandro Scano, Andrea Chiavenna, Lorenzo Molinari Tosatti, Henning Müller and Manfredo Atzori has been published in Frontiers in Neurorobotics.
Online publication here.
Congratulations to Mara Graziani for receiving the best paper award for her work on “Regression Concept Vectors for Bidirectional Explanations in Histopathology” at MICCAI iMIMIC workshop, Granada, 2018.
The project “Exploring the utility of new Artificial Intelligence and Deep Learning methods for radiological image analysis and lung disease diagnosis” was accepted by the Leading House for Swiss-Russian Science & Technology Cooperation. Principal applicant prof. Henning Müller, in collaboration with the institute for information problems at the National Academy of Sciences, Belarus
The EXA MODE Project passed the ICT-12-2018-2020 — Big Data technologies and extreme-scale analytics call evaluation phase.
EXA MODE (EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement) includes seven partners from the European Union and Switzerland. The project will be financed by EU in order to revolutionise digital pathology.
On Sepember 16, at the Granada Conference Center, Dr. Manfredo Atzori will present the talk “Data variability as a challenge to improve classification and retrieval in digital pathology” at the workshop on Computational Pathology (COMPAY) part of the 21st international conference on medical image computing & computer assisted intervention (MICCAI 2018).
link to invited speakers: https://sites.google.com/site/compaysymposium2018/speakers