Members of the CIBM community had the opportunity to present their research through pre-recorded video presentations, pitches, live Q/A sessions, as well as digital posters at the Medical Image Computing and Computer-Assisted Intervention society’s 23rd international conference from October 4th to 8th, 2020. The MICCAI annual conference was originally planned to take place in Lima, Peru, but transitioned to a fully virtual event due to the global sanitary context.
MICCAI – for and from the CIBM community
Dr. Gabriel Girard, research staff scientist from the CIBM SP CHUV-EPFL section, said of the conference, “MICCAI is one of the largest conferences for medical imaging methods. Several research groups of the diffusion MRI community submit their work and attend the conference. The workshop CDMRI is a one-day workshop focused on novel diffusion MRI methods. The discussions at the workshop are particularly interesting as they provide feedback on ongoing research projects from the community. It is important the CIBM be there to engage in those discussions.”
An award winning paper entitled “HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification” co-authored by Pushpak Pati, Guillaume Jaume, Lauren Alisha Fernandes Antonio Foncubierta-Rodrıguez, Florinda Feroce, Anna Maria Anniciello, Giosue Scognamiglio, Nadia Brancati, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Orcun Goksel, Jean-Philippe Thiran, Maria Frucci, and Maria Gabran, from LTS5, EPFL, headed by Prof. Jean-Philippe Thiran and who is also the CIBM SP CHUV-EPFL section head, was presented at the Third International Workshop on Graphs in Biomedical Image Analysis (GRAIL) held in conjunction with MICCAI 2020. The GRAIL workshop highlighted the potential of using graph-based models for biomedical image analysis.
Here is a flavor of various research topics presented by the members of the CIBM signal processing community at MICCAI 2020:
- Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer (PDF available here), Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, and Jean-Philippe Thiran
- SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays (PDF available here), Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray, and Jean-Philippe Thiran
- Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI (PDF available here), Francesco La Rosa, Erin S Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S Reich, Pascal Sati, and Meritxell Bach Cuadra
- T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions (PDF available here), Hélène Lajous, Tom Hilbert, Christopher W. Roy, Sébastien Tourbier, Priscille de Dumast, Thomas Yu, Jean-Philippe Thiran, Jean-Baptiste Ledoux, Davide Piccini, Patric Hagmann, Reto Meuli, Tobias Kober, Matthias Stuber, Ruud B. van Heeswijk, and Meritxell Bach Cuadra
- Structure-Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance (PDF available here), Dwarikanath Mahapatra, Behzad Bozorgtabar, Jean-Philippe Thiran, and Ling Shao
- A Signal Peak Separation Index for axisymmetric B-tensor encoding (PDF available here), Gaëtan Rensonnet, Jonathan Rafael-Patiño, Benoît Macq, Jean-Philippe Thiran, Gabriel Girard, and Marco Pizzolato
- An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms (PDF available here), Raphaël Truffet, Jonathan Rafael-Patiño, Gabriel Girard, Marco Pizzolato, Christian Barillot, Jean-Philippe Thiran, and Emmanuel Caruyer
About MICCAI :
MICCAI is the result of the merger, in 1998, of three independent international conferences: Computer Vision, Virtual Reality and Robotics in Medicine (CVRMed), Medical Robotics and Computer Assisted Surgery (MRCAS), and Visualization in Biomedical Computing (VBC). Six years later, the MICCAI society was formed with the aim of providing a unifying forum for state-of-the-art methodologies and applications in the field of medical image computing, computer-assisted medical interventions and medical robotics. The MICCAI annual conference brings together world-leading biomedical scientists, engineers and clinicians from diverse horizons.
MICCAI 2020 in numbers:
- 542 peer-reviewed papers accepted out of 1876 submitted;
- 57 satellite events (the first and last days were dedicated to various workshops, tutorials, and challenges);
- 3 keynotes;
- 1 panel with the Radiological Society of North America (RSNA);
- 1 “Women in MICCAI” session to strengthen and widen the representation of female scientists in the MICCAI community, but also to support minorities and promote geographic diversity;
- 1 industry panel with representatives of leading companies;
- 19 virtual industry/sponsor booths;
- 1 start-up village elevator pitch event;
- 1 mentorship program for students and young researchers.
Besides formal presentations, various networking and social events were organized by the MICCAI Student Board to make the most out of the situation.
CIBM looks forward to the 24th edition of MICCAI (September 27th – October 1st 2021) in Strasbourg, France !