There’s an interesting free workshop coming up soonish, about
technology for sharing R or Python notebooks so that the code can be
run directly via the web. This is an excellent way to build
interactive code tutorials and demos that anyone can run without
installing anything on their machine.
Please check out the information at https://build-a-binder.github.io/
The University of Birmingham are holding rooms available for booking in the Chamberlain Halls that are a 25 minute walk from the conference venue. Rooms are £54 per room per night. Booking is possible via a link on theRSE Conference website. Click on the green ‘Book Accommodation’ link and you will be redirected to the University of Birmingham website. Accommodation is available to book for the Sunday 2nd, Monday 3rd and Tuesday 4th September. It is the responsibility of the attendee to book accommodation, separately from the conference registration.
Stay on an extra day to participate in this hackday. During this dedicated Hack Day, we want to: Give an overview of – and discuss – the Citation File Format, its tooling and workflows; Discuss what tools would be necessary to facilitate, e.g., better usability, optimized workflows, or integration with other tools in the software citation workflow (reference managers, repositories, other formats, etc.); Do some actual work around existing and new tools, as well as the Citation File Format itself and its documentation. Find out more
Call for papers: Bioimage Computing @ ECCV 2018
Bio-image computing (BIC) emerges as a rapidly growing field on the interface between engineering, biology and computer science. State-of-the-art light microscopy (LM) can deliver 2D and 3D image sequences of living cells with unprecedented image quality and ever growing resolution in space and time. The emergence of novel and quite diverse LM modalities has provided biologists with formidable means to explore cell mechanisms, embryogenesis, or neural development, to quote just a few fundamental biological issues. Electron microscopy (EM) supplies information on the cell structure down to the nanometer resolution. Correlating LM and EM at the microscopic level, and both with animal behavior at the macroscopic level, is of paramount importance. In the face of huge data sets, at a size of multiple TB per volume or video, and exceedingly difficult problems, state-of-the-art computer vision are required and need to be further developed.
Paper Submission: 2. Jul. 2018
Decision Notifications: 6. Aug. 2018
Camera Ready Deadline: After the workshop
Workshop: 14. Sep. 2018
Relevance to the computer vision community. This workshop will bring the latest challenges in bio-image computing to the computer vision community. At the same time it will showcase the specificities of bio-image computing and its current achievements, including issues related to image modeling, denoising, super-resolution, multi-scale segmentation, motion estimation, image registration, tracking, classification, event detection — important topics that appertain to the computer vision field.
Topics of interest include:
LM and EM image restoration and reconstruction
Reproducible image analyses over terabyte-sized images
Deep learning for bioimaging
Segmentation of subcellular objects, cells, and animals (instances and classes)
Multimodal image analysis (correlative LM and EM, various LM modalities)
Analysis of motion: particle tracking and tracking of cells, tissues, and organisms
Automated behavior recognition
Dense motion estimation in 2D and 3D LM image sequences
Statistical analysis of (object) shape
Evaluation and benchmarking methodologies of automated image algorithms/pipelines
Interactive image analyses (of gigapixel images)
Creating large collections of labeled training datasets
other technically interesting and biologically useful pipelines and algorithms…
Jens Rittscher (University of Oxford, UK)
Florian Jug (CSBD / MPI-CBG)
Anna Kreshuk (HCI, University Heidelberg / EMBL)
It is our pleasure to advertize the following Workshop/Course organized by EMBL, and jointly organised/funded by CORBEL, EMBL, German BioImaging and NEUBIAS.
This is a blended learning course on Machine Learning for Image Analysis, consisting of three online sessions with associated hands-on exercises prior to the workshop, a three day face-to-face workshop at EMBL Heidelberg and two optional online sessions with associated hands-on exercises after the workshop.
and I ask all MC members to please advertise this around them,
as agreed and voted in the Grant Period 3 Budget & Workplan.
Head of the Advanced Digital Microscopy Core Facility
Institute for Research in Biomedicine – IRB Barcelona
Barcelona Institute of Science and Technology – BIST
Baldiri Reixac, 10.
E-08028 Barcelona – Spain
Tel: +349340-20451 — Fax: +34934031116
Chair – COST Action CA15124