Registration now open for 2018 ImageXD Workshop, May 16-18

April 12, 2018

Registration is now open for the third annual ImageXD Annual Workshop being held on May 16-18, 2018, at UC Berkeley.  ImageXD (Image Processing Across Domains) is sponsored by the Berkeley Institute for Data Science (BIDS), and seeks to bring together a cross-disciplinary community of people interested in all aspects of development and application of image processing, analysis and classification algorithms and tools. The three-day event will feature a range of opportunities to learn, exchange ideas, and apply new approaches.

Where: Berkeley Institute for Data Science, 190 Doe Library, UC Berkeley
When: May 16-18, 2018, 8:30 AM - 5:30 PM

Program

  • Day 1: Hands-on learning sessions on image analysis and deep learning tools to help you be more productive -- including Q&A with developers (NumPy, SciPy, Scikit-image, Deep Learning with Keras and Tensor Flow, Dask)
  • Days 2-3: Presentations and hands-on make/create sessions - focusing on tools, applications and approaches from across disciplines (neuroscience, radiology, microscopy, deep networks, visualization, etc).

Lunchtime panels will provide extra opportunity for participants to interact with the morning speakers, ask questions, share experience and ideas, and foster exchange to break down boundaries between disciplines and projects

Additional speakers are being confirmed daily.

Note: Attendees must bring their own laptops.

Register

Note: Space is limited. Please register early!  Interested registered participants will be accepted as long as space is available. Confirmations will be sent out by late April.

ImageXD workshops are open to anyone involved in diverse aspects of image analysis across disciplines, and includes representatives from universities, industry and national labs.

We look forward to seeing you!

The 2018 ImageXD Organizing Committee
Berkeley Institute for Data Science (BIDS) - UC Berkeley



Featured Fellow

Daniela Ushizima

Computational Research Division, Lawrence Berkeley National Lab

Stéfan van der Walt

Berkeley Institute for Data Science
Research Fellow