The 2017 ImageXD Workshop took place at the eScience Institute in Seatle, WA, on March 27-31, 2017.
— March 27-28: The event started with a free Software Carpentry workshop.
— March 29: Software tutorials, including machine learning with scikit learn and deep learning with TensorFlow.
— March 30: Invited talks on new image analysis pipelines in domain sciences, across scale, lightning talks focused on image processing workflows, and break-out sessions. Many of the presentations involved the use of the scikit-image library, a high-level, low barrier entry-point for doing image processing in Python.
- Biological Image Analysis using the ImageJ/Fiji Sofware Ecosystem - Kyle Harrington, University of Idaho
- Image Processing in Astronomy: Current Practice & Challenges Going Forward - Mario Juric, University of Washington
- Image Segmentation Across Domains Using Parallel Markov Random Field Technique - Talita Perciano, LBNL
- Delivering data, tolls and knowledge on brain cell types, connections and activity - Lydia Ng, Allen Institute for Brain Science
- Learning to See the Image - Stella Yu, ICSI Vision Group, UC Berkeley
— March 31: Collaborative Coding. Identify common issues faced by multiple domains so that we can collectively work towards solutions.
- Kevin Koy, BIDS
- Ariel Rokem, eScience Institute
- Valentina Staneva, eScience Institute
- Stéfan van der Walt, BIDS
- Dani Ushizima, BIDS
Kevin Koy served as BIDS Executive Director from 2014-2017. He was responsible for the administration and operations of BIDS and worked to connect people with the data, methods, and tools to accelerate their research.
Before joining BIDS, Kevin directed the Geospatial Innovation Facility in the College of Natural Resources, where he successfully built a thriving community focused on sharing scientific expertise and helping people understand the changing world through the analysis and visualization of spatial data.
Before arriving at Berkeley, Kevin worked with the American Museum of Natural History's Center for Biodiversity & Conservation and the Smithsonian's Conservation Biology Institute. He conducted research throughout Southeast Asia using data from radio-collared animals, sensors, and satellites to better understand the history and needs of unique and endangered ecosystems.
Kevin received a BA in environmental studies and anthropology from the University of Pennsylvania in 1998 and an MS in biology from George Mason University in 2003. He has also completed advanced graduate work in geography at the City University of New York with a focus on earth and environmental science.
BIDS Faculty Affiliate Dani Ushizima is a Staff Scientist in the Machine Learning and Analytics Group in the Computational Research Division at Berkeley Lab, where she leads the Image Processing/Machine Vision team at CAMERA, and an Affiliate Faculty of the Bakar Computational Health Sciences Institute (BCHSI) at the University of California, San Francisco. She also leads the Center for Recognition and Inspection of Cells (CRIC), where her research focuses on imaging cancer cells for early-stage disease diagnosis. With 20 years of research and development experience in Computer Vision, Dani has focused primarily on quantitative microscopy and microstructure classification, from materials science to biomedical imaging.
Stéfan van der Walt
Stéfan van der Walt is a researcher at BIDS. He is the founder of scikit-image and co-author of Elegant SciPy. Stéfan has been developing scientific open source software for more than a decade, focusing mainly on Python packages such as NumPy & SciPy. Outside work, he enjoys traveling, running, and the great outdoors.