Publications News
Best Paper Award at SIGCSE 2017
Congratulations to Erik Brunvand and Nina McCurdy whose paper, Making Noise: Using Sound-Art to Explore Technological Fluency, will receive one of three best paper awards at SIGCSE 2017.Abstract: We describe our experience designing and delivering a general education technological fluency course that frames the discussion of computer science and engineering technology (electronics and programming) in the context of sound-art: art that uses sound as its medium. This course is aimed at undergraduate students from a wide variety of backgrounds and is designed to fit into the "Intellectual Explorations" area of a general undergraduate program. The goal is to introduce computer engineering and computational principles to non-CS students through an exploration of sound-art, experimental and electronic music, noise-making circuits, hardware hacking, and circuit bending.
Awards at MICCAI and IEEE VIS 2016
With fall conferences in full swing, the SCI Institute and our alumni had an amazing showing.Alex Bigelow and SCI alumnus Roni Choudhury, who, along with Jeff Baumes from Kitware received the Visualization in Practice Best Paper Award at the IEEE Visualization Conference for their paper: Resonant Laboratory and Candela: Spreading your Visualization Ideas to the Masses. Chris Johnson was a participant in the panel: Pathways for Theoretical Advances in Visualization, moderated by Min Chen, which won the best panel award at the IEEE Visualization Conference. The other panelists included Georges Grinstein, Jessie Kennedy, Tamara Munzner, and Melanie Tory. Finally, congratulations to SCI Alumnus Julien Tierny, who with Hamish Carr received the Scientific Visualization Best Paper Award at the IEEE Visualization Conference for their paper: Jacobi Fiber Surfaces for Bivariate Reeb Space Computation.
Yong Wan recieved best poster at BioVis for his display of the functionality and application of FluoRender.
Caleb Rottman, who was a finalist for the MICCAI 2016 Young Scientist Award for his paper: Diffeomorphic Density Registration in Thoracic Computed Tomography. Caleb Rottman, Ben Larson, Pouya Sabouri, Amit Sawant, Sarang Joshi. Also at MICCAI, recent SCI Alumnus Miaomiao Zhang (Ph.D. 2015), was another of the finalists for the Young Scientist Award for her paper: Low-Dimensional Statistics of Anatomical Variability Via Compact Representation of Image Deformations. Miaomiao Zhang, William Sandy Wells, Polina Golland.
Making Sense of Data Now Available
Making Sense of Data, by Miriah Meyer and Danyel Fisher now available for pre-order from Amazon.From Amazon: You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden?
If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data.
Best Paper Award at PacificVis 2016
Congratulations Bei and Valerio and SCI alumni: Paul Rosen, Guoning Chen and Harsh Bhatia who were awarded Best Paper at IEEE PacificVis 2016.Critical Point Cancellation in 3D Vector Fields: Robustness and Discussion Primoz Skraba (Jozef Stefan Institute), Paul Rosen (University of South Florida), Bei Wang (University of Utah), Guoning Chen (University of Houston), Harsh Bhatia (Lawrence Livermore National Laboratory), Valerio Pascucci (University of Utah)
Mike Kirby among coauthors of ISC 2016 award winning paper
Congratulations to James King, Thomas Gilray, Robert M. Kirby and Matthew Might, whose paper: Dynamic Sparse-Matrix Allocation on GPUs, won the International SuperComputing PRACE-ISC Award 2016
Multiple Awards Received at IVAPP 2016
Congratulations to Hao Nguyen for winning both best paper and best PhD progect at the International Conference on Information Visualization Theory and Applications (IVAPP).Best Paper: H. Nguyen, P. Rosen, Improved identification of data correlations through correlation coordinate plots, Intl. Conf. on Information Visualization Theory and Applications (IVAPP), 2016.
Best PhD Project: H. Nguyen, P. Rosen, Data Scalable Approach for Identifying Correlation in Large and Muti-Dimensional Data, Intl. Conf. on Information Visualization Theory and Applications Doctoral Consortium (IVAPP), 2016.
Now Available: Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
S. Durrleman, P.T. Fletcher, G. Gerig, M. Niethammer, X. Pennec (Eds.)Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers
Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics, Vol. 8682, Springer LNCS
Now Available: Topological and Statistical Methods for Complex Data
Edited by J. Bennett, F. Vivodtzev, V. Pascucci- Latest peer-reviewed results in a growing research area
- Many applications in science and engineering
- Important contributions to the fields of mathematics and computer science
This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data.
Best Paper Award at MICCAI 2014
Congratulations to PhD student Miaomiao Zhang, who won the MICCAI 2014 Young Scientist Award (a.k.a., best paper award) for her paper:M. Zhang, P. T. Fletcher, Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration, MICCAI 2014.
MICCAI is the premiere venue in medical image analysis with ~1000 attendees.
Paper Featured on Cover of Journal of Cardiovascular Electrophysiology
Congratulations to Josh Blauer, Darrell Swenson, and Rob MacLeod, et. al. whose paper:J.J.E. Blauer, D. Swenson, K. Higuchi, G. Plank, R. Ranjan, N. Marrouche, and R.S. MacLeod. “Sensitivity and Specificity of Substrate Mapping: An In Silico Framework for the Evaluation of Electroanatomical Substrate Mapping Strategies,” In Journal of Cardiovascular Electrophysiology, In Journal of Cardiovascular Electrophysiology, Vol. 25, No. 7, pp. 774--780. May, 2014.
is featured on the cover of the July 2014 issue of the Journal of Cardiovascular Electrophysiology.
MRL Podcast: Deformation Causes Vascular Alignment During Angiogenesis
Jeff Weiss speaks with Deputy Editor of the AJP Heart and Circulatory Physiology Journal Dr. Merry Lindsey about the recent MRL publication:Clayton J. Underwood, Lowell T. Edgar, James B. Hoying, Jeffrey A. Weiss "Cell-generated traction forces and the resulting matrix deformation modulate microvascular alignment and growth during angiogenesis" Am J Physiol Heart Circ Physiol, published July 15, 2014. DOI: 10.1152/ajpheart.00995.2013.
Listen to the podcast here.