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Science & Medicine

Science and Medicine

Stable versus Temporally Sensitive Optical Security Tags from Metal Nanoparticles

Maha Ibrar, Megan Knobeloch, Nayana Christudas Beena, Yaroslav Losovyj, Sheng-Yuan Huang, Claire McCurtain, David Crandall, et al.
Nano Letters 2025
[paper]

Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments

Diane Kuhn, Nicholas Harrison, Paul Musey, David J. Crandall, Peter Pang, Julie Welch, Christopher Harle
International Journal of Medical Informatics 2025

Multi-resolution Guided 3D GANs for Medical Image Translation

Juhyung Ha, Jong Sung Park, David Crandall, Eleftherios Garyfallidis, Xuhong Zhang
WACV 2025
[paper]

Bridging Human Intuition and AI in Colorful Food Assessment

Weslie Khoo, Long-Jing Hsu, Frangil M. Ramirez, Liang Jhen Huang, Trisha Konkimalla, Chia-Fang Chung, David J. Crandall
CHI 2025
[paper]

Modular Anti-counterfeit Tags Formed by Template-Assisted Self-Assembly of Plasmonic Nanocrystals and Authenticated by Machine Learning

Maha Ibrar, Sheng-Yuan Huang, Zachery McCurtain, Shujon Naha, David J. Crandall, Stephen C. Jacobson, Sara E. Skrabalak
Advanced Functional Materials 2024
[paper]

Social signals predict contemporary art prices better than visual features, particularly in emerging markets

Kangsan Lee, Jaehyuk Park, Sam Goree, David J. Crandall, Yong-Yeol Ahn
Scientific Reports 2024
[paper]

Exploring Medical YouTubers' Parasocial Visual Cues in Their COVID-related Videos

Shujon Naha, Seung Woo Chae, Noriko Hara, David Crandall
SMSociety 2024

Plasmonic Anti-counterfeit Tags with High Encoding Capacity Rapidly Authenticated with Deep Machine Learning

Joshua Smith, Md Alimoor Reza, Nathanael Smith, Jianxin Gu, Maha Ibrar, David Crandall, Sara Skrabalak
ACS Nano 2021

Deep Tiered Image Segmentation for Detecting Internal Ice Layers in Radar Imagery

Yuchen Wang, Mingze Xu, John Paden, Lara Koenig, Geoffrey C. Fox, David J. Crandall
ICME 2021
[paper]

Computer Vision for Dietary Assessment

Chia-Fang Chung, Alejandra Ramos, Pei-Ni Chiang, Chien-Chun Wu, Connie Anne Tan, Weslie Khoo, David Crandall
CHI Workshop on Realizing AI in Healthcare: Challenges Appearing in the Wild 2021
[paper] [video]

Deep Neural Network-based Detection and Verification of Microelectronic Images

Md Alimoor Reza, Zhenhua Chen, David J. Crandall
Journal of Hardware and Systems Security 2020
[paper]

Automated Ice-Bottom Tracking of 2D and 3D Ice Radar Imagery Using Viterbi and TRW-S

Victor Berger, Mingze Xu, Mohanad Al-Ibadi, Shane Chu, David Crandall, John Paden, Geoffrey Fox
JSTARS 2019
[paper]

World Heritage in danger: Big data and remote sensing can help protect sites in conflict zones

Noam Levin, Saleem Ali, David Crandall, Salit Kark
Global Environmental Change 2019
[paper]

A Framework for Estimating Sleep Timing from Digital Footprints

Bo-chiuan Chen, Dong-Chul Seo, Hsien-Chang Lin, David Crandall
BMJ Innovations 2018
[paper]

Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study

Noam Levin, Saleem Ali, David Crandall
Applied Geography 2018
[paper]

Multi-Task Spatiotemporal Neural Networks for Structured Surface Reconstruction

Mingze Xu, Chenyou Fan, John Paden, Geoffrey Fox, David Crandall
WACV 2018
[paper] [website] [video]

Crossover Analysis and Automated Layer-Tracking Assessment of the Extracted DEM of the Basal Topography of the Canadian Arctic Archipelago Ice-Cap

Mohanad Al-Ibadi, Jordan Sprick, Sravya Athinarapu, Victor Berger, Theresa Stumpf, John Paden, Carl Leuschen, et al.
IEEE Radar Conference 2018
[paper]

Automatic estimation of ice bottom surfaces from radar imagery

Mingze Xu, David J. Crandall, Geoffrey C. Fox, John D. Paden
ICIP 2017
[paper] [website]

Addressing supply chain risks of microelectronic devices through computer vision

Zhenhua Chen, Tingyi Wanyan, Ramya Rao, Benjamin Cutilli, James Sowinski, David Crandall, Robert Templeman
AIPR 2017
[paper]

Analyzing figures of brain images from Alzheimer's Disease Papers

Satoshi Tsutsui, Guilin Meng, Xiaohui Yao, David Crandall, Ying Ding
iConference 2017
[paper]

Tracking Natural Events through Social Media and Computer Vision

Jingya Wang, Mohammed Korayem, Saul Blanco, David Crandall
MM 2016
[paper] [website]

Where have all the people gone? Enhancing global conservation using night lights and social media

Noam Levin, Salit Kark, David Crandall
Ecological Applications 2015
[paper]

Predicting Geo-informative Attributes in Large-scale Image Collections using Convolutional Neural Networks

Stefan Lee, Haipeng Zhang, David Crandall
WACV 2015
[paper] [website]

Estimating Bedrock and Surface Layer Boundaries and Confidence Intervals in Ice Sheet Radar Imagery using MCMC

Stefan Lee, Jerome Mitchell, David Crandall, Geoffrey C. Fox
ICIP 2014
[paper] [website]

Observing the natural world with Flickr

Jingya Wang, Mohammed Korayem, David Crandall
ICCV CVCP Workshop 2013
[paper]

Automatic Near Surface Estimation from Snow Radar Imagery

Jerome E. Mitchell, David Crandall, Geoffrey Fox, John Paden
IGARSS 2013
[paper]

Layer-finding in radar echograms using probabilistic graphical models

David Crandall, Geoffrey Fox, John Paden
ICPR 2012
[paper] [website]

Mining Photo-sharing Websites to Study Ecological Phenomena

Haipeng Zhang, Mohammed Korayem, David Crandall, Gretchen LeBuhn
WWW 2012
[paper] [website]

Feedback Effects between Similarity and Social Influence in Online Communities

David Crandall, Daniel Cosley, Daniel Huttenlocher, Jon Kleinberg, Sid Suri
KDD 2008
[paper] [video]

Science & Medicine

Science and Medicine

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