| Multimodal representation learning via maximization of local mutual information R Liao, D Moyer, M Cha, K Quigley, S Berkowitz, S Horng, P Golland, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 43 | 2021 |
| A Late Cretaceous‐Eocene Geomagnetic Polarity Timescale (MQSD20) That Steadies Spreading Rates on Multiple Mid‐Ocean Ridge Flanks A Malinverno, KW Quigley, A Staro, J Dyment Journal of Geophysical Research: Solid Earth 125 (8), e2020JB020034, 2020 | 14 | 2020 |
| Fiber-based chemical sensing and sensing platforms with colorimetric dyes RP Kingsborough, S Giardini, DJ Lee, JH Kim, K Quigley, A Stolyarov, ... Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing …, 2018 | 5 | 2018 |
| Graph Contrastive Learning for Materials T Koker, K Quigley, W Spaeth, NC Frey, L Li arXiv preprint arXiv:2211.13408, 2022 | 3 | 2022 |
| RadTex: Learning Efficient Radiograph Representations from Text Reports K Quigley, M Cha, R Liao, G Chauhan, S Horng, S Berkowitz, P Golland MICCAI Workshop on Resource-Efficient Medical Image Analysis, 22-31, 2022 | 1 | 2022 |
| Physical amplification of chemical colorimetric sensing R Odessey, DJ Lee, K Quigley, JH Kim, S Giardini, R Osgood, J Xu Advanced Environmental, Chemical, and Biological Sensing Technologies XV …, 2019 | 1 | 2019 |
| An Active Fire Temperature Retrieval Model Using Hyperspectral Remote Sensing KW Quigley, DA Roberts, D Miller AGU Fall Meeting Abstracts 2017, GC51B-0805, 2017 | 1 | 2017 |
| Equivarient Electron Density Predictions Accelerate Density Functional Theory Calculations T Koker, K Quigley, E Taw, L Li Bulletin of the American Physical Society, 2024 | | 2024 |
| Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials T Koker, K Quigley, E Taw, K Tibbetts, L Li arXiv preprint arXiv:2312.05388, 2023 | | 2023 |
| Bidirectional Captioning for Clinically Accurate and Interpretable Models K Quigley, M Cha, J Barua, G Chauhan, S Berkowitz, S Horng, P Golland arXiv preprint arXiv:2310.19635, 2023 | | 2023 |
| Higher Order Equivariant Graph Neural Networks for Charge Density Prediction T Koker, K Quigley, L Li NeurIPS 2023 AI for Science Workshop, 2023 | | 2023 |
| Propeller design systems and methods P Sharpe, K Quigley, T Sebastian, J Belarge, R Fontaine, D Maurer US Patent 11,593,534, 2023 | | 2023 |
| Developing Modular Autonomous Capabilities for sUAS Operations K Quigley, V Goodwin, L Alvarez, J Yao, YS Maclara arXiv preprint arXiv:2211.01813, 2022 | | 2022 |
| Burning Up: Modeling Fire Temperature Using Hyperspectral Remote Sensing MK Conkling, P Sullivan, D Roberts, K Quigley AGU Fall Meeting Abstracts 2021, B25M-1645, 2021 | | 2021 |
| An Updated Late Cretaceous-Eocene Geomagnetic Polarity Time Scale That Steadies Spreading Rates on Multiple Mid-Ocean Ridge Flanks A Malinverno, KW Quigley, A Staro, J Dyment AGU Fall Meeting Abstracts 2019, GP44A-05, 2019 | | 2019 |
| Updating the Late Cretaceous-Eocene Geomagnetic Polarity Time Scale with Marine Magnetic Anomalies: A Progress Report. A Malinverno, K Quigley, A Staro, J Dyment Geophysical Research Abstracts 21, 2019 | | 2019 |
| Physical Amplification of Chemical Colorimetric Sensing and a Transfer Matrix Analysis K Quigley | | 2018 |
| Updating the Geomagnetic Polarity Time Scale with Marine Magnetic Anomalies (Chrons C13-C33, 33-83 Ma): A Progress Report KW Quigley, A Malinverno AGU Fall Meeting Abstracts 2016, GP43C-1255, 2016 | | 2016 |
