Waterproof, breathable, and antibacterial self‐powered e‐textiles based on omniphobic triboelectric nanogenerators M Sala de Medeiros, D Chanci, C Moreno, D Goswami, RV Martinez Advanced Functional Materials 29 (42), 1904350, 2019 | 132 | 2019 |
Moisture-insensitive, self-powered paper-based flexible electronics MS de Medeiros, D Chanci, RV Martinez Nano Energy 78, 105301, 2020 | 42 | 2020 |
Washable, breathable, and stretchable e-textiles wirelessly powered by omniphobic silk-based coils MS de Medeiros, D Goswami, D Chanci, C Moreno, RV Martinez Nano Energy 87, 106155, 2021 | 39 | 2021 |
SACHETS: Semi-autonomous cognitive hybrid emergency teleoperated suction JA Barragan, D Chanci, D Yu, JP Wachs 2021 30th IEEE International Conference on Robot & Human Interactive …, 2021 | 8 | 2021 |
Touchless interfaces in the operating room: a study in gesture preferences N Madapana, D Chanci, G Gonzalez, L Zhang, JP Wachs International Journal of Human–Computer Interaction 39 (3), 438-448, 2023 | 4 | 2023 |
Development and validation of a model for endotracheal intubation and mechanical ventilation prediction in PICU patients D Chanci, JR Grunwell, A Rafiei, R Moore, NR Bishop, P Rajapreyar, ... Pediatric Critical Care Medicine 25 (3), 212-221, 2024 | 3 | 2024 |
Human-centered XAI for Burn Depth Characterization MJ Jacobson, DC Arrubla, MR Tricas, G Gordillo, Y Xue, C Sen, J Wachs arXiv preprint arXiv:2210.13535, 2022 | 1 | 2022 |
Correlation Between Gestures’ Qualitative Properties and Usa-bility metrics D Chanci, N Madapana, G Gonzalez, J Wachs Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1 …, 2020 | 1 | 2020 |
Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence MJ Jacobson, ME Masry, DC Arrubla, MR Tricas, SC Gnyawali, X Zhang, ... Military Medicine 188 (Supplement_6), 674-681, 2023 | | 2023 |
AHuman-CENTERED EXPLAINABLE AI FRAMEWORK FOR BURN DEPTH CHARACTERIZATION MJ Jacobson, DC Arrubla, MR Tricas, G Gordillo, Y Xue, C Sen, J Wachs | | 2023 |
Automatic Assessment of Burn Injuries Using Artificial Intelligence DC Arrubla Purdue University, 2021 | | 2021 |