14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon KM Jablonka, Q Ai, A Al-Feghali, S Badhwar, JD Bocarsly, AM Bran, ... Digital Discovery 2 (5), 1233-1250, 2023 | 73 | 2023 |
Preoperative characteristics and cytological features of 136 histologically confirmed pancreatic mucinous cystic neoplasms A Scourtas, JC Dudley, WR Brugge, A Kadayifci, M Mino‐Kenudson, ... Cancer Cytopathology 125 (3), 169-177, 2017 | 38 | 2017 |
Multi-sample whole slide image processing in digital pathology via multi-resolution registration and machine learning EW Wirch, A Andryushkin, IIRY Wingard, N Lee, AO Scourtas, DC Wilbur US Patent 10,943,346, 2021 | 21 | 2021 |
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy N Ravi, P Chaturvedi, EA Huerta, Z Liu, R Chard, A Scourtas, KJ Schmidt, ... Scientific Data 9 (1), 657, 2022 | 18 | 2022 |
Graph network based deep learning of bandgaps XG Li, B Blaiszik, ME Schwarting, R Jacobs, A Scourtas, KJ Schmidt, ... The Journal of Chemical Physics 155 (15), 2021 | 16 | 2021 |
The histologic evolution of revealed, acute abruptions AL Chen, IT Goldfarb, AO Scourtas, DJ Roberts Human pathology 67, 187-197, 2017 | 15 | 2017 |
Benchmark tests of atom segmentation deep learning models with a consistent dataset J Wei, B Blaiszik, A Scourtas, D Morgan, PM Voyles Microscopy and Microanalysis 29 (2), 552-562, 2023 | 7 | 2023 |
Virtual slide stage (VSS) method for viewing whole slide images EW Wirch, DC Wilbur, IIRY Wingard, MR Tomer, KC Dorosh, JM Gaines, ... US Patent 10,663,711, 2020 | 6 | 2020 |
Multi-sample whole slide image processing in digital pathology via multi-resolution registration and machine learning EW Wirch, A Andryushkin, IIRY Wingard, N Lee, AO Scourtas, DC Wilbur US Patent 11,681,418, 2023 | 5 | 2023 |
Nodular fasciitis clinically presenting as a sarcoma A Scourtas, MB Pitman, I Chebib Diagnostic Cytopathology 6 (43), 488-489, 2015 | 5 | 2015 |
Infrastructure for analysis of large microscopy and microanalysis data sets J Wei, C Francis, D Morgan, KJ Schmidt, A Scourtas, I Foster, B Blaiszik, ... Microscopy and Microanalysis 28 (S1), 3094-3096, 2022 | 4 | 2022 |
Virtual slide stage (VSS) method for viewing whole slide images EW Wirch, DC Wilbur, IIRY Wingard, MR Tomer, KC Dorosh, JM Gaines, ... US Patent 11,231,575, 2022 | 4 | 2022 |
Inspissated cyst fluid in endoscopic ultrasound‐guided fine needle aspiration of pancreatic cysts I Chebib, E Albanese, A Scourtas, MB Pitman Diagnostic Cytopathology 46 (5), 395-399, 2018 | 2 | 2018 |
Foundry-ML-Software and Services to Simplify Access to Machine Learning Datasets in Materials Science K Schmidt, A Scourtas, L Ward, S Wangen, M Schwarting, I Darling, ... Journal of Open Source Software 9 (93), 5467, 2024 | 1 | 2024 |
Placental Pathology and Ischemic Perinatal Stroke. M Naqvi, A Scourtas, K Hanmer, I Khattaby, D Roberts REPRODUCTIVE SCIENCES 23, 325A-326A, 2016 | 1 | 2016 |
Machine Learning Materials Properties with Accurate Predictions, Uncertainty Estimates, Domain Guidance, and Persistent Online Accessibility R Jacobs, LE Schultz, A Scourtas, KJ Schmidt, O Price-Skelly, W Engler, ... arXiv preprint arXiv:2406.15650, 2024 | | 2024 |
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon A Imran, M Schwarting, KM Jablonka, Q Ai, A Al-Feghali, S Badhwar, ... RSC, 2023 | | 2023 |
Using Spatial–Temporal Deep Learning Models for Early Wildfire Smoke Detection AO Scourtas, I Perez, M Nguyen, I Altintas 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
Automated Early Detection of Wildfire Smoke Using Deep Learning with Combined Spatial-Temporal Information A Scourtas, I Perez, M Nguyen, I Altintas AGU Fall Meeting Abstracts 2020, NH007-0017, 2020 | | 2020 |
Clinicopathologic Characteristics of 136 Mucinous Cystic Neoplasms A Scourtas, J Dudley, W Brugge, A Kadayifci, M Mino-Kenudson, ... LABORATORY INVESTIGATION 95, 448A-449A, 2015 | | 2015 |