| Domain-robust vqa with diverse datasets and methods but no target labels M Zhang, T Maidment, A Diab, A Kovashka, R Hwa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 21 | 2021 |
| Comparing the imaging performance of computed super resolution and magnification tomosynthesis TD Maidment, TL Vent, WS Ferris, DE Wurtele, RJ Acciavatti, ... Medical Imaging 2017: Physics of Medical Imaging 10132, 508-517, 2017 | 17 | 2017 |
| Geometric calibration for a next-generation digital breast tomosynthesis system WS Ferris, TL Vent, TD Maidment, RJ Acciavatti, DE Wurtele, ... Medical Imaging 2017: Physics of Medical Imaging 10132, 1117-1126, 2017 | 13 | 2017 |
| Modeling non-cooperative dialogue: Theoretical and empirical insights A Sicilia, T Maidment, P Healy, M Alikhani Transactions of the Association for Computational Linguistics 10, 1084-1102, 2022 | 5 | 2022 |
| Construction of a Prototype Digital Breast Tomosynthesis System with Superior Spatial Resolution ADA Maidment, RJ Acciavatti, TL Vent, EF Conant, YJ Kwon, S NG, J Kuo, ... RSNA Phys. Basic Sci., RSNA, 2016 | 5 | 2016 |
| Automated multi-class segmentation of digital mammograms with deep convolutional neural networks V Dong, TD Maidment, LR Borges, K Hopkins, J Kuo, A Milani, PA Ringer, ... 16th International Workshop on Breast Imaging (IWBI2022) 12286, 146-152, 2022 | 1 | 2022 |
| Building a reinforcement learning environment from limited data to optimize teachable robot interventions. T Maidment, M Yu, NG Lobczowski, A Kovashka, E Walker, D Litman, ... Proceedings of the 15th International Conference on Educational Data Mining, 2022 | 1 | 2022 |
| Specialized computer-aided diagnosis and disease characterization with a multi-focal ensemble of convolutional neural networks A Madabhushi, N Braman, T Maidment, Y Chen US Patent 11,817,204, 2023 | | 2023 |
| Automated multi-class segmentation of digital mammogram S Ng, VY Dong, TD Maidment, LR Borges, KM Hopkins, J Kuo, A Milani, ... US Patent App. 18/062,712, 2023 | | 2023 |
| Assessment of patch-based mammogram denoising methods using virtual clinical trials and deep learning: trade-off between denoising strength and preservation of structural details V Dong, TD Maidment, LR Borges, B Barufaldi, S Ng, ADA Maidment Medical Imaging 2022: Physics of Medical Imaging 12031, 480-489, 2022 | | 2022 |
| Machine learning classifier of medical specimen images TD Maidment, S Ng 15th International Workshop on Breast Imaging (IWBI2020) 11513, 200-206, 2020 | | 2020 |
| Abstract PD9-03: A combination of intra-and peri-lesional deep learning classifiers from multiple views enables accurate diagnosis of architectural distortion malignancy with … T Maidment, N Braman, Y Chen, F Mehrkhani, U Yankevich, D Plecha, ... Cancer Research 80 (4_Supplement), PD9-03-PD9-03, 2020 | | 2020 |
| A combination of intra-and peri-lesional deep learning classifiers from multiple views enables accurate diagnosis of architectural distortion malignancy with digital breast … T Maidment, N Braman, Y Chen, F Mehrkhani, U Yankevich, D Plecha, ... CANCER RESEARCH 80 (4), 2020 | | 2020 |
| Recurrent Transfer Learning for Classification of Architectural Distortions in Breast Tomosynthesis TD Maidment Case Western Reserve University, 2020 | | 2020 |
| Capturing Student-Robot Interactions for a Data-Driven Educational Dialogue RL Environment T Maidment, M Yu, E Walker, A Kovashka, D Litman, T Nokes-Malach | | |
