| Classification method and apparatus I Poole, A Lisowska, E Beveridge, R Wang US Patent 10,163,040, 2018 | 97 | 2018 |
| An experimental assessment of five indices of retinal vessel tortuosity with the RET-TORT public dataset A Lisowska, R Annunziata, GK Loh, D Karl, E Trucco 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 46 | 2014 |
| Context-aware convolutional neural networks for stroke sign detection in non-contrast CT scans A Lisowska, A O’Neil, V Dilys, M Daykin, E Beveridge, K Muir, ... Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 45 | 2017 |
| Thrombus Detection in CT Brain Scans using a Convolutional Neural Network A Lisowska, E Beveridge, K Muir, I Poole 10th International Joint Conference on Biomedical Engineering Systems and …, 2017 | 41 | 2017 |
| Teacher-student chain for efficient semi-supervised histology image classification S Shaw, M Pajak, A Lisowska, SA Tsaftaris, AQ O'Neil arXiv preprint arXiv:2003.08797, 2020 | 33 | 2020 |
| Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text M Falis, M Pajak, A Lisowska, P Schrempf, L Deckers, S Mikhael, ... Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019 | 28 | 2019 |
| Deep learning fetal ultrasound video model match human observers in biometric measurements S Płotka, A Klasa, A Lisowska, J Seliga-Siwecka, M Lipa, T Trzciński, ... Physics in Medicine & Biology 67 (4), 045013, 2022 | 25 | 2022 |
| An evaluation of supervised, novelty-based and hybrid approaches to fall detection using silmee accelerometer data A Lisowska, G Wheeler, V Ceballos Inza, I Poole Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 25 | 2015 |
| Catching patient’s attention at the right time to help them undergo behavioural change: Stress classification experiment from Blood Volume Pulse A Lisowska, S Wilk, M Peleg Artificial Intelligence in Medicine, 72-82, 2021 | 18 | 2021 |
| From Personalized Timely Notification to Healthy Habit Formation: a Feasibility Study of Reinforcement Learning Approaches on Synthetic Data. A Lisowska, S Wilk, M Peleg SMARTERCARE@ AI* IA, 7-18, 2021 | 16 | 2021 |
| Cross-cohort Evaluation of Machine Learning Approaches to Fall Detection from Accelerometer Data A Lisowska, A O'Neil, I Poole 11th International Joint Conference on Biomedical Engineering Systems and …, 2018 | 11 | 2018 |
| Is it a good time to survey you? Cognitive load classification from blood volume pulse A Lisowska, S Wilk, M Peleg 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 10 | 2021 |
| Continual class incremental learning for ct thoracic segmentation A Elskhawy, A Lisowska, M Keicher, J Henry, P Thomson, N Navab Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 10 | 2020 |
| FetReg2021: A challenge on placental vessel segmentation and registration in fetoscopy S Bano, F Vasconcelos, D Stoyanov Medical Image Analysis, 2022 | 9* | 2022 |
| SATO (IDEAS expAnded wiTh BCIO): Workflow for designers of patient-centered mobile health behaviour change intervention applications A Lisowska, S Wilk, M Peleg Journal of Biomedical Informatics 138, 104276, 2023 | 8 | 2023 |
| Paying per-label attention for multi-label extraction from radiology reports P Schrempf, H Watson, S Mikhael, M Pajak, M Falis, A Lisowska, KW Muir, ... Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020 | 8 | 2020 |
| CXR-FL: deep learning-based Chest X-ray image analysis using federated learning F Ślazyk, P Jabłecki, A Lisowska, M Malawski, S Płotka International Conference on Computational Science, 433-440, 2022 | 6 | 2022 |
| Personality and habit formation: Is there a link? A Lisowska, S Lavy, S Wilk, M Peleg SMARTERCARE@ AI* IA, 42-47, 2021 | 6 | 2021 |
| How to Improve Digital Wellbeing Interventions? Preliminary Study of Factors Affecting Intervention Engagement, Impact, and Habit Formation A Lisowska, S Lavy, S Wilk, M Peleg AMIA Annual Symposium Proceedings, 2022 | 5 | 2022 |
| Comparison of active learning strategies applied to lung nodule segmentation in CT scans D Zotova, A Lisowska, O Anderson, V Dilys, A O’Neil International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019 …, 2019 | 5 | 2019 |
Alison Q. O'NeilCanon Medical Research Europe / University of Edinburgh在 mre.medical.canon 的电子邮件经过验证
