| A Multi-Organ Nucleus Segmentation Challenge N Kumar, R Verma, D Anand, Y Zhou, OF Onder, E Tsougenis, H Chen, ... Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Anibal Pedraza, Maria …, 2020 | 403 | 2020 |
| Learning disentangled representations in the imaging domain X Liu, P Sanchez, S Thermos, AQ O’Neil, SA Tsaftaris Medical Image Analysis 80, 102516, 2022 | 78 | 2022 |
| Causal machine learning for healthcare and precision medicine P Sanchez, JP Voisey, T Xia, HI Watson, AQ O’Neil, SA Tsaftaris Royal Society Open Science 9 (8), 220638, 2022 | 70 | 2022 |
| What is healthy? generative counterfactual diffusion for lesion localization P Sanchez, A Kascenas, X Liu, AQ O’Neil, SA Tsaftaris MICCAI Workshop on Deep Generative Models, 34-44, 2022 | 52 | 2022 |
| Denoising autoencoders for unsupervised anomaly detection in brain MRI A Kascenas, N Pugeault, AQ O’Neil International Conference on Medical Imaging with Deep Learning, 653-664, 2022 | 50 | 2022 |
| Semi-supervised meta-learning with disentanglement for domain-generalised medical image segmentation X Liu, S Thermos, A O’Neil, SA Tsaftaris Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 49 | 2021 |
| Survey: Leakage and privacy at inference time M Jegorova, C Kaul, C Mayor, AQ O'Neil, A Weir, R Murray-Smith, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 9090-9108, 2022 | 45 | 2022 |
| 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 |
| Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data AQ O'Neil, A Kascenas, J Henry, D Wyeth, M Shepherd, E Beveridge, ... Proceedings of the European conference on computer vision (ECCV) Workshops, 0-0, 2018 | 39 | 2018 |
| 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 |
| Mood 2020: A public benchmark for out-of-distribution detection and localization on medical images D Zimmerer, PM Full, F Isensee, P Jäger, T Adler, J Petersen, G Köhler, ... IEEE Transactions on Medical Imaging 41 (10), 2728-2738, 2022 | 32 | 2022 |
| Objective evaluation of the correction by non-rigid registration of abdominal organ motion in low-dose 4D dynamic contrast-enhanced CT J Piper, Y Ikeda, Y Fujisawa, Y Ohno, T Yoshikawa, A O’Neil, I Poole Physics in Medicine & Biology 57 (6), 1701, 2012 | 31 | 2012 |
| Diffusion models for causal discovery via topological ordering P Sanchez, X Liu, AQ O'Neil, SA Tsaftaris arXiv preprint arXiv:2210.06201, 2022 | 30 | 2022 |
| 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 |
| Crowdsourcing labels for pathological patterns in CT lung scans: can non-experts contribute expert-quality ground truth? AQ O’Neil, JT Murchison, EJR van Beek, KA Goatman Intravascular Imaging and Computer Assisted Stenting, and Large-Scale …, 2017 | 26 | 2017 |
| Disentangled representations for domain-generalized cardiac segmentation X Liu, S Thermos, A Chartsias, A O’Neil, SA Tsaftaris Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 19 | 2021 |
| The role of noise in denoising models for anomaly detection in medical images A Kascenas, P Sanchez, P Schrempf, C Wang, W Clackett, SS Mikhael, ... Medical Image Analysis 90, 102963, 2023 | 17 | 2023 |
| Indication as prior knowledge for multimodal disease classification in chest radiographs with transformers G Jacenków, AQ O’Neil, SA Tsaftaris 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 17 | 2022 |
| A comparison of texture features versus deep learning for image classification in interstitial lung disease A O’Neil, M Shepherd, E Beveridge, K Goatman Medical Image Understanding and Analysis: 21st Annual Conference, MIUA 2017 …, 2017 | 16 | 2017 |
| Measuring the biases and effectiveness of content-style disentanglement X Liu, S Thermos, G Valvano, A Chartsias, A O'Neil, SA Tsaftaris arXiv preprint arXiv:2008.12378, 2020 | 15 | 2020 |
Sotirios TsaftarisChair in Machine Learning and Computer Vision, The University of Edinburgh在 ed.ac.uk 的电子邮件经过验证
