| Reporting quality of studies using machine learning models for medical diagnosis: a systematic review M Yusuf, I Atal, J Li, P Smith, P Ravaud, M Fergie, M Callaghan, J Selfe BMJ open 10 (3), e034568, 2020 | 52 | 2020 |
| Prediction of reader estimates of mammographic density using convolutional neural networks GV Ionescu, M Fergie, M Berks, EF Harkness, J Hulleman, AR Brentnall, ... Journal of Medical Imaging 6 (3), 031405-031405, 2019 | 36 | 2019 |
| Spatial proximity between T and PD-L1 expressing cells as a prognostic biomarker for oropharyngeal squamous cell carcinoma AM Tsakiroglou, M Fergie, K Oguejiofor, K Linton, D Thomson, PL Stern, ... British Journal of Cancer 122 (4), 539-544, 2020 | 30 | 2020 |
| Mixtures of Gaussian process models for human pose estimation M Fergie, A Galata Image and Vision Computing 31 (12), 949-957, 2013 | 13 | 2013 |
| The impact of obesity and bariatric surgery on the immune microenvironment of the endometrium A Naqvi, ML MacKintosh, AE Derbyshire, AM Tsakiroglou, TDJ Walker, ... International Journal of Obesity 46 (3), 605-612, 2022 | 9 | 2022 |
| Immune infiltrate diversity confers a good prognosis in follicular lymphoma AM Tsakiroglou, S Astley, M Dave, M Fergie, E Harkness, A Rosenberg, ... Cancer Immunology, Immunotherapy 70 (12), 3573-3585, 2021 | 6 | 2021 |
| Dynamical Pose Filtering for Mixtures of Gaussian Processes. M Fergie, A Galata BMVC, 1-12, 2012 | 6 | 2012 |
| Local Gaussian Processes for Pose Recognition from Noisy Inputs. M Fergie, A Galata BMVC, 1-11, 2010 | 6 | 2010 |
| Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment GV Ionescu, M Fergie, M Berks, EF Harkness, J Hulleman, AR Brentnall, ... 14th International Workshop on Breast Imaging (IWBI 2018) 10718, 79-88, 2018 | 4 | 2018 |
| Spatial and molecular profiling of the mononuclear phagocyte network in classic Hodgkin lymphoma BJ Stewart, M Fergie, MD Young, C Jones, A Sachdeva, A Blain, ... Blood, The Journal of the American Society of Hematology 141 (19), 2343-2358, 2023 | 3 | 2023 |
| Quantifying cell-type interactions and their spatial patterns as prognostic biomarkers in follicular lymphoma AM Tsakiroglou, S Fitzpatrick, L Nelson, C West, K Linton, K Zeng, ... Medical Imaging 2018: Digital Pathology 10581, 123-133, 2018 | 3 | 2018 |
| Discriminative Pose Estimation Using Mixtures of Gaussian Processes M Fergie PQDT-UK & Ireland, 2013 | 3 | 2013 |
| Preoperative Virtual Reality Surgical Rehearsal of Renal Access during Percutaneous Nephrolithotomy: A Pilot Study B Sainsbury, O Wilz, J Ren, M Green, M Fergie, C Rossa Electronics 11 (10), 1562, 2022 | 2 | 2022 |
| Automated Multi-plex Immunofluorescence with TSA for CD4, CD8, FOXP3, CD21, PD1 and CD68 in Follicular Lymphoma AM Tsakiroglou, C West, S Astley, K Linton, M Fergie, R Byers | 1 | 2019 |
| A deep learning approach for Meibomian gland appearance evaluation K Swiderska, CA Blackie, C Maldonado-Codina, PB Morgan, ML Read, ... Ophthalmology Science, 100334, 2023 | | 2023 |
| A transformer-based computational approach for H and E to multiplexed immunohistochemistry stain translation C Bian, T Cootes, M Fergie Medical Imaging 2023: Digital and Computational Pathology 12471, 42-52, 2023 | | 2023 |
| Artificial intelligence for image-based breast cancer risk prediction using attention S Romanov, S Howell, E Harkness, M Bydder, G Evans, S Squires, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 532-542, 2023 | | 2023 |
| Development of Artefact-Free Imaging System for Accurate Meibomian Gland Reflectivity Assessment K Swiderska, CA Blackie, C Maldonado-Codina, M Fergie, PB Morgan, ... Translational vision science & technology 12 (2), 9-9, 2023 | | 2023 |
| Spatial and molecular profiling reveals an immunosuppressive mononuclear phagocyte network in Classic Hodgkin lymphoma B Stewart, M Fergie, M Young, C Jones, A Sachdeva, A Blain, C Bacon, ... | | 2022 |
| Spatial and molecular profiling of the classic Hodgkin lymphoma microenvironment reveals an immunosuppressive mononuclear phagocyte network B Stewart, M Fergie, M Young, C Jones, A Sachdeva, A Blain, C Bacon, ... | | 2022 |
