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Martin Fergie
Martin Fergie
Verified email at manchester.ac.uk
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Year
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
712020
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
412019
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
392020
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
212022
Mixtures of Gaussian process models for human pose estimation
M Fergie, A Galata
Image and Vision Computing 31 (12), 949-957, 2013
132013
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
102023
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
82022
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
82021
Reporting quality of studies using machine learning models for medical diagnosis: a systematic review. BMJ Open 10: e034568
M Yusuf, I Atal, J Li, P Smith, P Ravaud, M Fergie, M Callaghan, J Selfe
72020
Local Gaussian Processes for Pose Recognition from Noisy Inputs.
M Fergie, A Galata
BMVC, 1-11, 2010
62010
Dynamical Pose Filtering for Mixtures of Gaussian Processes.
M Fergie, A Galata
BMVC, 1-12, 2012
52012
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
42018
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
32018
Discriminative Pose Estimation Using Mixtures of Gaussian Processes
M Fergie
PQDT-UK & Ireland, 2013
32013
Artificial intelligence for image-based breast cancer risk prediction using attention
S Romanov, S Howell, E Harkness, M Bydder, DG Evans, S Squires, ...
Tomography 9 (6), 2103-2115, 2023
22023
A deep learning approach for Meibomian gland appearance evaluation
K Swiderska, CA Blackie, C Maldonado-Codina, PB Morgan, ML Read, ...
Ophthalmology Science 3 (4), 100334, 2023
12023
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, ...
12022
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
12019
Evaluation of Meibomian gland structure and appearance after therapeutic Meibomian gland expression
K Swiderska, CA Blackie, C Maldonado-Codina, M Fergie, ML Read, ...
Clinical and Experimental Optometry, 1-11, 2023
2023
Lymphoma triage from H&E using AI for improved clinical management
AM Tsakiroglou, CM Bacon, D Shingleton, G Slavin, P Vogiatzis, R Byers, ...
Journal of Clinical Pathology, 2023
2023
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Articles 1–20