| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 140 | 2022 |
| Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review R Frood, C Burton, C Tsoumpas, AF Frangi, F Gleeson, C Patel, ... European journal of nuclear medicine and molecular imaging 48, 3198-3220, 2021 | 57 | 2021 |
| Prediction of outcome in anal squamous cell carcinoma using radiomic feature analysis of pre-treatment FDG PET-CT PJ Brown, J Zhong, R Frood, S Currie, A Gilbert, AL Appelt, ... European journal of nuclear medicine and molecular imaging 46, 2790-2799, 2019 | 46 | 2019 |
| Respiratory-gated PET/CT for pulmonary lesion characterisation—promises and problems R Frood, G McDermott, A Scarsbrook The British journal of radiology 91 (1086), 20170640, 2018 | 38 | 2018 |
| Machine learning-based FDG PET-CT radiomics for outcome prediction in larynx and hypopharynx squamous cell carcinoma J Zhong, R Frood, P Brown, H Nelstrop, R Prestwich, G McDermott, ... Clinical Radiology 76 (1), 78. e9-78. e17, 2021 | 30 | 2021 |
| 18F-FDG PET-CT in paediatric oncology: established and emerging applications G Chambers, R Frood, C Patel, A Scarsbrook The British Journal of Radiology 92 (1094), 20180584, 2019 | 30 | 2019 |
| The use of treadmill training to recover locomotor ability in patients with spinal cord injury RT Frood Bioscience Horizons 4 (1), 108-117, 2011 | 26 | 2011 |
| Effectiveness of Respiratory-gated positron emission tomography/computed tomography for radiotherapy planning in patients with lung carcinoma–a systematic review R Frood, R Prestwich, C Tsoumpas, P Murray, K Franks, A Scarsbrook Clinical Oncology 30 (4), 225-232, 2018 | 24 | 2018 |
| Can MR textural analysis improve the prediction of extracapsular nodal spread in patients with oral cavity cancer? R Frood, E Palkhi, M Barnfield, R Prestwich, S Vaidyanathan, ... European Radiology 28, 5010-5018, 2018 | 19 | 2018 |
| Bronchial artery embolisation for massive haemoptysis: immediate and long-term outcomes—a retrospective study R Frood, S Karthik, S Mirsadraee, I Clifton, K Flood, SJ McPherson Pulmonary Therapy 6, 107-117, 2020 | 16 | 2020 |
| Utility of pre-treatment FDG PET/CT–derived machine learning models for outcome prediction in classical Hodgkin lymphoma R Frood, M Clark, C Burton, C Tsoumpas, AF Frangi, F Gleeson, C Patel, ... European Radiology 32 (10), 7237-7247, 2022 | 13 | 2022 |
| Evaluation of locoregional recurrence patterns following adjuvant (chemo) radiotherapy for oral cavity carcinoma R Waldram, AE Taylor, S Whittam, Z Iyizoba-Ebozue, L Murray, R Frood, ... Clinical Oncology 32 (4), 228-237, 2020 | 13 | 2020 |
| Discovery of pre-treatment FDG PET/CT-derived radiomics-based models for predicting outcome in diffuse large B-cell lymphoma R Frood, M Clark, C Burton, C Tsoumpas, AF Frangi, F Gleeson, C Patel, ... Cancers 14 (7), 1711, 2022 | 12 | 2022 |
| A methodological framework for AI-assisted diagnosis of active aortitis using radiomic analysis of FDG PET–CT images: Initial analysis L Duff, AF Scarsbrook, SL Mackie, R Frood, M Bailey, AW Morgan, ... Journal of Nuclear Cardiology 29 (6), 3315-3331, 2022 | 10 | 2022 |
| Harmonisation of scanner-dependent contrast variations in magnetic resonance imaging for radiation oncology, using style-blind auto-encoders K Fatania, A Clark, R Frood, A Scarsbrook, B Al-Qaisieh, S Currie, M Nix Physics and Imaging in Radiation Oncology 22, 115-122, 2022 | 9 | 2022 |
| An automated method for artifical intelligence assisted diagnosis of active aortitis using radiomic analysis of FDG PET-CT images LM Duff, AF Scarsbrook, N Ravikumar, R Frood, GD van Praagh, ... Biomolecules 13 (2), 343, 2023 | 8 | 2023 |
| British Society of Interventional Radiology Iliac Angioplasty and Stent Registry: fourth report on an additional 8,294 procedures C Miller, R Frood, TC See, CJ Hammond Clinical Radiology 74 (6), 429-434, 2019 | 5 | 2019 |
| Author Correction: Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... nature communications 14 (1), 436, 2023 | 3 | 2023 |
| Diagnostic performance of a streamlined 18F-choline PET-CT protocol for the detection of prostate carcinoma recurrence in combination with appropriate-use criteria R Frood, J Baren, G McDermott, D Bottomley, C Patel, A Scarsbrook Clinical Radiology 73 (7), 632-639, 2018 | 3 | 2018 |
| Impact of training dataset size on technical performance of a deep learning model for detection and quantification of lymphomatous disease on 18F-FDG PET/CT G Ionescu, R Frood, A Scarsbrook, J Willaime Journal of Nuclear Medicine 64 (supplement 1), P1069-P1069, 2023 | 2 | 2023 |
