| A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease M Inglese, N Patel, K Linton-Reid, F Loreto, Z Win, RJ Perry, C Carswell, ... Communications medicine 2 (1), 70, 2022 | 21 | 2022 |
| A comparison of machine learning methods for predicting recurrence and death after curative-intent radiotherapy for non-small cell lung cancer: development and validation of … S Hindocha, TG Charlton, K Linton-Reid, B Hunter, C Chan, M Ahmed, ... EBioMedicine 77, 2022 | 20 | 2022 |
| A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules B Hunter, M Chen, P Ratnakumar, E Alemu, A Logan, K Linton-Reid, ... EBioMedicine 86, 2022 | 18 | 2022 |
| Development of a multi-task learning V-Net for pulmonary lobar segmentation on CT and application to diseased lungs MM Boubnovski, M Chen, K Linton-Reid, JM Posma, SJ Copley, ... Clinical Radiology 77 (8), e620-e627, 2022 | 9* | 2022 |
| Introduction: an overview of AI in oncology drug discovery and development K Linton-Reid Artificial intelligence in oncology drug discovery and development, 2020 | 9 | 2020 |
| Tumor and local lymphoid tissue interaction determines prognosis in high-grade serous ovarian cancer H Lu, H Lou, G Wengert, R Paudel, N Patel, S Desai, B Crum, ... Cell Reports Medicine 4 (7), 2023 | 8 | 2023 |
| Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC S Hindocha, TG Charlton, K Linton-Reid, B Hunter, C Chan, M Ahmed, ... NPJ Precision Oncology 6 (1), 77, 2022 | 7 | 2022 |
| Artificial Intelligence in Oncology Drug Discovery and Development JW Cassidy, B Taylor IntechOpen, 2020 | 6 | 2020 |
| Magnetic resonance imaging (MRI) and clinical features of Mayer-Rokitansky-Küster–Hauser (MRKH) syndrome: a 10-year review from a dedicated specialist centre N Cooper, M Al-memar, K Linton-Reid, K Edmonds, G Rose, N Dixon, ... Authorea Preprints, 2023 | 1 | 2023 |
| Enhanced cancer subtyping via pan-transcriptomics data fusion, Monte-Carlo consensus clustering, and auto classifier creation K Linton-Reid, H Clifford, JS Thompson Proceedings of the Tenth International Conference on Computational Systems …, 2019 | 1 | 2019 |
| Validated machine learning tools to distinguish immune checkpoint inhibitor, radiotherapy, COVID-19 and other infective pneumonitis S Hindocha, B Hunter, K Linton-Reid, TG Charlton, M Chen, A Logan, ... Radiotherapy and Oncology 195, 110266, 2024 | | 2024 |
| Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound JF Barcroft, K Linton-Reid, C Landolfo, M Al-Memar, N Parker, C Kyriacou, ... NPJ Precision Oncology 8 (1), 41, 2024 | | 2024 |
| Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosis B Hunter, C Argyros, M Inglese, K Linton-Reid, I Pulzato, AG Nicholson, ... British Journal of Cancer 129 (12), 1949-1955, 2023 | | 2023 |
| P75 A radiomics predictive vector for differentiating new primary lung cancer vs lung metastasis in patients presenting with prior radically treated cancer HS Kalsi, S Hindocha, B Hunter, K Linton-Reid, S Doran, T O’Kane, ... Thorax 78 (Suppl 4), A151-A152, 2023 | | 2023 |
| OP18. 01: Transabdominal and transvaginal ultrasonography assessment of the female pelvis in children, adolescents and young adults N Cooper, H Meehan, K Linton‐Reid, J Barcroft, S Murugesu, C Kyriacou, ... Ultrasound in Obstetrics & Gynecology 62, 89-90, 2023 | | 2023 |
| OC03. 08: Automated segmentation and radiomics based classification of adnexal masses on ultrasound J Barcroft, K Linton‐Reid, M Munaretto, S Lee, J Kim, L Savelli, ... Ultrasound in Obstetrics & Gynecology 62, 8-9, 2023 | | 2023 |
| OC03. 05: Ovarian masses found at ultrasonography assessment of the pelvis in children, adolescents and young adults: a review of 1,429 cases N Cooper, H Meehan, K Linton‐Reid, J Barcroft, S Murugesu, C Kyriacou, ... Ultrasound in Obstetrics & Gynecology 62, 7-8, 2023 | | 2023 |
| Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC MB Martell, K Linton-Reid, S Hindocha, M Chen, P Moreno, ... arXiv preprint arXiv:2305.15590, 2023 | | 2023 |
| End-to-End Integrative Segmentation and Radiomics Prognostic Models Improve Risk Stratification of High-Grade Serous Ovarian Cancer: A Retrospective Multi-Cohort Study LANCET DIGITAL HEALTH, K Linton-Reid, G Wengert, H Lu, ... medRxiv, 2023.04. 26.23289155, 2023 | | 2023 |
| The Use of Machine Learning Models and Radiomics for Segmentation and Classification of Adnexal Masses on Ultrasound: A Multi-Cohort Retrospective Study J Barcroft, K Linton-Reid, C Landolfo, M Al-Memar, N Parker, C Kyriacou, ... | | 2023 |
