REV1 restrains DNA polymerase ζ to ensure frame fidelity during translesion synthesis of UV photoproducts in vivo D Szüts, AP Marcus, M Himoto, S Iwai, JE Sale Nucleic Acids Research 36 (21), 6767-6780, 2008 | 81 | 2008 |
Regulatory approval of new medical devices: cross sectional study HJ Marcus, CJ Payne, A Hughes-Hallett, AP Marcus, GZ Yang, A Darzi, ... BMJ 353, 2016 | 66 | 2016 |
Comparative effectiveness and safety of image guidance systems in neurosurgery: a preclinical randomized study HJ Marcus, P Pratt, A Hughes-Hallett, TP Cundy, AP Marcus, GZ Yang, ... Journal of neurosurgery 123 (2), 307-313, 2015 | 42 | 2015 |
Improved prediction of surgical resectability in patients with glioblastoma using an artificial neural network AP Marcus, HJ Marcus, SJ Camp, D Nandi, N Kitchen, L Thorne Scientific Reports 10 (1), 5143, 2020 | 20 | 2020 |
Comparative effectiveness and safety of image guidance systems in surgery: a preclinical randomised study HJ Marcus, P Pratt, A Hughes-Hallett, TP Cundy, AP Marcus, GZ Yang, ... The Lancet 385, S64, 2015 | 17 | 2015 |
Analysis of CPD ultraviolet lesion bypass in chicken DT40 cells: polymerase η and PCNA ubiquitylation play identical roles Á Varga, AP Marcus, M Himoto, S Iwai, D Szüts PloS one 7 (12), e52472, 2012 | 16 | 2012 |
Spontaneous pregnancies following discontinuation of IVF/ICSI treatment: an internet-based survey AP Marcus, DM Marcus, S Ayis, A Johnson, SF Marcus Human Fertility 19 (2), 134-141, 2016 | 15 | 2016 |
Infertility treatment: When is it time to give up? An internet-based survey D Marcus, A Marcus, A Johnson, S Marcus Human Fertility 14 (1), 29-34, 2011 | 15 | 2011 |
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network A Marcus, P Bentley, D Rueckert IEEE Transactions on Medical Imaging, 2023 | 6 | 2023 |
Improved prediction of postoperative pediatric cerebellar mutism syndrome using an artificial neural network J Sidpra, AP Marcus, U Löbel, SM Toescu, D Yecies, G Grant, K Yeom, ... Neuro-Oncology Advances 4 (1), vdac003, 2022 | 2 | 2022 |
Interpreting head computed tomography scans A Marcus, H Marcus, R Kirollos BMJ 346, 2013 | 2 | 2013 |
Stroke outcome and evolution prediction from CT brain using a spatiotemporal diffusion autoencoder A Marcus, P Bentley, D Rueckert MICCAI MLCN Workshop, 2023 | | 2023 |
Novel biomarker for assessing biological age of ischemic stroke lesion on unenhanced CT A Marcus, L Chen, D Rueckert, P Bentley ESOC, 2023 | | 2023 |
Automated prediction of ischemic lesion age from unenhanced CT: a validation study A Marcus, L Chen, C Ghezzou Cuervas-Mons, C Hallett, D Rueckert, ... ESOC, 2022 | | 2022 |
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network A Marcus, P Bentley, D Rueckert MICCAI MLCN Workshop, 52--62, 2022 | | 2022 |
Do delays to surgery influence survival in endometrial cancer? D Marcus, G Yongue, Y Shen, A Marcus, J Yazbek, S Ghaem-Maghami RCOG World Congress 128, 69-69, 2021 | | 2021 |
Automated age estimation of ischaemic lesions from unenhanced CT A Marcus, L Chen, C Ghezzou Cuervas-Mons, C Hallett, D Rueckert, ... ESOC, 2021 | | 2021 |
Improved cerebral microbleed detection in magnetic resonance images using a multi-scale 3D convolutional neural network A Marcus, A Dawson, C McNamara, D Rueckert, P Bentley ESOC, 2021 | | 2021 |
Identifying and Characterising Response in Clinical Trials: Development and Validation of a Machine Learning Approach in Colorectal Cancer A Marcus, P Agapow NeurIPS NewInML Workshop, 2020 | | 2020 |
Improved prediction of surgical resectability in patients with glioblastoma multiforme using an artificial neural network A Marcus, HJ Marcus, SJ Camp, D Nandi, N Kitchen, L Thorne SBNS/ABN 90 (3), e9, 2019 | | 2019 |