Publications
Limited One-time Sampling Irregularity Map {(LOTS-IM)} for AutomaticUnsupervised Assessment of White Matter Hyperintensities and MultipleSclerosis Lesions in Structural Brain Magnetic Resonance Images
Muhammad Febrian Rachmadi andMaria del C. Vald'es Hern'andez andHongwei Li andRicardo Guerrero andRozanna Meijboom andStewart Wiseman andAdam Waldman andJianguo Zhang andDaniel Rueckert andJoanna M. Wardlaw andTaku Komura , Comput. Medical Imaging Graph., volume 79, pp.101685, 2020
Unpaired Multi-modal Segmentation via Knowledge Distillation
Qi Dou andQuande Liu andPheng-Ann Heng andBen Glocker , CoRR, volume abs/2001.03111, 2020
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert andJulia A. Schnabel , Proceedings of the IEEE, volume 108, pp.110–124, 2020
Learning Cross-domain Generalizable Features by Representation Disentanglement
Qingjie Meng andDaniel Rueckert andBernhard Kainz , CoRR, volume abs/2003.00321, 2020
Confident Head Circumference Measurement from Ultrasound with Real-timeFeedback for Sonographers
Samuel Budd andMatthew Sinclair andBishesh Khanal andJacqueline Matthew andDavid Lloyd andAlberto G'omez andNicolas Toussaint andEmma C. Robinson andBernhard Kainz , CoRR, volume abs/1908.02582, 2019
Joint analysis of clinical risk factors and 4D cardiac motion forsurvival prediction using a hybrid deep learning network
Shihao Jin andNicol'o Savioli andAntonio de Marvao andTimothy J. W. Dawes andAxel Gandy andDaniel Rueckert andDeclan P. O'Regan , CoRR, volume abs/1910.02951, 2019
Self-Supervised Learning for Cardiac {MR} Image Segmentation by AnatomicalPosition Prediction
Wenjia Bai andChen Chen andGiacomo Tarroni andJinming Duan andFlorian Guitton andSteffen E. Petersen andYike Guo andPaul M. Matthews andDaniel Rueckert , Medical Image Computing and Computer Assisted Intervention - MICCAI2019 - 22nd International Conference, Shenzhen, China, October 13-17,2019, Proceedings, Part II, volume 11765, pp.541–549, 2019
Unsupervised Lesion Detection with Locally Gaussian Approximation
Xiaoran Chen andNick Pawlowski andBen Glocker andEnder Konukoglu , Machine Learning in Medical Imaging - 10th International Workshop,MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China,October 13, 2019, Proceedings, volume 11861, pp.355–363, 2019
Nonuniform Variational Network: Deep Learning for Accelerated Nonuniform{MR} Image Reconstruction
Jo Schlemper andSeyed Sadegh Mohseni Salehi andPrantik Kundu andCarole Lazarus andHadrien Dyvorne andDaniel Rueckert andMichal Sofka , Medical Image Computing and Computer Assisted Intervention - MICCAI2019 - 22nd International Conference, Shenzhen, China, October 13-17,2019, Proceedings, Part III, volume 11766, pp.57–64, 2019
Transfer Learning from Partial Annotations for Whole Brain Segmentation
Chengliang Dai andYuanhan Mo andElsa D. Angelini andYike Guo andWenjia Bai , CoRR, volume abs/1908.10851, 2019