Imperial College London / The Imperial College of Science, Technology and Medicine
University / College
Location:
London,
United Kingdom (GB)
ISNI: 0000000121138111
ROR: https://ror.org/041kmwe10
Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time (2022)
Matthew J, Skelton E, Day TG, Zimmer VA, Gomez A, Wheeler G, Toussaint N, et al.
Journal article
Correction: Characteristics of people with epilepsy in three Eastern African countries - a pooled analysis. (2022)
Stelzle D, Kaducu J, Schmidt V, Welte TM, Ngowi BJ, Matuja W, Escheu G, et al.
Journal article, Erratum
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints (2022)
Li L, Ma Q, Li Z, Ouyang C, Zhang W, Price A, Kyriakopoulou V, et al.
Conference contribution
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization (2022)
Schlüter HM, Tan J, Hou B, Kainz B
Conference contribution
Impact of walking speed and motion adaptation on optokinetic nystagmus-like head movements in the blowfly Calliphora. (2022)
Longden KD, Schuetzenberger A, Hardcastle BJ, Krapp HG
Journal article
A variational Bayesian method for similarity learning in non-rigid image registration (2022)
Grzech D, Azampour MF, Glocker B, Schnabel J, Navab N, Kainz B, Folgoc LL
Conference contribution
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods (2022)
Baugh M, Tan J, Vlontzos A, Müller J, Kainz B
Conference contribution
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation (2022)
Ouyang C, Wang S, Chen C, Li Z, Bai W, Kainz B, Rueckert D
Conference contribution
Adnexal Mass Segmentation with Ultrasound Data Synthesis (2022)
Lebbos C, Barcroft J, Tan J, Müller J, Baugh M, Vlontzos A, Saso S, Kainz B
Conference contribution
D’ARTAGNAN: Counterfactual Video Generation (2022)
Reynaud H, Vlontzos A, Dombrowski M, Gilligan Lee C, Beqiri A, Leeson P, Kainz B
Conference contribution