107 citations · 134 across the 14 of their papers we have counts for
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cs.CV2019
Semi-supervised Learning of Fetal Anatomy from Ultrasound
Jeremy Tan, Anselm Au, Qingjie Meng +1
Semi-supervised learning methods have achieved excellent performance on standard benchmark datasets using very few labelled images. Anatomy classification in fetal 2D ultrasound is…
cs.LG2019★ 3 cited
Representation Disentanglement for Multi-task Learning with application to Fetal Ultrasound
Qingjie Meng, Nick Pawlowski, Daniel Rueckert +1
One of the biggest challenges for deep learning algorithms in medical image analysis is the indiscriminate mixing of image properties, e.g. artifacts and anatomy. These entangled i…