424 citations
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Showing 2021Show all
3 papers · 1 filter
cs.CV2021
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks
Raghavendra Selvan, Erik B Dam, Søren Alexander Flensborg +1
Tensor networks are efficient factorisations of high-dimensional tensors into a network of lower-order tensors. They have been most commonly used to model entanglement in quantum m…
cs.CV2021
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
Abraham George Smith, Jens Petersen, Cynthia Terrones-Campos +5
Organ-at-risk contouring is still a bottleneck in radiotherapy, with many deep learning methods falling short of promised results when evaluated on clinical data. We investigate th…
cs.CV2021★ 5 cited
Segmenting two-dimensional structures with strided tensor networks
Raghavendra Selvan, Erik B Dam, Jens Petersen
Tensor networks provide an efficient approximation of operations involving high dimensional tensors and have been extensively used in modelling quantum many-body systems. More rece…