824 citations · 1.2k across the 5 of their papers we have counts for
5 papers
Submanifold Sparse Convolutional Networks for Automated 3D Segmentation of Kidneys and Kidney Tumours in Computed Tomography
Saúl Alonso-Monsalve, Leigh H. Whitehead, Adam Aurisano +1
Accurate delineation of kidney tumours in Computed Tomography (CT) is essential for downstream quantitative analysis and precision oncology, but manual segmentation is a specialise…
Classification of datasets with imputed missing values: does imputation quality matter?
Tolou Shadbahr, Michael Roberts, Jan Stanczuk +15
Classifying samples in incomplete datasets is a common aim for machine learning practitioners, but is non-trivial. Missing data is found in most real-world datasets and these missi…
Measurement of the Inclusive NuMu Charged Current Cross Section on Carbon in the Near Detector of the T2K Experiment
T2K Collaboration, K. Abe, N. Abgrall +354
T2K has performed the first measurement of νμ inclusive charged current interactions on carbon at neutrino energies of ~1 GeV where the measurement is reported as a flux-averaged d…
First Muon-Neutrino Disappearance Study with an Off-Axis Beam
T2K Collaboration, K. Abe, N. Abgrall +443
We report a measurement of muon-neutrino disappearance in the T2K experiment. The 295-km muon-neutrino beam from Tokai to Kamioka is the first implementation of the off-axis techni…
The T2K Experiment
T2K Collaboration, K. Abe, N. Abgrall +520
The T2K experiment is a long-baseline neutrino oscillation experiment. Its main goal is to measure the last unknown lepton sector mixing angle θ_{13} by observing ν_e appearance in…