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Medical Image Analysis|April 26, 2021
A survey on active learning and human-in-the-loop deep learning for medical image analysisSamuel Budd, Emma C Robinson, Bernhard Kainz
IEEE Transactions on Medical Imaging|September 12, 2022
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEsQiang Ma, Liu Li, Emma C Robinson, et al.
NPJ Digital Medicine|January 11, 2025
Whole examination AI estimation of fetal biometrics from 20-week ultrasound scansLorenzo Venturini, Samuel Budd, Alfonso Farruggia, et al.
Medical Image Analysis|December 4, 2024
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstructionQiang Ma, Kaili Liang, Liu Li, et al.
Medical Image Analysis|June 27, 2016
Learning clinically useful information from images: Past, present and futureDaniel Rueckert, Ben Glocker, Bernhard Kainz
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Fast marker based C-Arm pose estimationBernhard Kainz, Markus Grabner, Matthias Rüther
Prenatal Diagnosis|September 30, 2023
Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?Thomas G Day, Samuel Budd, Jeremy Tan, et al.
Frontiers in Radiology|June 29, 2026
Self-adaptive forward-forward network for anomaly detection and medical image analysisJohanna P Müller, Matthew Baugh, Bernhard Kainz
IEEE Transactions on Visualization and Computer Graphics|September 21, 2013
Noise-based volume rendering for the visualization of multivariate volumetric dataRostislav Khlebnikov, Bernhard Kainz, Markus Steinberger, et al.
Computer Graphics Forum : Journal of the European Association for Computer Graphics|March 20, 2024
ParaDime: A Framework for Parametric Dimensionality ReductionAndreas Hinterreiter, Christina Humer, Bernhard Kainz, et al.
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