Prof. Dr. Bernhard Kainz

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Image Registration via Stochastic Gradient Markov Chain Monte Carlo (2020) Grzech D, Kainz B, Glocker B, le Folgoc L Conference contribution 3D Probabilistic Segmentation and Volumetry from 2D Projection Images (2020) Vlontzos A, Budd S, Hou B, Rueckert D, Kainz B Conference contribution Surface Agnostic Metrics for Cortical Volume Segmentation and Regression (2020) Budd S, Patkee P, Baburamani A, Rutherford M, Robinson EC, Kainz B Conference contribution Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging (2019) Meng Q, Sinclair M, Zimmer V, Hou B, Rajchl M, Toussaint N, Oktay O, et al. Journal article Foreword to the special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 (2019) Schultz T, Puig A, Kainz B Journal article Morpho-Mnist: Quantitative assessment and diagnostics for representation learning (2019) Castro DC, Tan J, Kainz B, Konukoglu E, Glocker B Journal article Three-dimensional visualisation of the fetal heart using prenatal MRI with motion-corrected slice-volume registration: a prospective, single-centre cohort study (2019) Lloyd DF, Pushparajah K, Simpson JM, van Amerom JF, van Poppel MP, Schulz A, Kainz B, et al. Journal article Evaluating reinforcement learning agents for anatomical landmark detection (2019) Alansary A, Oktay O, Li Y, Le Folgoc L, Hou B, Vaillant G, Kamnitsas K, et al. Journal article Attention gated networks: Learning to leverage salient regions in medical images (2019) Schlemper J, Oktay O, Schaap M, Heinrich M, Kainz B, Glocker B, Rueckert D Journal article Automated quality control in image segmentation: Application to the UK Biobank cardiovascular magnetic resonance imaging study (2019) Robinson R, Valindria VV, Bai W, Oktay O, Kainz B, Suzuki H, Sanghvi MM, et al. Journal article