Prof. Dr. Bernhard Kainz

Picture of 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Unpublished / Preprint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

Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis (2023) Reynaud H, Qiao M, Dombrowski M, Day T, Razavi R, Gomez A, Leeson P, Kainz B Conference contribution, Original article Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction (2023) Ma Q, Li L, Kyriakopoulou V, Hajnal JV, Robinson EC, Kainz B, Rueckert D Conference contribution, Original article Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme? (2023) Day TG, Budd S, Tan J, Matthew J, Skelton E, Jowett V, Lloyd D, et al. Journal article Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering (2023) Schmidtke L, Hou B, Vlontzos A, Kainz B Conference contribution Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view (2023) Zimmer VA, Gomez A, Skelton E, Wright R, Wheeler G, Deng S, Ghavami N, et al. Journal article MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images (2022) Zimmerer D, Full PM, Isensee F, Jaeger P, Adler T, Petersen J, Koehler G, et al. Journal article Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time (2022) Matthew J, Skelton E, Day TG, Zimmer VA, Gomez A, Wheeler G, Toussaint N, et al. Journal article Fetal Cortex Segmentation with Topology and Thickness Loss Constraints (2022) Li L, Ma Q, Li Z, Ouyang C, Zhang W, Price A, Kyriakopoulou V, et al. Conference contribution Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization (2022) Schlüter HM, Tan J, Hou B, Kainz B Conference contribution A variational Bayesian method for similarity learning in non-rigid image registration (2022) Grzech D, Azampour MF, Glocker B, Schnabel J, Navab N, Kainz B, Folgoc LL Conference contribution