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Unpublished / Preprint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

Remote Expert DVT Triaging of Novice-User Compression Sonography with AI-Guidance (2023) Oppenheimer J, Mandegaran R, Staabs F, Adler A, Singöhl S, Kainz B, Heinrich M, et al. Journal article Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis (2023) Shkëmbi G, Müller J, Li Z, Breininger K, Schüffler P, Kainz B Conference contribution MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI (2023) Zhang W, Basaran B, Meng Q, Baugh M, Stelter J, Lung P, Patel U, et al. Conference contribution, Original article Robust Segmentation via Topology Violation Detection and Feature Synthesis (2023) Li L, Ma Q, Ouyang C, Li Z, Meng Q, Zhang W, Qiao M, et al. Conference contribution, Original article 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