output
20122026
most citedThe Liver Tumor Segmentation Benchmark (LiTS)

1.2k citations

Showing 2020Show all

16 papers · 1 filter

cs.RO2020★ 1 cited

Spotlight-based 3D Instrument Guidance for Retinal Surgery

Mingchuan Zhou, Jiahao Wu, Ali Ebrahimi +7

Retinal surgery is a complex activity that can be challenging for a surgeon to perform effectively and safely. Image guided robot-assisted surgery is one of the promising solutions…

eess.IV2020★ 6 cited

Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction

Chen Qin, Jinming Duan, Kerstin Hammernik +7

Purpose: To introduce a novel deep learning based approach for fast and high-quality dynamic multi-coil MR reconstruction by learning a complementary time-frequency domain network…

eess.IV2020★ 5 cited

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease

Martin Dyrba, Moritz Hanzig, Slawek Altenstein +37

Background: Although convolutional neural networks (CNN) achieve high diagnostic accuracy for detecting Alzheimer's disease (AD) dementia based on magnetic resonance imaging (MRI)…

cs.CL2020★ 8 cited

GottBERT: a pure German Language Model

Raphael Scheible, Johann Frei, Fabian Thomczyk +6

Pre-trained language models have significantly advanced natural language processing (NLP), especially with the introduction of BERT and its optimized version, RoBERTa. While initia…

physics.med-ph2020★ 7 cited

X-ray dark-field signal reduction due to hardening of the visibility spectrum

Fabio De Marco, Jana Andrejewski, Theresa Urban +6

X-ray dark-field imaging enables a spatially-resolved visualization of ultra-small-angle X-ray scattering. Using phantom measurements, we demonstrate that a material's effective da…

eess.IV2020★ 20 cited

Efficient, high-performance pancreatic segmentation using multi-scale feature extraction

Moritz Knolle, Georgios Kaissis, Friederike Jungmann +5

For artificial intelligence-based image analysis methods to reach clinical applicability, the development of high-performance algorithms is crucial. For example, existent segmentat…