activity
20172024
most citedOmicron (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance

79 citations · 92 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC2024★ 2 cited

AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI

Katja Bühler, Thomas Höllt, Thomas Schulz +1

AI is the workhorse of modern data analytics and omnipresent across many sectors. Large Language Models and multi-modal foundation models are today capable of generating code, char…

cs.CV2024★ 10 cited

Multi-scale attention-based instance segmentation for measuring crystals with large size variation

Theresa Neubauer, Astrid Berg, Maria Wimmer +8

Quantitative measurement of crystals in high-resolution images allows for important insights into underlying material characteristics. Deep learning has shown great progress in vis…

cs.CV2023★ 1 cited

Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods

Astrid Berg, Eva Vandersmissen, Maria Wimmer +6

To facilitate both the detection and the interpretation of findings in chest X-rays, comparison with a previous image of the same patient is very valuable to radiologists. Today, t…

cs.HC2021

Exploration of Overlap Volumes for Radiotherapy Plan Evaluation with the Aim of Healthy Tissue Sparing

Matthias Schlachter, Samuel Peters, Daniel Camenisch +2

Purpose: Development of a novel interactive visualization approach for the exploration of radiotherapy treatment plans with a focus on overlap volumes with the aim of healthy tissu…

q-bio.QM2021★ 79 cited

Omicron (B.1.1.529): Infectivity, vaccine breakthrough, and antibody resistance

Jiahui Chen, Rui Wang, Nancy Benovich Gilby +1

The latest severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant Omicron (B.1.1.529) has ushered panic responses around the world due to its contagious and vaccine e…

cs.CV2017

Fully Convolutional Architectures for Multi-Class Segmentation in Chest Radiographs

Alexey A. Novikov, Dimitrios Lenis, David Major +3

The success of deep convolutional neural networks on image classification and recognition tasks has led to new applications in very diversified contexts, including the field of med…