755 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZurichCH44 papers
- ETH ZurichCH25 papers
- University Children's Hospital ZurichCH10 papers
- Technical University of MunichDE9 papers
- ZHAW Zurich University of Applied SciencesCH9 papers
- Universitätsklinik BalgristCH7 papers
- University Hospital of BernCH7 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE6 papers
- Imperial College LondonGB6 papers
- King's College LondonGB6 papers
- Medical University of ViennaAT6 papers
- University of BernCH6 papers
11 papers · 1 filter
The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Kaiyuan Yang, Fabio Musio, Yihui Ma +112
The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, an…
Outcomes truncated by death in RCTs: a simulation study on the survivor average causal effect
Stefanie von Felten, Chiara Vanetta, Christoph M. Rüegger +2
Continuous outcome measurements truncated by death present a challenge for the estimation of unbiased treatment effects in randomized controlled trials (RCTs). One way to deal with…
Automatized Self-Supervised Learning for Skin Lesion Screening
Vullnet Useini, Stephanie Tanadini-Lang, Quentin Lohmeyer +4
Melanoma, the deadliest form of skin cancer, has seen a steady increase in incidence rates worldwide, posing a significant challenge to dermatologists. Early detection is crucial f…
FetMRQC: a robust quality control system for multi-centric fetal brain MRI
Thomas Sanchez, Oscar Esteban, Yvan Gomez +8
Fetal brain MRI is becoming an increasingly relevant complement to neurosonography for perinatal diagnosis, allowing fundamental insights into fetal brain development throughout ge…
Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution
Dorian Quelle, Calvin Cheng, Alexandre Bovet +1
Misinformation and disinformation are growing threats in the digital age, affecting people across languages and borders. However, no research has investigated the prevalence of mul…
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
Dave Van Veen, Cara Van Uden, Louis Blankemeier +16
Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large langua…
Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery
Florentin Liebmann, Marco von Atzigen, Dominik Stütz +10
Established surgical navigation systems for pedicle screw placement have been proven to be accurate, but still reveal limitations in registration or surgical guidance. Registration…
Video object detection for privacy-preserving patient monitoring in intensive care
Raphael Emberger, Jens Michael Boss, Daniel Baumann +5
Patient monitoring in intensive care units, although assisted by biosensors, needs continuous supervision of staff. To reduce the burden on staff members, IT infrastructures are bu…
Live image-based neurosurgical guidance and roadmap generation using unsupervised embedding
Gary Sarwin, Alessandro Carretta, Victor Staartjes +5
Advanced minimally invasive neurosurgery navigation relies mainly on Magnetic Resonance Imaging (MRI) guidance. MRI guidance, however, only provides pre-operative information in th…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
Lightweight Transformers for Clinical Natural Language Processing
Omid Rohanian, Mohammadmahdi Nouriborji, Hannah Jauncey +5
Specialised pre-trained language models are becoming more frequent in NLP since they can potentially outperform models trained on generic texts. BioBERT and BioClinicalBERT are two…