Daniel Tröltzsch

Detection of oral squamous cell carcinoma in clinical photographs using a vision transformer

Tabea Flügge, Robert Gaudin, Antonis Sabatakakis et al. · Scientific Reports · 2023 · 73 citations · Full text

Computing, Computer Science, Oncology +17

Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports

Keno K. Bressem, Lisa C. Adams, Robert Gaudin et al. · Bioinformatics · 2020 · 70 citations

Computing, Computer Science, Radiology +15

Detection of mandibular fractures on panoramic radiographs using deep learning

Shankeeth Vinayahalingam, Niels van Nistelrooij, Bram van Ginneken et al. · Scientific Reports · 2022 · 49 citations · Full text

Dentistry, Maxillofacial Surgery, Oral Surgery +17

Advancements in diagnosing oral potentially malignant disorders: leveraging Vision transformers for multi-class detection

Shankeeth Vinayahalingam, Niels van Nistelrooij, René Rothweiler et al. · Clinical Oral Investigations · 2024 · 23 citations · Full text

Dentistry, Oral Medicine, Oral Pathology +17

Impact of Single-Energy Metal Artifact Reduction on CT image quality in patients with dental hardware

Stefan M. Niehues, Janis L. Vahldiek, Daniel Tröltzsch et al. · Computers in Biology and Medicine · 2018 · 14 citations

Dentistry, Oral Radiology, Radiology +16