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Robert Gaudin

Humboldt-Universität zu Berlin · DE
Area of research
Oral Surgery · Neurology
Research interest
Research interests include Dental Radiography and Imaging, Facial Nerve Paralysis Treatment and Research, COVID-19 diagnosis using AI, and Trigeminal Neuralgia and Treatments.
h-index
23
citations
2,211
works
47
NIH funding
primary concept
email

Recent publications

Automated detection and classification of osteolytic lesions in panoramic radiographs using CNNs and vision transformers
BMC Oral Health 2025cited by 5position: lastdoi
Enhanced Osteoporosis Detection Using Artificial Intelligence: A Deep Learning Approach to Panoramic Radiographs with an Emphasis on the Mental Foramen
Medical Sciences 2024cited by 10position: firstdoi
Detection of carotid plaques on panoramic radiographs using deep learning
Journal of Dentistry 2024cited by 10position: lastdoi
AI-Powered Identification of Osteoporosis in Dental Panoramic Radiographs: Addressing Methodological Flaws in Current Research
Diagnostics 2024cited by 7position: firstdoi
Detection of oral squamous cell carcinoma in clinical photographs using a vision transformer
Scientific Reports 2023cited by 71position: middledoi
Quality of life and psychological evaluation of patients after anaplastology
Journal of Cranio-Maxillofacial Surgery 2023cited by 5position: firstdoi
Detection of mandibular fractures on panoramic radiographs using deep learning
Scientific Reports 2022cited by 49position: lastdoi
Patients’ Perspectives on Artificial Intelligence in Dentistry: A Controlled Study
Journal of Clinical Medicine 2022cited by 45position: middledoi
Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning
Diagnostics 2022cited by 22position: middledoi
Deep-Learning-Based Diagnosis of Bedside Chest X-ray in Intensive Care and Emergency Medicine
Investigative Radiology 2021cited by 23position: middledoi
Diagnostic performance of dynamic volume perfusion CT for differentiation of head and neck cancer from healthy tissue and post-therapeutic changes
Clinical Hemorheology and Microcirculation 2021cited by 2position: middledoi
Detecting caries lesions of different radiographic extension on bitewings using deep learning
Journal of Dentistry 2020cited by 311position: middledoi
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
Diagnostics 2020cited by 165position: lastdoi
Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports
Bioinformatics 2020cited by 69position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Max Heiland · Humboldt-Universität zu Berlin9 papers (2020–2025)Carsten Rendenbach · Humboldt-Universität zu Berlin6 papers (2020–2025)Shankeeth Vinayahalingam · Radboud University Nijmegen6 papers (2022–2025)Niels van Nistelrooij · Radboud University Nijmegen5 papers (2022–2025)Keno K. Bressem · Brigham and Women's Hospital5 papers (2020–2024)Iman Ghanad · Charité - Universitätsmedizin Berlin4 papers (2023–2025)Stefan M. Niehues · DAK-Gesundheit (Germany)4 papers (2020–2021)Falk Schwendicke · National Business Group on Health3 papers (2020–2022)Joachim Krois · Berlin Institute of Health at Charité - Universitätsmedizin Berlin3 papers (2020–2022)Tong Xi · North China Electric Power University3 papers (2022–2025)Tabea Flügge · University Hospital Dubrava3 papers (2022–2024)Daniel Tröltzsch · Humboldt-Universität zu Berlin3 papers (2020–2023)Constantin von See · Medizinische Hochschule Hannover3 papers (2024–2025) · 2 papers (2024–2024)Marcus R. Makowski · LMU Klinikum2 papers (2020–2021) · 2 papers (2024–2024) · 2 papers (2020–2023)Akhilanand Chaurasia · King George's Medical University2 papers (2020–2022)Stephan Kewenig · Charité - Universitätsmedizin Berlin2 papers (2024–2024)Lisa C. Adams · Palo Alto University2 papers (2020–2021)