Papers matching “chest X-ray classification” 24
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MedicalPatchNet: a patch-based self-explainable AI architecture for chest X-ray classification2026 Scientific Reports article Computer Science Explainable Artificial Intelligence (XAI) Open access
Patrick Wienholt, Christiane Katharina Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
3citations -
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis from Chest X-ray Images2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) conference-paper Medicine COVID-19 diagnosis using AI Open access
Md. Rezaul Karim, Till Döhmen, Michael Cochez, Oya Beyan, Dietrich Rebholz‐Schuhmann, Stefan Decker
154citations -
Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs2023 Radiology Artificial Intelligence article Computer Science Privacy-Preserving Technologies in Data Open access
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin-Jonathan Sähn, Peter Isfort, Christiane Katharina Kuhl, +3 more
19citations -
Single-Pass Decision Scores Enable Rapid Classification with Adjustable Thresholds in Medical Multimodal Large Language Models2026 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access
Patrick Wienholt, Frederik Hauke, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
0citations -
Automatic Evaluation of Chest Radiographs – The Data Source Matters, But How Much Exactly?2023 RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren article Medicine COVID-19 diagnosis using AI
Soroosh Tayebi Arasteh, Peter Isfort, Christiane Katharina Kuhl, Sven Nebelung, Daniel Truhn
4citations -
Swarm Learning for decentralized and confidential clinical machine learning2021 Nature article Computer Science Privacy-Preserving Technologies in Data Open access cited by 9 patents
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, Sathyanarayanan Manamohan, Saikat Mukherjee, Vishesh Garg, +91 more
901citations -
From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development2026 arXiv (Cornell University) preprint Medicine Artificial Intelligence in Healthcare and Education Open access
Zihao Zhao, Frederik Hauke, Juliana de Castilhos, Mathis Bode, Jakob Nikolas Kather, Sven Nebelung, +1 more
0citations -
Sparse Local Latents for Explainable Zero-Shot Reasoning in Medical Vision-Language Models2026 Lecture notes in computer science conference-paper Computer Science Multimodal Machine Learning Applications
Martin Goetze, Patrick Wienholt, Dennis Eschweiler, Marvin Gazibaric, Christiane Kuhl, Sven Nebelung, +1 more
0citations -
Leveraging Vision Transformers with Hyperparameter Optimization for the Classification of Acute Respiratory Distress Syndrome2025 International Convention on Information and Communication Technology, Electronics and Microelectronics conference-paper Medicine COVID-19 diagnosis using AI
Josefine Busch, Chadi Barakat, T. Pauli, Simon Fonck, André Stollenwerk, Sebastian Johannes Fritsch, +1 more
0citations -
Pathophysiologie, Diagnostik und Therapie der Lungenkontusion – Empfehlungen der interdisziplinären Arbeitsgruppe der Sektion NIS der DGU und DGT zur Thoraxtraumaversorgung2023 Zentralblatt für Chirurgie - Zeitschrift für Allgemeine Viszeral- Thorax- und Gefäßchirurgie article Medicine Trauma Management and Diagnosis
Philipp Störmann, Sebastian Krämer, S. Raab, Sebastian Kalverkamp, Pascal Graeff
11citations -
O-329 EVALUATION OF 1.3 MILLION POST EXPOSURE EXAMINATIONS IN ASBESTOS WORKERS FROM GERMANY – TIME TRENDS IN DETECTION RATES OF ASBESTOS-RELATED DISEASES2024 Occupational Medicine conference-abstract Medicine Occupational and environmental lung diseases
Thomas Kraus, André Esser, Alexandra Centmayer, Hans-Jürgen Raithel
0citations
24 results