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Nodule Detection in Chest Radiographs with Unsupervised Pre-Trained Detection Transformers., , , , и . ISBI, стр. 1-4. IEEE, (2023)Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography?, , , , , и . ISBI, стр. 1-4. IEEE, (2024)Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection., , , , , , и . ISBI, стр. 1-4. IEEE, (2024)Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus., , , , , , , , , и 1 other автор(ы). Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Patched Diffusion Models for Unsupervised Anomaly Detection in Brain MRI., , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 1019-1032. PMLR, (2023)Unsupervised Anomaly Detection in 3D Brain MRI Using Deep Learning with Impured Training Data., , , , , и . ISBI, стр. 1-4. IEEE, (2022)Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection., , , , , , и . CoRR, (2024)Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue., , , , и . MICCAI (9), том 14228 из Lecture Notes in Computer Science, стр. 607-617. Springer, (2023)Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs., , , , и . CoRR, (2022)Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus., , , , , , , , , и 3 other автор(ы). MICCAI (3), том 13433 из Lecture Notes in Computer Science, стр. 429-438. Springer, (2022)