| Patched diffusion models for unsupervised anomaly detection in brain mri F Behrendt, D Bhattacharya, J Krüger, R Opfer, A Schlaefer Medical Imaging with Deep Learning, 1019-1032, 2024 | 31 | 2024 |
| Supervised contrastive learning to classify paranasal anomalies in the maxillary sinus D Bhattacharya, BT Becker, F Behrendt, M Bengs, D Beyersdorff, D Eggert, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
| Capturing inter-slice dependencies of 3D brain MRI-scans for unsupervised anomaly detection F Behrendt, M Bengs, D Bhattacharya, J Krüger, R Opfer, A Schlaefer Medical Imaging with Deep Learning, 2022 | 8 | 2022 |
| Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain mris F Behrendt, D Bhattacharya, R Mieling, L Maack, J Krüger, R Opfer, ... arXiv preprint arXiv:2312.04215, 2023 | 6 | 2023 |
| Learning robust representation for laryngeal cancer classification in vocal folds from narrow band images D Bhattacharya, F Behrendt, A Felicio-Briegel, V Volgger, D Eggert, ... Medical Imaging with Deep Learning, 2022 | 6 | 2022 |
| Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus D Bhattacharya, F Behrendt, BT Becker, D Beyersdorff, E Petersen, ... International Journal of Computer Assisted Radiology and Surgery 19 (2), 223-231, 2024 | 5 | 2024 |
| A systematic approach to deep learning-based nodule detection in chest radiographs F Behrendt, M Bengs, D Bhattacharya, J Krüger, R Opfer, A Schlaefer Scientific reports 13 (1), 10120, 2023 | 5 | 2023 |
| Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus D Bhattacharya, F Behrendt, BT Becker, D Beyersdorff, E Petersen, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 291-296, 2023 | 4 | 2023 |
| Self-supervised U-Net for segmenting flat and sessile polyps D Bhattacharya, C Betz, D Eggert, A Schlaefer Medical Imaging 2022: Computer-Aided Diagnosis 12033, 887-892, 2022 | 4 | 2022 |
| Squeeze and multi‐context attention for polyp segmentation D Bhattacharya, D Eggert, C Betz, A Schlaefer International journal of imaging systems and technology 33 (1), 123-142, 2023 | 3 | 2023 |
| Data-efficient vision transformers for multi-label disease classification on chest radiographs F Behrendt, D Bhattacharya, J Krüger, R Opfer, A Schlaefer Current directions in biomedical engineering 8 (1), 34-37, 2022 | 3 | 2022 |
| Dual parallel reverse attention edge network: DPRA-EdgeNet D Bhattacharya, C Betz, D Eggert, A Schlaefer Nordic Machine Intelligence 1 (1), 8-10, 2021 | 3 | 2021 |
| PolypNextLSTM: A lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM D Bhattacharya, K Reuter, F Behrendt, L Maack, S Grube, A Schlaefer International Journal of Computer Assisted Radiology and Surgery, 1-9, 2024 | 1 | 2024 |
| Diffusion Models with Ensembled Structure-Based Anomaly Scoring for Unsupervised Anomaly Detection F Behrendt, D Bhattacharya, L Maack, J Krüger, R Opfer, R Mieling, ... arXiv preprint arXiv:2403.14262, 2024 | 1 | 2024 |
| Leveraging the Mahalanobis Distance to enhance Unsupervised Brain MRI Anomaly Detection F Behrendt, D Bhattacharya, R Mieling, L Maack, J Krüger, R Opfer, ... arXiv preprint arXiv:2407.12474, 2024 | | 2024 |
| Self-supervised learning for classifying paranasal anomalies in the maxillary sinus D Bhattacharya, F Behrendt, BT Becker, L Maack, D Beyersdorff, ... International Journal of Computer Assisted Radiology and Surgery, 1-9, 2024 | | 2024 |
| Can Complex-Valued Neural Networks Improve Force Sensing with Optical Coherence Tomography? R Mieling, S Latus, F Behrendt, D Bhattacharya, M Neidhardt, A Schlaefer 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-4, 2024 | | 2024 |
| Validation and correlation with clinical data of a newly developed computer aided diagnostic system for the classification of paranasal anomalies in the maxillary sinus from … B Becker, D Bhattacharya, C Betz, AS Hoffmann Laryngo-Rhino-Otologie 103 (S 02), 2024 | | 2024 |
| Convolutional transformer network for paranasal anomaly classification in the maxillary sinus D Bhattacharya, F Behrendt, L Maack, BT Becker, D Beyersdorff, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 283-286, 2024 | | 2024 |
| Weakly supervised Medulloblastoma tumor classification using domain specific patch-level feature extraction L Maack, D Bhattacharya, F Behrendt, M Bockmayr, A Schlaefer Medical Imaging 2024: Digital and Computational Pathology 12933, 330-333, 2024 | | 2024 |
