| GANs for generation of synthetic ultrasound images from small datasets L Maack, L Holstein, A Schlaefer Current directions in biomedical engineering 8 (1), 17-20, 2022 | 10 | 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 | 7 | 2023 |
| 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 | 2 | 2024 |
| 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 19 (10 …, 2024 | 1 | 2024 |
| Quantitative evaluation of activation maps for weakly-supervised lung nodule segmentation F Behrendt, S Sonawane, D Bhattacharya, L Maack, J Krüger, R Opfer, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 643-646, 2024 | 1 | 2024 |
| Efficient Anatomy Segmentation in Laparoscopic Surgery using Multi-Teacher Knowledge Distillation L Maack, F Behrendt, D Bhattacharya, S Latus, A Schlaefer Medical Imaging with Deep Learning, 2024 | 1 | 2024 |
| Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs F Behrendt, D Bhattacharya, L Maack, J Krüger, R Opfer, A Schlaefer Medical Imaging with Deep Learning, 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 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 |
| PATH-05. MACHINE LEARNING-BASED CYTOLOGICAL ANALYSIS OF CEREBROSPINAL FLUID IN MEDULLOBLASTOMA L Maack, C Kresbach, J Neumann, J Tischendorf, A Wefers, P Seegerer, ... Neuro-Oncology 26 (Suppl 4), 0, 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 |
| Motion-compensated OCT imaging of laryngeal tissue S Latus, M Kulas, J Sprenger, D Bhattacharya, PC Breda, L Wittig, ... Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and …, 2024 | | 2024 |
