Few-shot structured radiology report generation using natural language prompts M Keicher, K Mullakaeva, T Czempiel, K Mach, A Khakzar, N Navab arXiv preprint arXiv:2203.15723, 2022 | 5 | 2022 |
Peri-diagnostic decision support through cost-efficient feature acquisition at test-time G Vivar, K Mullakaeva, A Zwergal, N Navab, SA Ahmadi Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 5 | 2020 |
Flexr: Few-shot classification with language embeddings for structured reporting of chest x-rays M Keicher, K Zaripova, T Czempiel, K Mach, A Khakzar, N Navab Medical Imaging with Deep Learning, 1493-1508, 2024 | 2 | 2024 |
A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations TT Müller, S Starck, A Dima, S Wunderlich, KM Bintsi, K Zaripova, ... Transactions on Machine Learning Research, 2023 | 1 | 2023 |
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications K Zaripova, L Cosmo, A Kazi, SA Ahmadi, MM Bronstein, N Navab Medical Image Analysis 88, 102839, 2023 | 1 | 2023 |
Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays Y Xiong, J Liu, K Zaripova, S Sharifzadeh, M Keicher, N Navab arXiv preprint arXiv:2303.13818, 2023 | | 2023 |
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications K Mullakaeva, L Cosmo, A Kazi, SA Ahmadi, N Navab, MM Bronstein arXiv preprint arXiv:2204.00323, 2022 | | 2022 |