| Cellvit: Vision transformers for precise cell segmentation and classification F Hörst, M Rempe, L Heine, C Seibold, J Keyl, G Baldini, S Ugurel, ... Medical Image Analysis 94, 103143, 2024 | 88 | 2024 |
| CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients L Kroll, A Mathew, G Baldini, R Hosch, S Koitka, J Kleesiek, C Rischpler, ... Scientific Reports 12 (1), 13419, 2022 | 19 | 2022 |
| BOA: a CT-based body and organ analysis for radiologists at the point of care J Haubold, G Baldini, V Parmar, BM Schaarschmidt, S Koitka, L Kroll, ... Investigative Radiology, 10.1097, 2023 | 15 | 2023 |
| FHIR-PYrate: a data science friendly Python package to query FHIR servers R Hosch, G Baldini, V Parmar, K Borys, S Koitka, M Engelke, K Arzideh, ... BMC Health Services Research 23 (1), 734, 2023 | 15 | 2023 |
| AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump DP Hoyer, S Ting, N Rogacka, S Koitka, R Hosch, N Flaschel, J Haubold, ... Journal of Pathology Informatics 15, 100345, 2024 | 6 | 2024 |
| From admission to discharge: a systematic review of clinical natural language processing along the patient journey K Klug, K Beckh, D Antweiler, N Chakraborty, G Baldini, K Laue, R Hosch, ... BMC Medical Informatics and Decision Making 24 (1), 238, 2024 | 6 | 2024 |
| SAROS: A dataset for whole-body region and organ segmentation in CT imaging S Koitka, G Baldini, L Kroll, N van Landeghem, OB Pollok, J Haubold, ... Scientific Data 11 (1), 483, 2024 | 5 | 2024 |
| Comprehensive study on German language models for clinical and biomedical text understanding A Idrissi-Yaghir, A Dada, H Schäfer, K Arzideh, G Baldini, J Trienes, ... arXiv preprint arXiv:2404.05694, 2024 | 5 | 2024 |
| Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors P Raut, G Baldini, M Schöneck, L Caldeira Frontiers in Radiology 3, 1336902, 2024 | 4 | 2024 |
| Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management M Engelke, CS Schmidt, G Baldini, V Parmar, R Hosch, K Borys, S Koitka, ... Blood 142 (26), 2315-2326, 2023 | 4 | 2023 |
| MRI scan synthesis methods based on clustering and Pix2Pix G Baldini, M Schmidt, C Zäske, LL Caldeira International Conference on Artificial Intelligence in Medicine, 109-125, 2024 | 1 | 2024 |
| Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline F Hörst, SH Schaheer, G Baldini, FH Bahnsen, J Egger, J Kleesiek BVM Workshop, 356-361, 2024 | 1 | 2024 |
| algo-hhu/FLSpp L Drexler, J Könen, DR Schmidt, M Schmidt, G Baldini Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2024 | 1 | 2024 |
| Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging G Baldini, R Hosch, CS Schmidt, K Borys, L Kroll, S Koitka, P Haubold, ... Investigative Radiology, 10.1097, 2023 | 1 | 2023 |
| An automated information extraction model for unstructured discharge letters using large language models and GPT-4 RM Siepmann, G Baldini, CS Schmidt, D Truhn, GA Müller-Franzes, ... Healthcare Analytics 7, 100378, 2025 | | 2025 |
| A Transformer-Based Pipeline for German Clinical Document De-Identification K Arzideh, G Baldini, P Winnekens, CM Friedrich, F Nensa, ... Applied Clinical Informatics 16 (01), 031-043, 2025 | | 2025 |
| Fully automatic quantification of pulmonary fat attenuation volume by CT: an exploratory pilot study L Salhöfer, M Holtkamp, F Bonella, L Umutlu, J Wienker, D Westhölter, ... European Radiology Experimental 8 (1), 1-9, 2024 | | 2024 |
| SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees S Koitka, G Baldini, CS Schmidt, OB Pollok, O Pelka, J Kohnke, K Borys, ... arXiv preprint arXiv:2407.08878, 2024 | | 2024 |
| Mapping Brain Clusterings to Reproduce Missing MRI Scans G Baldini, M Schmidt, C Zäske, L Caldeira Universität zu Köln, 2021 | | 2021 |
| SMITH Science Day 2022 G Baldini, K Arzideh, J Trienes, J Schlötterer, C Seifert, F Nensa | | |
Felix NensaSenior Radiologist, University Hospital Essenبريد إلكتروني تم التحقق منه على uk-essen.de