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Leonhard Donle

Showing results (1-10 of 9) with videos related to

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Frontiers in Neuroinformatics|February 20, 2024
Improving the detection of sleep slow oscillations in electroencephalographic dataCristiana Dimulescu, Leonhard Donle, Caglar Cakan, et al.
European Radiology Experimental|September 20, 2025
MRI annotation using an inversion-based preprocessing for CT model adaptationHartmut Häntze, Lina Xu, Maximilian Nikolas Rattunde, et al.
Academic Radiology|January 7, 2025
Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural NetworksFares Al Mohamad, Leonhard Donle, Felix Dorfner, et al.
Radiology|October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph ReportsFelix J Dorfner, Liv Jürgensen, Leonhard Donle, et al.
RMD Open|December 24, 2024
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detectionFelix J Dorfner, Janis L Vahldiek, Leonhard Donle, et al.
Nature|May 14, 2025
Radiation-induced amphiregulin drives tumour metastasisAndrás Piffkó, Kaiting Yang, Arpit Panda, et al.
Cancer Cell|June 27, 2025
Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progressionLisa Schweizer, Hilary A Kenny, Rahul Krishnan, et al.
Nature|July 23, 2025
NNMT inhibition in cancer-associated fibroblasts restores antitumour immunityJanna Heide, Agnes J Bilecz, Samarjit Patnaik, et al.
Radiology. Artificial Intelligence|August 6, 2025
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure DelineationHartmut Häntze, Lina Xu, Christian J Mertens, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroinformatics|February 20, 2024
Improving the detection of sleep slow oscillations in electroencephalographic dataCristiana Dimulescu, Leonhard Donle, Caglar Cakan, et al.
European Radiology Experimental|September 20, 2025
MRI annotation using an inversion-based preprocessing for CT model adaptationHartmut Häntze, Lina Xu, Maximilian Nikolas Rattunde, et al.
Academic Radiology|January 7, 2025
Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural NetworksFares Al Mohamad, Leonhard Donle, Felix Dorfner, et al.
Radiology|October 29, 2024
Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph ReportsFelix J Dorfner, Liv Jürgensen, Leonhard Donle, et al.
RMD Open|December 24, 2024
Anatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detectionFelix J Dorfner, Janis L Vahldiek, Leonhard Donle, et al.
Nature|May 14, 2025
Radiation-induced amphiregulin drives tumour metastasisAndrás Piffkó, Kaiting Yang, Arpit Panda, et al.
Cancer Cell|June 27, 2025
Spatial proteo-transcriptomic profiling reveals the molecular landscape of borderline ovarian tumors and their invasive progressionLisa Schweizer, Hilary A Kenny, Rahul Krishnan, et al.
Nature|July 23, 2025
NNMT inhibition in cancer-associated fibroblasts restores antitumour immunityJanna Heide, Agnes J Bilecz, Samarjit Patnaik, et al.
Radiology. Artificial Intelligence|August 6, 2025
Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure DelineationHartmut Häntze, Lina Xu, Christian J Mertens, et al.
Pageof 1