Search Results - "WEISHAUPT, LUCA"
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Towards a general-purpose foundation model for computational pathology
Published in Nature medicine (01-03-2024)“…Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks, requiring the objective characterization of histopathological…”
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A multimodal generative AI copilot for human pathology
Published in Nature (London) (10-10-2024)“…Computational pathology 1 , 2 has witnessed considerable progress in the development of both task-specific predictive models and task-agnostic self-supervised…”
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PP22 Presentation Time: 3:50 PM
Published in Brachytherapy (01-05-2021)Get full text
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163 Evaluating the Inter-Observer Variability in the Delineation of Rectal Lesions in Endoscopy Images
Published in Radiotherapy and oncology (01-09-2023)Get full text
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VARIATION IN MONITORING: BIAS IN LACTATE MEASUREMENT IN ICU IN SEPSIS
Published in Chest (01-10-2024)Get full text
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A multimodal generative AI copilot for human pathology
Published in Nature (London) (10-10-2024)“…Computational pathology1,2 has witnessed considerable progress in the development of both task-specific predictive models and task-agnostic self-supervised…”
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Approaching automated applicator digitization from a new angle: Using sagittal images to improve deep learning accuracy and robustness in high-dose-rate prostate brachytherapy
Published in Brachytherapy (01-07-2022)“…To automate the segmentation of treatment applicators on computed tomography (CT) images for high-dose-rate (HDR) brachytherapy prostate patients implanted…”
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PP22 Presentation Time: 3:50 PM
Published in Brachytherapy (01-05-2021)Get full text
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Deep learning-based tumor segmentation on digital images of histopathology slides for microdosimetry applications
Published 04-05-2021“…$\bf{Purpose:}$ The goal of this study was (i) to use artificial intelligence to automate the traditionally labor-intensive process of manual segmentation of…”
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A General-Purpose Self-Supervised Model for Computational Pathology
Published 29-08-2023“…Tissue phenotyping is a fundamental computational pathology (CPath) task in learning objective characterizations of histopathologic biomarkers in anatomic…”
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