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Disambiguation of "Schüffler, Peter J."

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Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma.

, , , , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 77-89. Springer, (2011)

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Jürgen Schüffler

Heinz Schüffler

Arnulf Schüffler

Rudolf Schüffler

Anja Schüffler

 

Other publications of authors with the same name

Combining Data Sources Nonlinearly for Cell Nucleus Classification of Renal Cell Carcinoma., , , , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 250-260. Springer, (2011)Integrated digital pathology at scale: A solution for clinical diagnostics and cancer research at a large academic medical center., , , , , , , , , and 22 other author(s). J. Am. Medical Informatics Assoc., 28 (9): 1874-1884 (2021)Multimodal Context-Aware Detection of Glioma Biomarkers Using MRI and WSI., , , , , , and . MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, volume 14394 of Lecture Notes in Computer Science, page 157-167. Springer, (2023)DICOM Whole Slide Imaging for Computational Pathology Research in Kaapana and the Joint Imaging Platform., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 273-278. Springer, (2022)Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology., , , , , and . Comput. Medical Imaging Graph., (2018)A Multiple Kernel Learning Algorithm for Cell Nucleus Classification of Renal Cell Carcinoma., , , and . ICIAP (1), volume 6978 of Lecture Notes in Computer Science, page 413-422. Springer, (2011)Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning., , , , , , , , , and 2 other author(s). MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 427-436. Springer, (2023)Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma., , , , and . SIMBAD, volume 7005 of Lecture Notes in Computer Science, page 77-89. Springer, (2011)DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope., , , , and . CIBB, volume 10477 of Lecture Notes in Computer Science, page 42-58. Springer, (2016)Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images - the ACDC@LungHP Challenge 2019., , , , , , , , , and 23 other author(s). CoRR, (2020)