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Thomas J Fuchs

Showing results (1-10 of 51) with videos related to

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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 13, 2011
Computational pathology: challenges and promises for tissue analysisThomas J Fuchs, Joachim M Buhmann
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Geometrical consistent 3D tracing of neuronal processes in ssTEM dataVerena Kaynig, Thomas J Fuchs, Joachim M Buhmann
Cancer Research|July 2, 2025
Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and MultimodalityPegah Khosravi, Thomas J Fuchs, David Joon Ho
Medical Image Analysis|April 8, 2019
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problemIda Häggström, C Ross Schmidtlein, Gabriele Campanella, et al.
Journal of Instrumentation : an IOP and SISSA Journal|June 28, 2024
Depth resolved pencil beam radiography using AI - a proof of principle studyIda Häggström, Lukas M Carter, Thomas J Fuchs, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patientsThomas J Fuchs, Peter J Wild, Holger Moch, et al.
Journal of Pathology Informatics|November 11, 2021
FlexTileSource: An OpenSeadragon Extension for Efficient Whole-Slide Image VisualizationPeter J Schüffler, Gamze Gokturk Ozcan, Hikmat Al-Ahmadie, et al.
Journal of Pathology Informatics|May 20, 2021
Overcoming an Annotation Hurdle: Digitizing Pen Annotations from Whole Slide ImagesPeter J Schüffler, Dig Vijay Kumar Yarlagadda, Chad Vanderbilt, et al.
Neurobiology of Aging|July 20, 2023
Machine learning approaches based on fibroblast morphometry do not predict ALSEvan Woo, Kirsten Bredvik, Bangyan Liu, et al.
BMC Medical Informatics and Decision Making|July 3, 2025
Keyword-optimized template insertion for clinical note classification via prompt-based learningEugenia Alleva, Isotta Landi, Leslee J Shaw, et al.
Pageof 6

Showing results (1-10 of 51) with videos related to

Sort By:
Pageof 6
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|April 13, 2011
Computational pathology: challenges and promises for tissue analysisThomas J Fuchs, Joachim M Buhmann
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Geometrical consistent 3D tracing of neuronal processes in ssTEM dataVerena Kaynig, Thomas J Fuchs, Joachim M Buhmann
Cancer Research|July 2, 2025
Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and MultimodalityPegah Khosravi, Thomas J Fuchs, David Joon Ho
Medical Image Analysis|April 8, 2019
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problemIda Häggström, C Ross Schmidtlein, Gabriele Campanella, et al.
Journal of Instrumentation : an IOP and SISSA Journal|June 28, 2024
Depth resolved pencil beam radiography using AI - a proof of principle studyIda Häggström, Lukas M Carter, Thomas J Fuchs, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 6, 2008
Computational pathology analysis of tissue microarrays predicts survival of renal clear cell carcinoma patientsThomas J Fuchs, Peter J Wild, Holger Moch, et al.
Journal of Pathology Informatics|November 11, 2021
FlexTileSource: An OpenSeadragon Extension for Efficient Whole-Slide Image VisualizationPeter J Schüffler, Gamze Gokturk Ozcan, Hikmat Al-Ahmadie, et al.
Journal of Pathology Informatics|May 20, 2021
Overcoming an Annotation Hurdle: Digitizing Pen Annotations from Whole Slide ImagesPeter J Schüffler, Dig Vijay Kumar Yarlagadda, Chad Vanderbilt, et al.
Neurobiology of Aging|July 20, 2023
Machine learning approaches based on fibroblast morphometry do not predict ALSEvan Woo, Kirsten Bredvik, Bangyan Liu, et al.
BMC Medical Informatics and Decision Making|July 3, 2025
Keyword-optimized template insertion for clinical note classification via prompt-based learningEugenia Alleva, Isotta Landi, Leslee J Shaw, et al.
Pageof 6