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Thomas Fuchs

Formats
  1. Journal Article (18)
  2. Conference Paper (6)
  3. Meeting Abstract (3)
  4. Book Section (1)
  5. Research Letter (1)
Groups
  1. Medical Physics (29)
  2. Department of Pathology and Laboratory Medicine (18)
  3. Sloan Kettering Institute Postdocs (15)
  4. MSK Grad Students (12)
  5. Center for Pancreatic Cancer Research (9)
  6. DigITs Research Group (4)

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People
  1. Peter Schueffler (9)
  2. Chad Vanderbilt (7)
  3. Gabriele Campanella (7)
  4. David Klimstra (5)
  5. Dig Vijay Kumar Yarlagadda (5)
  6. Matthew Hanna (5)

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Years
  1. 2025 (1)
  2. 2022 (2)
  3. 2021 (6)
  4. 2020 (5)
  5. 2019 (5)
  6. 2018 (4)

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Publications
  1. Modern Pathology (5)
  2. Lecture Notes in Computer Science (4)
  3. Computerized Medical Imaging and Graphics (3)
  4. Journal of Pathology Informatics (2)
  5. Proceedings of Machine Learning Research (2)
  6. Academic Radiology (1)

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Publishers
  1. Nature Research (5)
  2. Springer (5)
  3. Nature Publishing Group (4)
  4. Elsevier Inc. (3)
  5. Elsevier Science, Inc. (3)
  6. Journal Machine Learning Research (2)

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Results (29)

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  • Semiautomatic assessment of the terminal ileum and colon in patients with Crohn disease using MRI (The VIGOR++ project)
    Journal Article

    Puylaert, C. A. J.; Schüffler, P. J.; Naziroglu, R. E.; Tielbeek, J. A. W.; Li, Z.; Makanyanga, J. C.; Tutein Nolthenius, C. J.; Nio, C. Y.; Pendsé, D. A.; Menys, A.; more...
    Academic Radiology (2018)

    Fulltext@MSK | Save
  • Generation of realistic (in silico) histopathologic images using generative models based on deep neural networks
    Meeting Abstract

    Benhamida, J.; Rajanna, A.; Sirintrapun, S. J.; Fuchs, T.
    Modern Pathology (2018)

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  • Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology
    Journal Article

    Campanella, G.; Rajanna, A. R.; Corsale, L.; Schüffler, P. J.; Yagi, Y.; Fuchs, T. J.
    Computerized Medical Imaging and Graphics (2018)

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  • Hybrid deep learning on single wide-field optical coherence tomography scans accurately classifies glaucoma suspects
    Journal Article

    Muhammad, H.; Fuchs, T. J.; De Cuir, N.; De Moraes, C. G.; Blumberg, D. M.; Liebmann, J. M.; Ritch, R.; Hood, D. C.
    Journal of Glaucoma (2017)

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  • Computational pathology
    Book Section

    Schüffler, P. J.; Zhong, Q.; Wild, P. J.; Fuchs, T. J.
    In Haybaeck, J. (Eds.) Mechanisms of Molecular Carcinogenesis (2017)

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  • DeepScope: Nonintrusive whole slide saliency annotation and prediction from pathologists at the microscope
    Conference Paper

    Schaumberg, A. J.; Sirintrapun, S. J.; Al-Ahmadie, H. A.; Schüffler, P. J.; Fuchs, T. J.
    Springer (2017)

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  • Autonomous terrain classification with co-and self-training approach
    Journal Article

    Otsu, K.; Ono, M.; Fuchs, T. J.; Baldwin, I.; Kubota, T.
    IEEE Robotics and Automation Letters (2016)

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  • Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity
    Journal Article

    Zhong, Q.; Rüschoff, J. H.; Guo, T.; Gabrani, M.; Schüffler, P. J.; Rechsteiner, M.; Liu, Y.; Fuchs, T. J.; Rupp, N. J.; Fankhauser, C.; more...
    Scientific Reports (2016)

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  • Machine learning approaches to analyze histological images of tissues from radical prostatectomies
    Journal Article

    Gertych, A.; Ing, N.; Ma, Z.; Fuchs, T. J.; Salman, S.; Mohanty, S.; Bhele, S.; Velásquez-Vacca, A.; Amin, M. B.; Knudsen, B. S.
    Computerized Medical Imaging and Graphics (2015)

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