Publications of John-Melle Bokhorst

2024

Papers in international journals

  1. J. Bogaerts, M. Steenbeek, J. Bokhorst, M. van Bommel, L. Abete, F. Addante, M. Brinkhuis, A. Chrzan, F. Cordier, M. Devouassoux-Shisheboran, J. Fernández-Pérez, A. Fischer, C. Gilks, A. Guerriero, M. Jaconi, T. Kleijn, L. Kooreman, S. Martin, J. Milla, N. Narducci, C. Ntala, V. Parkash, C. de Pauw, J. Rabban, L. Rijstenberg, R. Rottscholl, A. Staebler, K. de Van Vijver, G. Zannoni, M. van Zanten, AI-STIC Study Group, J. de Hullu, M. Simons and J. van der Laak, "Assessing the impact of deep-learning assistance on the histopathological diagnosis of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes", Journal of Pathology: Clinical Research, 2024;10(6):e70006.
    DOI PMID
  2. P. Vendittelli, J. Bokhorst, E. Smeets, V. Kryklyva, L. Brosens, C. Verbeke and G. Litjens, "Automatic quantification of tumor-stroma ratio as a prognostic marker for pancreatic cancer", PLOS ONE, 2024;19:e0301969.
    Abstract DOI PMID
  3. H. Dawson, J. Bokhorst, L. Studer, M. Vieth, A. Oguz Erdogan, S. Kus Öztürk, R. Kirsch, S. Brockmoeller, G. Cathomas, R. Buslei, D. Fink, M. Roumet, I. Zlobec, J. van der Laak, I. Nagtegaal and A. Lugli, "Lymph node metastases and recurrence in pT1 colorectal cancer: Prediction with the International Budding Consortium Score--A retrospective, multi-centric study", United European Gastroenterology Journal, 2024;12:299-308.
    Abstract DOI PMID
  4. T. Haddad, J. Bokhorst, M. Berger, L. Dobbelsteen, F. Simmer, F. Ciompi, J. Galon, J. Laak, F. Pagès, I. Zlobec, A. Lugli and I. Nagtegaal, "Combining immunoscore and tumor budding in colon cancer: an insightful prognostication based on the tumor-host interface", Journal of Translational Medicine, 2024;22.
    Abstract DOI
  5. J. Bogaerts, J. Bokhorst, M. Simons, M. van Bommel, M. Steenbeek, J. de Hullu, J. Linmans, J. Bart, J. Bentz, T. Bosse, J. Bulten, Y. Chien, M. Desouki, R. Lastra, T. Numan, J. Schoolmeester, L. Schwartz, I. Shih, T. Soong, G. Turashvili, R. Vang, M. Volchek and J. van der Laak, "Deep learning detects premalignant lesions in the Fallopian tube", npj Women's Health, 2024;2.
    DOI

Papers in conference proceedings

  1. C. Lems, D. Geijs, J. Bokhorst, M. Sülter, L. van Eekelen and F. Ciompi, "Color Deconvolution for Color-Agnostic and Cross-Modality Analysis of Immunohistochemistry Whole-Slide Images with Deep Learning", 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024:1-4.
    DOI

PhD theses

  1. J. Bokhorst, "Hidden in plain sight. Automatic detection of tumor budding in digital pathology images of colorectal cancer", PhD thesis, 2024.
    Abstract Url