Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study
2021 · Clinical & Experimental Metastasis · 40 citations
https://doi.org/10.1007/s10585-021-10119-6
J
Jacob J. Visser
Erasmus MC(NL)
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Jacob J. Visser is an academic researcher from Erasmus MC. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Artificial Intelligence in Healthcare and Education & Radiology practices and education. The author has an h-index of 22, co-authored 76 publications.
ORCID: 0000-0001-9935-2097Papers by this author
worksRadiology in the Era of Value-Based Healthcare: A Multi Society Expert Statement From the ACR, CAR, ESR, IS3R, RANZCR, and RSNA
2020 · Journal of the American College of Radiology · 29 citations
https://doi.org/10.1016/j.jacr.2020.12.003
ESR Essentials: radiomics—practice recommendations by the European Society of Medical Imaging Informatics
2024 · European Radiology · 27 citations
https://doi.org/10.1007/s00330-024-11093-9
Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics
2020 · European Journal of Radiology · 21 citations
https://doi.org/10.1016/j.ejrad.2020.109266
Radiology AI Deployment and Assessment Rubric (RADAR) to bring value-based AI into radiological practice
2024 · Insights into Imaging · 21 citations
https://doi.org/10.1186/s13244-023-01599-z
Comparing two artificial intelligence software packages for normative brain volumetry in memory clinic imaging
2022 · Neuroradiology · 17 citations
https://doi.org/10.1007/s00234-022-02898-w
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