Anne‐Marie Vos

ORCID: 0000-0003-3926-7282
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Gastric Cancer Management and Outcomes
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Cancer-related Molecular Pathways
  • AI in cancer detection
  • Heterotopic Ossification and Related Conditions
  • Gastrointestinal Tumor Research and Treatment
  • TGF-β signaling in diseases
  • Artificial Intelligence in Healthcare and Education
  • Helicobacter pylori-related gastroenterology studies
  • Esophageal Cancer Research and Treatment
  • Genetic factors in colorectal cancer
  • MRI in cancer diagnosis
  • Esophageal and GI Pathology
  • Medical Imaging and Pathology Studies
  • Prostate Cancer Diagnosis and Treatment
  • Thyroid Cancer Diagnosis and Treatment
  • Parathyroid Disorders and Treatments

Radboud University Nijmegen
2020-2024

Radboud University Medical Center
2020-2024

University of Groningen
1991

The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at grading. However, of such degrade in presence artifacts, foreign tissue, or other anomalies. Pathologists integrating their expertise with feedback an AI system could result a synergy that outperforms both individual pathologist and system. Despite...

10.1038/s41379-020-0640-y article EN cc-by Modern Pathology 2020-08-05

Oesophageal adenocarcinomas may show different histopathological patterns, including excessive acellular mucin pools, signet-ring cells (SRCs), and poorly cohesive (PCCs). These components have been suggested to correlate with poor outcomes after neoadjuvant chemoradiotherapy (nCRT), which might influence patient management. However, these factors not studied independently of each other adjustment for tumour differentiation grade (i.e. the presence well-formed glands), is a possible...

10.1002/cjp2.321 article EN cc-by-nc-nd The Journal of Pathology Clinical Research 2023-03-27

Introduction Targeted therapy against tumor angiogenesis is widely used in clinical practice for patients with colorectal liver metastases (CRLM). Possible predictive biomarkers angiogenesis, such as, microvessel density (MVD), hypoxia and cell proliferation, can be determined using immunohistochemical staining. However, ineligible surgical treatment need to undergo invasive diagnostic interventions order determine these biomarkers. CT perfusion (CTP) an emerging functional imaging...

10.1371/journal.pone.0245764 article EN cc-by PLoS ONE 2021-01-26
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