Michel Kok

ORCID: 0000-0003-4100-916X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • COVID-19 diagnosis using AI
  • Radiomics and Machine Learning in Medical Imaging
  • Head and Neck Cancer Studies
  • Mineral Processing and Grinding
  • Artificial Intelligence in Healthcare and Education
  • Soil Geostatistics and Mapping
  • AI in cancer detection
  • Lung Cancer Diagnosis and Treatment
  • Smart Agriculture and AI

HumanTotalCare (Netherlands)
2024

Radboud University Nijmegen
2020

Radboud University Medical Center
2020

University Medical Center
2020

Gaustad Hospital
2020

Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarming speed, morbidity, and mortality. Immediate triage of patients chest infections suspected to be caused by COVID-19 using CT may assistance when results from definitive viral testing are delayed. Purpose To develop validate an artificial intelligence (AI) system score likelihood extent pulmonary on scans Reporting Data System (CO-RADS) severity scoring systems. Materials Methods CO-RADS AI...

10.1148/radiol.2020202439 article EN Radiology 2020-07-30

Recently, large, high-quality public datasets have led to the development of convolutional neural networks that can detect lymph node metastases breast cancer at level expert pathologists. Many cancers, regardless site origin, metastasize nodes. However, collecting and annotating high-volume, for every type is challenging. In this paper we investigate how leverage existing most efficiently in multi-task settings closely related tasks. Specifically, will explore different training domain...

10.1016/j.media.2023.102755 article EN cc-by Medical Image Analysis 2023-01-25

Soil health is essential to global sustainable food production. Beyond its role in production, soil also plays a crucial maintaining ecosystem and mitigating climate change. Monitoring improving the of agricultural soils requires insight into spatial variation properties associated functions. Measuring this via classic sampling analysis on field, regional or scale challenging due high variability inherent lack affordable reliable measurement methods. We present here novel worldwide...

10.1016/j.geoderma.2024.116903 article EN cc-by Geoderma 2024-05-15

Background: COVID-19 is an ongoing pandemic with dramatic consequences for both caretakers and patients. Upon contracting infection, patients, even without pre-existing medical conditions, may rapidly deteriorate to life-threatening respiratory failure death. To date, prediction models that accurately predict severity clinical prognosis in infection are validated European cohort outside Italy, lacking. Methods: In this single-center study, patients presented PCR proven from 5th of March 2020...

10.2139/ssrn.3627260 article EN SSRN Electronic Journal 2020-01-01
Coming Soon ...