ResearcherErasmus MCActive in the last 2 years
John J. Hermans
Matched on ORCID iD 0000-0001-9207-0548; OpenAlex author ID A5013403284. Sources: OpenAlex.
Their work
- Papers
- 20 (first author 0, last author 6)
- Trials
- 0
- Grants
- 0
- Labs led
- 1
- Collaborators
- 63
2011: 1 paper · 2012: none · 2013: none · 2014: none · 2015: none · 2016: 1 paper · 2017: none · 2018: none · 2019: 3 papers · 2020: 1 paper · 2021: 1 paper · 2022: 3 papers · 2023: 2 papers · 2024: 3 papers · 2025: 4 papers · 2026: 1 paper
Papers 20
- Artificial intelligence and radiologists in pancreatic cancer detection using standard of care CT scans (PANORAMA): an international, paired, non-inferiority, … Co-author DOI 10.1016/s1470-2045(25)00567-4↗
- End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. Co-author DOI 10.1007/s00330-025-11694-y↗
- Contrast agent dispersion visualized by CE-EUS may be a prediction tool for FOLFIRINOX chemotherapy effectiveness in patients with pancreatic adenocarcinoma. Co-author DOI 10.1016/j.pan.2025.01.011↗
- A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational study. Co-author DOI 10.1136/gutjnl-2024-334237↗
- Intratumoral Holmium-166 Microsphere Injection in Patients with Unresectable Pancreatic Ductal Adenocarcinoma: A Single-Center, Single-Arm, Open-Label Feasibil… Co-author DOI 10.1159/000545246↗
- Qualitative flow metabolic phenotype of pancreatic cancer. A new prognostic biomarker? Last author DOI 10.1016/j.hpb.2023.11.010↗
- Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma. Co-author DOI 10.3390/cancers16030577↗
- Limited Role of the Apparent Diffusion Coefficient (ADC) for Tumor Grade and Overall Survival in Resectable Pancreatic Ductal Adenocarcinoma. Last author DOI 10.3390/diagnostics14060573↗
- Nationwide evaluation of pancreatic cancer networks ten years after the centralization of pancreatic surgery. Co-author DOI 10.1016/j.hpb.2023.07.904↗
- Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. Co-author DOI 10.1053/j.gastro.2023.04.003↗
- Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review. Last author DOI 10.1007/s00261-021-03190-w↗
- Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. Co-author DOI 10.3390/cancers14020376↗
- Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. Last author DOI 10.3390/cancers14143498↗
- Treatment strategies and clinical outcomes in consecutive patients with locally advanced pancreatic cancer: A multicenter prospective cohort. Co-author DOI 10.1016/j.ejso.2020.11.137↗
- Diagnostic accuracy of contrast-enhanced diffusion-weighted MRI for liver metastases of pancreatic cancer: towards adequate staging and follow-up of pancreatic… Last author DOI 10.1186/s12885-020-07226-0↗
- Improving preoperative detection of synchronous liver metastases in pancreatic cancer with combined contrast-enhanced and diffusion-weighted MRI. Last author DOI 10.1007/s00261-018-1867-7↗
- Postoperative surveillance of pancreatic cancer patients. Co-author DOI 10.1016/j.ejso.2019.05.031↗
- Optimal respiratory-gated [18F]FDG PET/CT significantly impacts the quantification of metabolic parameters and their correlation with overall survival in patie… Co-author DOI 10.1186/s13550-019-0492-y↗
- A multicentre comparative prospective blinded analysis of EUS and MRI for screening of pancreatic cancer in high-risk individuals. Co-author DOI 10.1136/gutjnl-2014-308008↗
- Role of endoscopic ultrasonography in patients suspected of pancreatic cancer with negative helical MDCT scan. Co-author DOI 10.1159/000334074↗
Closest collaborators
The 25 strongest of 63 by collab_strength@1: shared papers, trials and grants, recent and small-team work weighing most.
- HenkJan J. Huisman · 6 shared papers, 2022–2025 · strength 1.30
- Paper Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma. DOI 10.3390/cancers16030577↗
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- Natália Alves · 5 shared papers, 2022–2025 · strength 1.11
- Paper Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma. DOI 10.3390/cancers16030577↗
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- Cees J. H. M. van Laarhoven · 6 shared papers, 2019–2025 · strength 1.06
- Paper Limited Role of the Apparent Diffusion Coefficient (ADC) for Tumor Grade and Overall Survival in Resectable Pancreatic … DOI 10.3390/diagnostics14060573↗
- Paper Intratumoral Holmium-166 Microsphere Injection in Patients with Unresectable Pancreatic Ductal Adenocarcinoma: A Single… DOI 10.1159/000545246↗
- Paper Qualitative flow metabolic phenotype of pancreatic cancer. A new prognostic biomarker? DOI 10.1016/j.hpb.2023.11.010↗
- Megan Schuurmans · 5 shared papers, 2022–2025 · strength 1.03
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational stud… DOI 10.1136/gutjnl-2024-334237↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- Martijn W.J. Stommel · 5 shared papers, 2019–2025 · strength 0.83
- Paper Limited Role of the Apparent Diffusion Coefficient (ADC) for Tumor Grade and Overall Survival in Resectable Pancreatic … DOI 10.3390/diagnostics14060573↗
- Paper Intratumoral Holmium-166 Microsphere Injection in Patients with Unresectable Pancreatic Ductal Adenocarcinoma: A Single… DOI 10.1159/000545246↗
- Paper Nationwide evaluation of pancreatic cancer networks ten years after the centralization of pancreatic surgery. DOI 10.1016/j.hpb.2023.07.904↗
- T. H. Perik · 3 shared papers, 2022–2025 · strength 0.74
- Paper Automated Quantitative Analysis of CT Perfusion to Classify Vascular Phenotypes of Pancreatic Ductal Adenocarcinoma. DOI 10.3390/cancers16030577↗
- Paper Contrast agent dispersion visualized by CE-EUS may be a prediction tool for FOLFIRINOX chemotherapy effectiveness in pa… DOI 10.1016/j.pan.2025.01.011↗
- Paper Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review. DOI 10.1007/s00261-021-03190-w↗
- Deniece Rivière · 4 shared papers, 2019–2024 · strength 0.70
- Paper Limited Role of the Apparent Diffusion Coefficient (ADC) for Tumor Grade and Overall Survival in Resectable Pancreatic … DOI 10.3390/diagnostics14060573↗
- Paper Qualitative flow metabolic phenotype of pancreatic cancer. A new prognostic biomarker? DOI 10.1016/j.hpb.2023.11.010↗
- Paper Diagnostic accuracy of contrast-enhanced diffusion-weighted MRI for liver metastases of pancreatic cancer: towards adeq… DOI 10.1186/s12885-020-07226-0↗
- Núria Malats · 3 shared papers, 2023–2025 · strength 0.64
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational stud… DOI 10.1136/gutjnl-2024-334237↗
- Paper Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. DOI 10.1053/j.gastro.2023.04.003↗
- Pierpaolo Vendittelli · 3 shared papers, 2022–2025 · strength 0.62
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Setting the Research Agenda for Clinical Artificial Intelligence in Pancreatic Adenocarcinoma Imaging. DOI 10.3390/cancers14143498↗
- Paper Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. DOI 10.1053/j.gastro.2023.04.003↗
- Lodewijk A.A. Brosens · 3 shared papers, 2020–2024 · strength 0.59
- Paper Limited Role of the Apparent Diffusion Coefficient (ADC) for Tumor Grade and Overall Survival in Resectable Pancreatic … DOI 10.3390/diagnostics14060573↗
- Paper Qualitative flow metabolic phenotype of pancreatic cancer. A new prognostic biomarker? DOI 10.1016/j.hpb.2023.11.010↗
- Paper Diagnostic accuracy of contrast-enhanced diffusion-weighted MRI for liver metastases of pancreatic cancer: towards adeq… DOI 10.1186/s12885-020-07226-0↗
- Geke Litjens · 3 shared papers, 2020–2025 · strength 0.55
- Paper Contrast agent dispersion visualized by CE-EUS may be a prediction tool for FOLFIRINOX chemotherapy effectiveness in pa… DOI 10.1016/j.pan.2025.01.011↗
- Paper Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. DOI 10.3390/cancers14020376↗
- Paper Diagnostic accuracy of contrast-enhanced diffusion-weighted MRI for liver metastases of pancreatic cancer: towards adeq… DOI 10.1186/s12885-020-07226-0↗
- Erik H.J.G. Aarntzen · 3 shared papers, 2019–2024 · strength 0.50
- Paper Qualitative flow metabolic phenotype of pancreatic cancer. A new prognostic biomarker? DOI 10.1016/j.hpb.2023.11.010↗
- Paper Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review. DOI 10.1007/s00261-021-03190-w↗
- Paper Optimal respiratory-gated [18F]FDG PET/CT significantly impacts the quantification of metabolic parameters and their co… DOI 10.1186/s13550-019-0492-y↗
- Nannan Xue · 2 shared papers, 2025 · strength 0.46
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational stud… DOI 10.1136/gutjnl-2024-334237↗
- Erwin J. M. van Geenen · 3 shared papers, 2019–2024 · strength 0.44
- Paper Qualitative flow metabolic phenotype of pancreatic cancer. A new prognostic biomarker? DOI 10.1016/j.hpb.2023.11.010↗
- Paper Diagnostic accuracy of contrast-enhanced diffusion-weighted MRI for liver metastases of pancreatic cancer: towards adeq… DOI 10.1186/s12885-020-07226-0↗
- Paper Improving preoperative detection of synchronous liver metastases in pancreatic cancer with combined contrast-enhanced a… DOI 10.1007/s00261-018-1867-7↗
- Geert J. S. Litjens · 2 shared papers, 2023–2025 · strength 0.41
- Paper End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study. DOI 10.1007/s00330-025-11694-y↗
- Paper Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications. DOI 10.1053/j.gastro.2023.04.003↗
- David Kuang-Fu Chang · 2 shared papers, 2023–2024 · strength 0.40
- Marc G. Besselink · 3 shared papers, 2019–2023 · strength 0.32
- Paper Nationwide evaluation of pancreatic cancer networks ten years after the centralization of pancreatic surgery. DOI 10.1016/j.hpb.2023.07.904↗
- Paper Postoperative surveillance of pancreatic cancer patients. DOI 10.1016/j.ejso.2019.05.031↗
- Paper Treatment strategies and clinical outcomes in consecutive patients with locally advanced pancreatic cancer: A multicent… DOI 10.1016/j.ejso.2020.11.137↗
- Martin Gotthardt · 2 shared papers, 2019–2024 · strength 0.32
- Coen Ysbrand Willink · 1 shared paper, 2025 · strength 0.26
- J. Frank W. Nijsen · 1 shared paper, 2025 · strength 0.26
- Fons van der Sommen · 1 shared paper, 2025 · strength 0.25
- Peter Derk Siersema · 1 shared paper, 2025 · strength 0.25
- Mike J.P. de Jong · 1 shared paper, 2025 · strength 0.25
- Lois A. Daamen · 2 shared papers, 2019–2023 · strength 0.24
- Gijs A. Patijn · 2 shared papers, 2021–2023 · strength 0.24
- Paper Nationwide evaluation of pancreatic cancer networks ten years after the centralization of pancreatic surgery. DOI 10.1016/j.hpb.2023.07.904↗
- Paper Treatment strategies and clinical outcomes in consecutive patients with locally advanced pancreatic cancer: A multicent… DOI 10.1016/j.ejso.2020.11.137↗
How to reach this person
A chain of introductions through people who have published, run trials or held grants together (warm_path@1: fewest links first, then the strongest). Built from public records only; no contact details are kept.