Wiro J. Niessen

Amsterdam Neuroscience — Netherlands

Computer Science · Physical Sciences

94h-index39.3kcitations892works4.92yr avg
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Research Topics

Medical Image Segmentation Techniques(229), Cerebrovascular and Carotid Artery Diseases(161), Advanced MRI Techniques and Applications(136), Advanced Neuroimaging Techniques and Applications(116), Radiomics and Machine Learning in Medical Imaging(111)

Publications880 total

The 4D Human Embryonic Brain Atlas: Spatiotemporal atlas generation for rapid anatomical changes
Computerized Medical Imaging and Graphics·2026Open Access
Therapy Response Prediction in Patients with Metastatic Soft Tissue Sarcomas Using CT based Delta Radiomics
2025Open Access
Evaluating Open-Weight Large Language Models for Structured Data Extraction from Narrative Medical Reports Across Multiple Use Cases and Languages
arXiv (Cornell University)·2025· 1 citedOpen Access
Estimation and integration of 3D PS-InSAR data for enhanced structural health interpretation using BIM-based models
2025
Detecting genetic interactions with visible neural networks
Communications Biology·2025· 2 citedOpen Access
Segmentation‐assisted vessel centerline extraction from cerebral CT Angiography
Medical Physics·2025· 1 citedOpen Access
Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence.
PubMed·2025· 1 citedOpen Access
AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines
EBioMedicine·2025· 12 citedOpen Access
Changes in Cerebral Hemodynamics and Progression of Subclinical Vascular Brain Disease: A Population-Based Cohort Study
Stroke·2024· 3 citedOpen Access
Minimally interactive segmentation of soft-tissue tumors on CT and MRI using deep learning
European Radiology·2024· 5 citedOpen Access
Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRI
EClinicalMedicine·2024· 6 citedOpen Access
AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines
arXiv (Cornell University)·2024· 1 citedOpen Access
Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data
npj Systems Biology and Applications·2024· 15 citedOpen Access
Designing interpretable deep learning applications for functional genomics: a quantitative analysis
Briefings in Bioinformatics·2024· 19 citedOpen Access
Automatic Human Embryo Volume Measurement in First Trimester Ultrasound From the Rotterdam Periconception Cohort: Quantitative and Qualitative Evaluation of Artificial Intelligence (Preprint)
2024· 1 cited
Quantifying dysmorphologies of the neurocranium using artificial neural networks
Journal of Anatomy·2024· 7 citedOpen Access
Genetic variants for head size share genes and pathways with cancer
Cell Reports Medicine·2024· 10 citedOpen Access
CAVE: Cerebral artery–vein segmentation in digital subtraction angiography
Computerized Medical Imaging and Graphics·2024· 21 citedOpen Access
IEEE VR 2023 Conference Awards
2024Open Access
Detecting Genetic Interactions with Visible Neural Networks
2024· 3 citedOpen Access
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Frequent Co-authors

Meike W. Vernooij(23), M. Arfan Ikram(22), Aad van der Lugt(17), Albert Hofman(16), Monique M.B. Breteler(13), Gabriël P. Krestin(10), Max A. Viergever(7), Fedde van der Lijn(7), Theo van Walsum(6), Alejandro F. Frangi(5), Margaret J. Wright(5), Nicholas G. Martin(5), Paul M. Thompson(5), Henri A. Vrooman(5), Stefan Klein(5), Erik Meijering(5), Marius de Groot(5), Philippe Amouyel(5), Derrek P. Hibar(4), Katharina Wittfeld(4)