Predicting response to neoadjuvant therapy using artificial intelligence on digitized histopathology slides: a systematic review
Soogyeong Shin, Koen Kwakkenbos, Denise E. Hilling, Andrew P. Stubbs et autres
0 citationsnpj Digital Medicine
Jifke F. Veenland
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70Publications signalées
2087Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Radiomics and Machine Learning in Medical ImagingAdvanced MRI Techniques and ApplicationsMRI in cancer diagnosisAI in cancer detectionCraniofacial Disorders and Treatments
Publications récentes
Machine learning-based identification of high-risk triple-negative breast cancer patients despite pathological complete response after neoadjuvant chemotherapy
Koen Kwakkenbos, Nadine S. van den Ende, Bernadette A. M. Heemskerk‐Gerritsen, Jifke F. Veenland et autres
0 citationsnpj Breast Cancer
Advanced Digital Skills for Health Professionals: 20 Joint Learning Objectives
Minna Isomursu, Ornela Bardhi, Alexander Berler, Ioanna Chouvarda et autres
1 citationStudies in health technology and informatics
Using Artificial Intelligence to Predict Intracranial Hypertension in Patients After Traumatic Brain Injury: A Systematic Review
S. T. van Hal, Mathieu van der Jagt, Michel E. van Genderen, Diederik Gommers et autres
19 citationsNeurocritical Care
Deep learning for improving ZTE MRI images in free breathing
D. Papp, Jose M. Castillo T., Piotr A. Wielopolski, Pierluigi Ciet et autres
7 citationsMagnetic Resonance Imaging
Health differences between adults with and without intellectual disabilities at the internal medicine department: A first step to improve awareness of intellectual disabilities among healthcare professionals
Anna G. W. Rosenberg, Wesley Langendoen, A. J. van der Lely, Jifke F. Veenland et autres
0 citationsEuropean Journal of Internal Medicine
Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics
Jose M. Castillo T., Muhammad Arif, Martijn P. A. Starmans, Wiro J. Niessen et autres
46 citationsCancers
Reproducible radiomics through automated machine learning validated on twelve clinical applications
Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, Milea J. M. Timbergen et autres
1 citationarXiv (Cornell University)
An automated machine learning framework to optimize radiomics model construction validated on twelve clinical applications
Martijn P. A. Starmans, Sebastian R. van der Voort, Thomas Phil, Milea J. M. Timbergen et autres
11 citationsarXiv (Cornell University)
New method for quantification of the relative severity and (a)symmetry of isolated metopic synostosis
Otto D. M. Kronig, Sophia A. J. Kronig, Henri A. Vrooman, Jifke F. Veenland et autres
12 citationsInternational Journal of Oral and Maxillofacial Surgery
A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade
Jose M. Castillo T., Martijn P. A. Starmans, Muhammad Arif, Wiro J. Niessen et autres
55 citationsDiagnostics
New diagnostic approach of the different types of isolated craniosynostosis
Sophia A. J. Kronig, Otto D. M. Kronig, Henri A. Vrooman, Jifke F. Veenland et autres
9 citationsEuropean Journal of Pediatrics
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