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A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going2024 Biomedical Signal Processing and Control article Engineering Soft Robotics and Applications Open access
Di Wu, Renchi Zhang, Ameya Pore, Diego Dall’Alba, Xuan Thao Ha, Zhen Li, +11 more
27citations -
Efficient Malicious Traffic Classification Methods based on Semi-supervised Learning2022 International Conference on Dependable Systems and Their Applications (DSA) conference-paper Computer Science Network Security and Intrusion Detection
Xiaoyi Hu, Jie Yin, Jie Yang, Bamidele Adebisi, Haris Gacanin
2citations -
QuadAI at SemEval-2026 Task 3: Ensemble Learning of Hybrid RoBERTa and LLMs for Dimensional Aspect-Based Sentiment Analysis2026 International Workshop on Semantic Evaluation (SemEval) conference-paper Computer Science Sentiment Analysis and Opinion Mining Open access
A. J. W. de Vink, Filippos Ventirozos, Natalia Amat‐Lefort, Lifeng Han
0citations -
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma2024 Scientific Reports article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Laurens S. ter Maat, Rob A. J. de Mooij, Isabella A.J. van Duin, Joost J.C. Verhoeff, Sjoerd Geert Elias, Tim Leiner, +20 more
2citations -
A blended learning for general practitioners and nurses on skills to support shared decision-making with patients about palliative cancer treatment: A one-group pre-posttest study2023 Patient Education and Counseling article Medicine Palliative Care and End-of-Life Issues Open access
Danique W. Bos – van den Hoek, Ellen M. A. Smets, Rania Ali, Monique C.M. Baas-Thijssen, Hanna Bomhof‐Roordink, Charles W. Helsper, +4 more
14citations -
CT radiomics compared to a clinical model for predicting checkpoint inhibitor treatment outcomes in patients with advanced melanoma2023 European Journal of Cancer article Medicine Radiomics and Machine Learning in Medical Imaging Open access
Laurens S. ter Maat, Isabella A.J. van Duin, Sjoerd Geert Elias, Tim Leiner, Joost J.C. Verhoeff, E.R.A.N. Arntz, +17 more
11citations -
Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks97citations
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Real-Time Quality Control in Thin Glass Forming Using Infrared Thermography and Deep Learning2022 Key engineering materials article Engineering Industrial Vision Systems and Defect Detection Open access
Anh Tuan Vu, Paul Alexander Vogel, Abimathi Siva Subramanian, Tim Grunwald, Thomas Bergs
4citations -
Predicting targeted therapy resistance in non-small cell lung cancer using multimodal machine learning2025 Journal of Thoracic Disease article Medicine Lung Cancer Treatments and Mutations Open access cited by 1 patent
Peiying Hua, Andrea M. Olofson, Faraz Farhadi, Liesbeth M. Hondelink, Gregory Tsongalis, Konstantin H. Dragnev, +4 more
11citations -
Predicting ICU Mortality in Acute Respiratory Distress Syndrome Patients Using Machine Learning: The Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Study*
Jesús Villar, Jesús María González-Martín, Jerónimo Hernández-González, Miguel Ángel Armengol de la Hoz, Cristina Fernández, Carmen Martín-Rodríguez, +14 more
52citations -
Recurrent neural networks as a physics-based self-learning solver to satisfy plane stress viscoplasticity undergoing isotropic damage2024 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks Open access
Saurabh Balkrishna Tandale, Vasileios Polydoras, Marcus Stoffel
3citations -
Decentralized Distributed Multi-institutional PET Image Segmentation Using a Federated Deep Learning Framework2022 Clinical Nuclear Medicine article Computer Science Medical Image Segmentation Techniques Open access
Isaac Shiri, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, +9 more
53citations