Monika Grewal

Full Name

M. Grewal

Monika.Grewal@cwi.nl

Phone

+31 20 592 4364

Room

M267

Department(s)

Evolutionary Intelligence

Function(s)

PhD student

Biography

Monika Grewal completed her master's degree in Electronics & Communication Engineering from JIIT, India. She has a background in neuroimaging research, digital signal and image processing. Before joining her Ph.D. at CWI, she worked on projects aiming to detect pathologies in brain CT scan images using deep learning techniques. Apart from science, she loves to discuss random topics, eat sweets, and cook Indian food.

Deist, T.M, Grewal, M, Dankers, F.J.W.M, Alderliesten, T, & Bosman, P.A.N. (2023). Multi-objective learning using HV maximization. In International Conference on Evolutionary Multi-Criterion Optimization, EMO 2023 (pp. 103–117). doi:10.1007/978-3-031-27250-9_8
Grewal, M, Wiersma, J, Westerveld, H, Bosman, P.A.N, & Alderliesten, T. (2023). Automatic landmark correspondence detection in medical images with an application to deformable image registration. Journal of Medical Imaging, 10(1), 014007.1–014007.27. doi:10.1117/1.JMI.10.1.014007
Bosma, M.M.A, Dushatskiy, A, Grewal, M, Alderliesten, T, & Bosman, P.A.N. (2022). Mixed-block neural architecture search for medical image segmentation. In Medical Imaging 2022: Image Processing. doi:10.1117/12.2611428
Grewal, M, Deist, T.M, Wiersma, J, Bosman, P.A.N, & Alderliesten, T. (2020). An end-to-end deep learning approach for landmark detection and matching in medical images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. doi:10.1117/12.2549302

Multi-Objective Deformable Image Registration (MODIR) – An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with (MODIR)

Monika Grewal

Biography

Publications

Current projects with external funding

Monika Grewal

Biography

Publications

Current projects with external funding

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