Monika Grewal

According to our database, Monika Grewal authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Multi-Objective Learning for Deformable Image Registration.

Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten

CoRR, 2024

2023

Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.

Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten

CoRR, 2023

Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.

Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten

Proceedings of the Medical Imaging with Deep Learning, 2023

Multi-objective Learning Using HV Maximization.

Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

Mixed-block neural architecture search for medical image segmentation.

Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration.

Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten

CoRR, 2021

Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.

Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman

CoRR, 2021

2020

An end-to-end deep learning approach for landmark detection and matching in medical images.

Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten

Proceedings of the Medical Imaging 2020: Image Processing, 2020

2018

RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans.

Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs.

Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava

Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

2017

Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks.

Srikrishna Varadarajan, Muktabh Mayank Srivastava, Monika Grewal, Pulkit Kumar

CoRR, 2017