Monika Grewal

16 papers B 2C 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Multi-Objective Learning for Deformable Image Registration.
MIDL
Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2024 J jnl
Multi-Objective Learning for Deformable Image Registration.
CoRR
Monika Grewal, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2023 J jnl
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
CoRR
Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2023 — conf
Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations.
MIDL
Monika Grewal, Dustin van Weersel, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2023 C conf
Multi-objective Learning Using HV Maximization.
EMO
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
2022 J jnl
Mixed-Block Neural Architecture Search for Medical Image Segmentation.
CoRR
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2022 B conf
Mixed-block neural architecture search for medical image segmentation.
Image Processing
Martijn M. A. Bosma, Arkadiy Dushatskiy, Monika Grewal, Tanja Alderliesten, Peter A. N. Bosman
2021 J jnl
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration.
CoRR
Monika Grewal, Jan Wiersma, Henrike Westerveld, Peter A. N. Bosman, Tanja Alderliesten
2021 J jnl
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization.
CoRR
Timo M. Deist, Monika Grewal, Frank J. W. M. Dankers, Tanja Alderliesten, Peter A. N. Bosman
2020 J jnl
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images.
CoRR
Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
2020 B conf
An end-to-end deep learning approach for landmark detection and matching in medical images.
Image Processing
Monika Grewal, Timo M. Deist, Jan Wiersma, Peter A. N. Bosman, Tanja Alderliesten
2018 — conf
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs.
ICIAR
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
2018 — conf
RADnet: Radiologist level accuracy using deep learning for hemorrhage detection in CT scans.
ISBI
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan
2017 J jnl
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks.
CoRR
Srikrishna Varadarajan, Muktabh Mayank Srivastava, Monika Grewal, Pulkit Kumar
2017 J jnl
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs.
CoRR
Pulkit Kumar, Monika Grewal, Muktabh Mayank Srivastava
2017 J jnl
RADNET: Radiologist Level Accuracy using Deep Learning for HEMORRHAGE detection in CT Scans.
CoRR
Monika Grewal, Muktabh Mayank Srivastava, Pulkit Kumar, Srikrishna Varadarajan