Shaheer U. Saeed
Orcid: 0000-0002-5004-0663
According to our database1,
Shaheer U. Saeed
authored at least 30 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Competing for Pixels: A Self-Play Algorithm for Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., February, 2025
2024
The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy.
Int. J. Comput. Assist. Radiol. Surg., June, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Segmentation by Registration-Enabled SAM Prompt Engineering Using Five Reference Images.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Biomechanics-Informed Non-rigid Medical Image Registration and its Inverse Material Property Estimation with Linear and Nonlinear Elasticity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Weakly Supervised Localisation of Prostate Cancer Using Reinforcement Learning for Bi-Parametric MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration.
Medical Image Anal., December, 2023
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion.
Proceedings of the Medical Imaging with Deep Learning, 2023
Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Image quality assessment for machine learning tasks using meta-reinforcement learning.
Medical Image Anal., 2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation.
CoRR, 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
Proceedings of the Cancer Prevention Through Early Detection, 2022
2021
Adaptable Image Quality Assessment Using Meta-Reinforcement Learning of Task Amenability.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Development and Evaluation of Intraoperative Ultrasound Segmentation with Negative Image Frames and Multiple Observer Labels.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
Dataset, November, 2020
J. Open Source Softw., 2020
CoRR, 2020
Prostate Motion Modelling Using Biomechanically-Trained Deep Neural Networks on Unstructured Nodes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020