Dr Shaheer U. Saeed
Lecturer in Computational Biomedical Engineering
School of Engineering and Materials Science
Queen Mary University of London
Queen Mary University of London
Research
Computer-aided diagnosis, Medical image computing, Machine Learning, Artificial Intelligence (AI), Reinforcement Learning, Cancer Early Detection
Interests
Shaheer develops new AI methods to address core challenges in cancer imaging. His research focuses on creating smarter, more adaptable algorithms for identifying tumours, assessing image quality and guiding treatment. He is particularly interested in approaches that learn effectively from limited or imperfect data, and advancing algorithmic techniques that strengthen the reliability of automated image-based diagnosis. His research aims to shape future AI-assisted diagnosis and intervention.Publications
Publications of specific relevance to the Centre for Bioengineering2025
T2-only prostate cancer prediction by meta-learning from bi-parametric mr imagingYi W Wang Y Thorley N Ng A Punwani S Kasivisvanathan V Barratt DC Saeed SU et al.
2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) IEEE., 1-5.
01-01-2025
Conditional Image Synthesis Using Generative Diffusion Models: ApplicationSaeed SU Hu Y
Generative Machine Learning Models in Medical Image Computing, Springer Nature, 65-65.
01-01-2025
Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR imagesChen Y Ni S Saeed SU Ivanova A Hargunani R Huang J Liu C Hu Y
International Conference on Medical Image Computing and Computer-Assisted Intervention Springer Nature Switzerland Cham., 441-451.
01-01-2025
Guided ultrasound acquisition for nonrigid image registration using reinforcement learningSaeed SU Ramalhinho JA Monta na-Brown N Bonmati E Pereira SP Davidson B Clarkson MJ Hu Y
Medical Image Analysis, Elsevier vol. 102, 103555-103555.
01-01-2025
Promptable cancer segmentation using minimal expert-curated dataKaram L Wang Y Kasivisvanathan V Rusu M Hu Y Saeed SU
Annual Conference on Medical Image Understanding and Analysis Springer Nature Switzerland Cham., 44-58.
01-01-2025
SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver TumoursTan C Hu Y Saeed SU
Annual Conference on Medical Image Understanding and Analysis Springer Nature Switzerland Cham., 59-72.
01-01-2025
Quantitative analysis of uterine peristalsis on transvaginal sonography in women with adenomyosis using optical flow for motion quantification: inter-and intra-observer reproducibility studyLatif S Saeed SU Hu Y De Braud L Yasmin E Saridogan E Mavrelos D
Reproductive Biomedicine Online, Elsevier, 105073-105073.
01-01-2025
Radiomic fingerprints for knee MR images assessmentChen Y Ni S Saeed SU Ivanova A Hargunani R Huang J Liu C Hu Y
Arxiv Preprint Arxiv:2506.20306
01-01-2025
TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External TrackerLi Q Saeed SU Huang Y Luo M Yan Z Chen J Yang X Ni D et al.
Arxiv Preprint Arxiv:2506.21765
01-01-2025
Reasoning in machine vision: learning to think fast and slowSaeed SU Wang Y Kasivisvanathan V Davidson BR Clarkson MJ Hu Y Alexander DC
Arxiv Preprint Arxiv:2506.22075
01-01-2025
Policy to Assist Iteratively Local Segmentation: Optimising Modality and Location Selection for Prostate Cancer LocalisationWu X Saeed SU Wang Y Coll EB Hu Y
Arxiv Preprint Arxiv:2508.03953
01-01-2025
Cryo-RL: automating prostate cancer cryoablation planning with reinforcement learningSaeed SU others
01-01-2025
2024
Active learning using adaptable task-based prioritisationSaeed SU Ramalhinho JA Pinnock M Shen Z Fu Y Monta na-Brown N Bonmati E Barratt DC et al.
Medical Image Analysis, Elsevier vol. 95, 103181-103181.
01-01-2024
Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusionSaeed SU Syer T Yan W Yang Q Emberton M Punwani S Clarkson MJ Barratt D et al.
Medical imaging with deep learning PMLR., 814-828.
01-01-2024
Semi-weakly-supervised neural network training for medical image registrationLi Y Fu Y Gayo IJMB Yang Q Min Z Saeed SU Yan W Wang Y et al.
Arxiv Preprint Arxiv:2402.10728
01-01-2024
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR imagesPocius M Yan W Barratt DC Emberton M Clarkson MJ Hu Y Saeed SU
2024 IEEE International Symposium on Biomedical Imaging (ISBI) IEEE., 1-5.
01-01-2024
The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsyGayo IJMB Saeed SU Bonmati E Barratt DC Clarkson MJ Hu Y
International Journal of Computer Assisted Radiology and Surgery, Springer International Publishing Cham vol. 19, 1003-1012.
01-01-2024
One registration is worth two segmentationsHuang S Xu T Shen Z Saeed SU Yan W Barratt D Hu Y
International Conference on Medical Image Computing and Computer-Assisted Intervention Springer Nature Switzerland Cham., 665-675.
01-01-2024
Competing for pixels: a self-play algorithm for weakly-supervised segmentationSaeed SU Huang S Ramalhinho JA Gayo IJMB Monta na-Brown N Bonmati E Pereira SP Davidson B et al.
Arxiv Preprint Arxiv:2405.16628
01-01-2024
Biomechanics-informed non-rigid medical image registration and its inverse material property estimation with linear and nonlinear elasticityMin Z Baum ZMC Saeed SU Emberton M Barratt DC Taylor ZA Hu Y
International Conference on Medical Image Computing and Computer-Assisted Intervention Springer Nature Switzerland Cham., 564-574.
01-01-2024
P-304 Quantitative analysis of uterine peristalsis using optical flow for motion quantification in women with moderate/severe adenomyosis undergoing frozen-thawed embryo transfer following prolonged downregulation with GnRHanalogueLatif S Saeed SU Hu Y De Braud L Atik Y Yasmin E Saridogan E Mavrelos D
Human Reproduction, Oxford University Press vol. 39, deae108-671.
01-01-2024
Segmentation by registration-enabled sam prompt engineering using five reference imagesChen Y Ivanova A Saeed SU Hargunani R Huang J Liu C Hu Y
International Workshop on Biomedical Image Registration Springer Nature Switzerland Cham., 241-252.
01-01-2024
Competing for pixels: a self-play algorithm for weakly-supervised semantic segmentationSaeed SU Huang S Ramalhinho J Gayo IJMB Monta na-Brown N Bonmati E Pereira SP Davidson B et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE
01-01-2024
SAMReg: SAM-enabled image registration with ROI-based correspondenceHuang S Xu T Shen Z Saeed SU Yan W Barratt D Hu Y
Arxiv Preprint Arxiv:2410.14083
01-01-2024
Conditional Image Synthesis Using Generative Diffusion Models: Application to Pathological Prostate MR Image GenerationSaeed SU Hu Y
In Generative Machine Learning Models in Medical Image Computing, Springer Nature Switzerland Cham 65-82.
01-01-2024
Quantitative analysis of uterine peristalsis using optical flow for motion quantification in women with moderate/severe adenomyosis undergoing frozen-thawed embryo transfer following prolonged downregulation with GnRHanalogueLatif S Saeed SU Hu Y De Braud L Atik Y Yasmin E Saridogan E Mavrelos D
HUMAN REPRODUCTION OXFORD UNIV PRESS GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND. vol. 39, I338-I338.
01-01-2024
2023
Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registrationLi Y Fu Y Gayo IJMB Yang Q Min Z Saeed SU Yan W Wang Y et al.
Medical Image Analysis, Elsevier vol. 90, 102935-102935.
01-01-2023
Non-rigid medical image registration using physics-informed neural networksMin Z Baum ZMC Saeed SU Emberton M Barratt DC Taylor ZA Hu Y
International conference on information processing in medical imaging Springer Nature Switzerland Cham., 601-613.
01-01-2023
Importance of aligning training strategy with evaluation for diffusion models in 3d multiclass segmentationFu Y Li Y Saeed SU Clarkson MJ Hu Y
International Conference on Medical Image Computing and Computer-Assisted Intervention Springer Nature Switzerland Cham., 86-95.
01-01-2023
Boundary-rl: Reinforcement learning for weakly-supervised prostate segmentation in trus imagesYi W Stavrinides V Baum ZMC Yang Q Barratt DC Clarkson MJ Hu Y Saeed SU
International Workshop on Machine Learning in Medical Imaging Springer Nature Switzerland Cham., 277-288.
01-01-2023
A recycling training strategy for medical image segmentation with diffusion denoising modelsFu Y Li Y Saeed SU Clarkson MJ Hu Y
Arxiv Preprint Arxiv:2308.16355
01-01-2023
Saramis: Simulation assets for robotic assisted and minimally invasive surgeryMontana-Brown N Saeed SU Abdulaal A Dowrick T Kilic Y Wilkinson S Gao J Mashar M et al.
Advances in Neural Information Processing Systems vol. 36, 26121-26134.
01-01-2023
MR to ultrasound registration for prostate challenge-datasetBaum Z Saeed S Min Z Hu Y Barratt D
Medical Image Computing and Computer Assisted Intervention–MICCAI. vol. 2023
01-01-2023
2022
Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentationSaeed SU Yan W Fu Y Giganti F Yang Q Baum Z Rusu M Fan RE et al.
Arxiv Preprint Arxiv:2202.09798
01-01-2022
Image quality assessment for machine learning tasks using meta-reinforcement learningSaeed SU Fu Y Stavrinides V Baum ZMC Yang Q Rusu M Fan RE Sonn GA et al.
Medical Image Analysis, Elsevier vol. 78, 102427-102427.
01-01-2022
Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CTRamalhinho JA Koo B Monta na-Brown N Saeed SU Bonmati E Gurusamy K Pereira SP Davidson B et al.
International Journal of Computer Assisted Radiology and Surgery, Springer International Publishing Cham vol. 17, 1461-1468.
01-01-2022
P-314 Quantitative analysis of uterine peristalsis using optical flow for motion quantificationLatif S Saeed SU Saridogan E Hu Y Mavrelos D
Human Reproduction, Oxford University Press vol. 37, deac107-299.
01-01-2022
Quantitative analysis of uterine peristalsis using optical flow for motion quantificationLatif S Saeed SU Saridogan E Hu Y Mavrelos D
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA. vol. 129, 183-184.
01-01-2022
Strategising template-guided needle placement for MR-targeted prostate biopsyGayo IJMB Saeed SU Barratt DC Clarkson MJ Hu Y
MICCAI Workshop on Cancer Prevention through Early Detection Springer Nature Switzerland Cham., 149-158.
01-01-2022
2021
Learning image quality assessment by reinforcing task amenable data selectionSaeed SU Fu Y Baum ZMC Yang Q Rusu M Fan RE Sonn GA Barratt DC et al.
International conference on information processing in medical imaging Springer International Publishing Cham., 755-766.
01-01-2021
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labelsChalcroft LF Qu J Martin SA Gayo IJMB Minore GV Singh IRD Saeed SU Yang Q et al.
International Workshop on Advances in Simplifying Medical Ultrasound Springer International Publishing Cham., 25-34.
01-01-2021
Adaptable image quality assessment using meta-reinforcement learning of task amenabilitySaeed SU Fu Y Stavrinides V Baum ZMC Yang Q Rusu M Fan RE Sonn GA et al.
International Workshop on Advances in Simplifying Medical Ultrasound Springer International Publishing Cham., 191-201.
01-01-2021
2020
Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodesSaeed SU Taylor ZA Pinnock MA Emberton M Barratt DC Hu Y
International Conference on Medical Image Computing and Computer-Assisted Intervention Springer International Publishing Cham., 650-659.
01-01-2020
Introduction to medical image registration with deepreg, between old and newMontana Brown N Fu Y Saeed SU Casamitjana A Baum ZMC Delaunay R Yang Q Grimwood A et al.
Arxiv E-Prints, arXiv-2009.
01-01-2020
DeepReg: a deep learning toolkit for medical image registrationFu Y Brown NMN Saeed SU Casamitjana A Baum Z Delaunay R Yang Q Grimwood A et al.
Arxiv Preprint Arxiv:2011.02580
01-01-2020
Cryo-RL: automating prostate cancer cryoablation planning with reinforcement learningSaeed SU
International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD) 2025.
1 Details of EquationsMin Z Baum ZMC Saeed SU Emberton M Barratt DC Taylor ZA Hu Y
Research Group
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