Publications: DR Shaheer Ullah Saeed

( 2026 ) . Biomechanics-informed Non-rigid Medical Image Registration with Elasticity Theories . IEEE Transactions on Medical Imaging vol. PP , ( 99 ) 1 - 1 .

( 2025 ) . Quantitative analysis of uterine peristalsis in women with adenomyosis using optical flow for motion quantification . Reproductive BioMedicine Online vol. 52 , ( 3 )

( 2025 ) . Quantitative analysis of uterine peristalsis in women with adenomyosis using optical flow for motion quantification . Reprod Biomed Online vol. 52 , ( 3 )

Saeed SU, Hu Y ( 2025 ) . Conditional Image Synthesis Using Generative Diffusion Models: Application . Generative Machine Learning Models in Medical Image Computing65 - 65 .

Saeed SU, others ( 2025 ) . Cryo-RL: automating prostate cancer cryoablation planning with reinforcement learning .

Saeed SU, Ramalhinho JA, Monta na-Brown N, Bonmati E, Pereira SP, Davidson B, Clarkson MJ, Hu Y ( 2025 ) . Guided ultrasound acquisition for nonrigid image registration using reinforcement learning . Medical Image Analysis vol. 102 , 103555 - 103555 .

Chen Y, Ni S, Saeed SU, Ivanova A, Hargunani R, Huang J, Liu C, Hu Y ( 2025 ) . Patient-specific radiomic feature selection with reconstructed healthy persona of knee MR images . International Conference on Medical Image Computing and Computer-Assisted Intervention . 441 - 451 .

Wu X, Saeed SU, Wang Y, Coll EB, Hu Y ( 2025 ) . Policy to Assist Iteratively Local Segmentation: Optimising Modality and Location Selection for Prostate Cancer Localisation . arXiv preprint arXiv:2508.03953

Karam L, Wang Y, Kasivisvanathan V, Rusu M, Hu Y, Saeed SU ( 2025 ) . Promptable cancer segmentation using minimal expert-curated data . Annual Conference on Medical Image Understanding and Analysis . 44 - 58 .

Chen Y, Ni S, Saeed SU, Ivanova A, Hargunani R, Huang J, Liu C, Hu Y ( 2025 ) . Radiomic fingerprints for knee MR images assessment . arXiv preprint arXiv:2506.20306

Saeed SU, Wang Y, Kasivisvanathan V, Davidson BR, Clarkson MJ, Hu Y, Alexander DC ( 2025 ) . Reasoning in machine vision: learning to think fast and slow . arXiv preprint arXiv:2506.22075

Tan C, Hu Y, Saeed SU ( 2025 ) . SPARS: Self-Play Adversarial Reinforcement Learning for Segmentation of Liver Tumours . Annual Conference on Medical Image Understanding and Analysis . 59 - 72 .

Yi W, Wang Y, Thorley N, Ng A, Punwani S, Kasivisvanathan V, Barratt DC, Saeed SU et al. ( 2025 ) . T2-only prostate cancer prediction by meta-learning from bi-parametric mr imaging . 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI) . 1 - 5 .

Li Q, Saeed SU, Huang Y, Luo M, Yan Z, Chen J, Yang X, Ni D et al. ( 2025 ) . TUS-REC2024: A Challenge to Reconstruct 3D Freehand Ultrasound Without External Tracker . arXiv preprint arXiv:2506.21765

Saeed SU, Ramalhinho JA, Pinnock M, Shen Z, Fu Y, Monta na-Brown N, Bonmati E, Barratt DC et al. ( 2024 ) . Active learning using adaptable task-based prioritisation . Medical Image Analysis vol. 95 , 103181 - 103181 .

Saeed SU, Syer T, Yan W, Yang Q, Emberton M, Punwani S, Clarkson MJ, Barratt D et al. ( 2024 ) . Bi-parametric prostate MR image synthesis using pathology and sequence-conditioned stable diffusion . Medical imaging with deep learning . 814 - 828 .

Min Z, Baum ZMC, Saeed SU, Emberton M, Barratt DC, Taylor ZA, Hu Y ( 2024 ) . Biomechanics-informed non-rigid medical image registration and its inverse material property estimation with linear and nonlinear elasticity . International Conference on Medical Image Computing and Computer-Assisted Intervention . 564 - 574 .

Saeed SU, Huang S, Ramalhinho JA, Gayo IJMB, Monta na-Brown N, Bonmati E, Pereira SP, Davidson B et al. ( 2024 ) . Competing for pixels: a self-play algorithm for weakly-supervised segmentation . arXiv preprint arXiv:2405.16628

Saeed SU, Huang S, Ramalhinho J, Gayo IJMB, Monta na-Brown N, Bonmati E, Pereira SP, Davidson B et al. ( 2024 ) . Competing for pixels: a self-play algorithm for weakly-supervised semantic segmentation . IEEE Transactions on Pattern Analysis and Machine Intelligence

Saeed SU, Hu Y ( 2024 ) . Conditional Image Synthesis Using Generative Diffusion Models: Application to Pathological Prostate MR Image Generation . Generative Machine Learning Models in Medical Image Computing , Springer Nature Switzerland Cham

Huang S, Xu T, Shen Z, Saeed SU, Yan W, Barratt D, Hu Y ( 2024 ) . One registration is worth two segmentations . International Conference on Medical Image Computing and Computer-Assisted Intervention . 665 - 675 .

Latif S, Saeed SU, Hu Y, De Braud L, Atik Y, Yasmin E, Saridogan E, Mavrelos D ( 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 GnRHanalogue . Human Reproduction vol. 39 , Article Supplement_1 , deae108 - 671 .

Latif S, Saeed SU, Hu Y, De Braud L, Atik Y, Yasmin E, Saridogan E, Mavrelos D ( 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 GnRHanalogue . HUMAN REPRODUCTION . vol. 39 , I338 - I338 .

Huang S, Xu T, Shen Z, Saeed SU, Yan W, Barratt D, Hu Y ( 2024 ) . SAMReg: SAM-enabled image registration with ROI-based correspondence . arXiv preprint arXiv:2410.14083

Chen Y, Ivanova A, Saeed SU, Hargunani R, Huang J, Liu C, Hu Y ( 2024 ) . Segmentation by registration-enabled sam prompt engineering using five reference images . International Workshop on Biomedical Image Registration . 241 - 252 .

Li Y, Fu Y, Gayo IJMB, Yang Q, Min Z, Saeed SU, Yan W, Wang Y et al. ( 2024 ) . Semi-weakly-supervised neural network training for medical image registration . arXiv preprint arXiv:2402.10728

Gayo IJMB, Saeed SU, Bonmati E, Barratt DC, Clarkson MJ, Hu Y ( 2024 ) . The distinct roles of reinforcement learning between pre-procedure and intra-procedure planning for prostate biopsy . International Journal of Computer Assisted Radiology and Surgery vol. 19 , Article 6 , 1003 - 1012 .

Pocius M, Yan W, Barratt DC, Emberton M, Clarkson MJ, Hu Y, Saeed SU ( 2024 ) . Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images . 2024 IEEE International Symposium on Biomedical Imaging (ISBI) . 1 - 5 .

Fu Y, Li Y, Saeed SU, Clarkson MJ, Hu Y ( 2023 ) . A recycling training strategy for medical image segmentation with diffusion denoising models . arXiv preprint arXiv:2308.16355

Yi W, Stavrinides V, Baum ZMC, Yang Q, Barratt DC, Clarkson MJ, Hu Y, Saeed SU ( 2023 ) . Boundary-rl: Reinforcement learning for weakly-supervised prostate segmentation in trus images . International Workshop on Machine Learning in Medical Imaging . 277 - 288 .

Fu Y, Li Y, Saeed SU, Clarkson MJ, Hu Y ( 2023 ) . Importance of aligning training strategy with evaluation for diffusion models in 3d multiclass segmentation . International Conference on Medical Image Computing and Computer-Assisted Intervention . 86 - 95 .

Baum Z, Saeed S, Min Z, Hu Y, Barratt D ( 2023 ) . MR to ultrasound registration for prostate challenge-dataset . Medical Image Computing and Computer Assisted Intervention–MICCAI . vol. 2023 ,

Min Z, Baum ZMC, Saeed SU, Emberton M, Barratt DC, Taylor ZA, Hu Y ( 2023 ) . Non-rigid medical image registration using physics-informed neural networks . International conference on information processing in medical imaging . 601 - 613 .

Li Y, Fu Y, Gayo IJMB, Yang Q, Min Z, Saeed SU, Yan W, Wang Y et al. ( 2023 ) . Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration . Medical Image Analysis vol. 90 , 102935 - 102935 .

Montana-Brown N, Saeed SU, Abdulaal A, Dowrick T, Kilic Y, Wilkinson S, Gao J, Mashar M et al. ( 2023 ) . Saramis: Simulation assets for robotic assisted and minimally invasive surgery . Advances in Neural Information Processing Systems vol. 36 , 26121 - 26134 .

Ramalhinho JA, Koo B, Monta na-Brown N, Saeed SU, Bonmati E, Gurusamy K, Pereira SP, Davidson B et al. ( 2022 ) . Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT . International Journal of Computer Assisted Radiology and Surgery vol. 17 , Article 8 , 1461 - 1468 .

Saeed SU, Yan W, Fu Y, Giganti F, Yang Q, Baum Z, Rusu M, Fan RE et al. ( 2022 ) . Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation . arXiv preprint arXiv:2202.09798

Saeed SU, Fu Y, Stavrinides V, Baum ZMC, Yang Q, Rusu M, Fan RE, Sonn GA et al. ( 2022 ) . Image quality assessment for machine learning tasks using meta-reinforcement learning . Medical Image Analysis vol. 78 , 102427 - 102427 .

Latif S, Saeed SU, Saridogan E, Hu Y, Mavrelos D ( 2022 ) . P-314 Quantitative analysis of uterine peristalsis using optical flow for motion quantification . Human Reproduction vol. 37 , Article Supplement_1 , deac107 - 299 .

Latif S, Saeed SU, Saridogan E, Hu Y, Mavrelos D ( 2022 ) . Quantitative analysis of uterine peristalsis using optical flow for motion quantification . BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY . vol. 129 , 183 - 184 .

Gayo IJMB, Saeed SU, Barratt DC, Clarkson MJ, Hu Y ( 2022 ) . Strategising template-guided needle placement for MR-targeted prostate biopsy . MICCAI Workshop on Cancer Prevention through Early Detection . 149 - 158 .

Saeed SU, Fu Y, Stavrinides V, Baum ZMC, Yang Q, Rusu M, Fan RE, Sonn GA et al. ( 2021 ) . Adaptable image quality assessment using meta-reinforcement learning of task amenability . International Workshop on Advances in Simplifying Medical Ultrasound . 191 - 201 .

Chalcroft LF, Qu J, Martin SA, Gayo IJMB, Minore GV, Singh IRD, Saeed SU, Yang Q et al. ( 2021 ) . Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels . International Workshop on Advances in Simplifying Medical Ultrasound . 25 - 34 .

Saeed SU, Fu Y, Baum ZMC, Yang Q, Rusu M, Fan RE, Sonn GA, Barratt DC et al. ( 2021 ) . Learning image quality assessment by reinforcing task amenable data selection . International conference on information processing in medical imaging . 755 - 766 .

Fu Y, Brown NMN, Saeed SU, Casamitjana A, Baum Z, Delaunay R, Yang Q, Grimwood A et al. ( 2020 ) . DeepReg: a deep learning toolkit for medical image registration . arXiv preprint arXiv:2011.02580

Montana Brown N, Fu Y, Saeed SU, Casamitjana A, Baum ZMC, Delaunay R, Yang Q, Grimwood A et al. ( 2020 ) . Introduction to medical image registration with deepreg, between old and new . arXiv e-printsarXiv - 2009 .

Saeed SU, Taylor ZA, Pinnock MA, Emberton M, Barratt DC, Hu Y ( 2020 ) . Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes . International Conference on Medical Image Computing and Computer-Assisted Intervention . 650 - 659 .

Min Z, Baum ZMC, Saeed SU, Emberton M, Barratt DC, Taylor ZA, Hu Y . 1 Details of Equations .

. Continual Pretraining Prostate MRI ViT Encoder for Task Alignment . Conference: ISBI 2026

Saeed SU . Cryo-RL: automating prostate cancer cryoablation planning with reinforcement learning . Conference: International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD) 2025

. Promptable segmentation with region exploration enables minimal-effort expert-level prostate cancer delineation . International Journal of Computer Assisted Radiology and Surgery

. Radiomics-Integrated Deep Learning with Hierarchical Loss for Osteosarcoma Histology Classification . Conference: ISBI 2026

. Understanding the Transfer Limits of Vision Foundation Models . Conference: ISBI 2026