Technology for the DS educational tool - facilitating assessment, public engagement and debriefing in simulations through technology. - Jason Maroothynaden; Jessica J. Tang; Alejandro Granados; Jimmy Kyaw-Tun; Roger L. Kneebone; Fernando Bello (Br. J. Educ. Technol., 2013)

Haptics Modelling for Digital Rectal Examinations. - Alejandro Granados; Erik Mayer; Christine Norton; David Ellis; Mohammad Mobasheri; Naomi Low-Beer; Jenny Higham; Roger L. Kneebone; Fernando Bello (ISBMS, 2014)

Real-Time Visualisation and Analysis of Internal Examinations - Seeing the Unseen. - Alejandro Granados; Niels Hald; Aimee Di Marco; Shahla Ahmed; Naomi Low-Beer; Jenny Higham; Roger L. Kneebone; Fernando Bello (MICCAI (1), 2014)

Haptics-based Modelling of Pigmented Skin Lesions. - Alejandro Granados; James Bryan; Taha Abdalla; Genevieve Osborne; Fernando Bello (VCBM, 2015)

Relax and Tighten - A Haptics-based Approach to Simulate Sphincter Tone Assessment. - Alejandro Granados; Luc Marechal; Alastair Barrow; George Petrou; Christine Norton; Fernando Bello (AsiaHaptics, 2016)

Thimble End Effector for Palpation Skills Training. - Arthur Loisillier; Alejandro Granados; Alastair Barrow; Fernando Bello (EuroHaptics (2), 2016)

Modelling of anal sphincter tone based on pneumatic and cable-driven mechanisms. - Luc Marechal; Alejandro Granados; Lilian Ethapemi; Shengyang Qiu; Christos Kontovounisios; Christine Norton; Fernando Bello (WHC, 2017)

See-through Visualisation for Training and Assessing Unsighted Physical Examinations. - Alejandro Granados; Ján Perhác; Lucy Victoria Rosby; Yee Mun Lee; Glenn Wei Leong Tan; Tai Chi Tan; Jenny Higham; Nadia Magnenat-Thalmann; Naomi Low-Beer; Fernando Bello (VRIPHYS, 2017)

A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. - Alejandro Granados; Matteo Mancini; Sjoerd B. Vos; Oeslle Lucena; Vejay Vakharia; Roman Rodionov; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Rachel Sparks; Sébastien Ourselin (MICCAI (4), 2018)

Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending. - Alejandro Granados; Vejay Vakharia; Roman Rodionov; Martin Schweiger; Sjoerd B. Vos; Aidan G. O'Keeffe; Kuo Li; Chengyuan Wu; Anna Miserocchi; Andrew W. McEvoy; Matthew J. Clarkson; John S. Duncan; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Real-Time Visualization and Analysis of Clinicians' Performance During Palpation in Physical Examinations. - Alejandro Granados; Naomi Low-Beer; Jenny Higham; Roger L. Kneebone; Fernando Bello (IEEE Trans. Biomed. Eng., 2018)

A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation. - Alejandro Granados; Martin Schweiger; Vejay Vakharia; Andrew W. McEvoy; Anna Miserocchi; John S. Duncan; Rachel Sparks; Sébastien Ourselin (MICCAI (5), 2019)

Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. - Alejandro Granados; Oeslle Lucena; Vejay Vakharia; Anna Miserocchi; Andrew W. McEvoy; Sjoerd B. Vos; Roman Rodionov; John S. Duncan; Rachel Sparks; Sébastien Ourselin (ISBI, 2020)

Taking the Pressure Off the Patient - Understanding Digital Rectal Examinations on a Real Subject. - Alejandro Granados; Seth Cox; Naomi Low-Beer; Jenny Higham; Roger L. Kneebone; Fernando Bello (IEEE Trans. Biomed. Eng., 2020)

A sandbox for prediction and integration of DNA, RNA, and proteins in single cells. - Malte Lücken; Daniel Burkhardt; Robrecht Cannoodt; Christopher Lance; Aditi Agrawal; Hananeh Aliee; Ann Chen; Louise Deconinck; Angela Detweiler; Alejandro Granados; Shelly Huynh; Laura Isacco; et al. (NeurIPS Datasets and Benchmarks, 2021)

Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning. - Alejandro Granados; Yuxuan Han; Oeslle Lucena; Vejay Vakharia; Roman Rodionov; Sjoerd B. Vos; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Rachel Sparks; Sébastien Ourselin (Int. J. Comput. Assist. Radiol. Surg., 2021)

A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation. - Alejandro Granados; Fernando Pérez-García; Martin Schweiger; Vejay Vakharia; Sjoerd B. Vos; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Rachel Sparks; Sébastien Ourselin (Int. J. Comput. Assist. Radiol. Surg., 2021)

MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation. - Jiayu Huo; Liyun Chen; Yang Liu 271; Maxence Boels; Alejandro Granados; Sébastien Ourselin; Rachel Sparks (CoRR, 2022)

SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition. - Yang Liu 271; Jiayu Huo; Jingjing Peng; Rachel Sparks; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (ICCV, 2023)

Unleash the Power of 2D Pre-trained Model for 3D T1-weighted Brain MRI Inpainting. - Jiayu Huo; Chih-Yang Li; Alejandro Granados; Sébastien Ourselin; Rachel Sparks (BraTS/CrossMoDA@MICCAI, 2023)

ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance. - Jiayu Huo; Yang Liu 271; Xi Ouyang; Alejandro Granados; Sébastien Ourselin; Rachel Sparks (MLMI@MICCAI (2), 2023)

Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. - Lucia Innocenti; Michela Antonelli; Francesco Cremonesi; Kenaan Sarhan; Alejandro Granados; Vicky Goh; Sébastien Ourselin; Marco Lorenzi (PKDD/ECML Workshops (4), 2023)

Blood Harmonisation of Endoscopic Transsphenoidal Surgical Video Frames on Phantom Models. - Mahrukh Saeed; Julien Quarez; Hassna Irzan; Bava Kesavan; Matthew Elliot; Oscar MacCormac; James Knight; Sébastien Ourselin; Jonathan Shapey; Alejandro Granados (ISBI, 2024)

MUTUAL: Towards Holistic Sensing and Inference in the Operating Room. - Julien Quarez; Yang Li; Hassna Irzan; Matthew Elliot; Oscar MacCormac; James Knigth; Martin Huber; Toktam Mahmoodi; Prokar Dasgupta; Sébastien Ourselin; Nicholas Raison; Jonathan Shapey; et al. (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography. - Zhenyu Bu; Yang Liu 271; Jiayu Huo; Jingjing Peng; Kaini Wang; Guangquan Zhou; Rachel Sparks; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (MLMI@MICCAI (1), 2024)

Practical Design and Implementation of Virtual Chatbot Assistants for Bioinformatics Based on a NLU Open Framework. - Aya Allah Elsayed; Ahmed Ibrahem Hafez; Raquel Ceprián; Genís Martínez; Alejandro Granados; Beatriz Soriano; Carlos Lloréns; José M. Sempere (Big Data Cogn. Comput., 2024)

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge. - Dimitrios Psychogyios; Emanuele Colleoni; Beatrice van Amsterdam; Chih-Yang Li; Shu-Yu Huang; Yuchong Li; Fucang Jia; Baosheng Zou; Guotai Wang; Yang Liu 271; Maxence Boels; Jiayu Huo; et al. (CoRR, 2024)

ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks. - Yang Liu 271; Xiaomin Yu; Gongyu Zhang; Christos Bergeles; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (CoRR, 2024)

SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning. - Maxence Boels; Yang Liu 271; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (CoRR, 2024)

Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation. - Peiran Wu; Yang Liu 271; Jiayu Huo; Gongyu Zhang; Christos Bergeles; Rachel Sparks; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (CoRR, 2024)

Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review. - Harry Robertshaw; Lennart Karstensen; Benjamin Jackson; S. M. Hadi Sadati; Kawal S. Rhode; Sébastien Ourselin; Alejandro Granados; Thomas C. Booth (CoRR, 2024)

R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment. - Julien Quarez; Matthew Elliot; Oscar MacCormac; Nawal Khan; Marc Modat; Sébastien Ourselin; Jonathan Shapey; Alejandro Granados (CoRR, 2024)

SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation. - Maxence Boels; Yang Liu 271; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (CoRR, 2024)

Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning. - Harry Robertshaw; Lennart Karstensen; Benjamin Jackson; Alejandro Granados; Thomas C. Booth (Int. J. Comput. Assist. Radiol. Surg., 2024)

MR-to-CT Translation Using Frequency-Separated Diffusion Models. - Chaohui Gong; Zisheng Huang; Zhiying Wu; Mingyang Zhao 001; Fan Xu; Xuexue Bai; Ming Feng; Alejandro Granados; Gaofeng Meng; Zhen Lei 001; Hongbin Liu 001 (ISBI, 2025)

LoViT: Long Video Transformer for surgical phase recognition. - Yang Liu 271; Maxence Boels; Luis C. García-Peraza-Herrera; Tom Vercauteren; Prokar Dasgupta; Alejandro Granados; Sébastien Ourselin (Medical Image Anal., 2025)

UltraFlwr - An Efficient Federated Medical and Surgical Object Detection Framework. - Yang Li; Soumya Snigdha Kundu; Maxence Boels; Toktam Mahmoodi; Sébastien Ourselin; Tom Vercauteren; Prokar Dasgupta; Jonathan Shapey; Alejandro Granados (CoRR, 2025)

Benchmarking reinforcement learning algorithms for autonomous mechanical thrombectomy. - Farhana Moosa; Harry Robertshaw; Lennart Karstensen; Thomas C. Booth; Alejandro Granados (Int. J. Comput. Assist. Radiol. Surg., 2025)

Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy. - Harry Robertshaw; Benjamin Jackson; Jiaheng Wang; S. M. Hadi Sadati; Lennart Karstensen; Alejandro Granados; Thomas C. Booth (Int. J. Comput. Assist. Radiol. Surg., 2025)

When Imitation Learning Outperforms Reinforcement Learning in Surgical Action Planning. - Maxence Boels; Harry Robertshaw; Alejandro Granados; Prokar Dasgupta; Sébastien Ourselin (CoRR, 2025)