Alejandro Granados

56 papers A* 1Journal 33Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on behalf of the Stakeholder Taskforce for AI-assisted Robotic Thrombectomy (START).
CoRR
Harry Robertshaw, Anna Barnes, Phil Blakelock, Raphael Blanc, Robert Crossley, Rebecca Fahrig, Ameer E. Hassan, Benjamin Jackson, Lennart Karstensen, Neelam Kaur, Markus Kowarschik, Jeremy Lynch, Franziska Mathis-Ullrich, Dwight Meglan, Vitor Mendes Pereira, Mouloud Ourak, Matteo Pantano, S. M. Hadi Sadati, Alice Taylor-Gee, Tom Vercauteren, Phil White, Alejandro Granados, Thomas C. Booth
2026 J jnl
From Pre- to Intra-operative MRI: Predicting Brain Shift in Temporal Lobe Resection for Epilepsy Surgery.
CoRR
Jingjing Peng, Giorgio Fiore, Yang Liu, Ksenia Ellum, Debayan Daspupta, Keyoumars Ashkan, Andrew W. McEvoy, Anna Miserocchi, Sébastien Ourselin, John S. Duncan, Alejandro Granados
2026 J jnl
Toward AI Autonomous Navigation for Mechanical Thrombectomy Using Hierarchical Modular Multi-Agent Reinforcement Learning (HM-MARL).
IEEE Robotics Autom. Lett.
Harry Robertshaw, Nikola Fischer, Lennart Karstensen, Benjamin Jackson, X. Chen, S. M. Hadi Sadati, Christos Bergeles, Alejandro Granados, Thomas C. Booth
2026 J jnl
Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL).
CoRR
Harry Robertshaw, Nikola Fischer, Lennart Karstensen, Benjamin Jackson, Xingyu Chen, S. M. Hadi Sadati, Christos Bergeles, Alejandro Granados, Thomas C. Booth
2025 J jnl
Benchmarking reinforcement learning algorithms for autonomous mechanical thrombectomy.
Int. J. Comput. Assist. Radiol. Surg.
Farhana Moosa, Harry Robertshaw, Lennart Karstensen, Thomas C. Booth, Alejandro Granados
2025 — conf
DARIL: When Imitation Learning Outperforms Reinforcement Learning in Surgical Action Planning.
COLAS@MICCAI
Maxence Boels, Harry Robertshaw, Thomas C. Booth, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2025 J jnl
LoViT: Long Video Transformer for surgical phase recognition.
Medical Image Anal.
Yang Liu, Maxence Boels, Luis C. García-Peraza-Herrera, Tom Vercauteren, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2025 — conf
MR-to-CT Translation Using Frequency-Separated Diffusion Models.
ISBI
Chaohui Gong, Zisheng Huang, Zhiying Wu, Mingyang Zhao, Fan Xu, Xuexue Bai, Ming Feng, Alejandro Granados, Gaofeng Meng, Zhen Lei, Hongbin Liu
2025 — conf
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical Flow.
MICCAI (9)
Yang Liu, Peiran Wu, Jiayu Huo, Gongyu Zhang, Zhen Yuan, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2025 — conf
ReCAP: Recursive Cross Attention Network for Pseudo-label Generation in Robotic Surgical Skill Assessment.
Agentic AI/CREATE/Clinical MLLMs@MICCAI
Julien Quarez, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados
2025 J jnl
Reinforcement Learning for Safe Autonomous Two Device Navigation of Cerebral Vessels in Mechanical Thrombectomy.
CoRR
Harry Robertshaw, Benjamin Jackson, Jiaheng Wang, S. M. Hadi Sadati, Lennart Karstensen, Alejandro Granados, Thomas C. Booth
2025 J jnl
Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy.
Int. J. Comput. Assist. Radiol. Surg.
Harry Robertshaw, Benjamin Jackson, Jiaheng Wang, S. M. Hadi Sadati, Lennart Karstensen, Alejandro Granados, Thomas C. Booth
2025 J jnl
SWAG: long-term surgical workflow prediction with generative-based anticipation.
Int. J. Comput. Assist. Radiol. Surg.
Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2025 J jnl
UltraFlwr - An Efficient Federated Medical and Surgical Object Detection Framework.
CoRR
Yang Li, Soumya Snigdha Kundu, Maxence Boels, Toktam Mahmoodi, Sébastien Ourselin, Tom Vercauteren, Prokar Dasgupta, Jonathan Shapey, Alejandro Granados
2025 J jnl
When Imitation Learning Outperforms Reinforcement Learning in Surgical Action Planning.
CoRR
Maxence Boels, Harry Robertshaw, Alejandro Granados, Prokar Dasgupta, Sébastien Ourselin
2025 — conf
World Model for AI Autonomous Navigation in Mechanical Thrombectomy.
MICCAI (9)
Harry Robertshaw, Han-Ru Wu, Alejandro Granados, Thomas C. Booth
2025 J jnl
World Model for AI Autonomous Navigation in Mechanical Thrombectomy.
CoRR
Harry Robertshaw, Han-Ru Wu, Alejandro Granados, Thomas C. Booth
2024 J jnl
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks.
CoRR
Yang Liu, Xiaomin Yu, Gongyu Zhang, Christos Bergeles, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 J jnl
Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review.
CoRR
Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, S. M. Hadi Sadati, Kawal S. Rhode, Sébastien Ourselin, Alejandro Granados, Thomas C. Booth
2024 J jnl
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning.
Int. J. Comput. Assist. Radiol. Surg.
Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, Alejandro Granados, Thomas C. Booth
2024 J jnl
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning.
CoRR
Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, Alejandro Granados, Thomas C. Booth
2024 — conf
Blood Harmonisation of Endoscopic Transsphenoidal Surgical Video Frames on Phantom Models.
ISBI
Mahrukh Saeed, Julien Quarez, Hassna Irzan, Bava Kesavan, Matthew Elliot, Oscar MacCormac, James Knight, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados
2024 — conf
DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography.
MLMI@MICCAI (1)
Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 J jnl
DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography.
CoRR
Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 — conf
MUTUAL: Towards Holistic Sensing and Inference in the Operating Room.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Julien Quarez, Yang Li, Hassna Irzan, Matthew Elliot, Oscar MacCormac, James Knigth, Martin Huber, Toktam Mahmoodi, Prokar Dasgupta, Sébastien Ourselin, Nicholas Raison, Jonathan Shapey, Alejandro Granados
2024 J jnl
Practical Design and Implementation of Virtual Chatbot Assistants for Bioinformatics Based on a NLU Open Framework.
Big Data Cogn. Comput.
Aya Allah Elsayed, Ahmed Ibrahem Hafez, Raquel Ceprián, Genís Martínez, Alejandro Granados, Beatriz Soriano, Carlos Lloréns, José M. Sempere
2024 J jnl
R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment.
CoRR
Julien Quarez, Matthew Elliot, Oscar MacCormac, Nawal Khan, Marc Modat, Sébastien Ourselin, Jonathan Shapey, Alejandro Granados
2024 J jnl
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation.
CoRR
Peiran Wu, Yang Liu, Jiayu Huo, Gongyu Zhang, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 J jnl
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR
Dimitrios Psychogyios, Emanuele Colleoni, Beatrice van Amsterdam, Chih-Yang Li, Shu-Yu Huang, Yuchong Li, Fucang Jia, Baosheng Zou, Guotai Wang, Yang Liu, Maxence Boels, Jiayu Huo, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin, Mengya Xu, An Wang, Yanan Wu, Long Bai, Hongliang Ren, Atsushi Yamada, Yuriko Harai, Yuto Ishikawa, Kazuyuki Hayashi, Jente Simoens, Pieter DeBacker, Francesco Cisternino, Gabriele Furnari, Alexandre Mottrie, Federica Ferraguti, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Soohee Kim, Seung Hyun Lee, Kyu Eun Lee, Hyoun-Joong Kong, Kui Fu, Chao Li, Shan An, Stefanie Krell, Sebastian Bodenstedt, Nicolás Ayobi, Alejandra Pérez, Santiago Rodríguez, Juanita Puentes, Pablo Arbeláez, Omid Mohareri, Danail Stoyanov
2024 J jnl
SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation.
CoRR
Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2024 J jnl
SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning.
CoRR
Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2023 — conf
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance.
MLMI@MICCAI (2)
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2023 J jnl
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance.
CoRR
Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2023 — conf
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
PKDD/ECML Workshops (4)
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023 J jnl
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
CoRR
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023 J jnl
LoViT: Long Video Transformer for Surgical Phase Recognition.
CoRR
Yang Liu, Maxence Boels, Luis C. García-Peraza-Herrera, Tom Vercauteren, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2023 A* conf
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition.
ICCV
Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin
2023 — conf
Unleash the Power of 2D Pre-trained Model for 3D T1-weighted Brain MRI Inpainting.
BraTS/CrossMoDA@MICCAI
Jiayu Huo, Chih-Yang Li, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2022 J jnl
MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation.
CoRR
Jiayu Huo, Liyun Chen, Yang Liu, Maxence Boels, Alejandro Granados, Sébastien Ourselin, Rachel Sparks
2021 J jnl
A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation.
Int. J. Comput. Assist. Radiol. Surg.
Alejandro Granados, Fernando Pérez-García, Martin Schweiger, Vejay Vakharia, Sjoerd B. Vos, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2021 — conf
A sandbox for prediction and integration of DNA, RNA, and proteins in single cells.
NeurIPS Datasets and Benchmarks
Malte Lücken, Daniel Burkhardt, Robrecht Cannoodt, Christopher Lance, Aditi Agrawal, Hananeh Aliee, Ann Chen, Louise Deconinck, Angela Detweiler, Alejandro Granados, Shelly Huynh, Laura Isacco, Yang Kim, Dominik Klein, Bony de Kumar, Sunil Kuppasani, Heiko Lickert, Aaron McGeever, Joaquin Melgarejo, Honey Mekonen, Maurizio Morri, Michaela Müller, Norma Neff, Sheryl Paul, Bastian Rieck, Kaylie Schneider, Scott Steelman, Michael Sterr, Daniel Treacy, Alexander Tong, Alexandra-Chloé Villani, Guilin Wang, Jia Yan, Ce Zhang, Angela Pisco, Smita Krishnaswamy, Fabian J. Theis, Jonathan M. Bloom
2021 J jnl
Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning.
Int. J. Comput. Assist. Radiol. Surg.
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
2020 J jnl
Taking the Pressure Off the Patient - Understanding Digital Rectal Examinations on a Real Subject.
IEEE Trans. Biomed. Eng.
Alejandro Granados, Seth Cox, Naomi Low-Beer, Jenny Higham, Roger L. Kneebone, Fernando Bello
2020 — conf
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery.
ISBI
Alejandro Granados, Oeslle Lucena, Vejay Vakharia, Anna Miserocchi, Andrew W. McEvoy, Sjoerd B. Vos, Roman Rodionov, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2019 — conf
A Generative Model of Hyperelastic Strain Energy Density Functions for Real-Time Simulation of Brain Tissue Deformation.
MICCAI (5)
Alejandro Granados, Martin Schweiger, Vejay Vakharia, Andrew W. McEvoy, Anna Miserocchi, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2018 — conf
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery.
MICCAI (4)
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
2018 J jnl
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.
Int. J. Comput. Assist. Radiol. Surg.
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, Rachel Sparks, Sébastien Ourselin
2018 J jnl
Real-Time Visualization and Analysis of Clinicians' Performance During Palpation in Physical Examinations.
IEEE Trans. Biomed. Eng.
Alejandro Granados, Naomi Low-Beer, Jenny Higham, Roger L. Kneebone, Fernando Bello
2017 — conf
Modelling of anal sphincter tone based on pneumatic and cable-driven mechanisms.
WHC
Luc Marechal, Alejandro Granados, Lilian Ethapemi, Shengyang Qiu, Christos Kontovounisios, Christine Norton, Fernando Bello
2017 — conf
See-through Visualisation for Training and Assessing Unsighted Physical Examinations.
VRIPHYS
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
2016 — conf
Relax and Tighten - A Haptics-based Approach to Simulate Sphincter Tone Assessment.
AsiaHaptics
Alejandro Granados, Luc Marechal, Alastair Barrow, George Petrou, Christine Norton, Fernando Bello
2016 — conf
Thimble End Effector for Palpation Skills Training.
EuroHaptics (2)
Arthur Loisillier, Alejandro Granados, Alastair Barrow, Fernando Bello
2015 — conf
Haptics-based Modelling of Pigmented Skin Lesions.
VCBM
Alejandro Granados, James Bryan, Taha Abdalla, Genevieve Osborne, Fernando Bello
2014 — conf
Haptics Modelling for Digital Rectal Examinations.
ISBMS
Alejandro Granados, Erik Mayer, Christine Norton, David Ellis, Mohammad Mobasheri, Naomi Low-Beer, Jenny Higham, Roger L. Kneebone, Fernando Bello
2014 — conf
Real-Time Visualisation and Analysis of Internal Examinations - Seeing the Unseen.
MICCAI (1)
Alejandro Granados, Niels Hald, Aimee Di Marco, Shahla Ahmed, Naomi Low-Beer, Jenny Higham, Roger L. Kneebone, Fernando Bello
2013 J jnl
Technology for the DS educational tool - facilitating assessment, public engagement and debriefing in simulations through technology.
Br. J. Educ. Technol.
Jason Maroothynaden, Jessica J. Tang, Alejandro Granados, Jimmy Kyaw-Tun, Roger L. Kneebone, Fernando Bello