Alejandro Granados

According to our database, Alejandro Granados authored at least 40 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

When Imitation Learning Outperforms Reinforcement Learning in Surgical Action Planning.

Maxence Boels, Harry Robertshaw, Alejandro Granados, Prokar Dasgupta, Sébastien Ourselin

CoRR, July, 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., June, 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., June, 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, March, 2025

LoViT: Long Video Transformer for surgical phase recognition.

Yang Liu, Maxence Boels, Luis C. García-Peraza-Herrera, Tom Vercauteren, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin

Medical Image Anal., 2025

MR-to-CT Translation Using Frequency-Separated Diffusion Models.

Chaohui Gong, Zisheng Huang, Zhiying Wu, Mingyang Zhao, Fan Xu, Xuexue Bai, Ming Feng, Alejandro Granados, Gaofeng Meng, Zhen Lei, Hongbin Liu

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

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., August, 2024

SWAG: Long-term Surgical Workflow Prediction with Generative-based Anticipation.

Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin

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

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

Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation.

Peiran Wu, Yang Liu, Jiayu Huo, Gongyu Zhang, Christos Bergeles, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin

CoRR, 2024

SuPRA: Surgical Phase Recognition and Anticipation for Intra-Operative Planning.

Maxence Boels, Yang Liu, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin

CoRR, 2024

ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks.

Yang Liu, Xiaomin Yu, Gongyu Zhang, Christos Bergeles, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin

CoRR, 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, 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

CoRR, 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

DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography.

Zhenyu Bu, Yang Liu, Jiayu Huo, Jingjing Peng, Kaini Wang, Guangquan Zhou, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 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, Alejandro Granados

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance.

Jiayu Huo, Yang Liu, Xi Ouyang, Alejandro Granados, Sébastien Ourselin, Rachel Sparks

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 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

Proceedings of the Brain Tumor Segmentation, and Cross-Modality Domain Adaptation for Medical Image Segmentation, 2023

SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition.

Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MAPPING: Model Average with Post-processing for Stroke Lesion Segmentation.

Jiayu Huo, Liyun Chen, Yang Liu, Maxence Boels, Alejandro Granados, Sébastien Ourselin, Rachel Sparks

CoRR, 2022

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

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 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, 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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

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, Rachel Sparks, Sébastien Ourselin

Int. J. Comput. Assist. Radiol. Surg., 2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

Proceedings of the VRIPHYS 2017 : 13th Workshop on Virtual Reality Interaction and Physical Simulation, 2017

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

Proceedings of the 2017 IEEE World Haptics Conference, 2017

2016

Thimble End Effector for Palpation Skills Training.

Arthur Loisillier, Alejandro Granados, Alastair Barrow, Fernando Bello

Proceedings of the Haptics: Perception, Devices, Control, and Applications, 2016

Relax and Tighten - A Haptics-based Approach to Simulate Sphincter Tone Assessment.

Alejandro Granados, Luc Marechal, Alastair Barrow, George Petrou, Christine Norton, Fernando Bello

Proceedings of the Haptic Interaction, 2016

2015

Haptics-based Modelling of Pigmented Skin Lesions.

Alejandro Granados, James Bryan, Taha Abdalla, Genevieve Osborne, Fernando Bello

Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2015

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

Proceedings of the Biomedical Simulation - 6th International Symposium, 2014

2013

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