Alejandro Granados
Orcid: 0000-0002-2866-1324
According to our database1,
Alejandro Granados
authored at least 31 papers
between 2013 and 2025.
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Bibliography
2025
Medical Image Anal., 2025
2024
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning.
Int. J. Comput. Assist. Radiol. Surg., August, 2024
R-Trans - A Recurrent Transformer Model for Clinical Feedback in Surgical Skill Assessment.
CoRR, 2024
Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review.
CoRR, 2024
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation.
CoRR, 2024
CoRR, 2024
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks.
CoRR, 2024
SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.
CoRR, 2024
DDSB: An Unsupervised and Training-Free Method for Phase Detection in Echocardiography.
Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024
Blood Harmonisation of Endoscopic Transsphenoidal Surgical Video Frames on Phantom Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
CoRR, 2023
ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
CoRR, 2022
2021
A generative model of hyperelastic strain energy density functions for multiple tissue brain deformation.
Int. J. Comput. Assist. Radiol. Surg., 2021
Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning.
Int. J. Comput. Assist. Radiol. Surg., 2021
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.
IEEE Trans. Biomed. Eng., 2020
Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery.
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.
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.
IEEE Trans. Biomed. Eng., 2018
Automatic segmentation of stereoelectroencephalography (SEEG) electrodes post-implantation considering bending.
Int. J. Comput. Assist. Radiol. Surg., 2018
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
See-through Visualisation for Training and Assessing Unsighted Physical Examinations.
Proceedings of the VRIPHYS 2017 : 13th Workshop on Virtual Reality Interaction and Physical Simulation, 2017
Proceedings of the 2017 IEEE World Haptics Conference, 2017
2016
Proceedings of the Haptics: Perception, Devices, Control, and Applications, 2016
Proceedings of the Haptic Interaction, 2016
2015
Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2015
2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
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.
Br. J. Educ. Technol., 2013