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ORCIDMiguel Xochicale
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2020 – today
- 2024
[i9]Adrito Das, Bilal Sidiqi, Laurent Mennillo, Zhehua Mao, Mikael Brudfors, Miguel Xochicale, Danyal Z. Khan, Nicola Newall, John G. Hanrahan, Matthew J. Clarkson, Danail Stoyanov, Hani J. Marcus, Sophia Bano:
Automated Surgical Skill Assessment in Endoscopic Pituitary Surgery using Real-time Instrument Tracking on a High-fidelity Bench-top Phantom. CoRR abs/2409.17025 (2024)- 2023
- [i8]Antonio Badillo-Perez, Donato Badillo-Perez, Alex Barco, Rocio Montenegro, Miguel Xochicale:
Teaching AI and Robotics to Children in a Mexican town. CoRR abs/2303.03956 (2023) - [i7]Michelle Iskandar, Harvey Mannering, Zhanxiang Sun, Jacqueline Matthew, Hamideh Kerdegari, Laura Peralta Pereira, Miguel Xochicale:
Towards Realistic Ultrasound Fetal Brain Imaging Synthesis. CoRR abs/2304.03941 (2023) - [i6]Tsz Yan Leung, Miguel Xochicale:
Towards a Simple Framework of Skill Transfer Learning for Robotic Ultrasound-guidance Procedures. CoRR abs/2305.04004 (2023) - 2022
- [j1]Christian Baker
, Miguel Xochicale, Fang-Yu Lin, Sunish Mathews, Francois Joubert, Dzhoshkun I. Shakir, Richard Miles, Charles A. Mosse, Tianrui Zhao, Weidong Liang, Yada Kunpalin, Brian Dromey, Talisa Mistry, Neil J. Sebire, Edward Zhang, Sébastien Ourselin, Paul C. Beard, Anna L. David, Adrien E. Desjardins, Tom Vercauteren, Wenfeng Xia:
Intraoperative Needle Tip Tracking with an Integrated Fibre-Optic Ultrasound Sensor. Sensors 22(23): 9035 (2022) - [i5]Antonio Badillo-Perez, Donato Badillo-Perez, Diego Coyotzi-Molina, Dago Cruz, Rocio Montenegro, Leticia Vazquez, Miguel Xochicale:
Piloting Diversity and Inclusion Workshops in Artificial Intelligence and Robotics for Children. CoRR abs/2203.03204 (2022) - [i4]Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Miguel Xochicale, Alberto Gómez, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King:
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. CoRR abs/2203.11726 (2022) - [i3]Thea Bautista, Jacqueline Matthew, Hamideh Kerdegari, Laura Peralta Pereira, Miguel Xochicale:
Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANs. CoRR abs/2206.01731 (2022) - [i2]Miguel Xochicale, Louise Thwaites, Sophie Yacoub, Luigi Pisani, Phung Tran Huy Nhat, Hamideh Kerdegari, Andrew P. King, Alberto Gómez:
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries. CoRR abs/2212.14510 (2022) - 2021
- [i1]Rocio Montenegro, Elva Corona, Donato Badillo-Perez, Angel Mandujano, Leticia Vazquez, Dago Cruz, Miguel Xochicale:
AIR4Children: Artificial Intelligence and Robotics for Children. CoRR abs/2103.07637 (2021)
2010 – 2019
- 2017
- [c3]Miguel P. Xochicale, Chris Baber:
Towards the Analysis of Movement Variability in Human-Humanoid Imitation Activities. HAI 2017: 371-374 - [c2]Miguel P. Xochicale, Chris Baber, Mourad Oussalah:
Towards the Quantification of Human-Robot Imitation Using Wearable Inertial Sensors. HRI (Companion) 2017: 327-328 - 2016
- [c1]Miguel Xochicale, Chris Baber, Mourad Oussalah:
Understanding movement variability of simplistic gestures using an inertial sensor. PerDis 2016: 239-240
Coauthor Index
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