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ORCIDLidia Al-Zogbi
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2020 – today
- 2024
[c2]Yanzhou Wang, Lidia Al-Zogbi, Guanyun Liu, Jiawei Liu, Junichi Tokuda, Axel Krieger, Iulian Iordachita:
Bevel-Tip Needle Deflection Modeling, Simulation, and Validation in Multi-Layer Tissues. ICRA 2024: 11598-11604- [i2]Yanzhou Wang, Lidia Al-Zogbi, Jiawei Liu, Lauren Shepard, Ahmed Ezzat Ghazi, Junichi Tokuda, Simon Léonard, Axel Krieger, Iulian Iordachita:
Shape Manipulation of Bevel-Tip Needles for Prostate Biopsy Procedures: A Comparison of Two Resolved-Rate Controllers. CoRR abs/2402.03125 (2024) - 2023
- [i1]Yanzhou Wang, Lidia Al-Zogbi, Guanyun Liu, Jiawei Liu, Junichi Tokuda, Axel Krieger, Iulian Iordachita:
Bevel-Tip Needle Deflection Modeling, Simulation, and Validation in Multi-Layer Tissues. CoRR abs/2311.18075 (2023) - 2021
- [j3]Avani Ahuja, Lidia Al-Zogbi
, Axel Krieger:
Application of noise-reduction techniques to machine learning algorithms for breast cancer tumor identification. Comput. Biol. Medicine 135: 104576 (2021) - [j2]Lidia Al-Zogbi, Vivek K. Singh, Brian Teixeira, Avani Ahuja, Pooyan Sahbaee Bagherzadeh, Ankur Kapoor, Hamed Saeidi, Thorsten Fleiter, Axel Krieger:
Autonomous Robotic Point-of-Care Ultrasound Imaging for Monitoring of COVID-19-Induced Pulmonary Diseases. Frontiers Robotics AI 8: 645756 (2021)
2010 – 2019
- 2019
- [j1]Lidia Al-Zogbi, Diganta Das, Peter Rundle, Michael G. Pecht:
Breaking the Trust: How Companies Are Failing Their Customers. IEEE Access 7: 52522-52531 (2019) - [c1]Anirudh Topiwala, Lidia Al-Zogbi, Thorsten Fleiter, Axel Krieger:
Adaptation and Evaluation of Deep Learning Techniques for Skin Segmentation on Novel Abdominal Dataset. BIBE 2019: 752-759
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