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Showing results for arezzo a semi
Your search for Arezoo Assemi retrieved no results
Robotic Autonomy for Magnetic Endoscope Biopsy.
Martin JW, Barducci L, Scaglioni B, Norton JC, Winters C, Subramanian V, Arezzo A, Obstein KL, Valdastri P. Martin JW, et al. Among authors: arezzo a. IEEE Trans Med Robot Bionics. 2022 Aug;4(3):599-607. doi: 10.1109/TMRB.2022.3187028. Epub 2022 Jun 29. IEEE Trans Med Robot Bionics. 2022. PMID: 36249558 Free PMC article.
We have developed control strategies with varying levels of robotic autonomy, including semi-autonomous routines for identifying and performing targeted biopsy, as well as random quadrant biopsy. We present and compare the performance of these approaches to magnetic endosc …
We have developed control strategies with varying levels of robotic autonomy, including semi-autonomous routines for identifying and …
Small bowel to closest human body surface distance calculation through a custom-made software using CT-based datasets.
Chiurazzi M, Damone A, Finocchiaro M, Farnesi F, Secco GL, Forcignano E, Arezzo A, Ciuti G. Chiurazzi M, et al. Among authors: arezzo a. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:2903-2909. doi: 10.1109/EMBC46164.2021.9630828. Annu Int Conf IEEE Eng Med Biol Soc. 2021. PMID: 34891853
However, to properly design localization and navigation strategies for capsule endoscopes, the knowledge of anatomical features is paramount. Therefore, authors developed a semi-automatic software for measuring the distance between the small bowel and the closest human ext …
However, to properly design localization and navigation strategies for capsule endoscopes, the knowledge of anatomical features is paramount …
A reproducible framework for synthetic data generation and instance segmentation in robotic suturing.
Leoncini P, Marzola F, Pescio M, Casadio M, Arezzo A, Dagnino G. Leoncini P, et al. Among authors: arezzo a. Int J Comput Assist Radiol Surg. 2025 Aug;20(8):1567-1576. doi: 10.1007/s11548-025-03460-8. Epub 2025 Jun 24. Int J Comput Assist Radiol Surg. 2025. PMID: 40553295 Free PMC article.
By sharing 3D models, Unity environments and annotated datasets, this work provides resources for creating additional images, expanding datasets, and enabling fine-tuning or semi-supervised learning. By facilitating further exploration, this work lays a foundation for adva …
By sharing 3D models, Unity environments and annotated datasets, this work provides resources for creating additional images, expanding data …