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Arefin Shamsil

dblp:164/8533 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › surgical robotics
minimally invasive surgery
0.212015
A multi-sensory mechatronic device for localizing tumors in minimally invasive interventions · ICRA 2015
Medical and health informatics › computational pathology
tumor localization
0.212015
A multi-sensory mechatronic device for localizing tumors in minimally invasive interventions · ICRA 2015
Robotics › Robot manipulation
tactile sensing
0.112015
A multi-sensory mechatronic device for localizing tumors in minimally invasive interventions · ICRA 2015

Methods — techniques the papers use, named apart from their topics

ultrasound sensing · 0.4fluoroscopic imaging · 0.4
YearPublicationVenuePosition
2015 A multi-sensory mechatronic device for localizing tumors in minimally invasive interventions
abstract
Tumor localization in traditional lung resection surgery requires manual palpation of the deflated lung through a thoracotomy. It is a painful procedure that is not suitable for many patients. Therefore, a multisensory mechatronic device was designed to localize tumors using a minimally invasive approach. The device is sensorized with tactile, ultrasound and position sensors in order to obtain multimodal data of soft tissue in real time. This paper presents the validation of the efficiency and efficacy of this device via an ex vivo experimental study. Tumor pathology was simulated by embedding iodine-agar phantom tumors of varying shapes and sizes into porcine liver tissue. The device was then used to palpate the tissue to localize and visualize the simulated tumors. Markers were then placed on the location of the tumors and fluoroscopic imaging was performed on the tissue in order to determine the localization accuracy of the device. Our results show that the device localized 87.5% of the tumors with an average deviation from the tumor center of 3.42 mm.
Abelardo Escoto, Srikanth Bhattad, Arefin Shamsil, Andre Sanches, Ana Luisa Trejos, Michael D. Naish, Richard Malthaner, Rajnikant V. Patel
ICRA3