Naruhiko Ikoma

According to our database, Naruhiko Ikoma authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Novel Dual Layer Cascade Reliability Framework for an Informed and Intuitive Clinician-AI Interaction in Diagnosis of Colorectal Cancer Polyps.

Siddhartha Kapuria, Patrick Minot, Ariel Kapusta, Naruhiko Ikoma, Farshid Alambeigi

IEEE J. Biomed. Health Informatics, April, 2024

Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging.

Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi

CoRR, 2024

2023

Towards Reliable Colorectal Cancer Polyps Classification via Vision Based Tactile Sensing and Confidence-Calibrated Neural Networks.

Siddhartha Kapuria, Tarunraj G. Mohanraj, Nethra Venkatayogi, Ozdemir Can Kara, Yuki Hirata, Patrick Minot, Ariel Kapusta, Naruhiko Ikoma, Farshid Alambeigi

Proceedings of the International Symposium on Medical Robotics, 2023

A Smart Handheld Edge Device for on-Site Diagnosis and Classification of Texture and Stiffness of Excised Colorectal Cancer Polyps.

Ozdemir Can Kara, Jiaqi Xue, Nethra Venkatayogi, Tarunraj G. Mohanraj, Yuki Hirata, Naruhiko Ikoma, Seyed Farokh Atashzar, Farshid Alambeigi

IROS, 2023

Design and Development of a Novel Soft and Inflatable Tactile Sensing Balloon for Early Diagnosis of Colorectal Cancer Polyps.

Ozdemir Can Kara, Hansoul Kim, Jiaqi Xue, Tarunraj G. Mohanraj, Yuki Hirata, Naruhiko Ikoma, Farshid Alambeigi

IROS, 2023

2022

Protecting procedural care - cybersecurity considerations for robotic surgery.

William J. Gordon, Naruhiko Ikoma, Heather Lyu, Gretchen Purcell Jackson, Adam B. Landman

npj Digit. Medicine, 2022

Classification of Colorectal Cancer Polyps via Transfer Learning and Vision-Based Tactile Sensing.

Nethra Venkatayogi, Ozdemir Can Kara, Jeff Bonyun, Naruhiko Ikoma, Farshid Alambeigi

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

HySenSe: A Hyper-Sensitive and High-Fidelity Vision-Based Tactile Sensor.

Ozdemir Can Kara, Naruhiko Ikoma, Farshid Alambeigi

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022