5 papers
RepSAM: Bridging Foundation Models to Robotic Vision via Representation-Guided Adaptation
Wenhui Chu
Robotic perception in unstructured environments remains challenging despite the zero-shot capabilities of foundation models such as SAM. This work attributes performance degradatio…
Simulations and Advancements in MRI-Guided Power-Driven Ferric Tools for Wireless Therapeutic Interventions
Wenhui Chu, Aobo Jin, Hardik A. Gohel
Designing a robotic system that functions effectively within the specific environment of a Magnetic Resonance Imaging (MRI) scanner requires solving numerous technical issues, such…
A Novel Deep Learning Method for Segmenting the Left Ventricle in Cardiac Cine MRI
Wenhui Chu, Aobo Jin, Hardik A. Gohel
This research aims to develop a novel deep learning network, GBU-Net, utilizing a group-batch-normalized U-Net framework, specifically designed for the precise semantic segmentatio…
Simulations of MRI Guided and Powered Ferric Applicators for Tetherless Delivery of Therapeutic Interventions
Wenhui Chu, Khang Tran, Nikolaos V. Tsekos
Magnetic Resonance Imaging (MRI) is a well-established modality for pre-operative planning and is also explored for intra-operative guidance of procedures such as intravascular int…
Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI
Wenhui Chu, Nikolaos V. Tsekos
Left ventricle (LV) segmentation is critical for clinical quantification and diagnosis of cardiac images. In this work, we propose two novel deep learning architectures called LNU-…