8 citations · 14 across the 5 of their papers we have counts for
6 papers
High-spatial resolution, high-quality white matter tractography using DTI with dynamic slice-by-slice B0 shimming in a head-only high-gradient performance 3T MRI scanner
Jerome J. Maller, Patricia Lan, Sherry Huang +4
Data from conventional diffusion tensor imaging (DTI) using single-shot echo planar imaging (SS-EPI) acquisition are substantially influenced by magnetic field inhomogeneities (del…
Human brain high-resolution diffusion MRI with optimized slice-by-slice B0 field shimming in head-only high-performance gradient MRI systems
Patricia Lan, Sherry S. Huang, Chitresh Bhushan +6
The purpose of this study is to propose a brain tissue-selective, optimized slice-by-slice B0 field shimming for high-resolution brain diffusion MRI. We incorporated actual gradien…
Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation
Zhanyue Zhao, Benjamin Szewczyk, Matthew Tarasek +23
Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally invasive option for intervening in malignant brain tumors, commonly used in thermal ablation procedures. Th…
One-shot Localization and Segmentation of Medical Images with Foundation Models
Deepa Anand, Gurunath Reddy M, Vanika Singhal +10
Recent advances in Vision Transformers (ViT) and Stable Diffusion (SD) models with their ability to capture rich semantic features of the image have been used for image corresponde…
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
Alberto Santamaria-Pang, James Kubricht, Aritra Chowdhury +2
Recent advances in methods focused on the grounding problem have resulted in techniques that can be used to construct a symbolic language associated with a specific domain. Inspire…
Variational Encoder-based Reliable Classification
Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani +1
Machine learning models provide statistically impressive results which might be individually unreliable. To provide reliability, we propose an Epistemic Classifier (EC) that can pr…