23 citations · 71 across the 14 of their papers we have counts for
15 papers
Real-Time Multimodal Activity-Aware Error Detection in Robot-Assisted Surgery
Seyed Hamid Reza Roodabeh, Zongyu Li, Homa Alemzadeh
Robot-assisted minimally invasive surgery improves surgical precision but introduces complexity, making technical error detection essential for ensuring patient safety. Current exe…
Mixture-of-Finite-Mixtures Wishart Model for Clustering Covariance Matrices with an Application to Brain Functional Connectivity
Zongyu Li, Stefano Castruccio, Zhiyong Zhang
Data represented as covariance-type matrices arise in many fields, including brain functional connectivity and diffusion tensor imaging. We develop the MFM-Wishart, a Bayesian mode…
Learning Robust Recommenders from Noisy Implicit Feedback via GMM-Weighted Bayesian Transition Matrix
Zongyu Li, Xuanyu Liu, Gongce Cao +3
Label noise is a central challenge in learning from implicit feedback for recommendation. Conventional approaches discard noisy examples for robustness, but this sacrifices data ef…
Shorter SPECT Scans Using Self-supervised Coordinate Learning to Synthesize Skipped Projection Views
Zongyu Li, Yixuan Jia, Xiaojian Xu +3
Purpose: This study addresses the challenge of extended SPECT imaging duration under low-count conditions, as encountered in Lu-177 SPECT imaging, by developing a self-supervised l…
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference
Zongyu Li, Ian Reyes, Homa Alemzadeh
Surgical context inference has recently garnered significant attention in robot-assisted surgery as it can facilitate workflow analysis, skill assessment, and error detection. Howe…
Evaluating the Task Generalization of Temporal Convolutional Networks for Surgical Gesture and Motion Recognition using Kinematic Data
Kay Hutchinson, Ian Reyes, Zongyu Li +1
Fine-grained activity recognition enables explainable analysis of procedures for skill assessment, autonomy, and error detection in robot-assisted surgery. However, existing recogn…
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior
Zongyu Li, Jason Hu, Xiaojian Xu +2
Phase retrieval (PR) is a crucial problem in many imaging applications. This study focuses on resolving the holographic phase retrieval problem in situations where the measurements…
Towards Surgical Context Inference and Translation to Gestures
Kay Hutchinson, Zongyu Li, Ian Reyes +1
Manual labeling of gestures in robot-assisted surgery is labor intensive, prone to errors, and requires expertise or training. We propose a method for automated and explainable gen…
Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction
Zongyu Li, Yuni K. Dewaraja, Jeffrey A. Fessler
Training end-to-end unrolled iterative neural networks for SPECT image reconstruction requires a memory-efficient forward-backward projector for efficient backpropagation. This pap…
A Survey of Deep Causal Models and Their Industrial Applications
Zongyu Li, Xiaobo Guo, Siwei Qiang
The notion of causality assumes a paramount position within the realm of human cognition. Over the past few decades, there has been significant advancement in the domain of causal…
COMPASS: A Formal Framework and Aggregate Dataset for Generalized Surgical Procedure Modeling
Kay Hutchinson, Ian Reyes, Zongyu Li +1
Purpose: We propose a formal framework for the modeling and segmentation of minimally-invasive surgical tasks using a unified set of motion primitives (MPs) to enable more objectiv…
Runtime Detection of Executional Errors in Robot-Assisted Surgery
Zongyu Li, Kay Hutchinson, Homa Alemzadeh
Despite significant developments in the design of surgical robots and automated techniques for objective evaluation of surgical skills, there are still challenges in ensuring safet…
PDMM: A novel Primal-Dual Majorization-Minimization algorithm for Poisson Phase-Retrieval problem
Ghania Fatima, Zongyu Li, Aakash Arora +1
In this paper, we introduce a novel iterative algorithm for the problem of phase-retrieval where the measurements consist of only the magnitude of linear function of the unknown si…
Analysis of Executional and Procedural Errors in Dry-lab Robotic Surgery Experiments
Kay Hutchinson, Zongyu Li, Leigh A. Cantrell +2
Background Analyzing kinematic and video data can help identify potentially erroneous motions that lead to sub-optimal surgeon performance and safety-critical events in robot-assis…
Poisson Phase Retrieval in Very Low-count Regimes
Zongyu Li, Kenneth Lange, Jeffrey A. Fessler
This paper discusses phase retrieval algorithms for maximum likelihood (ML) estimation from measurements following independent Poisson distributions in very low-count regimes, e.g.…