Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS). - Ying P. Tabak; Xiaowu Sun; Carlos M. Nunez; Richard S. Johannes (J. Am. Medical Informatics Assoc., 2014)

A Method for Predicting Protein Complexes from Dynamic Weighted Protein-Protein Interaction Networks. - Lizhen Liu; Xiaowu Sun; Wei Song 010; Chao Du (J. Comput. Biol., 2018)

Formal verification of neural network controlled autonomous systems. - Xiaowu Sun; Haitham Khedr; Yasser Shoukry (HSCC, 2019)

DoS-Resilient Multi-Robot Temporal Logic Motion Planning. - Xiaowu Sun; Rohitkrishna Nambiar; Matthew Melhorn; Yasser Shoukry; Pierluigi Nuzzo 002 (ICRA, 2019)

Two-Level Lattice Neural Network Architectures for Control of Nonlinear Systems. - James Ferlez; Xiaowu Sun; Yasser Shoukry (CDC, 2020)

Nested MIMD-SIMD Parallelization for Heterogeneous Microprocessors. - Daniel Gerzhoy; Xiaowu Sun; Michael Zuzak; Donald Yeung (ACM Trans. Archit. Code Optim., 2020)

Provably Safe Model-Based Meta Reinforcement Learning: An Abstraction-Based Approach. - Xiaowu Sun; Wael Fatnassi; Ulices Santa Cruz; Yasser Shoukry (CDC, 2021)

Right Ventricle Segmentation via Registration and Multi-input Modalities in Cardiac Magnetic Resonance Imaging from Multi-disease, Multi-view and Multi-center. - Xiaowu Sun; Li-Hsin Cheng; Rob J. van der Geest (STACOM@MICCAI, 2021)

Provably Correct Training of Neural Network Controllers Using Reachability Analysis. - Xiaowu Sun; Yasser Shoukry (CoRR, 2021)

NNSynth: Neural Network Guided Abstraction-Based Controller Synthesis for Stochastic Systems. - Xiaowu Sun; Yasser Shoukry (CDC, 2022)

Contrastive Learning for Echocardiographic View Integration. - Li-Hsin Cheng; Xiaowu Sun; Rob J. van der Geest (MICCAI (4), 2022)

Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI. - Xiaowu Sun; Li-Hsin Cheng; Sven Plein; Pankaj Garg; Rob J. van der Geest (MICCAI (5), 2022)

Combination Special Data Augmentation and Sampling Inspection Network for Cardiac Magnetic Resonance Imaging Quality Classification. - Xiaowu Sun; Li-Hsin Cheng; Rob J. van der Geest (STACOM@MICCAI, 2022)

Safe Learning and Verification of Neural Network Controllers for Autonomous Systems - Xiaowu Sun (2022)

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. - Carlos Martín-Isla; Víctor M. Campello; Cristian Izquierdo; Kaisar Kushibar; Carla Sendra-Balcells; Polyxeni Gkontra; Alireza Sojoudi; Mitchell J. Fulton; Tewodros Weldebirhan Arega; Kumaradevan Punithakumar; Lei Li 020; Xiaowu Sun; et al. (IEEE J. Biomed. Health Informatics, 2023)

Graph Neural Network based Future Clinical Events Prediction from Invasive Coronary Angiography. - Xiaowu Sun; Theofilos Belmpas; Ortal Yona Senouf; Emmanuel Abbe; Pascal Frossard; Bernard De Bruyne; Olivier Muller; Stéphane Fournier; Thabo Mahendiran; Dorina Thanou (ISBI, 2024)

Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks. - Xiaowu Sun; Yasser Shoukry (IEEE Trans. Robotics, 2024)

Three-Dimensional Image Reconstruction of Breast Tumor by Electrical Impedance Tomography Based on Dimensional Grey Wolf Optimization Algorithm. - Jie He; Zhiyang Hong; Xiaowu Sun; Qi Deng; Mengyuan Zhu; Chengjun Zhu; Kai Liu 048; Bo Sun; Jiafeng Yao (IEEE Trans. Instrum. Meas., 2025)

CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography. - Camille Challier; Xiaowu Sun; Thabo Mahendiran; Ortal Yona Senouf; Bernard De Bruyne; Denise Auberson; Olivier Muller; Stéphane Fournier; Pascal Frossard; Emmanuel Abbe; Dorina Thanou (CoRR, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)