42 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ChicagoUS12 papers
- The University of Texas at AustinUS9 papers
- Northwestern UniversityUS5 papers
- Texas A&M UniversityUS2 papers
- Virginia TechUS2 papers
- Atacama Large Millimeter Submillimeter ArrayCL1 paper
- Baylor College of MedicineUS1 paper
- Beaumont HospitalIE1 paper
- Centre d'Imagerie BioMedicaleCH1 paper
- Centre Hospitalier Universitaire VaudoisCH1 paper
- Centro de AstrobiologíaES1 paper
- Chalmers University of TechnologySE1 paper
19 papers
Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
Reza T. Batley, Chanwook Park, Wing Kam Liu +1
Data-driven science and computation have advanced immensely to construct complex functional relationships using trainable parameters. However, efficiently discovering interpretable…
Tensor-decomposition-based A Priori Surrogate (TAPS) modeling for ultra large-scale simulations
Jiachen Guo, Gino Domel, Chanwook Park +8
A data-free, predictive scientific AI model, Tensor-decomposition-based A Priori Surrogate (TAPS), is proposed for tackling ultra large-scale engineering simulations with significa…
Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation
Huu Phong Nguyen, Shekhar Madhav Khairnar, Sofia Garces Palacios +6
The interest in leveraging Artificial Intelligence (AI) for surgical procedures to automate analysis has witnessed a significant surge in recent years. One of the primary tools for…
An ALCHEMI inspection of sulphur-bearing species towards the central molecular zone of NGC 253
M. Bouvier, S. Viti, E. Behrens +19
Sulphur-bearing species are detected in various environments within Galactic star-forming regions and are particularly abundant in the gas phase of outflows and shocks, and photo-d…
Deep-Learning Estimation of Weight Distribution Using Joint Kinematics for Lower-Limb Exoskeleton Control
Clément Lhoste, Emek Barış Küçüktabak, Lorenzo Vianello +4
In the control of lower-limb exoskeletons with feet, the phase in the gait cycle can be identified by monitoring the weight distribution at the feet. This phase information can be…
Effects of phylogeny on coexistence in model communities
Carlos A. Servan, Jose A. Capitan, Zachary R. Miller +1
Species' interactions are shaped by their traits. Thus, we expect traits -- in particular, trait (dis)similarity -- to play a central role in determining whether a particular set o…
Natively Fat-Suppressed 5D Whole-Heart MRI with a Radial Free-Running Fast-Interrupted Steady-State (FISS) Sequence at 1.5T and 3T
Jessica AM Bastiaansen, Davide Piccini, Lorenzo Di Sopra +5
Purpose: To implement, optimize and test fast interrupted steady-state (FISS) for natively fat-suppressed free-running 5D whole-heart MRI at 1.5T and 3T. Methods: FISS was implemen…
Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records
Yang Ni, Peter Mueller, Yuan Ji
We propose a categorical matrix factorization method to infer latent diseases from electronic health records (EHR) data in an unsupervised manner. A latent disease is defined as an…
Scalable Bayesian Nonparametric Clustering and Classification
Yang Ni, Peter Müller, Maurice Diesendruck +3
We develop a scalable multi-step Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification. Each step is "embarrass…
AAA: Triple-adaptive Bayesian designs for the identification of optimal dose combinations in dual-agent dose-finding trials
Jiaying Lyu, Yuan Ji, Naiqing Zhao +1
We propose a flexible design for the identification of optimal dose combinations in dual-agent dose-finding clinical trials. The design is called AAA, standing for three adaptation…
TreeClone: Reconstruction of Tumor Subclone Phylogeny Based on Mutation Pairs using Next Generation Sequencing Data
Tianjian Zhou, Subhajit Sengupta, Peter Mueller +1
We present TreeClone, a latent feature allocation model to reconstruct tumor subclones subject to phylogenetic evolution that mimics tumor evolution. Similar to most current method…
PairClone: A Bayesian Subclone Caller Based on Mutation Pairs
Tianjian Zhou, Peter Mueller, Subhajit Sengupta +1
Tumor cell populations can be thought of as being composed of homogeneous cell subpopulations, with each subpopulation being characterized by overlapping sets of single nucleotide…
Heterogeneous Reciprocal Graphical Models
Yang Ni, Peter Mueller, Yitan Zhu +1
We develop novel hierarchical reciprocal graphical models to infer gene networks from heterogeneous data. In the case of data that can be naturally divided into known groups, we pr…
Community Detection with Node Attributes and its Generalization
Yuan Li
Community detection algorithms are fundamental tools to understand organizational principles in social networks. With the increasing power of social media platforms, when detecting…
A Bayesian feature allocation model for tumor heterogeneity
Juhee Lee, Peter Müller, Kamalakar Gulukota +1
We develop a feature allocation model for inference on genetic tumor variation using next-generation sequencing data. Specifically, we record single nucleotide variants (SNVs) base…
Convex Analysis of Mixtures for Separating Non-negative Well-grounded Sources
Yitan Zhu, Niya Wang, David J. Miller +1
Blind Source Separation (BSS) has proven to be a powerful tool for the analysis of composite patterns in engineering and science. We introduce Convex Analysis of Mixtures (CAM) for…
Bayesian sparse graphical models for classification with application to protein expression data
Veerabhadran Baladandayuthapani, Rajesh Talluri, Yuan Ji +5
Reverse-phase protein array (RPPA) analysis is a powerful, relatively new platform that allows for high-throughput, quantitative analysis of protein networks. One of the challenges…
Subgroup-Based Adaptive (SUBA) Designs for Multi-Arm Biomarker Trials
Yanxun Xu, Lorenzo Trippa, Peter Müller +1
Targeted therapies based on biomarker profiling are becoming a mainstream direction of cancer research and treatment. Depending on the expression of specific prognostic biomarkers,…
MAD Bayes for Tumor Heterogeneity Feature Allocation with Non-Normal Sampling
Yanxun Xu, Peter Mueller, Yuan Yuan +2
We propose small-variance asymptotic approximations for the inference of tumor heterogeneity (TH) using next-generation sequencing data. Understanding TH is an important and open r…