The Smart Insole: A Pilot Study of Fall Detection. - Xiaoye Qian; Haoyou Cheng; Diliang Chen; Quan Liu 002; Huan Chen; Haotian Jiang; Ming-Chun Huang (BODYNETS, 2019)

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyskac; Yuankai Huo (CoRR, 2020)

ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (CoRR, 2020)

CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. - Ruining Deng; Quan Liu 002; Shunxing Bao; Aadarsh Jha; Catie Chang; Bryan A. Millis; Matthew J. Tyska; Yuankai Huo (DGM4MICCAI/DALI@MICCAI, 2021)

SimTriplet: Simple Triplet Representation Learning with a Single GPU. - Quan Liu 002; Peter C. Louis; Yuzhe Lu; Aadarsh Jha; Mengyang Zhao; Ruining Deng; Tianyuan Yao; Joseph T. Roland; Haichun Yang; Shilin Zhao; Lee E. Wheless; Yuankai Huo (MICCAI (2), 2021)

Compound Figure Separation of Biomedical Images with Side Loss. - Tianyuan Yao; Chang Qu; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; Bennett A. Landman; Catie Chang; et al. (DGM4MICCAI/DALI@MICCAI, 2021)

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. - Mengyang Zhao; Quan Liu 002; Aadarsh Jha; Ruining Deng; Tianyuan Yao; Anita Mahadevan-Jansen; Matthew J. Tyska; Bryan A. Millis; Yuankai Huo (MLMI@MICCAI, 2021)

GAN based unsupervised segmentation: should we match the exact number of objects. - Quan Liu 002; Isabella M. Gaeta; Bryan A. Millis; Matthew J. Tyska; Yuankai Huo (Image Processing, 2021)

ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (Comput. Biol. Medicine, 2021)

Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. - Quan Liu 002; Isabella M. Gaeta; Mengyang Zhao; Ruining Deng; Aadarsh Jha; Bryan A. Millis; Anita Mahadevan-Jansen; Matthew J. Tyska; Yuankai Huo (CoRR, 2021)

Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes. - Jiachen Xu; James Zimmer-Dauphinee; Quan Liu 002; Yuxuan Shi; Steven A. Wernke; Yuankai Huo (CoRR, 2021)

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data. - Ruining Deng; Quan Liu 002; Can Cui 006; Zuhayr Asad; Haichun Yang; Yuankai Huo (CoRR, 2021)

Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques. - Yu-Ju Lee; David Hall; Quan Liu 002; Wen-Wei Liao; Ming-Chun Huang (Eng. Appl. Artif. Intell., 2021)

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. - Mengyang Zhao; Aadarsh Jha; Quan Liu 002; Bryan A. Millis; Anita Mahadevan-Jansen; Le Lu 001; Bennett A. Landman; Matthew J. Tyska; Yuankai Huo (Medical Image Anal., 2021)

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. - Can Cui 006; Han Liu; Quan Liu 002; Ruining Deng; Zuhayr Asad; Yaohong Wang; Shilin Zhao; Haichun Yang; Bennett A. Landman; Yuankai Huo (MICCAI (5), 2022)

Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. - Quan Liu 002; Can Cui 006; Ruining Deng; Zuhayr Asad; Tianyuan Yao; Zheyu Zhu; Yuankai Huo (REMIA@MICCAI, 2022)

Single Dynamic Network for Multi-label Renal Pathology Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Zuhayr Asad; Haichun Yang; Yuankai Huo (MIDL, 2022)

Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning. - Yuxuan Shi; Quan Liu 002; Jiachen Xu; Zuhayr Asad; Can Cui 006; Hernán Correa; Yash Choksi; Girish Hiremath; Yuankai Huo (Digital and Computational Pathology, 2022)

Integrate memory efficiency methods for self-supervised learning on pathological image analysis. - Quan Liu 002; Bryan A. Millis; Zuhayr Asad; Can Cui 006; William F. Dean; Isabelle T. Smith; Christopher Madden; Joseph T. Roland; Jeffrey P. Zwerner; Shilin Zhao; Lee E. Wheless; Yuankai Huo (Image Processing, 2022)

Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool. - Zheyu Zhu; Ruining Deng; Quan Liu 002; Zuhayr Asad; Can Cui 006; Tianyuan Yao; Yuankai Huo (MIUA, 2022)

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. - Can Cui 006; Han Liu; Quan Liu 002; Ruining Deng; Zuhayr Asad; Yaohong Wang; Shilin Zhao; Haichun Yang; Bennett A. Landman; Yuankai Huo (CoRR, 2022)

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jun Long; Zuhayr Asad; R. Michael Womick; Zheyu Zhu; Agnes B. Fogo; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2022)

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. - Tianyuan Yao; Chang Qu; Jun Long; Quan Liu 002; Ruining Deng; Yuanhan Tian; Jiachen Xu; Aadarsh Jha; Zuhayr Asad; Shunxing Bao; Mengyang Zhao; Agnes B. Fogo; et al. (CoRR, 2022)

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. - Ruining Deng; Yanwei Li; Peize Li; Jiacheng Wang; Lucas W. Remedios; Saydolimkhon Agzamkhodjaev; Zuhayr Asad; Quan Liu 002; Can Cui 006; Yaohong Wang; Yihan Wang; Yucheng Tang; et al. (MICCAI (6), 2023)

Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. - Ho Hin Lee; Quan Liu 002; Shunxing Bao; Qi Yang 004; Xin Yu 010; Leon Y. Cai; Thomas Z. Li; Yuankai Huo; Xenofon D. Koutsoukos; Bennett A. Landman (MICCAI (4), 2023)

M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. - Quan Liu 002; Jiawen Yao; Lisha Yao; Xin Chen 058; Jingren Zhou 001; Le Lu 001; Ling Zhang 002; Zaiyi Liu; Yuankai Huo (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. - Ruining Deng; Can Cui 006; Quan Liu 002; Tianyuan Yao; Lucas W. Remedios; Shunxing Bao; Bennett A. Landman; Lee E. Wheless; Lori A. Coburn; Keith T. Wilson; Yaohong Wang; Shilin Zhao; et al. (CoRR, 2023)

Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. - Ruining Deng; Yanwei Li; Peize Li; Jiacheng Wang; Lucas W. Remedios; Saydolimkhon Agzamkhodjaev; Zuhayr Asad; Quan Liu 002; Can Cui 006; Yucheng Tang; Haichun Yang; Yuankai Huo (CoRR, 2023)

Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision. - Hanyu Zheng; Quan Liu 002; Ivan I. Kravchenko; Xiaomeng Zhang; Yuankai Huo; Jason G. Valentine (CoRR, 2023)

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. - Can Cui 006; Ruining Deng; Quan Liu 002; Tianyuan Yao; Shunxing Bao; Lucas W. Remedios; Yucheng Tang; Yuankai Huo (CoRR, 2023)

Digital Modeling on Large Kernel Metamaterial Neural Network. - Quan Liu 002; Hanyu Zheng; Brandon T. Swartz; Ho Hin Lee; Zuhayr Asad; Ivan I. Kravchenko; Jason G. Valentine; Yuankai Huo (CoRR, 2023)

Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology. - Jiayuan Chen 003; Yu Wang; Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Yilin Liu; Jianyong Zhong; Agnes B. Fogo; Haichun Yang; Shilin Zhao; Yuankai Huo (CoRR, 2023)

Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers. - Muhao Liu; Chenyang Qi; Shunxing Bao; Quan Liu 002; Ruining Deng; Yu Wang; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2023)

DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. - Ho Hin Lee; Quan Liu 002; Qi Yang 004; Xin Yu 010; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2023)

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jun Long; Zuhayr Asad; R. Michael Womick; Zheyu Zhu; Agnes B. Fogo; Shilin Zhao; Haichun Yang; Yuankai Huo (IEEE Trans. Biomed. Eng., 2023)

Enhancing Physician Flexibility: Prompt-Guided Multi-class Pathological Segmentation for Diverse Outcomes. - Can Cui 006; Ruining Deng; Junlin Guo; Quan Liu 002; Tianyuan Yao; Haichun Yang; Yuankai Huo (BHI, 2024)

PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Jialin Yue; Juming Xiong; Lining Yu; Yifei Wu; Mengmeng Yin; Yu Wang; Shilin Zhao; Yucheng Tang; et al. (CVPR, 2024)

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. - Shunxing Bao; Junlin Guo; Ho Hin Lee; Ruining Deng; Can Cui 006; Lucas W. Remedios; Quan Liu 002; Qi Yang 004; Kaiwen Xu; Xin Yu 010; Jia Li 027; Yike Li; et al. (ISBI, 2024)

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. - Ruining Deng; Quan Liu 002; Can Cui 006; Tianyuan Yao; Juming Xiong; Shunxing Bao; Hao Li; Mengmeng Yin; Yu Wang; Shilin Zhao; Yucheng Tang; Haichun Yang; et al. (MICCAI (4), 2024)

Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI. - Tianyuan Yao; Derek B. Archer; Zhiyuan Li 012; Leon Y. Cai; Praitayini Kanakaraj; Nancy Newlin; Quan Liu 002; Ruining Deng; Can Cui 006; Shunxing Bao; Kurt Schilling; Bennett A. Landman; et al. (CDMRI@MICCAI, 2024)

ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers. - Quan Liu 002; Brandon T. Swartz; Ivan I. Kravchenko; Jason G. Valentine; Yuankai Huo (CoRR, 2024)

mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. - Quan Liu 002; Ruining Deng; Can Cui 006; Tianyuan Yao; Vishwesh Nath; Yucheng Tang; Yuankai Huo (CoRR, 2024)

Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results. - Jialin Yue; Tianyuan Yao; Ruining Deng; Quan Liu 002; Juming Xiong; Haichun Yang; Yuankai Huo (CoRR, 2024)

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. - Yucheng Tang; Yufan He; Vishwesh Nath; Pengfei Guo; Ruining Deng; Tianyuan Yao; Quan Liu 002; Can Cui 006; Mengmeng Yin; Ziyue Xu 001; Holger Roth; Daguang Xu; et al. (CoRR, 2024)

PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models. - Can Cui 006; Ruining Deng; Junlin Guo; Quan Liu 002; Tianyuan Yao; Haichun Yang; Yuankai Huo (CoRR, 2024)

Dataset Distillation in Medical Imaging: A Feasibility Study. - Muyang Li; Can Cui 006; Quan Liu 002; Ruining Deng; Tianyuan Yao; Marilyn Lionts; Yuankai Huo (CoRR, 2024)

Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation. - Lining Yu; Mengmeng Yin; Ruining Deng; Quan Liu 002; Tianyuan Yao; Can Cui 006; Yu Wang; Yaohong Wang; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2024)

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology. - Junlin Guo; Siqi Lu; Can Cui 006; Ruining Deng; Tianyuan Yao; Zhewen Tao; Yizhe Lin; Marilyn Lionts; Quan Liu 002; Juming Xiong; Catie Chang; Mitchell Wilkes; et al. (CoRR, 2024)

How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment. - Junlin Guo; Siqi Lu; Can Cui 006; Ruining Deng; Tianyuan Yao; Zhewen Tao; Yizhe Lin; Marilyn Lionts; Quan Liu 002; Juming Xiong; Yu Wang; Shilin Zhao; et al. (CoRR, 2024)

Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse Histopathology. - Lining Yu; Mengmeng Yin; Ruining Deng; Quan Liu 002; Tianyuan Yao; Can Cui 006; Junlin Guo; Yu Wang; Yaohong Wang; Shilin Zhao; Haichun Yang; Yuankai Huo (CoRR, 2024)

GloFinder: AI-empowered QuPath Plugin for WSI-level Glomerular Detection, Visualization, and Curation. - Jialin Yue; Tianyuan Yao; Ruining Deng; Siqi Lu; Junlin Guo; Quan Liu 002; Mengmeng Yin; Juming Xiong; Haichun Yang; Yuankai Huo (CoRR, 2024)

Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis. - Juming Xiong; Hou Xiong; Quan Liu 002; Ruining Deng; Regina N. Tyree; Girish Hiremath; Yuankai Huo (CoRR, 2025)

DeepAndes: A Self-Supervised Vision Foundation Model for Multi-Spectral Remote Sensing Imagery of the Andes. - Junlin Guo; James Zimmer-Dauphinee; Jordan M. Nieusma; Siqi Lu; Quan Liu 002; Ruining Deng; Can Cui 006; Jialin Yue; Yizhe Lin; Tianyuan Yao; Juming Xiong; Junchao Zhu; et al. (CoRR, 2025)

Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging. - Ho Hin Lee; Quan Liu 002; Shunxing Bao; Yuankai Huo; Bennett A. Landman (CoRR, 2025)

Advancing Multimodal Reasoning Capabilities of Multimodal Large Language Models via Visual Perception Reward. - Tong Xiao; Xin Xu; Zhenya Huang; Hongyu Gao; Quan Liu 002; Qi Liu 003; Enhong Chen (CoRR, 2025)

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology. - Can Cui 006; Xindong Zheng; Ruining Deng; Quan Liu 002; Tianyuan Yao; Keith T. Wilson; Lori A. Coburn; Bennett A. Landman; Haichun Yang; Yaohong Wang; Yuankai Huo (CoRR, 2025)

Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model. - Xueyuan Li; Can Cui 006; Ruining Deng; Yucheng Tang; Quan Liu 002; Tianyuan Yao; Shunxing Bao; Naweed Chowdhury; Haichun Yang; Yuankai Huo (CoRR, 2025)