Quan Liu

According to our database, Quan Liu authored at least 57 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fine-grained Multi-class Nuclei Segmentation with Molecular-empowered All-in-SAM Model.

Xueyuan Li, Can Cui, Ruining Deng, Yucheng Tang, Quan Liu, Tianyuan Yao, Shunxing Bao, Naweed Chowdhury, Haichun Yang, Yuankai Huo

CoRR, August, 2025

Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology.

Can Cui, Xindong Zheng, Ruining Deng, Quan Liu, Tianyuan Yao, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Haichun Yang, Yaohong Wang, Yuankai Huo

CoRR, June, 2025

Advancing Multimodal Reasoning Capabilities of Multimodal Large Language Models via Visual Perception Reward.

Tong Xiao, Xin Xu, Zhenya Huang, Hongyu Gao, Quan Liu, Qi Liu, Enhong Chen

CoRR, June, 2025

Rep3D: Re-parameterize Large 3D Kernels with Low-Rank Receptive Modeling for Medical Imaging.

Ho Hin Lee, Quan Liu, Shunxing Bao, Yuankai Huo, Bennett A. Landman

CoRR, May, 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, Ruining Deng, Can Cui, Jialin Yue, Yizhe Lin, Tianyuan Yao, Juming Xiong, Junchao Zhu, Chongyu Qu, Yuechen Yang, Mitchell Wilkes, Xiao Wang, Parker VanValkenburgh, Steven A. Wernke, Yuankai Huo

CoRR, April, 2025

Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis.

Juming Xiong, Hou Xiong, Quan Liu, Ruining Deng, Regina N. Tyree, Girish Hiremath, Yuankai Huo

CoRR, February, 2025

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, Mengmeng Yin, Juming Xiong, Haichun Yang, Yuankai Huo

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, Tianyuan Yao, Can Cui, Junlin Guo, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

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, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, 2024

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology.

Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo

CoRR, 2024

Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation.

Lining Yu, Mengmeng Yin, Ruining Deng, Quan Liu, Tianyuan Yao, Can Cui, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, 2024

Dataset Distillation in Medical Imaging: A Feasibility Study.

Muyang Li, Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts, Yuankai Huo

CoRR, 2024

PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models.

Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, 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, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo

CoRR, 2024

Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results.

Jialin Yue, Tianyuan Yao, Ruining Deng, Quan Liu, Juming Xiong, Haichun Yang, Yuankai Huo

CoRR, 2024

mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis.

Quan Liu, Ruining Deng, Can Cui, Tianyuan Yao, Vishwesh Nath, Yucheng Tang, Yuankai Huo

CoRR, 2024

ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers.

Quan Liu, Brandon T. Swartz, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo

CoRR, 2024

Ts-FWE: Token-Aware Single-Shell Free Water Estimation for Brain Diffusion MRI.

Tianyuan Yao, Derek B. Archer, Zhiyuan Li, Leon Y. Cai, Praitayini Kanakaraj, Nancy Newlin, Quan Liu, Ruining Deng, Can Cui, Shunxing Bao, Kurt Schilling, Bennett A. Landman, Yuankai Huo

Proceedings of the Computational Diffusion MRI - 15th International Workshop, 2024

HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis.

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.

Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation.

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Physician Flexibility: Prompt-Guided Multi-class Pathological Segmentation for Diverse Outcomes.

Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2023

Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation.

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo

IEEE Trans. Biomed. Eng., September, 2023

DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution.

Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman

CoRR, 2023

Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers.

Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, 2023

Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology.

Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, Yuankai Huo

CoRR, 2023

Digital Modeling on Large Kernel Metamaterial Neural Network.

Quan Liu, Hanyu Zheng, Brandon T. Swartz, Ho Hin Lee, Zuhayr Asad, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo

CoRR, 2023

All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.

Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo

CoRR, 2023

Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision.

Hanyu Zheng, Quan Liu, Ivan I. Kravchenko, Xiaomeng Zhang, Yuankai Huo, Jason G. Valentine

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, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo

CoRR, 2023

Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.

Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo

CoRR, 2023

M²Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction.

Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation.

Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.

Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo

CoRR, 2022

Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation.

Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo

CoRR, 2022

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.

Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo

CoRR, 2022

Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool.

Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Integrate memory efficiency methods for self-supervised learning on pathological image analysis.

Quan Liu, Bryan A. Millis, Zuhayr Asad, Can Cui, William F. Dean, Isabelle T. Smith, Christopher Madden, Joseph T. Roland, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning.

Yuxuan Shi, Quan Liu, Jiachen Xu, Zuhayr Asad, Can Cui, Hernán Correa, Yash Choksi, Girish Hiremath, Yuankai Huo

Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022

Single Dynamic Network for Multi-label Renal Pathology Image Segmentation.

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.

Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.

Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking.

Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo

Medical Image Anal., 2021

Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques.

Yu-Ju Lee, David Hall, Quan Liu, Wen-Wei Liao, Ming-Chun Huang

Eng. Appl. Artif. Intell., 2021

Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data.

Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, 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, Yuxuan Shi, Steven A. Wernke, Yuankai Huo

CoRR, 2021

Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations.

Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

CoRR, 2021

ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations.

Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

Comput. Biol. Medicine, 2021

GAN based unsupervised segmentation: should we match the exact number of objects.

Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning.

Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Compound Figure Separation of Biomedical Images with Side Loss.

Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

SimTriplet: Simple Triplet Representation Learning with a Single GPU.

Quan Liu, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns.

Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

2020

ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis.

Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

CoRR, 2020

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking.

Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo

CoRR, 2020

2019

The Smart Insole: A Pilot Study of Fall Detection.

Xiaoye Qian, Haoyou Cheng, Diliang Chen, Quan Liu, Huan Chen, Haotian Jiang, Ming-Chun Huang

Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2019