Hua Li - RankMe

72 papers A* 1B 4Journal 37Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images. Eng. Appl. Artif. Intell. Zong Fan, Chaojie Zhang, Lulu Sun, Wade Thorstad, Hiram Gay, Xiaowei Wang, Hua Li
2025	J	`jnl`	Generation of super-resolution for medical image via a self-prior guided Mamba network with edge-aware constraint. Pattern Recognit. Lett. Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025	J	`jnl`	Mamba Based Feature Extraction And Adaptive Multilevel Feature Fusion For 3D Tumor Segmentation From Multi-modal Medical Image. CoRR Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025	—	`conf`	Mamba Based Feature Extraction and Adaptive Multilevel Feature Fusion for 3D Tumor Segmentation from Multi-modal Medical Image. ICIC (28) Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2024	J	`jnl`	Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context. IEEE Trans. Medical Imaging Rucha Deshpande, Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks
2024	J	`jnl`	Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging. CoRR Zhuchen Shao, Mark A. Anastasio, Hua Li
2023	B	`conf`	An auxiliary attention-based network for joint classification and localization of breast tumor on ultrasound images. Image Processing Zong Fan, Ping Gong, Shanshan Tang, Christine U. Lee, Xiaohui Zhang, Zhimin Wang, Pengfei Song, Shigao Chen, Hua Li
2023	J	`jnl`	Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context. CoRR Rucha Deshpande, Muzaffer Özbey, Hua Li, Mark A. Anastasio, Frank J. Brooks
2023	—	`conf`	Deep-supervised adversarial learning-based classification for digital histologic images. Digital and Computational Pathology Zhimin Wang, Zong Fan, Lulu Sun, Yao Hao, Hiram A. Gay, Wade L. Thorstad, Xiaowei Wang, Hua Li
2023	—	`conf`	Estimating task-based performance bounds for image reconstruction methods by use of learned-ideal observers. Image Perception, Observer Performance, and Technology Assessment Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2023	J	`jnl`	Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework. Medical Image Anal. Zong Fan, Ping Gong, Shanshan Tang, Christine U. Lee, Xiaohui Zhang, Pengfei Song, Shigao Chen, Hua Li
2023	—	`conf`	Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy. IPTA Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Hua Li, Pierre Vera, Pierre Decazes, Su Ruan
2023	—	`conf`	Semi-supervised contrastive learning for white blood cell segmentation from label-free quantitative phase imaging. Digital and Computational Pathology Sourya Sengupta, Michael John Fanous, Hua Li, Mark A. Anastasio
2022	J	`jnl`	A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods. IEEE Trans. Medical Imaging Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2022	J	`jnl`	A novel adversarial learning strategy for medical image classification. CoRR Zong Fan, Xiaohui Zhang, Jacob A. Gasienica, Jennifer Potts, Su Ruan, Wade Thorstad, Hiram Gay, Xiaowei Wang, Hua Li
2022	—	`conf`	A task-informed model training method for deep neural network-based image denoising. Image Perception, Observer Performance, and Technology Assessment Kaiyan Li, Hua Li, Mark A. Anastasio
2022	B	`conf`	Application of DatasetGAN in medical imaging: preliminary studies. Image Processing Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li
2022	J	`jnl`	Application of DatasetGAN in medical imaging: preliminary studies. CoRR Zong Fan, Varun A. Kelkar, Mark A. Anastasio, Hua Li
2022	J	`jnl`	Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework. CoRR Zong Fan, Ping Gong, Shanshan Tang, Christine U. Lee, Xiaohui Zhang, Pengfei Song, Shigao Chen, Hua Li
2021	J	`jnl`	A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers. Bioinform. Shenghua He, Chunfeng Lian, Wade Thorstad, Hiram Gay, Yujie Zhao, Su Ruan, Xiaowei Wang, Hua Li
2021	—	`conf`	Advancing the AmbientGAN for learning stochastic object models. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021	J	`jnl`	Advancing the AmbientGAN for learning stochastic object models. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021	J	`jnl`	Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks. IEEE Trans. Medical Imaging Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2021	—	`conf`	Deep learning-based multi-class COVID-19 classification with x-ray images. Image-Guided Procedures Zong Fan, Shenghua He, Su Ruan, Xiaowei Wang, Hua Li
2021	J	`jnl`	Deeply-supervised density regression for automatic cell counting in microscopy images. Medical Image Anal. Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li
2021	J	`jnl`	Impact of deep learning-based image super-resolution on binary signal detection. CoRR Xiaohui Zhang, Varun A. Kelkar, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021	J	`jnl`	Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2021	J	`jnl`	Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise. ACM Comput. Surv. Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao
2021	—	`conf`	Supervised learning-based ideal observer approximation for joint detection and estimation tasks. Image Perception, Observer Performance, and Technology Assessment Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2021	—	`conf`	Task-based evaluation of deep image super-resolution in medical imaging. Image Perception, Observer Performance, and Technology Assessment Varun A. Kelkar, Xiaohui Zhang, Jason L. Granstedt, Hua Li, Mark A. Anastasio
2021	—	`conf`	Task-based performance evaluation of deep neural network-based image denoising. Image Perception, Observer Performance, and Technology Assessment Kaiyan Li, Weimin Zhou, Hua Li, Mark A. Anastasio
2020	J	`jnl`	Approximating the Ideal Observer for Joint Signal Detection and Localization Tasks by use of Supervised Learning Methods. IEEE Trans. Medical Imaging Weimin Zhou, Hua Li, Mark A. Anastasio
2020	J	`jnl`	Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods. CoRR Weimin Zhou, Hua Li, Mark A. Anastasio
2020	—	`conf`	Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction. ISBI Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan
2020	J	`jnl`	Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images. CoRR Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li
2020	J	`jnl`	Learning Numerical Observers using Unsupervised Domain Adaptation. CoRR Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio
2020	—	`conf`	Learning numerical observers using unsupervised domain adaptation. Image Perception, Observer Performance, and Technology Assessment Shenghua He, Weimin Zhou, Hua Li, Mark A. Anastasio
2020	J	`jnl`	Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020	J	`jnl`	Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation. Comput. Biol. Medicine Amine Amyar, Romain Modzelewski, Hua Li, Su Ruan
2020	J	`jnl`	Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements. CoRR Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2020	—	`conf`	Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Sayantan Bhadra, Frank J. Brooks, Hua Li, Mark A. Anastasio
2019	J	`jnl`	Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection Tasks by Use of Supervised Learning Methods. IEEE Trans. Medical Imaging Weimin Zhou, Hua Li, Mark A. Anastasio
2019	J	`jnl`	Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods. CoRR Weimin Zhou, Hua Li, Mark A. Anastasio
2019	—	`conf`	Automatic microscopic cell counting by use of deeply-supervised density regression model. Digital Pathology Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li
2019	J	`jnl`	Automatic microscopic cell counting by use of deeply-supervised density regression model. CoRR Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li
2019	—	`conf`	Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression. Digital Pathology Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark A. Anastasio
2019	J	`jnl`	Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression. CoRR Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Hua Li, Mark A. Anastasio
2019	J	`jnl`	Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy. Int. J. Comput. Assist. Radiol. Surg. Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan
2019	J	`jnl`	Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. IEEE Trans. Image Process. Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2019	—	`conf`	Learning the Hotelling observer for SKE detection tasks by use of supervised learning methods. Image Perception, Observer Performance, and Technology Assessment Weimin Zhou, Hua Li, Mark A. Anastasio
2018	J	`jnl`	A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images. Medical Image Anal. Jian Wu, Thomas R. Mazur, Su Ruan, Chunfeng Lian, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Mark A. Anastasio, H. Michael Gach, Sasa Mutic, Maria Thomas, Hua Li
2018	—	`conf`	Active learning with noise modeling for medical image annotation. ISBI Jian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li
2018	B	`conf`	Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images. Image Processing Shenghua He, Jie Zheng, Akiko Maehara, Gary S. Mintz, Dalin Tang, Mark A. Anastasio, Hua Li
2018	J	`jnl`	Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images. CoRR Shenghua He, Jie Zheng, Akiko Maehara, Gary S. Mintz, Dalin Tang, Mark A. Anastasio, Hua Li
2018	—	`conf`	Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method. ISBI Jian Wu, Su Ruan, Thomas R. Mazur, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Chunfeng Lian, H. Michael Gach, Sasa Mutic, Maria Thomas, Mark A. Anastasio, Hua Li
2018	J	`jnl`	Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Trans. Biomed. Eng. Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2018	—	`conf`	Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion. ISBI Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan
2017	A*	`conf`	Adaptive Low-Rank Multi-Label Active Learning for Image Classification. ACM Multimedia Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui, Hua Li
2017	—	`conf`	Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. ISBI Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016	—	`conf`	Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. MICCAI (2) Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2015	—	`conf`	Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. MICCAI (3) Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2009	—	`conf`	3D Multi-branch Tubular Surface and Centerline Extraction with 4D Iterative Key Points. MICCAI (1) Hua Li, Anthony J. Yezzi, Laurent D. Cohen
2007	J	`jnl`	Local or Global Minima: Flexible Dual-Front Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. Hua Li, Anthony J. Yezzi
2007	J	`jnl`	Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines. IEEE Trans. Medical Imaging Hua Li, Anthony J. Yezzi
2006	J	`jnl`	3D Brain Segmentation Using Dual-Front Active Contours with Optional User Interaction. Int. J. Biomed. Imaging Hua Li, Anthony J. Yezzi, Laurent D. Cohen
2006	—	`conf`	Vessels as 4D Curves: Global Minimal 4D Paths to Extract 3D Tubular Surfaces. CVPR Workshops Hua Li, Anthony J. Yezzi
2005	—	`conf`	A hybrid medical image segmentation approach based on dual-front evolution model. ICIP (2) Hua Li, Anthony J. Yezzi
2005	—	`conf`	Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction. CVBIA Hua Li, Anthony J. Yezzi, Laurent D. Cohen
2005	—	`conf`	Local or Global Minima: Flexible Dual-Front Active Contours. CVBIA Hua Li, Anthony J. Yezzi
2004	B	`conf`	3d medical image segmentation approach based on multi-label front propagation. ICIP Hua Li, Abderrahim Elmoataz, Jalal Fadili, Su Ruan, Barbara Romaniuk
2004	—	`conf`	A Multi-Label Front Propagation Approach for Object Segmentation. ICPR (1) Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan
2004	—	`conf`	Dual Front Evolution Model and Its Application in Medical Imaging. MICCAI (1) Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan