Login / Signup
Hua Li
ORCID
Publication Activity (10 Years)
Years Active: 2004-2024
Publications (10 Years): 51
Top Topics
Denoising
Pet Images
Object Models
Cancer Treatment
Top Venues
CoRR
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
ISBI
IEEE Trans. Medical Imaging
</>
Publications
</>
Zhuchen Shao
,
Mark A. Anastasio
,
Hua Li
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging.
CoRR
(2024)
Zong Fan
,
Ping Gong
,
Shanshan Tang
,
Christine U. Lee
,
Xiaohui Zhang
,
Zhimin Wang
,
Pengfei Song
,
Shigao Chen
,
Hua Li
An auxiliary attention-based network for joint classification and localization of breast tumor on ultrasound images.
Medical Imaging: Image Processing
(2023)
Rucha Deshpande
,
Muzaffer Özbey
,
Hua Li
,
Mark A. Anastasio
,
Frank J. Brooks
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context.
CoRR
(2023)
Kaiyan Li
,
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Estimating task-based performance bounds for image reconstruction methods by use of learned-ideal observers.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2023)
Thibaud Brochet
,
Jérôme Lapuyade-Lahorgue
,
Hua Li
,
Pierre Vera
,
Pierre Decazes
,
Su Ruan
Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy.
IPTA
(2023)
Zong Fan
,
Ping Gong
,
Shanshan Tang
,
Christine U. Lee
,
Xiaohui Zhang
,
Pengfei Song
,
Shigao Chen
,
Hua Li
Joint localization and classification of breast masses on ultrasound images using an auxiliary attention-based framework.
Medical Image Anal.
90 (2023)
Kaiyan Li
,
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
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
41 (5) (2022)
Zong Fan
,
Xiaohui Zhang
,
Jacob A. Gasienica
,
Jennifer Potts
,
Su Ruan
,
Wade Thorstad
,
Hiram Gay
,
Xiaowei Wang
,
Hua Li
A novel adversarial learning strategy for medical image classification.
CoRR
(2022)
Zong Fan
,
Varun A. Kelkar
,
Mark A. Anastasio
,
Hua Li
Application of DatasetGAN in medical imaging: preliminary studies.
Medical Imaging: Image Processing
(2022)
Zong Fan
,
Ping Gong
,
Shanshan Tang
,
Christine U. Lee
,
Xiaohui Zhang
,
Pengfei Song
,
Shigao Chen
,
Hua Li
Joint localization and classification of breast tumors on ultrasound images using a novel auxiliary attention-based framework.
CoRR
(2022)
Zong Fan
,
Varun A. Kelkar
,
Mark A. Anastasio
,
Hua Li
Application of DatasetGAN in medical imaging: preliminary studies.
CoRR
(2022)
Kaiyan Li
,
Hua Li
,
Mark A. Anastasio
A task-informed model training method for deep neural network-based image denoising.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2022)
Weimin Zhou
,
Sayantan Bhadra
,
Frank J. Brooks
,
Jason L. Granstedt
,
Hua Li
,
Mark A. Anastasio
Advancing the AmbientGAN for learning stochastic object models.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2021)
Xiaohui Zhang
,
Varun A. Kelkar
,
Jason L. Granstedt
,
Hua Li
,
Mark A. Anastasio
Impact of deep learning-based image super-resolution on binary signal detection.
CoRR
(2021)
Zong Fan
,
Shenghua He
,
Su Ruan
,
Xiaowei Wang
,
Hua Li
Deep learning-based multi-class COVID-19 classification with x-ray images.
Medical Imaging: Image-Guided Procedures
(2021)
Kaiyan Li
,
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Supervised learning-based ideal observer approximation for joint detection and estimation tasks.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2021)
Varun A. Kelkar
,
Xiaohui Zhang
,
Jason L. Granstedt
,
Hua Li
,
Mark A. Anastasio
Task-based evaluation of deep image super-resolution in medical imaging.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2021)
Shenghua He
,
Chunfeng Lian
,
Wade Thorstad
,
Hiram Gay
,
Yujie Zhao
,
Su Ruan
,
Xiaowei Wang
,
Hua Li
A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers.
Bioinform.
37 (19) (2021)
Kaiyan Li
,
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Task-based performance evaluation of deep neural network-based image denoising.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2021)
Weimin Zhou
,
Sayantan Bhadra
,
Frank J. Brooks
,
Jason L. Granstedt
,
Hua Li
,
Mark A. Anastasio
Advancing the AmbientGAN for learning stochastic object models.
CoRR
(2021)
Weimin Zhou
,
Sayantan Bhadra
,
Frank J. Brooks
,
Hua Li
,
Mark A. Anastasio
Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs.
CoRR
(2021)
Shenghua He
,
Kyaw Thu Minn
,
Lilianna Solnica-Krezel
,
Mark A. Anastasio
,
Hua Li
Deeply-supervised density regression for automatic cell counting in microscopy images.
Medical Image Anal.
68 (2021)
Kaiyan Li
,
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks.
IEEE Trans. Medical Imaging
40 (9) (2021)
Shenghua He
,
Kyaw Thu Minn
,
Lilianna Solnica-Krezel
,
Mark A. Anastasio
,
Hua Li
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images.
CoRR
(2020)
Weimin Zhou
,
Sayantan Bhadra
,
Frank J. Brooks
,
Hua Li
,
Mark A. Anastasio
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements.
CoRR
(2020)
Shenghua He
,
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Learning numerical observers using unsupervised domain adaptation.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2020)
Amine Amyar
,
Romain Modzelewski
,
Hua Li
,
Su Ruan
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation.
Comput. Biol. Medicine
126 (2020)
Shenghua He
,
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Learning Numerical Observers using Unsupervised Domain Adaptation.
CoRR
(2020)
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods.
CoRR
(2020)
Yu Guo
,
Pierre Decazes
,
Stéphanie Becker
,
Hua Li
,
Su Ruan
Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction.
ISBI
(2020)
Weimin Zhou
,
Sayantan Bhadra
,
Frank J. Brooks
,
Hua Li
,
Mark A. Anastasio
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs.
CoRR
(2020)
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Approximating the Ideal Observer for Joint Signal Detection and Localization Tasks by use of Supervised Learning Methods.
IEEE Trans. Medical Imaging
39 (12) (2020)
Weimin Zhou
,
Sayantan Bhadra
,
Frank J. Brooks
,
Hua Li
,
Mark A. Anastasio
Progressively-Growing AmbientGANs for learning stochastic object models from imaging measurements.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2020)
Chunfeng Lian
,
Su Ruan
,
Thierry Denoeux
,
Hua Li
,
Pierre Vera
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions.
IEEE Trans. Image Process.
28 (2) (2019)
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Learning the Hotelling observer for SKE detection tasks by use of supervised learning methods.
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
(2019)
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods.
CoRR
(2019)
Shenghua He
,
Kyaw Thu Minn
,
Lilianna Solnica-Krezel
,
Hua Li
,
Mark A. Anastasio
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression.
Medical Imaging: Digital Pathology
(2019)
Weimin Zhou
,
Hua Li
,
Mark A. Anastasio
Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection Tasks by Use of Supervised Learning Methods.
IEEE Trans. Medical Imaging
38 (10) (2019)
Shenghua He
,
Kyaw Thu Minn
,
Lilianna Solnica-Krezel
,
Mark A. Anastasio
,
Hua Li
Automatic microscopic cell counting by use of deeply-supervised density regression model.
Medical Imaging: Digital Pathology
(2019)
Shenghua He
,
Kyaw Thu Minn
,
Lilianna Solnica-Krezel
,
Hua Li
,
Mark A. Anastasio
Automatic microscopic cell counting by use of unsupervised adversarial domain adaptation and supervised density regression.
CoRR
(2019)
Shenghua He
,
Kyaw Thu Minn
,
Lilianna Solnica-Krezel
,
Mark A. Anastasio
,
Hua Li
Automatic microscopic cell counting by use of deeply-supervised density regression model.
CoRR
(2019)
Haigen Hu
,
Pierre Decazes
,
Pierre Vera
,
Hua Li
,
Su Ruan
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.
Int. J. Comput. Assist. Radiol. Surg.
14 (10) (2019)
Chunfeng Lian
,
Hua Li
,
Pierre Vera
,
Su Ruan
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion.
ISBI
(2018)
Jian Wu
,
Su Ruan
,
Chunfeng Lian
,
Sasa Mutic
,
Mark A. Anastasio
,
Hua Li
Active learning with noise modeling for medical image annotation.
ISBI
(2018)
Shenghua He
,
Jie Zheng
,
Akiko Maehara
,
Gary S. Mintz
,
Dalin Tang
,
Mark A. Anastasio
,
Hua Li
Convolutional neural network based automatic plaque characterization from intracoronary optical coherence tomography images.
CoRR
(2018)
Shenghua He
,
Jie Zheng
,
Akiko Maehara
,
Gary S. Mintz
,
Dalin Tang
,
Mark A. Anastasio
,
Hua Li
Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images.
Medical Imaging: Image Processing
(2018)
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
Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method.
ISBI
(2018)
Chunfeng Lian
,
Su Ruan
,
Thierry Denoeux
,
Hua Li
,
Pierre Vera
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images.
IEEE Trans. Biomed. Eng.
65 (1) (2018)
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
A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.
Medical Image Anal.
47 (2018)
Chunfeng Lian
,
Su Ruan
,
Thierry Denoeux
,
Hua Li
,
Pierre Vera
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric.
ISBI
(2017)
Chunfeng Lian
,
Su Ruan
,
Thierry Denoeux
,
Hua Li
,
Pierre Vera
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images.
MICCAI (2)
(2016)
Chunfeng Lian
,
Su Ruan
,
Thierry Denoeux
,
Hua Li
,
Pierre Vera
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.
MICCAI (3)
(2015)
Hua Li
,
Anthony J. Yezzi
,
Laurent D. Cohen
3D Multi-branch Tubular Surface and Centerline Extraction with 4D Iterative Key Points.
MICCAI (1)
(2009)
Hua Li
,
Anthony J. Yezzi
Local or Global Minima: Flexible Dual-Front Active Contours.
IEEE Trans. Pattern Anal. Mach. Intell.
29 (1) (2007)
Hua Li
,
Anthony J. Yezzi
Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines.
IEEE Trans. Medical Imaging
26 (9) (2007)
Hua Li
,
Anthony J. Yezzi
Vessels as 4D Curves: Global Minimal 4D Paths to Extract 3D Tubular Surfaces.
CVPR Workshops
(2006)
Hua Li
,
Anthony J. Yezzi
,
Laurent D. Cohen
3D Brain Segmentation Using Dual-Front Active Contours with Optional User Interaction.
Int. J. Biomed. Imaging
2006 (2006)
Hua Li
,
Anthony J. Yezzi
,
Laurent D. Cohen
Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction.
CVBIA
(2005)
Hua Li
,
Anthony J. Yezzi
A hybrid medical image segmentation approach based on dual-front evolution model.
ICIP (2)
(2005)
Hua Li
,
Anthony J. Yezzi
Local or Global Minima: Flexible Dual-Front Active Contours.
CVBIA
(2005)
Hua Li
,
Abderrahim Elmoataz
,
Mohamed-Jalal Fadili
,
Su Ruan
A Multi-Label Front Propagation Approach for Object Segmentation.
ICPR (1)
(2004)
Hua Li
,
Abderrahim Elmoataz
,
Mohamed-Jalal Fadili
,
Su Ruan
Dual Front Evolution Model and Its Application in Medical Imaging.
MICCAI (1)
(2004)
Hua Li
,
Abderrahim Elmoataz
,
Jalal Fadili
,
Su Ruan
,
Barbara Romaniuk
3d medical image segmentation approach based on multi-label front propagation.
ICIP
(2004)