Quanzheng Li

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 177

Top Venues

CoRR

ISBI

IEEE Trans. Medical Imaging

MLMI@MICCAI

Publications

Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. CoRR (2024)
Sifan Song, Jinfeng Wang, Qiaochu Zhao, Xiang Li, Dufan Wu, Angelos Stefanidis, Jionglong Su, S. Kevin Zhou, Quanzheng Li
Contrastive Learning Via Equivariant Representation. CoRR (2024)
Yuang Wang, Siyeop Yoon, Pengfei Jin, Matthew Tivnan, Zhennong Chen, Rui Hu, Li Zhang, Zhiqiang Chen, Quanzheng Li, Dufan Wu
Implicit Image-to-Image Schrodinger Bridge for CT Super-Resolution and Denoising. CoRR (2024)
Bao Yang, Kuang Gong, Huafeng Liu, Quanzheng Li, Wentao Zhu
Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention. IEEE Trans. Medical Imaging 43 (6) (2024)
Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
Biomedical Visual Instruction Tuning with Clinician Preference Alignment. CoRR (2024)
Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. CoRR (2024)
Sekeun Kim, Hui Ren, Peng Guo, Abder-Rahman Ali, Patrick Zhang, Kyungsang Kim, Xiang Li, Quanzheng Li
Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis. CoRR (2024)
Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen
LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. KDD (2024)
Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun
Bora: Biomedical Generalist Video Generation Model. CoRR (2024)
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong
Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. IEEE Trans. Medical Imaging 43 (6) (2024)
Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. CoRR (2024)
Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek
Zero Shot Health Trajectory Prediction Using Transformer. CoRR (2024)
Arman Rahmim, Tyler J. Bradshaw, Guido Davidzon, Joyita Dutta, Georges El Fakhri, Munir Ghesani, Nicolas A. Karakatsanis, Quanzheng Li, Chi Liu, Emilie Roncali, Babak Saboury, Tahir Yusufaly, Abhinav K. Jha
Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). CoRR (2024)
Zhennong Chen, Sekeun Kim, Hui Ren, Quanzheng Li, Xiang Li
Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation. CoRR (2024)
Yunpeng Zhao, Cheng Chen, Qing You Pang, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization. CoRR (2024)
Yuang Wang, Pengfei Jin, Siyeop Yoon, Matthew Tivnan, Quanzheng Li, Li Zhang, Dufan Wu
Measurement Embedded Schrödinger Bridge for Inverse Problems. CoRR (2024)
Zhennong Chen, Hui Ren, Quanzheng Li, Xiang Li
Motion correction and super-resolution for multi-slice cardiac magnetic resonance imaging via an end-to-end deep learning approach. Comput. Medical Imaging Graph. 115 (2024)
Tianpeng Zhang, Sekeun Kim, Jerome Charton, Haitong Ma, Kyungsang Kim, Na Li, Quanzheng Li
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. CoRR (2024)
Zhengliang Liu, Jason Holmes, Wenxiong Liao, Chenbin Liu, Lian Zhang, Hongying Feng, Peilong Wang, Muhammad Ali Elahi, Hongmin Cai, Lichao Sun, Quanzheng Li, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu
The Radiation Oncology NLP Database. CoRR (2024)
Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. CoRR (2024)
Jiang Hu, Quanzheng Li
AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information. CoRR (2024)
Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, Dajiang Zhu, Tianming Liu, Wei Liu
Segment Anything Model (SAM) for Radiation Oncology. CoRR (2023)
Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. MICCAI (4) (2023)
David Liu, Jerome Charton, Xiang Li, Quanzheng Li
APP-RUSS: Automated Path Planning for Robotic Ultrasound System. CoRR (2023)
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. BI (2023)
Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. CoRR (2023)
Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, Ninghao Liu
CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study. CoRR (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR (2023)
Jerome Charton, Hui Ren, Sekeun Kim, Carola Maraboto Gonzalez, Jay Khambhati, Justin Cheng, Jeena DeFrancesco, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Michael H. Picard, Xiang Li, Quanzheng Li
Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification. ASMUS@MICCAI (2023)
Gary Y. Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images. CoRR (2023)
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
Unsupervised Image Denoising with Score Function. NeurIPS (2023)
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR (2023)
Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR (2023)
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) (2023)
Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR (2023)
Zhengliang Liu, Peilong Wang, Yiwei Li, Jason Holmes, Peng Shu, Lian Zhang, Chenbin Liu, Ninghao Liu, Dajiang Zhu, Xiang Li, Quanzheng Li, Samir H. Patel, Terence T. Sio, Tianming Liu, Wei Liu
RadOnc-GPT: A Large Language Model for Radiation Oncology. CoRR (2023)
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
FedDAR: Federated Domain-Aware Representation Learning. ICLR (2023)
Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li
Decentralized Riemannian natural gradient methods with Kronecker-product approximations. CoRR (2023)
Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen
Artificial General Intelligence for Medical Imaging. CoRR (2023)
Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR (2023)
Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li
Diffusion Model for Generative Image Denoising. CoRR (2023)
Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM (2023)
Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu
DULDA: Dual-domain Unsupervised Learned Descent Algorithm for PET image reconstruction. CoRR (2023)
Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li
Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR (2023)
Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu
DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction. MICCAI (10) (2023)
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu
Radiology-GPT: A Large Language Model for Radiology. CoRR (2023)
Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR (2023)
Chenhao Tang, Zhengliang Liu, Chong Ma, Zihao Wu, Yiwei Li, Wei Liu, Dajiang Zhu, Quanzheng Li, Xiang Li, Tianming Liu, Lei Fan
PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models. CoRR (2023)
Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)
Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. IEEE Trans. Medical Imaging 42 (7) (2023)
Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li
Unsupervised Image Denoising with Score Function. CoRR (2023)
Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, Xiang Li
SAMAug: Point Prompt Augmentation for Segment Anything Model. CoRR (2023)
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data. CoRR (2023)
Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR (2023)
Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. CoRR (2023)
Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li
Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. MICCAI (5) (2023)
Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior. IEEE Trans. Medical Imaging 41 (3) (2022)
Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot L. Siegel, John J. Sunderland, Richard L. Wahl
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR (2022)
Se-In Jang, Tinsu Pan, Ye Li, Pedram Heidari, Junyu Chen, Quanzheng Li, Kuang Gong
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising. CoRR (2022)
Mo Zhang, Bin Dong, Quanzheng Li
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. ISBI (2022)
Pengcheng Xu, Kyung Sang Kim, Huafeng Liu, Quanzheng Li
Attention-Fused CNN Model Compression with Knowledge Distillation for Brain Tumor Segmentation. MIUA (2022)
Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. CoRR (2022)
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
FedDAR: Federated Domain-Aware Representation Learning. CoRR (2022)
Jerome Charton, Hui Ren, Jay Khambhati, Jeena DeFrancesco, Justin Cheng, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Erik Steen, Eigil Samset, Michael H. Picard, Xiang Li, Quanzheng Li
View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging. ASMUS@MICCAI (2022)
Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. MLMI@MICCAI (2022)
Yutong Xie, Quanzheng Li
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction. CoRR (2022)
Yutong Xie, Quanzheng Li
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. MICCAI (6) (2022)
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li
A Noise-level-aware Framework for PET Image Denoising. CoRR (2022)
Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li
A Noise-Level-Aware Framework for PET Image Denoising. MLMIR@MICCAI (2022)
Jianan Cui, Yutong Xie, Anand A. Joshi, Kuang Gong, Kyung Sang Kim, Young-Don Son, Jong Hoon Kim, Richard M. Leahy, Huafeng Liu, Quanzheng Li
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. MICCAI (4) (2022)
Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR (2022)
Jianan Cui, Kuang Gong, Ning Guo, Kyung Sang Kim, Huafeng Liu, Quanzheng Li
Unsupervised PET logan parametric image estimation using conditional deep image prior. Medical Image Anal. 80 (2022)
Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation. CoRR (2022)
Mo Zhang, Bin Dong, Quanzheng Li
Joint Attention for Medical Image Segmentation. ISBI (2022)
Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan
PET image denoising based on denoising diffusion probabilistic models. CoRR (2022)
Homgmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. CoRR (2022)
Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li
Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. IEEE Trans. Biomed. Eng. 69 (1) (2022)
Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Anal. 70 (2021)
Mengjia Xu, David López-Sanz, Pilar Garcés, Fernando Maestú, Quanzheng Li, Dimitrios Pantazis
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks. IEEE Trans. Biomed. Eng. 68 (5) (2021)
Wufeng Xue, Jiahui Li, Zhiqiang Hu, Eric Kerfoot, James R. Clough, Ilkay Öksüz, Hao Xu, Vicente Grau, Fumin Guo, Matthew Ng, Xiang Li, Quanzheng Li, Lihong Liu, Jin Ma, Elias Grinias, Georgios Tziritas, Wenjun Yan, Angélica Atehortúa, Mireille Garreau, Yeonggul Jang, Alejandro Debus, Enzo Ferrante, Guanyu Yang, Tiancong Hua, Shuo Li
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li
Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior. CoRR (2021)
Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li
Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network. NeuroImage 240 (2021)
Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. CoRR (2021)
Varun Buch, Aoxiao Zhong, Xiang Li, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Dufan Wu, Hui Ren, Jiahui Guan, Andrew Liteplo, Sayon Dutta, Ittai Dayan, Quanzheng Li
Development and Validation of a Deep Learning Model for Prediction of Severe Outcomes in Suspected COVID-19 Infection. CoRR (2021)
Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12 (3) (2020)
Yutong Xie, Gaoxiang Chen, Quanzheng Li
A General Computational Framework to Measure the Expressiveness of Complex Networks Using a Tighter Upper Bound of Linear Regions. CoRR (2020)
Fei Yu, Hexin Dong, Mo Zhang, Jie Zhao, Bin Dong, Quanzheng Li, Li Zhang
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. ISBI (2020)
Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li
Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease. IEEE J. Biomed. Health Informatics 24 (11) (2020)
Dufan Wu, Kyung Sang Kim, Quanzheng Li
Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution. ISBI (2020)
Jun Ying, Joyita Dutta, Ning Guo, Chenhui Hu, Dan Zhou, Arkadiusz Sitek, Quanzheng Li
Classification of Exacerbation Frequency in the COPDGene Cohort Using Deep Learning With Deep Belief Networks. IEEE J. Biomed. Health Informatics 24 (6) (2020)
Hexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. ISBI (2020)
Wei Qiu, Yangsibo Huang, Quanzheng Li
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. CoRR (2020)
Mo Zhang, Bin Dong, Quanzheng Li
Deep Active Contour Network for Medical Image Segmentation. MICCAI (4) (2020)
Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) (2020)
Dufan Wu, Kuang Gong, Chiara Daniela Arru, Fatemeh Homayounieh, Bernardo Bizzo, Varun Buch, Hui Ren, Kyung Sang Kim, Nir Neumark, Pengcheng Xu, Zhiyuan Liu, Wei Fang, Nuobei Xie, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Alessandro Carriero, Luca Saba, Mahsa Masjedi, Hamidreza Talari, Rosa Babaei, Hadi Karimi Mobin, Shadi Ebrahimian, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J. Biomed. Health Informatics 24 (12) (2020)
Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. MICCAI (7) (2020)
Mengjia Xu, Zhijiang Wang, Haifeng Zhang, Dimitrios Pantazis, Huali Wang, Quanzheng Li
A new Graph Gaussian embedding method for analyzing the effects of cognitive training. PLoS Comput. Biol. 16 (9) (2020)
Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. ISBI (2020)
Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. MICCAI (5) (2020)
Mengjia Xu, David López-Sanz, Pilar Garcés, Fernando Maestú, Quanzheng Li, Dimitrios Pantazis
A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks. CoRR (2020)

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Quanzheng Li