Quanzheng Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
7
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection. | Pengfei Jin, Peng Shu, Sifan Song, Sekeun Kim, Qing Xiao, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li |
| 2026 | AAAI | Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation. | Yunpeng Zhao, Cheng Chen, Qing You Pang, Yibing Fu, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin |
| 2025 | ICLR | ECHOPulse: ECG Controlled Echocardio-gram Video Generation. | Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Xiaowei Yu, Tianze Yang, Tianming Liu, Quanzheng Li, Xiang Li |
| 2025 | ICLR | Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data. | Yucheng Shi, Quanzheng Li, Jin Sun, Xiang Li, Ninghao Liu |
| 2025 | ICML | Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective. | Yujin Oh, Pengfei Jin, Sangjoon Park, Sekeun Kim, Siyeop Yoon, Jin Sung Kim, Kyungsang Kim, Xiang Li, Quanzheng Li |
| 2025 | MICCAI | MAST-Pro: Dynamic Mixture-of-Experts for Adaptive Segmentation of Pan-Tumors with Knowledge-Driven Prompts. | Runqi Meng, Sifan Song, Pengfei Jin, Lin Teng, Yulin Wang, Yiqun Sun, Ling Chen, Yujin Oh, Xiang Li, Quanzheng Li, Ning Guo, Dinggang Shen |
| 2025 | MICCAI | SAMed-2: Selective Memory Enhanced Medical Segment Anything Model. | Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou, Weixiang Sun, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun |
| 2025 | MICCAI | CryoFlow: Prediction of Frozen Region Growth in Kidney Cryoablation Using a 3D Flow-Matching. | Siyeop Yoon, Yujin Oh, Matthew Tivnan, Sifan Song, Pengfei Jin, Sekeun Kim, Dufan Wu, Hyun Jin Cho, Raul Uppot, Quanzheng Li |
| 2025 | MICCAI | Cascaded 3D Diffusion Models for Whole-Body 3D 18-F FDG PET/CT Synthesis from Demographics. | Siyeop Yoon, Sifan Song, Pengfei Jin, Matthew Tivnan, Yujin Oh, Sekeun Kim, Dufan Wu, Xiang Li, Quanzheng Li |
| 2024 | KDD | LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models. | Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen |
| 2024 | MICCAI | Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation. | Zhennong Chen, Sekeun Kim, Hui Ren, Quanzheng Li, Xiang Li |
| 2024 | MICCAI | Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. | Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li |
| 2024 | MICCAI | Head CT Scan Motion Artifact Correction via Diffusion-Based Generative Models. | Zhennong Chen, Siyeop Yoon, Quirin D. Strotzer, Rehab Naeem Khalid, Matthew Tivnan, Quanzheng Li, Rajiv Gupta, Dufan Wu |
| 2024 | MICCAI | Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. | Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng |
| 2024 | MICCAI | FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. | Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng |
| 2024 | MICCAI | Hallucination Index: An Image Quality Metric for Generative Reconstruction Models. | Matthew Tivnan, Siyeop Yoon, Zhennong Chen, Xiang Li, Dufan Wu, Quanzheng Li |
| 2024 | MICCAI | Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. | Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li |
| 2024 | MICCAI | FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. | Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong |
| 2024 | MICCAI | Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising. | Siyeop Yoon, Matthew Tivnan, Rui Hu, Yuang Wang, Young-Don Son, Dufan Wu, Xiang Li, Kyungsang Kim, Quanzheng Li |
| 2023 | ICLR | FedDAR: Federated Domain-Aware Representation Learning. | Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li |
| 2023 | MICCAI | Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification. | 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 |
| 2023 | MICCAI | Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. | Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li |
| 2023 | MICCAI | Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. | Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Dez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li |
| 2023 | MICCAI | DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction. | Rui Hu, Yunmei Chen, Kyung Sang Kim, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Quanzheng Li, Huafeng Liu |
| 2023 | MICCAI | Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. | Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2022 | MICCAI | View Classification of Color Doppler Echocardiography via Automatic Alignment Between Doppler and B-Mode Imaging. | 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 |
| 2022 | MICCAI | PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. | 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 |
| 2022 | MICCAI | A Noise-Level-Aware Framework for PET Image Denoising. | Ye Li, Jianan Cui, Junyu Chen, Guodong Zeng, Scott D. Wollenweber, Floris Jansen, Se-In Jang, Kyung Sang Kim, Kuang Gong, Quanzheng Li |
| 2022 | MICCAI | ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. | 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 |
| 2022 | MICCAI | Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. | Yutong Xie, Quanzheng Li |
| 2020 | MICCAI | Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network. | Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li |
| 2020 | MICCAI | A Novel fMRI Representation Learning Framework with GAN. | Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li |
| 2020 | MICCAI | Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). | Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li |
| 2020 | MICCAI | Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. | Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li |
| 2020 | MICCAI | Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. | Nuobei Xie, Kuang Gong, Ning Guo, ZhiXing Qin, Jianan Cui, Zhifang Wu, Huafeng Liu, Quanzheng Li |
| 2020 | MICCAI | Deep Active Contour Network for Medical Image Segmentation. | Mo Zhang, Bin Dong, Quanzheng Li |
| 2020 | MICCAI | BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. | Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li |
| 2019 | MICCAI | Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function. | Danlei Feng, Weichen Wu, Hongfeng Li, Quanzheng Li |
| 2019 | MICCAI | Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network. | Meng Li, Jie Zhao, Yan Zhang, Danmei He, Jinqiong Zhou, Jia Jia, Haicheng She, Quanzheng Li, Li Zhang |
| 2019 | MICCAI | Feature Pyramid Based Attention for Cervical Image Classification. | Hongfeng Li, Jian Zhao, Li Zhang, Jie Zhao, Li Yang, Quanzheng Li |
| 2019 | MICCAI | aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection. | Yini Pan, Hongfeng Li, Lili Liu, Quanzheng Li, Xinlin Hou, Bin Dong |
| 2019 | MICCAI | Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. | Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li, Quanzheng Li |
| 2019 | MICCAI | Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. | Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang |
| 2018 | ICLR | Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. | Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong |
| 2018 | ICML | Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. | Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong |
| 2018 | MICCAI | Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning. | Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li |
| 2018 | MICCAI | End-to-End Lung Nodule Detection in Computed Tomography. | Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li |
| 2018 | MICCAI | RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net. | Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li |
| 2018 | MICCAI | Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). | Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu |
| 2017 | MICCAI | Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI Analysis. | Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh |
| 2017 | MICCAI | Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. | Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li |
| 2016 | ICASSP | Gold classification of COPDGene cohort based on deep learning. | Jun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li |
| 2014 | MICCAI | Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching. | Chenhui Hu, Georges El Fakhri, Quanzheng Li |
| 2014 | MICCAI | Erratum: Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching. | Chenhui Hu, Georges El Fakhri, Quanzheng Li |
| 2014 | MICCAI | Inferring Sources of Dementia Progression with Network Diffusion Model. | Chenhui Hu, Xue Hua, Paul M. Thompson, Georges El Fakhri, Quanzheng Li |
| 2009 | CVPR | Optimization of landmark selection for cortical surface registration. | Anand A. Joshi, David W. Shattuck, Dimitrios Pantazis, Quanzheng Li, Hanna Damasio, Richard M. Leahy |