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2020 – today
- 2024
[j46]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: 102389 (2024)- [j45]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, David Liu, Dajiang Zhu, Sheng Li, Wei Liu, Tianming Liu, Quanzheng Li, Hongmin Cai, Xiang Li:
Mask-guided BERT for few-shot text classification. Neurocomputing 610: 128576 (2024) - [j44]Jiang Hu, Kangkang Deng, Jiayuan Wu, Quanzheng Li:
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity. J. Mach. Learn. Res. 25: 56:1-56:32 (2024) - [j43]Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Ninghao Liu, Tianming Liu, Quanzheng Li, Xiang Li, Hongmin Cai:
Zero-shot relation triplet extraction as Next-Sentence Prediction. Knowl. Based Syst. 304: 112507 (2024) - [j42]Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 98: 103310 (2024) - [j41]Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero shot health trajectory prediction using transformer. npj Digit. Medicine 7(1) (2024) - [j40]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): 2036-2049 (2024) - [j39]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): 2098-2112 (2024) - [c88]Zhennong Chen, Hui Ren, Quanzheng Li, Xiang Li:
Motion Correction and Super-Resolution for Multi-slice Cardiac Magnetic Resonance Imaging via a Multi-stage Deep Learning Approach. ISBI 2024: 1-4 - [c87]Jayanth Pratap, Siyeop Yoon, Wen-Chih Liu, Quanzheng Li, Abhiram Bhashyam, Neal Chen, Xiang Li:
Zero-Shot Novel View Synthesis of Wrist X-Rays Using Latent Diffusion Model. ISBI 2024: 1-4 - [c86]Siyeop Yoon, Jay Sairam Pratap, Wen-Chih Liu, Matthew Tivnan, Hui Ren, Abhiram Bhashyam, Quanzheng Li, Neal Chen, Xiang Li:
High-Resolution 3d Ct Synthesis From Bidirectional X-Ray Images Using 3d Diffusion Model. ISBI 2024: 1-4 - [c85]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: 4559-4570 - [c84]Zhennong Chen, Sekeun Kim, Hui Ren, Quanzheng Li, Xiang Li:
Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation. MedAGI@MICCAI 2024: 20-29 - [c83]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. MICCAI (2) 2024: 78-87 - [c82]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. MICCAI (11) 2024: 167-177 - [c81]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. MICCAI (12) 2024: 240-250 - [c80]Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong:
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. MICCAI (8) 2024: 294-304 - [c79]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. MICCAI (11) 2024: 297-307 - [c78]Matthew Tivnan, Siyeop Yoon, Zhennong Chen, Xiang Li, Dufan Wu, Quanzheng Li:
Hallucination Index: An Image Quality Metric for Generative Reconstruction Models. MICCAI (10) 2024: 449-458 - [c77]Siyeop Yoon, Matthew Tivnan, Rui Hu, Yuang Wang, Young-Don Son, Dufan Wu, Xiang Li, Kyungsang Kim, Quanzheng Li:
Volumetric Conditional Score-Based Residual Diffusion Model for PET/MR Denoising. MICCAI (7) 2024: 754-763 - [i88]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 abs/2401.10995 (2024) - [i87]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 abs/2403.06069 (2024) - [i86]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 abs/2403.06835 (2024) - [i85]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 abs/2403.06940 (2024) - [i84]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 abs/2403.10009 (2024) - [i83]Jiang Hu, Quanzheng Li:
AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information. CoRR abs/2403.13128 (2024) - [i82]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 abs/2404.05916 (2024) - [i81]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 abs/2405.05787 (2024) - [i80]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 abs/2406.00262 (2024) - [i79]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 abs/2406.01044 (2024) - [i78]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 abs/2406.01987 (2024) - [i77]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 abs/2406.13173 (2024) - [i76]Yuang Wang, Pengfei Jin, Siyeop Yoon, Matthew Tivnan, Quanzheng Li, Li Zhang, Dufan Wu:
Measurement Embedded Schrödinger Bridge for Inverse Problems. CoRR abs/2407.04162 (2024) - [i75]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 abs/2407.05412 (2024) - [i74]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 abs/2407.05416 (2024) - [i73]Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun:
Bora: Biomedical Generalist Video Generation Model. CoRR abs/2407.08944 (2024) - [i72]Pawel Renc, Yugang Jia, Anthony E. Samir, Jaroslaw Was, Quanzheng Li, David W. Bates, Arkadiusz Sitek:
Zero Shot Health Trajectory Prediction Using Transformer. CoRR abs/2407.21124 (2024) - [i71]Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun:
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. CoRR abs/2408.03286 (2024) - [i70]Yucheng Shi, Peng Shu, Zhengliang Liu, Zihao Wu, Quanzheng Li, Xiang Li:
MGH Radiology Llama: A Llama 3 70B Model for Radiology. CoRR abs/2408.11848 (2024) - [i69]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. CoRR abs/2408.13727 (2024) - 2023
- [j38]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): 1914-1919 (2023) - [c76]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: 1294-1299 - [c75]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: 395-406 - [c74]Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li:
FedDAR: Federated Domain-Aware Representation Learning. ICLR 2023 - [c73]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: 3-13 - [c72]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: 153-162 - [c71]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: 185-194 - [c70]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: 205-213 - [c69]Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li:
Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. MICCAI (5) 2023: 493-503 - [c68]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: 464-473 - [c67]Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. NeurIPS 2023 - [e4]Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i68]Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li:
Diffusion Model for Generative Image Denoising. CoRR abs/2302.02398 (2023) - [i67]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 abs/2302.03861 (2023) - [i66]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 abs/2302.13007 (2023) - [i65]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 abs/2303.04661 (2023) - [i64]Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li:
Decentralized Riemannian natural gradient methods with Kronecker-product approximations. CoRR abs/2303.09611 (2023) - [i63]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 abs/2303.11032 (2023) - [i62]Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. CoRR abs/2304.08384 (2023) - [i61]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 abs/2304.09138 (2023) - [i60]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 abs/2305.17100 (2023) - [i59]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 abs/2306.05480 (2023) - [i58]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 abs/2306.08666 (2023) - [i57]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 abs/2306.10095 (2023) - [i56]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 abs/2306.11730 (2023) - [i55]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 abs/2307.01187 (2023) - [i54]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 abs/2307.01389 (2023) - [i53]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 abs/2307.02514 (2023) - [i52]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 abs/2307.11346 (2023) - [i51]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 abs/2307.13693 (2023) - [i50]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 abs/2309.06419 (2023) - [i49]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 abs/2309.08842 (2023) - [i48]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 abs/2309.10160 (2023) - [i47]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 abs/2309.10238 (2023) - [i46]David Liu, Jerome Charton, Xiang Li, Quanzheng Li:
APP-RUSS: Automated Path Planning for Robotic Ultrasound System. CoRR abs/2310.14297 (2023) - [i45]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 abs/2312.05256 (2023) - 2022
- [j37]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: 102519 (2022) - [j36]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): 4-14 (2022) - [j35]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): 680-689 (2022) - [c66]Mo Zhang, Bin Dong, Quanzheng Li:
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. ISBI 2022: 1-5 - [c65]Mo Zhang, Bin Dong, Quanzheng Li:
Joint Attention for Medical Image Segmentation. ISBI 2022: 1-5 - [c64]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: 64-71 - [c63]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: 75-83 - [c62]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: 173-183 - [c61]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: 269-278 - [c60]Yutong Xie, Quanzheng Li:
Measurement-Conditioned Denoising Diffusion Probabilistic Model for Under-Sampled Medical Image Reconstruction. MICCAI (6) 2022: 655-664 - [c59]Pengcheng Xu, Kyung Sang Kim, Huafeng Liu, Quanzheng Li:
Attention-Fused CNN Model Compression with Knowledge Distillation for Brain Tumor Segmentation. MIUA 2022: 328-338 - [e3]Xiang Li, Jinglei Lv, Yuankai Huo, Bin Dong, Richard M. Leahy, Quanzheng Li:
Multiscale Multimodal Medical Imaging - Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13594, Springer 2022, ISBN 978-3-031-18813-8 [contents] - [i44]Jin-Hyun Ahn, Kyung Sang Kim, Jeongwan Koh, Quanzheng Li:
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning. CoRR abs/2202.00195 (2022) - [i43]Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li:
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR abs/2202.03674 (2022) - [i42]Yutong Xie, Quanzheng Li:
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction. CoRR abs/2203.03623 (2022) - [i41]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 abs/2203.08034 (2022) - [i40]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 abs/2209.03300 (2022) - [i39]Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li:
FedDAR: Federated Domain-Aware Representation Learning. CoRR abs/2209.04007 (2022) - [i38]Kuang Gong, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Tinsu Pan:
PET image denoising based on denoising diffusion probabilistic models. CoRR abs/2209.06167 (2022) - [i37]Hongmin 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 abs/2211.02849 (2022) - [i36]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 abs/2211.03783 (2022) - [i35]Ye Li, Junyu Chen, Se-In Jang, Kuang Gong, Quanzheng Li:
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation. CoRR abs/2212.10724 (2022) - 2021
- [j34]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: 101993 (2021) - [j33]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: 118380 (2021) - [j32]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): 1579-1588 (2021) - [j31]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): 3541-3553 (2021) - [e2]Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang:
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 [contents] - [i34]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 abs/2103.11269 (2021) - [i33]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. CoRR abs/2104.03768 (2021) - [i32]Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior. CoRR abs/2106.10359 (2021) - 2020
- [j30]Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh:
Sparse Representation-Based Denoising for High-Resolution Brain Activation and Functional Connectivity Modeling: A Task fMRI Study. IEEE Access 8: 36728-36740 (2020) - [j29]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) - [j28]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): 451-460 (2020) - [j27]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): 1805-1813 (2020) - [j26]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): 3095-3102 (2020) - [j25]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): 3529-3538 (2020) - [c58]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. IEEE BigData 2020: 4257-4263 - [c57]Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. IEEE BigData 2020: 4715-4723 - [c56]Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. ISBI 2020: 144-148 - [c55]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: 354-358 - [c54]Dufan Wu, Kyung Sang Kim, Quanzheng Li:
Digital Breast Tomosynthesis Reconstruction with Deep Neural Network for Improved Contrast and In-Depth Resolution. ISBI 2020: 656-659 - [c53]Kyung Sang Kim, Inki Hong, Young-Don Son, Jong Hoon Kim, Quanzheng Li:
Residual Simplified Reference Tissue Model with Covariance Estimation. ISBI 2020: 777-780 - [c52]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: 1503-1507 - [c51]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li:
A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI 2020: 21-29 - [c50]Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network. MLMI@MICCAI 2020: 50-59 - [c49]Mo Zhang, Bin Dong, Quanzheng Li:
Deep Active Contour Network for Medical Image Segmentation. MICCAI (4) 2020: 321-331 - [c48]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) 2020: 498-507 - [c47]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) 2020: 508-517 - [c46]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. MICCAI (5) 2020: 775-785 - [c45]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: 793-802 - [e1]Quanzheng Li, Richard M. Leahy, Bin Dong, Xiang Li:
Multiscale Multimodal Medical Imaging - First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11977, Springer 2020, ISBN 978-3-030-37968-1 [contents] - [i31]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 abs/2005.05784 (2020) - [i30]Dufan Wu, Hui Ren, Quanzheng Li:
Self-supervised Dynamic CT Perfusion Image Denoising with Deep Neural Networks. CoRR abs/2005.09766 (2020) - [i29]Ziheng Duan, Daniel Montes, Yangsibo Huang, Dufan Wu, Javier M. Romero, Ramon Gilberto Gonzalez, Quanzheng Li:
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography. CoRR abs/2005.11098 (2020) - [i28]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. CoRR abs/2009.05901 (2020) - [i27]Jianan Cui, Kuang Gong, Paul Han, Huafeng Liu, Quanzheng Li:
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network. CoRR abs/2009.06129 (2020) - [i26]Young-Gon Kim, Kyung Sang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li:
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. CoRR abs/2009.12610 (2020) - [i25]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. CoRR abs/2012.03663 (2020) - [i24]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 abs/2012.04428 (2020) - [i23]Wei Qiu, Yangsibo Huang, Quanzheng Li:
IFGAN: Missing Value Imputation using Feature-specific Generative Adversarial Networks. CoRR abs/2012.12581 (2020) - [i22]Mo Zhang, Quanzheng Li:
MS-GWNN: multi-scale graph wavelet neural network for breast cancer diagnosis. CoRR abs/2012.14619 (2020)
2010 – 2019
- 2019
- [j24]Xiang Li, Ning Guo, Quanzheng Li:
Functional Neuroimaging in the New Era of Big Data. Genom. Proteom. Bioinform. 17(4): 393-401 (2019) - [j23]Ronghui Ju, Chenhui Hu, Pan Zhou, Quanzheng Li:
Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 244-257 (2019) - [j22]Tzu-An Song, Fan Yang, Samadrita Roy Chowdhury, Kyung Sang Kim, Keith A. Johnson, Georges El Fakhri, Quanzheng Li, Joyita Dutta:
PET Image Deblurring and Super-Resolution With an MR-Based Joint Entropy Prior. IEEE Trans. Computational Imaging 5(4): 530-539 (2019) - [j21]Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - [j20]Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Jaewon Yang, Youngho Seo, Georges El Fakhri, Jinyi Qi, Quanzheng Li:
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Trans. Medical Imaging 38(3): 675-685 (2019) - [j19]Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li:
PET Image Reconstruction Using Deep Image Prior. IEEE Trans. Medical Imaging 38(7): 1655-1665 (2019) - [c44]Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. IEEE BigData 2019: 5359-5363 - [c43]Tzu-An Song, Samadrita Roy Chowdhury, Fan Yang, Heidi I. L. Jacobs, Georges El Fakhri, Quanzheng Li, Keith A. Johnson, Joyita Dutta:
Graph Convolutional Neural Networks For Alzheimer's Disease Classification. ISBI 2019: 414-417 - [c42]Han Bao, Hui Ren, Zhiling Zhou, Xiang Li, Ning Guo, Quanzheng Li:
3D Regional Shape Analysis of Left Ventricle Using MR Images: Abnormal Myocadium Detection and Classification. ISBI 2019: 789-792 - [c41]Xuandong Zhao, Xiang Li, Ning Guo, Zhiling Zhou, Xiaxia Meng, Quanzheng Li:
Multi-Size Computer-Aided Diagnosis Of Positron Emission Tomography Images Using Graph Convolutional Networks. ISBI 2019: 837-840 - [c40]Zhiling Zhou, Ning Guo, Jianan Cui, Xiaxia Meng, Yiwei Hu, Han Bao, Xiang Li, Quanzheng Li:
Novel Radiomic Features Based on Graph Theory for PET Image Analysis. ISBI 2019: 1311-1314 - [c39]Jie Zhao, Quanzheng Li, Xiang Li, Hongfeng Li, Li Zhang:
Automated Segmentation Of Cervical Nuclei In Pap Smear Images Using Deformable Multi-Path Ensemble Model. ISBI 2019: 1514-1518 - [c38]Zhe Guo, Ning Guo, Kuang Gong, Quanzheng Li:
Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net. Medical Imaging: Computer-Aided Diagnosis 2019: 1095009 - [c37]Hongfeng Li, Jian Zhao, Li Zhang, Jie Zhao, Li Yang, Quanzheng Li:
Feature Pyramid Based Attention for Cervical Image Classification. MMMI@MICCAI 2019: 35-42 - [c36]Meng Li, Jie Zhao, Yan Zhang, Danmei He, Jinqiong Zhou, Jia Jia, Haicheng She, Quanzheng Li, Li Zhang:
Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network. MMMI@MICCAI 2019: 59-67 - [c35]Yini Pan, Hongfeng Li, Lili Liu, Quanzheng Li, Xinlin Hou, Bin Dong:
aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection. MMMI@MICCAI 2019: 76-84 - [c34]Danlei Feng, Weichen Wu, Hongfeng Li, Quanzheng Li:
Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function. MMMI@MICCAI 2019: 85-92 - [c33]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. MICCAI (2) 2019: 714-722 - [c32]Dufan Wu, Kuang Gong, Kyung Sang Kim, Xiang Li, Quanzheng Li:
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. MICCAI (4) 2019: 741-749 - [i21]Dufan Wu, Kuang Gong, Kyung Sang Kim, Quanzheng Li:
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. CoRR abs/1906.03639 (2019) - [i20]Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. CoRR abs/1907.03241 (2019) - [i19]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. CoRR abs/1907.11483 (2019) - [i18]Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. CoRR abs/1910.00185 (2019) - [i17]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. CoRR abs/1910.02672 (2019) - [i16]Nuobei Xie, Kuang Gong, Ning Guo, ZhiXin Qin, Zhifang Wu, Huafeng Liu, Quanzheng Li:
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. CoRR abs/1912.07180 (2019) - 2018
- [j18]Dimitrios Pantazis, Mingtong Fang, Sheng Qin, Yalda Mohsenzadeh, Quanzheng Li, Radoslaw Martin Cichy:
Decoding the orientation of contrast edges from MEG evoked and induced responses. NeuroImage 180(Part): 267-279 (2018) - [j17]Xiaoqian Wang, Xiantong Zhen, Quanzheng Li, Dinggang Shen, Heng Huang:
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression. Neuroinformatics 16(3-4): 285-294 (2018) - [j16]Kyung Sang Kim, Dufan Wu, Kuang Gong, Joyita Dutta, Jong Hoon Kim, Young-Don Son, Hang-Keun Kim, Georges El Fakhri, Quanzheng Li:
Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. IEEE Trans. Medical Imaging 37(6): 1478-1487 (2018) - [c31]Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICLR (Workshop) 2018 - [c30]Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICML 2018: 3282-3291 - [c29]Zhe Guo, Xiang Li, Heng Huang, Ning Quo, Quanzheng Li:
Medical image segmentation based on multi-modal convolutional neural network: Study on image fusion schemes. ISBI 2018: 903-907 - [c28]Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li:
End-to-End Lung Nodule Detection in Computed Tomography. MLMI@MICCAI 2018: 37-45 - [c27]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) 2018: 181-189 - [c26]Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li:
Multi-estimator Full Left Ventricle Quantification Through Ensemble Learning. STACOM@MICCAI 2018: 459-465 - [c25]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net. MICCAI (4) 2018: 695-702 - [c24]Yongjin Chang, Gregory C. Sharp, Quanzheng Li, Helen A. Shih, Georges El Fakhri, Jong Beom Ra, Jonghye Woo:
Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework. Medical Imaging: Image Processing 2018: 105742I - [i15]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR abs/1805.12564 (2018) - [i14]Kuang Gong, Kyung Sang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li:
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network. CoRR abs/1807.01759 (2018) - [i13]Jiasha Liu, Xiang Li, Hui Ren, Quanzheng Li:
Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning. CoRR abs/1808.02056 (2018) - [i12]Xiang Li, Qitian Chen, Xing Wang, Ning Guo, Nan Wu, Quanzheng Li:
Network Modeling and Pathway Inference from Incomplete Data ("PathInf"). CoRR abs/1810.00839 (2018) - [i11]Dufan Wu, Kyung Sang Kim, Quanzheng Li:
Computationally Efficient Cascaded Training for Deep Unrolled Network in CT Imaging. CoRR abs/1810.03999 (2018) - [i10]Jie Zhao, Quanzheng Li, Hongfeng Li, Li Zhang:
Automated Segmentation of Cervical Nuclei in Pap Smear Images using Deformable Multi-path Ensemble Model. CoRR abs/1812.00527 (2018) - 2017
- [j15]Dufan Wu, Kyung Sang Kim, Georges El Fakhri, Quanzheng Li:
Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network. IEEE Trans. Medical Imaging 36(12): 2479-2486 (2017) - [c23]Chang Su, Joyita Dutta, Hui Zhang, Georges El Fakhri, Quanzheng Li:
Image deblurring using a joint entropy prior in x-ray luminescence computed tomography. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013706 - [c22]Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh:
Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI Analysis. MLMI@MICCAI 2017: 45-52 - [c21]Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li:
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. MLMI@MICCAI 2017: 212-219 - [i9]Dufan Wu, Kyung Sang Kim, Georges El Fakhri, Quanzheng Li:
A Cascaded Convolutional Nerual Network for X-ray Low-dose CT Image Denoising. CoRR abs/1705.04267 (2017) - [i8]Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li:
Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. CoRR abs/1707.06145 (2017) - [i7]Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh:
Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis. CoRR abs/1707.06962 (2017) - [i6]Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Georges El Fakhri, Jinyi Qi, Quanzheng Li:
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. CoRR abs/1710.03344 (2017) - [i5]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net. CoRR abs/1710.08149 (2017) - [i4]Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. CoRR abs/1710.10121 (2017) - [i3]Zhe Guo, Xiang Li, Heng Huang, Ning Guo, Quanzheng Li:
Medical Image Segmentation Based on Multi-Modal Convolutional Neural Network: Study on Image Fusion Schemes. CoRR abs/1711.00049 (2017) - [i2]Dufan Wu, Kyung Sang Kim, Bin Dong, Quanzheng Li:
End-to-End Abnormality Detection in Medical Imaging. CoRR abs/1711.02074 (2017) - [i1]Kuang Gong, Jaewon Yang, Kyung Sang Kim, Georges El Fakhri, Youngho Seo, Quanzheng Li:
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images. CoRR abs/1712.06203 (2017) - 2016
- [j14]Chenhui Hu, Xue Hua, Jun Ying, Paul M. Thompson, Georges El Fakhri, Quanzheng Li:
Localizing Sources of Brain Disease Progression with Network Diffusion Model. IEEE J. Sel. Top. Signal Process. 10(7): 1214-1225 (2016) - [j13]Chenhui Hu, Jorge Sepulcre, Keith A. Johnson, Georges El Fakhri, Yue M. Lu, Quanzheng Li:
Matched signal detection on graphs: Theory and application to brain imaging data classification. NeuroImage 125: 587-600 (2016) - [c20]Jun Ying, Joyita Dutta, Ning Guo, Lei Xia, Arkadiusz Sitek, Quanzheng Li:
Gold classification of COPDGene cohort based on deep learning. ICASSP 2016: 2474-2478 - [c19]Chenhui Hu, Ronghui Ju, Yusong Shen, Pan Zhou, Quanzheng Li:
Clinical decision support for Alzheimer's disease based on deep learning and brain network. ICC 2016: 1-6 - 2015
- [j12]Kyung Sang Kim, Jong Chul Ye, William Worstell, Jinsong Ouyang, Yothin Rakvongthai, Georges El Fakhri, Quanzheng Li:
Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty. IEEE Trans. Medical Imaging 34(3): 748-760 (2015) - [c18]Mengdie Wang, Ning Guo, Hui Zhang, Georges El Fakhri, Guangshu Hu, Quanzheng Li:
Retrospective data-driven respiratory gating for PET using TOF information. EMBC 2015: 4520-4523 - [c17]Wentao Zhu, Ning Guo, Bing Bai, Peter S. Conti, Richard M. Leahy, Quanzheng Li:
Direct estimation from list-mode data for reversible tracers using graphical modeling. ISBI 2015: 1204-1207 - [c16]Joyita Dutta, Georges El Fakhri, Xuping Zhu, Quanzheng Li:
PET point spread function modeling and image deblurring using a PET/MRI joint entropy prior. ISBI 2015: 1423-1426 - 2014
- [j11]Yanguang Lin, Justin P. Haldar, Quanzheng Li, Peter S. Conti, Richard M. Leahy:
Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET. IEEE Trans. Medical Imaging 33(1): 173-185 (2014) - [j10]Wentao Zhu, Quanzheng Li, Bing Bai, Peter S. Conti, Richard M. Leahy:
Patlak Image Estimation From Dual Time-Point List-Mode PET Data. IEEE Trans. Medical Imaging 33(4): 913-924 (2014) - [c15]Kyung Sang Kim, Jong Chul Ye, Li Cheng, Kui Ying, Georges El Fakhri, Quanzheng Li:
TOF-PET ordered subset reconstruction using non-uniform separable quadratic surrogates algorithm. ISBI 2014: 963-966 - [c14]Chenhui Hu, Xue Hua, Paul M. Thompson, Georges El Fakhri, Quanzheng Li:
Inferring Sources of Dementia Progression with Network Diffusion Model. MLMI 2014: 42-49 - [c13]Chenhui Hu, Georges El Fakhri, Quanzheng Li:
Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching. MICCAI (2) 2014: 733-740 - [c12]Chenhui Hu, Georges El Fakhri, Quanzheng Li:
Erratum: Evaluating Structural Symmetry of Weighted Brain Networks via Graph Matching. MICCAI (2) 2014: E1 - 2013
- [c11]Chenhui Hu, Lin Cheng, Jorge Sepulcre, Georges El Fakhri, Yue M. Lu, Quanzheng Li:
Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification. IPMI 2013: 1-12 - [c10]Chenhui Hu, Lin Cheng, Jorge Sepulcre, Georges El Fakhri, Yue M. Lu, Quanzheng Li:
A graph theoretical regression model for brain connectivity learning of Alzheimer'S disease. ISBI 2013: 616-619 - [c9]Joyita Dutta, Georges El Fakhri, Chuan Huang, Yoann Petibon, Timothy G. Reese, Quanzheng Li:
Respiratory motion compensation in simultaneous PET/MR using a maximum a posteriori approach. ISBI 2013: 800-803 - 2012
- [c8]Wentao Zhu, Quanzheng Li, Richard M. Leahy:
Dual-time-point Patlak estimation from list mode PET data. ISBI 2012: 486-489 - [c7]Yanguang Lin, Quanzheng Li, Justin P. Haldar, Richard M. Leahy:
Constrained mixture modeling for the estimation of kinetic parameters in dynamic PET. ISBI 2012: 1004-1007 - 2011
- [j9]Sangeetha Somayajula, Christos Panagiotou, Anand Rangarajan, Quanzheng Li, Simon R. Arridge, Richard M. Leahy:
PET Image Reconstruction Using Information Theoretic Anatomical Priors. IEEE Trans. Medical Imaging 30(3): 537-549 (2011) - [j8]Sangtae Ahn, Sanghee Cho, Quanzheng Li, Yanguang Lin, Richard M. Leahy:
Optimal Rebinning of Time-of-Flight PET Data. IEEE Trans. Medical Imaging 30(10): 1808-1818 (2011) - 2010
- [j7]Anand A. Joshi, Dimitrios Pantazis, Quanzheng Li, Hanna Damasio, David W. Shattuck, Arthur W. Toga, Richard M. Leahy:
Sulcal set optimization for cortical surface registration. NeuroImage 50(3): 950-959 (2010)
2000 – 2009
- 2009
- [j6]Zheng Li, Quanzheng Li, Xiaoli Yu, Peter S. Conti, Richard M. Leahy:
Lesion Detection in Dynamic FDG-PET Using Matched Subspace Detection. IEEE Trans. Medical Imaging 28(2): 230-240 (2009) - [j5]Zheng Li, Quanzheng Li, Dimitrios Pantazis, Xiaoli Yu, Peter S. Conti, Richard M. Leahy:
Controlling Familywise Error Rate for Matched Subspace Detection in Dynamic FDG PET. IEEE Trans. Medical Imaging 28(10): 1623-1631 (2009) - [c6]Anand A. Joshi, David W. Shattuck, Dimitrios Pantazis, Quanzheng Li, Hanna Damasio, Richard M. Leahy:
Optimization of landmark selection for cortical surface registration. CVPR 2009: 699-706 - [c5]Quanzheng Li, Richard M. Leahy:
Direct Estimation of Patlak Parameters from List Mode PET Data. ISBI 2009: 390-393 - 2007
- [j4]Quanzheng Li, Evren Asma, Sangtae Ahn, Richard M. Leahy:
A Fast Fully 4-D Incremental Gradient Reconstruction Algorithm for List Mode PET Data. IEEE Trans. Medical Imaging 26(1): 58-67 (2007) - [j3]Sanghee Cho, Quanzheng Li, Sangtae Ahn, Bing Bai, Richard M. Leahy:
Iterative Image Reconstruction Using Inverse Fourier Rebinning for Fully 3-D PET. IEEE Trans. Medical Imaging 26(5): 745-756 (2007) - [c4]Quanzheng Li, Richard M. Leahy:
Variance Approximation for Exponential Family Penalized Maximum Likelihood Estimators: Application fo Kinetic Parametric Estimation. ISBI 2007: 916-919 - 2006
- [j2]Quanzheng Li, Richard M. Leahy:
Statistical Modeling and Reconstruction of Randoms Precorrected PET Data. IEEE Trans. Medical Imaging 25(12): 1565-1572 (2006) - [c3]Quanzheng Li, Richard M. Leahy:
Statistical modeling and reconstruction of randoms pre-corrected PET data. ISBI 2006: 283-286 - [c2]Zheng Li, Quanzheng Li, Xiaoli Yu, Peter S. Conti, Richard M. Leahy:
Matched subspace detection for dynamic PET: an ROC phantom study for MAP reconstruction. ISBI 2006: 1332-1335 - 2004
- [j1]Quanzheng Li, Evren Asma, Jinyi Qi, James R. Bading, Richard M. Leahy:
Accurate estimation of the fisher information matrix for the PET image reconstruction problem. IEEE Trans. Medical Imaging 23(9): 1057-1064 (2004) - [c1]Quanzheng Li, Evren Asma, Richard M. Leahy:
A Fast Fully 4D Incremental Gradient Reconstruction Algorithm for List Mode PET Data. ISBI 2004: 555-558
Coauthor Index
Kyung Sang Kim
aka: Kyungsang Kim
aka: Kyungsang Kim
[j46] [j45] [j43] [j42] [c88] [c87] [c86] [c84] [c83] [c81] [c78] [c77] [i88] [i86] [i85] [i84] [i82] [i80] [i77] [i73] [i71] [i70] [c76] [c75] [c71] [c70] [c68] [e4] [i66] [i63] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [c64] [c61] [e3] [i37] [j34] [j31] [e2] [i34] [j30] [j28] [j26] [c58] [c56] [c51] [c48] [c47] [e1] [i25] [j24] [c44] [c42] [c41] [c40] [c39] [c32] [i20] [i18] [i17] [c29] [c27] [c26] [c25] [i15] [i13] [i12] [c22] [c21] [i8] [i7] [i5] [i3]
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