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2020 – today
- 2024
[j41]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)- [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) - [c80]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 - [c79]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 - [c78]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 - [c77]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 - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]Jiang Hu, Quanzheng Li:
AdaFish: Fast low-rank parameter-efficient fine-tuning by using second-order information. CoRR abs/2403.13128 (2024) - [i79]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) - [i78]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) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]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) - [i70]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) - [i69]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) - 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:
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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:
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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:
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