Zhicheng Jiao - RankMe

89 papers A* 4B 2Journal 58Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for pulmonary embolism diagnosis and report generation from CTPA. Medical Image Anal. Zhusi Zhong, Yuli Wang, Lulu Bi, Zhuoqi Ma, Sun Ho Ahn, Christopher J. Mullin, Colin Greineder, Michael K. Atalay, Scott Collins, Grayson Baird, Cheng Ting Lin, J. Webster Stayman, Todd M. Kolb, Ihab Kamel, Harrison X. Bai, Zhicheng Jiao
2026	J	`jnl`	SegMIC: A universal model for medical image segmentation through in-context learning. Pattern Recognit. Jianwei Zhao, Fan Yang, Xin Li, Zhicheng Jiao, Qiang Zhai, Xiaomeng Li, De Wu, Huazhu Fu, Hong Cheng
2025	J	`jnl`	Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA. CoRR Zhusi Zhong, Yuli Wang, Lulu Bi, Zhuoqi Ma, Sun Ho Ahn, Christopher J. Mullin, Colin Greineder, Michael K. Atalay, Scott Collins, Grayson Baird, Cheng Ting Lin, J. Webster Stayman, Todd M. Kolb, Ihab Kamel, Harrison X. Bai, Zhicheng Jiao
2025	J	`jnl`	CheXPO-v2: Preference Optimization for Chest X-ray VLMs with Knowledge Graph Consistency. CoRR Xiao Liang, Yuxuan An, Di Wang, Jiawei Hu, Zhicheng Jiao, Bin Jing, Quan Wang
2025	A*	`conf`	Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation. CVPR Kang Liu, Zhuoqi Ma, Xiaolu Kang, Yunan Li, Kun Xie, Zhicheng Jiao, Qiguang Miao
2025	J	`jnl`	Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation. CoRR Kang Liu, Zhuoqi Ma, Xiaolu Kang, Yunan Li, Kun Xie, Zhicheng Jiao, Qiguang Miao
2025	—	`conf`	Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning. MICCAI (7) Haoyue Guan, Yuwei Dai, Shadi Afyouni, Alec Kain, Wen-Chi Hsu, Jiashu Cheng, Sophie Yao, Yuli Wang, Jing Wu, Rishitha Pulakhandam, Lin-Mei Zhao, Chengzhang Zhu, Zhicheng Jiao, Craig Jones, Harrison Bai
2025	J	`jnl`	Fine-grained knowledge fusion for retrieval-augmented medical visual question answering. Inf. Fusion Xiao Liang, Di Wang, Bin Jing, Zhicheng Jiao, Ronghan Li, Ruyi Liu, Qiguang Miao, Quan Wang
2025	J	`jnl`	Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. IEEE J. Biomed. Health Informatics Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael Atalay, Xingbo Gao, Zhicheng Jiao
2025	B	`conf`	RFID-Based Vital Sign Monitoring Under Motion Using Physics-Informed Generative Models. MASS Ningning Wang, Yiting Wang, Tianya Zhao, Yuwei Dai, Harrison X. Bai, Karthik Suresh, Zhicheng Jiao, Shiwen Mao, Xuyu Wang
2025	—	`conf`	Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images. ISBI Zhusi Zhong, Zhuoqi Ma, Thomas Y. Yi, Scott Collins, Grayson Baird, Harrison X. Bai, Paul Zhang, Terrance Healey, Michael K. Atalay, Zhicheng Jiao
2025	—	`conf`	Transfering Coordinates to Heatmap: Regression-Based Framework for CXR Pulmonary Nodule Detection. BIBM Yang Li, Zhusi Zhong, Zhicheng Jiao
2025	J	`jnl`	Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models. CoRR Xiao Liang, Di Wang, Zhicheng Jiao, Ronghan Li, Pengfei Yang, Quan Wang, Tat-Seng Chua
2025	J	`jnl`	Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. npj Digit. Medicine Zhusi Zhong, Yuli Wang, Jing Wu, Wen-Chi Hsu, Vin Somasundaram, Lulu Bi, Shreyas Kulkarni, Zhuoqi Ma, Scott Collins, Grayson Baird, Sun Ho Ahn, Xue Feng, Ihab Kamel, Cheng Ting Lin, Colin Greineder, Michael Atalay, Zhicheng Jiao, Harrison X. Bai
2024	J	`jnl`	Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction. J. Imaging Inform. Medicine Daniel D. Kim, Rajat S. Chandra, Li Yang, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Anahita Fathi Kazerooni, Ali Nabavizadeh, Zhicheng Jiao, Jian Peng, Harrison X. Bai
2024	J	`jnl`	An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer. J. Imaging Inform. Medicine Yang Li, Maliha R. Imami, Linmei Zhao, Alireza Amindarolzarbi, Esther Mena, Jeffrey Leal, Junyu Chen, Andrei Gafita, Andrew F. Voter, Xin Li, Yong Du, Chengzhang Zhu, Peter L. Choyke, Beiji Zou, Zhicheng Jiao, Steven P. Rowe, Martin G. Pomper, Harrison X. Bai
2024	J	`jnl`	An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics Chunna Tian, Zhenxi Zhang, Xinbo Gao, Heng Zhou, Ran Ran, Zhicheng Jiao
2024	J	`jnl`	Brain-driven facial image reconstruction via StyleGAN inversion with improved identity consistency. Pattern Recognit. Ziqi Ren, Jie Li, Lukun Wu, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao
2024	J	`jnl`	De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J. Biomed. Health Informatics Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison X. Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao
2024	B	`conf`	ECG-grained Cardiac Monitoring Using RFID. ICCCN Ningning Wang, Tianya Zhao, Shiwen Mao, Harrison X. Bai, Zhicheng Jiao, Xuyu Wang
2024	A*	`conf`	Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection. NeurIPS Yuli Wang, Peng Jian, Yuwei Dai, Craig K. Jones, Haris I. Sair, Jinglai Shen, Nicolas Loizou, Jing Wu, Wen-Chi Hsu, Maliha Imami, Zhicheng Jiao, Paul Zhang, Harrison X. Bai
2024	J	`jnl`	Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation. CoRR Kang Liu, Zhuoqi Ma, Mengmeng Liu, Zhicheng Jiao, Xiaolu Kang, Qiguang Miao, Kun Xie
2024	—	`conf`	Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering. MICCAI (5) Xiao Liang, Yin Wang, Di Wang, Zhicheng Jiao, Haodi Zhong, Mengyu Yang, Quan Wang
2024	J	`jnl`	MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation. CoRR Kang Liu, Zhuoqi Ma, Kun Xie, Zhicheng Jiao, Qiguang Miao
2024	J	`jnl`	MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model. CoRR Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao
2024	J	`jnl`	Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. CoRR Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison X. Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao
2024	J	`jnl`	Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. CoRR Zhusi Zhong, Helen Zhang, Fayez H. Fayad, Andrew C. Lancaster, John Sollee, Shreyas Kulkarni, Cheng Ting Lin, Jie Li, Xinbo Gao, Scott Collins, Colin Greineder, Sun Ho Ahn, Harrison X. Bai, Zhicheng Jiao, Michael K. Atalay
2024	J	`jnl`	Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. CoRR Zhusi Zhong, Jie Li, Zhuoqi Ma, Scott Collins, Harrison X. Bai, Paul Zhang, Terrance Healey, Xinbo Gao, Michael K. Atalay, Zhicheng Jiao
2024	—	`conf`	Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. MICCAI (3) Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao
2024	J	`jnl`	Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation. CoRR Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison X. Bai, Qiguang Miao
2023	J	`jnl`	AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. IEEE J. Biomed. Health Informatics Yang Li, Beiji Zou, Peishan Dai, Miao Liao, Harrison X. Bai, Zhicheng Jiao
2023	J	`jnl`	Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. CoRR Daniel D. Kim, Rajat S. Chandra, Jian Peng, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Li Yang, Anahita Fathi Kazerooni, Ali Nabavizadeh, Harrison X. Bai, Zhicheng Jiao
2023	J	`jnl`	Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. J. Imaging Inform. Medicine Xue Feng, Kanchan Ghimire, Daniel D. Kim, Rajat S. Chandra, Helen Zhang, Jian Peng, Binghong Han, Gaofeng Huang, Quan Chen, Sohil H. Patel, Chetan Bettagowda, Haris I. Sair, Craig K. Jones, Zhicheng Jiao, Li Yang, Harrison X. Bai
2023	J	`jnl`	Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation. CoRR Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Fan Yang, Xin Li, Zhicheng Jiao
2023	—	`conf`	Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023	J	`jnl`	Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan
2023	—	`conf`	Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. MICCAI (5) Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison X. Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao
2023	J	`jnl`	MGL: Mutual Graph Learning for Camouflaged Object Detection. IEEE Trans. Image Process. Qiang Zhai, Xin Li, Fan Yang, Zhicheng Jiao, Ping Luo, Hong Cheng, Zicheng Liu
2023	J	`jnl`	Reconstructing controllable faces from brain activity with hierarchical multiview representations. Neural Networks Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao
2023	J	`jnl`	Robust Scene Parsing by Mining Supportive Knowledge From Dataset. IEEE Trans. Neural Networks Learn. Syst. Ao Luo, Fan Yang, Xin Li, Yuezun Li, Zhicheng Jiao, Hong Cheng, Siwei Lyu
2023	J	`jnl`	SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. CoRR Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison X. Bai, Zhicheng Jiao
2023	—	`conf`	Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation. MICCAI (2) Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao
2023	J	`jnl`	Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation. CoRR Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao
2022	—	`conf`	A dynamic multi-modal fusion network for ovarian tumor differentiation. BIBM Yang Li, Beiji Zou, Jing Wu, Yulan Dai, Harrison X. Bai, Zhicheng Jiao
2022	J	`jnl`	An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison X. Bai
2022	J	`jnl`	Collaborative boundary-aware context encoding networks for error map prediction. Pattern Recognit. Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong
2022	J	`jnl`	Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Anal. Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Bing Cao, Zhanhao Mo, Qian Wang, Han Zhang, Dinggang Shen
2022	J	`jnl`	Discriminative error prediction network for semi-supervised colon gland segmentation. Medical Image Anal. Zhenxi Zhang, Chunna Tian, Harrison X. Bai, Zhicheng Jiao, Xilan Tian
2022	J	`jnl`	Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. Neurocomputing Zhenxi Zhang, Chunna Tian, Xinbo Gao, Cui Wang, Xue Feng, Harrison X. Bai, Zhicheng Jiao
2022	J	`jnl`	EFRNet: Efficient Feature Reconstructing Network for Real-Time Scene Parsing. IEEE Trans. Multim. Xin Li, Fan Yang, Ao Luo, Zhicheng Jiao, Hong Cheng, Zicheng Liu
2022	J	`jnl`	Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation. CoRR Zhenxi Zhang, Chunna Tian, Zhicheng Jiao
2022	—	`conf`	Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. MICCAI (4) Yang Li, Beiji Zou, Yulan Dai, Chengzhang Zhu, Fan Yang, Xin Li, Harrison X. Bai, Zhicheng Jiao
2021	J	`jnl`	A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography. Comput. Medical Imaging Graph. Shan An, Haogang Zhu, Yuanshuai Wang, Fangru Zhou, Xiaoxue Zhou, Xu Yang, Yingying Zhang, Xiangyu Liu, Zhicheng Jiao, Yihua He
2021	J	`jnl`	A deep fusion framework for unlabeled data-driven tumor recognition. Pattern Recognit. Xiaohui Yang, Wenming Wu, Licheng Jiao, Changzhe Jiao, Zhicheng Jiao
2021	J	`jnl`	Quality-driven deep active learning method for 3D brain MRI segmentation. Neurocomputing Zhenxi Zhang, Jie Li, Chunna Tian, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2021	J	`jnl`	Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning. NeuroImage Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao
2021	—	`conf`	Simultaneous Segmentation of Four Cardiac Chambers in Fetal Echocardiography. EMBC Shan An, Xiaoxue Zhou, Haogang Zhu, Fangru Zhou, Yuduo Wu, Tingyang Yang, Xiangyu Liu, Yingying Zhang, Zhicheng Jiao, Yihua He
2020	—	`conf`	A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. MICCAI (7) Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan
2020	—	`conf`	Cascade Graph Neural Networks for RGB-D Salient Object Detection. ECCV (12) Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu
2020	J	`jnl`	Cascade Graph Neural Networks for RGB-D Salient Object Detection. CoRR Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu
2020	J	`jnl`	Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction. CoRR Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2020	J	`jnl`	Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. IEEE Trans. Medical Imaging Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, Dinggang Shen
2020	J	`jnl`	Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. IEEE Trans. Medical Imaging Tae-Eui Kam, Han Zhang, Zhicheng Jiao, Dinggang Shen
2020	A*	`conf`	Hybrid Graph Neural Networks for Crowd Counting. AAAI Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng
2020	J	`jnl`	Hybrid Graph Neural Networks for Crowd Counting. CoRR Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng
2020	—	`conf`	Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. ISBI Zhicheng Jiao, Hongming Li, Yong Fan
2020	J	`jnl`	Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution. IEEE J. Biomed. Health Informatics Xuetong Xue, Ying Wang, Jie Li, Zhicheng Jiao, Ziqi Ren, Xinbo Gao
2020	J	`jnl`	Webly-supervised learning for salient object detection. Pattern Recognit. Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng
2019	—	`conf`	A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. CSI@MICCAI Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao
2019	—	`conf`	A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. MICCAI (3) Tae-Eui Kam, Xuyun Wen, Bing Jin, Zhicheng Jiao, Li-Ming Hsu, Zhen Zhou, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen
2019	—	`conf`	A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI. IScIDE (1) Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2019	J	`jnl`	A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation. CoRR Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao
2019	—	`conf`	An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. MICCAI (6) Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao
2019	J	`jnl`	An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. CoRR Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao
2019	—	`conf`	CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. MICCAI (3) Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen
2019	A*	`conf`	Decoding EEG by Visual-guided Deep Neural Networks. IJCAI Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen
2019	—	`conf`	Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. MICCAI (4) Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen
2019	—	`conf`	Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. MICCAI (1) Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen
2019	J	`jnl`	Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning. CoRR Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao
2019	—	`conf`	Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. MICCAI (3) Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xingbo Gao
2019	J	`jnl`	Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. CoRR Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Fan Wu, Zhicheng Jiao, Jian Yang, Xingbo Gao
2019	J	`jnl`	Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates. CoRR Yalong Liu, Jie Li, Miaomiao Wang, Zhicheng Jiao, Jian Yang, Xianjun Li
2018	J	`jnl`	A parasitic metric learning net for breast mass classification based on mammography. Pattern Recognit. Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li
2018	J	`jnl`	Deep Convolutional Neural Networks for mental load classification based on EEG data. Pattern Recognit. Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li, Haojun Xu
2018	—	`conf`	Deep Differential Coding for High-Resolution Remote Sensing Scene Classification. ICIGP Qiuping Shi, Jie Li, Zhicheng Jiao, Ying Wang
2017	J	`jnl`	Restricting Greed in Training of Generative Adversarial Network. CoRR Haoxuan You, Zhicheng Jiao, Haojun Xu, Jie Li, Ying Wang, Xinbo Gao
2016	J	`jnl`	A deep feature based framework for breast masses classification. Neurocomputing Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li
2016	—	`conf`	Asymmetry Analysis with Sparse Autoencoder in Mammography. ICIMCS Dongxiao Yang, Ying Wang, Zhicheng Jiao
2016	—	`conf`	Mammographic Mass Detection Based on Saliency with Deep Features. ICIMCS Yang Hu, Jie Li, Zhicheng Jiao