Mammographic Mass Detection Based on Saliency with Deep Features. - Yang Hu 003; Jie Li 001; Zhicheng Jiao (ICIMCS, 2016)

Asymmetry Analysis with Sparse Autoencoder in Mammography. - Dongxiao Yang; Ying Wang 007; Zhicheng Jiao (ICIMCS, 2016)

A deep feature based framework for breast masses classification. - Zhicheng Jiao; Xinbo Gao 001; Ying Wang 007; Jie Li 001 (Neurocomputing, 2016)

Restricting Greed in Training of Generative Adversarial Network. - Haoxuan You; Zhicheng Jiao; Haojun Xu; Jie Li 001; Ying Wang 007; Xinbo Gao 001 (CoRR, 2017)

Deep Differential Coding for High-Resolution Remote Sensing Scene Classification. - Qiuping Shi; Jie Li 001; Zhicheng Jiao; Ying Wang 007 (ICIGP, 2018)

A parasitic metric learning net for breast mass classification based on mammography. - Zhicheng Jiao; Xinbo Gao 001; Ying Wang 007; Jie Li 001 (Pattern Recognit., 2018)

Deep Convolutional Neural Networks for mental load classification based on EEG data. - Zhicheng Jiao; Xinbo Gao 001; Ying Wang 007; Jie Li 001; Haojun Xu (Pattern Recognit., 2018)

Decoding EEG by Visual-guided Deep Neural Networks. - Zhicheng Jiao; Haoxuan You; Fan Yang 054; Xin Li 079; Han Zhang 002; Dinggang Shen (IJCAI, 2019)

A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI. - Zhenxi Zhang; Jie Li 001; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (IScIDE (1), 2019)

CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. - Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Guoshi Li; Qian Wang 001; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. - Zhicheng Jiao; Pu Huang; Tae-Eui Kam; Li-Ming Hsu; Ye Wu 001; Han Zhang 002; Dinggang Shen (MICCAI (4), 2019)

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. - Tae-Eui Kam; Xuyun Wen; Bing Jin; Zhicheng Jiao; Li-Ming Hsu; Zhen Zhou 004; Yujie Liu; Koji Yamashita; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. - Yalong Liu; Jie Li 001; Ying Wang 007; Miaomiao Wang; Xianjun Li; Zhicheng Jiao; Jian Yang 003; Xingbo Gao 001 (MICCAI (3), 2019)

Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. - Zhenyu Tang 002; Yuyun Xu; Zhicheng Jiao; Junfeng Lu; Lei Jin 006; Abudumijiti Aibaidula; Jinsong Wu 002; Qian Wang 001; Han Zhang 002; Dinggang Shen (MICCAI (1), 2019)

An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. - Zhusi Zhong; Jie Li 001; Zhenxi Zhang; Zhicheng Jiao; Xinbo Gao 001 (MICCAI (6), 2019)

A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. - Zhusi Zhong; Jie Li 001; Zhenxi Zhang; Zhicheng Jiao; Xinbo Gao 001 (CSI@MICCAI, 2019)

A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation. - Zhenxi Zhang; Jie Li 001; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (CoRR, 2019)

Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. - Yalong Liu; Jie Li 001; Ying Wang 007; Miaomiao Wang; Fan Wu 006; Zhicheng Jiao; Jian Yang 003; Xingbo Gao 001 (CoRR, 2019)

Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning. - Ziqi Ren; Jie Li 001; Xuetong Xue; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Xinbo Gao 001 (CoRR, 2019)

Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates. - Yalong Liu; Jie Li 001; Miaomiao Wang; Zhicheng Jiao; Jian Yang 003; Xianjun Li (CoRR, 2019)

Hybrid Graph Neural Networks for Crowd Counting. - Ao Luo; Fan Yang 054; Xin Li 079; Dong Nie; Zhicheng Jiao; Shangchen Zhou; Hong Cheng 002 (AAAI, 2020)

Cascade Graph Neural Networks for RGB-D Salient Object Detection. - Ao Luo; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Hong Cheng 002; Siwei Lyu (ECCV (12), 2020)

Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. - Zhicheng Jiao; Hongming Li; Yong Fan 001 (ISBI, 2020)

A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. - Chongyue Zhao; Hongming Li; Zhicheng Jiao; Tianming Du; Yong Fan 001 (MICCAI (7), 2020)

Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction. - Zhenxi Zhang; Chunna Tian; Jie Li 001; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (CoRR, 2020)

Webly-supervised learning for salient object detection. - Ao Luo; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Hong Cheng 002 (Pattern Recognit., 2020)

Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution. - Xuetong Xue; Ying Wang 007; Jie Li 001; Zhicheng Jiao; Ziqi Ren; Xinbo Gao 001 (IEEE J. Biomed. Health Informatics, 2020)

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. - Tae-Eui Kam; Han Zhang 002; Zhicheng Jiao; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. - Zhenyu Tang 002; Yuyun Xu; Lei Jin 006; Abudumijiti Aibaidula; Junfeng Lu; Zhicheng Jiao; Jinsong Wu 002; Han Zhang 002; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Simultaneous Segmentation of Four Cardiac Chambers in Fetal Echocardiography. - Shan An; Xiaoxue Zhou; Haogang Zhu; Fangru Zhou; Yuduo Wu; Tingyang Yang; Xiangyu Liu; Yingying Zhang; Zhicheng Jiao; Yihua He (EMBC, 2021)

A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography. - Shan An; Haogang Zhu; Yuanshuai Wang; Fangru Zhou; Xiaoxue Zhou; Xu Yang; Yingying Zhang; Xiangyu Liu; Zhicheng Jiao; Yihua He (Comput. Medical Imaging Graph., 2021)

Quality-driven deep active learning method for 3D brain MRI segmentation. - Zhenxi Zhang; Jie Li 001; Chunna Tian; Zhusi Zhong; Zhicheng Jiao; Xinbo Gao 001 (Neurocomputing, 2021)

Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning. - Ziqi Ren; Jie Li 001; Xuetong Xue; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Xinbo Gao 001 (NeuroImage, 2021)

A deep fusion framework for unlabeled data-driven tumor recognition. - Xiaohui Yang; Wenming Wu; Licheng Jiao; Changzhe Jiao; Zhicheng Jiao (Pattern Recognit., 2021)

A dynamic multi-modal fusion network for ovarian tumor differentiation. - Yang Li 111; Beiji Zou 001; Jing Wu; Yulan Dai; Harrison X. Bai; Zhicheng Jiao (BIBM, 2022)

Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. - Yang Li 111; Beiji Zou 001; Yulan Dai; Chengzhang Zhu; Fan Yang 054; Xin Li 079; Harrison X. Bai; Zhicheng Jiao (MICCAI (4), 2022)

Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation. - Zhenxi Zhang; Chunna Tian; Zhicheng Jiao (CoRR, 2022)

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. - Zhenxi Zhang; Chunna Tian; Xinbo Gao 001; Cui Wang; Xue Feng 001; Harrison X. Bai; Zhicheng Jiao (Neurocomputing, 2022)

Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. - Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Bing Cao 002; Zhanhao Mo; Qian Wang 001; Han Zhang 002; Dinggang Shen (Medical Image Anal., 2022)

Discriminative error prediction network for semi-supervised colon gland segmentation. - Zhenxi Zhang; Chunna Tian; Harrison X. Bai; Zhicheng Jiao; Xilan Tian (Medical Image Anal., 2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - 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 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

Collaborative boundary-aware context encoding networks for error map prediction. - Zhenxi Zhang; Chunna Tian; Xinbo Gao 001; Jie Li 001; Zhicheng Jiao; Cui Wang; Zhusi Zhong (Pattern Recognit., 2022)

EFRNet: Efficient Feature Reconstructing Network for Real-Time Scene Parsing. - Xin Li 079; Fan Yang 054; Ao Luo; Zhicheng Jiao; Hong Cheng 002; Zicheng Liu 001 (IEEE Trans. Multim., 2022)

Deep Clustering Survival Machines with Interpretable Expert Distributions. - Bojian Hou; Hongming Li; Zhicheng Jiao; Zhen Zhou 004; Hao Zheng 006; Yong Fan 001 (ISBI, 2023)

Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation. - Zhenxi Zhang; Ran Ran; Chunna Tian; Heng Zhou 006; Xin Li 079; Fan Yang 054; Zhicheng Jiao (MICCAI (2), 2023)

Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. - Zhusi Zhong; Jie Li 001; Shreyas Kulkarni; Yang Li 111; Fayez H. Fayad; Helen Zhang; Sun Ho Ahn; Harrison X. Bai; Xinbo Gao 001; Michael Atalay; Zhicheng Jiao (MICCAI (5), 2023)

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. - Daniel D. Kim; Rajat S. Chandra; Jian Peng; Jing Wu; Xue Feng 001; Michael Atalay; Chetan Bettegowda; Craig K. Jones; Haris I. Sair; Wei-hua Liao; Chengzhang Zhu; Beiji Zou 001; et al. (CoRR, 2023)

Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation. - Zhenxi Zhang; Ran Ran; Chunna Tian; Heng Zhou 006; Fan Yang 054; Xin Li 079; Zhicheng Jiao (CoRR, 2023)

SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. - Zhusi Zhong; Jie Li 001; Lulu Bi; Li Yang 014; Ihab Kamel; Rama Chellappa; Xinbo Gao 001; Harrison X. Bai; Zhicheng Jiao (CoRR, 2023)

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. - Xue Feng 001; 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; et al. (J. Imaging Inform. Medicine, 2023)

MGL: Mutual Graph Learning for Camouflaged Object Detection. - Qiang Zhai; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Ping Luo 002; Hong Cheng 002; Zicheng Liu 001 (IEEE Trans. Image Process., 2023)

Robust Scene Parsing by Mining Supportive Knowledge From Dataset. - Ao Luo; Fan Yang 054; Xin Li 079; Yuezun Li; Zhicheng Jiao; Hong Cheng 002; Siwei Lyu (IEEE Trans. Neural Networks Learn. Syst., 2023)

AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. - Yang Li 111; Beiji Zou 001; Peishan Dai; Miao Liao; Harrison X. Bai; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2023)

Reconstructing controllable faces from brain activity with hierarchical multiview representations. - Ziqi Ren; Jie Li 001; Xuetong Xue; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Xinbo Gao 001 (Neural Networks, 2023)

ECG-grained Cardiac Monitoring Using RFID. - Ningning Wang; Tianya Zhao; Shiwen Mao; Harrison X. Bai; Zhicheng Jiao; Xuyu Wang (ICCCN, 2024)

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering. - Xiao Liang; Yin Wang; Di Wang 011; Zhicheng Jiao; Haodi Zhong; Mengyu Yang; Quan Wang 006 (MICCAI (5), 2024)

Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. - Kang Liu; Zhuoqi Ma; Xiaolu Kang; Zhusi Zhong; Zhicheng Jiao; Grayson Baird; Harrison X. Bai; Qiguang Miao (MICCAI (3), 2024)

Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection. - 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; et al. (NeurIPS, 2024)

Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. - Zhusi Zhong; Jie Li 001; Zhuoqi Ma; Scott Collins; Harrison X. Bai; Paul Zhang; Terrance Healey; Xinbo Gao 001; Michael K. Atalay; Zhicheng Jiao (CoRR, 2024)

Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation. - Kang Liu; Zhuoqi Ma; Mengmeng Liu; Zhicheng Jiao; Xiaolu Kang; Qiguang Miao; Kun Xie (CoRR, 2024)

Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. - Zhusi Zhong; Jie Li 001; John Sollee; Scott Collins; Harrison X. Bai; Paul Zhang; Terrence Healey; Michael Atalay; Xinbo Gao 001; Zhicheng Jiao (CoRR, 2024)

MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model. - Ziqi Ren; Jie Li 001; Xuetong Xue; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Xinbo Gao 001 (CoRR, 2024)

Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. - Zhusi Zhong; Helen Zhang; Fayez H. Fayad; Andrew C. Lancaster; John Sollee; Shreyas Kulkarni; Cheng Ting Lin; Jie Li 001; Xinbo Gao 001; Scott Collins; Colin Greineder; Sun Ho Ahn; et al. (CoRR, 2024)

MCL: Multi-view Enhanced Contrastive Learning for Chest X-ray Report Generation. - Kang Liu; Zhuoqi Ma; Kun Xie; Zhicheng Jiao; Qiguang Miao (CoRR, 2024)

Brain-driven facial image reconstruction via StyleGAN inversion with improved identity consistency. - Ziqi Ren; Jie Li 001; Lukun Wu; Xuetong Xue; Xin Li 079; Fan Yang 054; Zhicheng Jiao; Xinbo Gao 001 (Pattern Recognit., 2024)

An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation. - Chunna Tian; Zhenxi Zhang; Xinbo Gao 001; Heng Zhou 006; Ran Ran; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2024)

De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. - Zhusi Zhong; Jie Li 001; Shreyas Kulkarni; Helen Zhang; Fayez H. Fayad; Yang Li 111; Scott Collins; Harrison X. Bai; Sun Ho Ahn; Michael K. Atalay; Xinbo Gao 001; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2024)

Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation. - Kang Liu; Zhuoqi Ma; Xiaolu Kang; Yunan Li 001; Kun Xie; Zhicheng Jiao; Qiguang Miao (CVPR, 2025)

Risk-RAM: An Interpretable Deep Survival Prediction Model for COVID-19 Prognosis Using Chest X-Ray Images. - Zhusi Zhong; Zhuoqi Ma; Thomas Y. Yi; Scott Collins; Grayson Baird; Harrison X. Bai; Paul Zhang; Terrance Healey; Michael K. Atalay; Zhicheng Jiao (ISBI, 2025)

Fine-grained knowledge fusion for retrieval-augmented medical visual question answering. - Xiao Liang; Di Wang 011; Bin Jing; Zhicheng Jiao; Ronghan Li; Ruyi Liu; Qiguang Miao; Quan Wang 006 (Inf. Fusion, 2025)

Vision-language model for report generation and outcome prediction in CT pulmonary angiogram. - 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 001; et al. (npj Digit. Medicine, 2025)

Abn-BLIP: Abnormality-aligned Bootstrapping Language-Image Pre-training for Pulmonary Embolism Diagnosis and Report Generation from CTPA. - 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; et al. (CoRR, 2025)

Multi-Modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. - Zhusi Zhong; Jie Li 001; John Sollee; Scott Collins; Harrison X. Bai; Paul Zhang; Terrance Healey; Michael Atalay; Xingbo Gao 001; Zhicheng Jiao (IEEE J. Biomed. Health Informatics, 2025)

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models. - Xiao Liang; Di Wang 011; Zhicheng Jiao; Ronghan Li; Pengfei Yang 001; Quan Wang 006; Tat-Seng Chua (CoRR, 2025)

SegMIC: A universal model for medical image segmentation through in-context learning. - Jianwei Zhao; Fan Yang 054; Xin Li 079; Zhicheng Jiao; Qiang Zhai; Xiaomeng Li 001; De Wu; Huazhu Fu; Hong Cheng 002 (Pattern Recognit., 2026)