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2020 – today
- 2024
[j25]Ziqi Ren, Jie Li, Lukun Wu
, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao:
Brain-driven facial image reconstruction via StyleGAN inversion with improved identity consistency. Pattern Recognit. 150: 110331 (2024)- [j24]Chunna Tian, Zhenxi Zhang, Xinbo Gao, Heng Zhou, Ran Ran, Zhicheng Jiao:
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 28(2): 929-940 (2024) - [j23]Zhusi Zhong, Jie Li, Shreyas Kulkarni, Helen Zhang, Fayez H. Fayad, Yang Li, Scott Collins, Harrison Bai, Sun Ho Ahn, Michael K. Atalay, Xinbo Gao, Zhicheng Jiao:
De-Biased Disentanglement Learning for Pulmonary Embolism Survival Prediction on Multimodal Data. IEEE J. Biomed. Health Informatics 28(6): 3732-3741 (2024) - [c25]Ningning Wang, Tianya Zhao, Shiwen Mao, Harrison X. Bai, Zhicheng Jiao, Xuyu Wang:
ECG-grained Cardiac Monitoring Using RFID. ICCCN 2024: 1-9 - [c24]Xiao Liang, Yin Wang, Di Wang, Zhicheng Jiao, Haodi Zhong, Mengyu Yang, Quan Wang:
Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering. MICCAI (5) 2024: 415-425 - [c23]Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison Bai, Qiguang Miao:
Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. MICCAI (3) 2024: 433-443 - [i21]Zhusi Zhong, Jie Li, Zhuoqi Ma, Scott Collins, Harrison Bai, Paul Zhang, Terrance Healey, Xinbo Gao, Michael K. Atalay, Zhicheng Jiao:
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19. CoRR abs/2405.02815 (2024) - [i20]Kang Liu, Zhuoqi Ma, Mengmeng Liu, Zhicheng Jiao, Xiaolu Kang, Qiguang Miao, Kun Xie:
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation. CoRR abs/2405.09586 (2024) - [i19]Zhusi Zhong, Jie Li, John Sollee, Scott Collins, Harrison Bai, Paul Zhang, Terrence Healey, Michael Atalay, Xinbo Gao, Zhicheng Jiao:
Multi-modality Regional Alignment Network for Covid X-Ray Survival Prediction and Report Generation. CoRR abs/2405.14113 (2024) - [i18]Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison Bai, Qiguang Miao:
Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation. CoRR abs/2405.14905 (2024) - [i17]Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao:
MindSemantix: Deciphering Brain Visual Experiences with a Brain-Language Model. CoRR abs/2405.18812 (2024) - [i16]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:
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data. CoRR abs/2406.01302 (2024) - 2023
- [j22]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:
Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. J. Imaging Inform. Medicine 36(5): 2075-2087 (2023) - [j21]Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao:
Reconstructing controllable faces from brain activity with hierarchical multiview representations. Neural Networks 166: 487-500 (2023) - [j20]Qiang Zhai, Xin Li, Fan Yang, Zhicheng Jiao, Ping Luo, Hong Cheng, Zicheng Liu:
MGL: Mutual Graph Learning for Camouflaged Object Detection. IEEE Trans. Image Process. 32: 1897-1910 (2023) - [j19]Yang Li, Beiji Zou, Peishan Dai, Miao Liao, Harrison X. Bai, Zhicheng Jiao:
AC-E Network: Attentive Context-Enhanced Network for Liver Segmentation. IEEE J. Biomed. Health Informatics 27(8): 4052-4061 (2023) - [j18]Ao Luo, Fan Yang, Xin Li, Yuezun Li, Zhicheng Jiao, Hong Cheng, Siwei Lyu:
Robust Scene Parsing by Mining Supportive Knowledge From Dataset. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2633-2646 (2023) - [c22]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. ISBI 2023: 1-4 - [c21]Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao:
Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation. MICCAI (2) 2023: 192-201 - [c20]Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao:
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. MICCAI (5) 2023: 515-525 - [i15]Bojian Hou, Hongming Li, Zhicheng Jiao, Zhen Zhou, Hao Zheng, Yong Fan:
Deep Clustering Survival Machines with Interpretable Expert Distributions. CoRR abs/2301.11826 (2023) - [i14]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:
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. CoRR abs/2302.10185 (2023) - [i13]Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Xin Li, Fan Yang, Zhicheng Jiao:
Self-aware and Cross-sample Prototypical Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2305.16214 (2023) - [i12]Zhenxi Zhang, Ran Ran, Chunna Tian, Heng Zhou, Fan Yang, Xin Li, Zhicheng Jiao:
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation. CoRR abs/2305.16216 (2023) - [i11]Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison Bai, Zhicheng Jiao:
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. CoRR abs/2306.08213 (2023) - 2022
- [j17]Zhenxi Zhang, Chunna Tian, Xinbo Gao, Cui Wang, Xue Feng, Harrison X. Bai, Zhicheng Jiao:
Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation. Neurocomputing 507: 369-382 (2022) - [j16]Zhenxi Zhang, Chunna Tian, Harrison X. Bai, Zhicheng Jiao, Xilan Tian:
Discriminative error prediction network for semi-supervised colon gland segmentation. Medical Image Anal. 79: 102458 (2022) - [j15]Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Bing Cao, Zhanhao Mo, Qian Wang, Han Zhang, Dinggang Shen:
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. Medical Image Anal. 79: 102472 (2022) - [j14]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 Bai:
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine 5 (2022) - [j13]Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong:
Collaborative boundary-aware context encoding networks for error map prediction. Pattern Recognit. 125: 108515 (2022) - [j12]Xin Li, Fan Yang, Ao Luo, Zhicheng Jiao, Hong Cheng, Zicheng Liu:
EFRNet: Efficient Feature Reconstructing Network for Real-Time Scene Parsing. IEEE Trans. Multim. 24: 2852-2865 (2022) - [c19]Yang Li, Beiji Zou, Jing Wu, Yulan Dai, Harrison X. Bai, Zhicheng Jiao:
A dynamic multi-modal fusion network for ovarian tumor differentiation. BIBM 2022: 767-772 - [c18]Yang Li, Beiji Zou, Yulan Dai, Chengzhang Zhu, Fan Yang, Xin Li, Harrison X. Bai, Zhicheng Jiao:
Parameter-Free Latent Space Transformer for Zero-Shot Bidirectional Cross-modality Liver Segmentation. MICCAI (4) 2022: 619-628 - [i10]Zhenxi Zhang, Chunna Tian, Zhicheng Jiao:
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation. CoRR abs/2206.01739 (2022) - 2021
- [j11]Shan An, Haogang Zhu, Yuanshuai Wang, Fangru Zhou, Xiaoxue Zhou, Xu Yang, Yingying Zhang, Xiangyu Liu, Zhicheng Jiao, Yihua He:
A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography. Comput. Medical Imaging Graph. 93: 101983 (2021) - [j10]Zhenxi Zhang, Jie Li, Chunna Tian, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
Quality-driven deep active learning method for 3D brain MRI segmentation. Neurocomputing 446: 106-117 (2021) - [j9]Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao:
Reconstructing seen image from brain activity by visually-guided cognitive representation and adversarial learning. NeuroImage 228: 117602 (2021) - [j8]Xiaohui Yang, Wenming Wu, Licheng Jiao, Changzhe Jiao, Zhicheng Jiao:
A deep fusion framework for unlabeled data-driven tumor recognition. Pattern Recognit. 119: 108066 (2021) - [c17]Shan An, Xiaoxue Zhou, Haogang Zhu, Fangru Zhou, Yuduo Wu, Tingyang Yang, Xiangyu Liu, Yingying Zhang, Zhicheng Jiao, Yihua He:
Simultaneous Segmentation of Four Cardiac Chambers in Fetal Echocardiography. EMBC 2021: 3122-3126 - 2020
- [j7]Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng:
Webly-supervised learning for salient object detection. Pattern Recognit. 103: 107308 (2020) - [j6]Xuetong Xue, Ying Wang, Jie Li, Zhicheng Jiao, Ziqi Ren, Xinbo Gao:
Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution. IEEE J. Biomed. Health Informatics 24(2): 377-386 (2020) - [j5]Tae-Eui Kam, Han Zhang, Zhicheng Jiao, Dinggang Shen:
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. IEEE Trans. Medical Imaging 39(2): 478-487 (2020) - [j4]Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, Dinggang Shen:
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. IEEE Trans. Medical Imaging 39(6): 2100-2109 (2020) - [c16]Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng:
Hybrid Graph Neural Networks for Crowd Counting. AAAI 2020: 11693-11700 - [c15]Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu:
Cascade Graph Neural Networks for RGB-D Salient Object Detection. ECCV (12) 2020: 346-364 - [c14]Zhicheng Jiao, Hongming Li, Yong Fan:
Improving Diagnosis of Autism Spectrum Disorder and Disentangling its Heterogeneous Functional Connectivity Patterns Using Capsule Networks. ISBI 2020: 1331-1334 - [c13]Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan:
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. MICCAI (7) 2020: 479-488 - [i9]Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng:
Hybrid Graph Neural Networks for Crowd Counting. CoRR abs/2002.00092 (2020) - [i8]Zhenxi Zhang, Chunna Tian, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction. CoRR abs/2006.14345 (2020) - [i7]Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu:
Cascade Graph Neural Networks for RGB-D Salient Object Detection. CoRR abs/2008.03087 (2020)
2010 – 2019
- 2019
- [c12]Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen:
Decoding EEG by Visual-guided Deep Neural Networks. IJCAI 2019: 1387-1393 - [c11]Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
A Multi-resolution Coarse-to-Fine Segmentation Framework with Active Learning in 3D Brain MRI. IScIDE (1) 2019: 285-298 - [c10]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
A Coarse-to-Fine Deep Heatmap Regression Method for Adolescent Idiopathic Scoliosis Assessment. CSI@MICCAI 2019: 101-106 - [c9]Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen:
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. MICCAI (3) 2019: 155-163 - [c8]Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Xianjun Li, Zhicheng Jiao, Jian Yang, Xingbo Gao:
Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. MICCAI (3) 2019: 193-201 - [c7]Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen:
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. MICCAI (1) 2019: 415-422 - [c6]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. MICCAI (6) 2019: 540-548 - [c5]Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen:
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. MICCAI (4) 2019: 620-628 - [c4]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:
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. MICCAI (3) 2019: 754-762 - [i6]Zhenxi Zhang, Jie Li, Zhusi Zhong, Zhicheng Jiao, Xinbo Gao:
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation. CoRR abs/1906.07367 (2019) - [i5]Zhusi Zhong, Jie Li, Zhenxi Zhang, Zhicheng Jiao, Xinbo Gao:
An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms. CoRR abs/1906.07549 (2019) - [i4]Yalong Liu, Jie Li, Ying Wang, Miaomiao Wang, Fan Wu, Zhicheng Jiao, Jian Yang, Xingbo Gao:
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants. CoRR abs/1906.09684 (2019) - [i3]Ziqi Ren, Jie Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao, Xinbo Gao:
Reconstructing Perceived Images from Brain Activity by Visually-guided Cognitive Representation and Adversarial Learning. CoRR abs/1906.12181 (2019) - [i2]Yalong Liu, Jie Li, Miaomiao Wang, Zhicheng Jiao, Jian Yang, Xianjun Li:
Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates. CoRR abs/1910.09773 (2019) - 2018
- [j3]Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li:
A parasitic metric learning net for breast mass classification based on mammography. Pattern Recognit. 75: 292-301 (2018) - [j2]Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li, Haojun Xu:
Deep Convolutional Neural Networks for mental load classification based on EEG data. Pattern Recognit. 76: 582-595 (2018) - [c3]Qiuping Shi, Jie Li, Zhicheng Jiao, Ying Wang:
Deep Differential Coding for High-Resolution Remote Sensing Scene Classification. ICIGP 2018: 71-77 - 2017
- [i1]Haoxuan You, Zhicheng Jiao, Haojun Xu, Jie Li, Ying Wang, Xinbo Gao:
Restricting Greed in Training of Generative Adversarial Network. CoRR abs/1711.10152 (2017) - 2016
- [j1]Zhicheng Jiao, Xinbo Gao, Ying Wang, Jie Li:
A deep feature based framework for breast masses classification. Neurocomputing 197: 221-231 (2016) - [c2]Dongxiao Yang, Ying Wang, Zhicheng Jiao:
Asymmetry Analysis with Sparse Autoencoder in Mammography. ICIMCS 2016: 287-291 - [c1]Yang Hu, Jie Li, Zhicheng Jiao:
Mammographic Mass Detection Based on Saliency with Deep Features. ICIMCS 2016: 292-297
Coauthor Index
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