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Jieneng Chen
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Journal Articles
- 2024
- [j8]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers. Medical Image Anal. 97: 103280 (2024) - [j7]Boxiang Yun, Baiying Lei, Jieneng Chen, Huiyu Wang, Song Qiu, Wei Shen, Qingli Li, Yan Wang:
SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(6): 4610-4624 (2024) - 2022
- [j6]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. Medical Image Anal. 75: 102287 (2022) - [j5]Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris N. Metaxas, Shaoting Zhang:
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Medical Image Anal. 80: 102517 (2022) - [j4]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang:
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Medical Image Anal. 82: 102642 (2022) - [j3]Guang Chen, Fa Wang, Weijun Li, Lin Hong, Jörg Conradt, Jieneng Chen, Zhenyan Zhang, Yiwen Lu, Alois C. Knoll:
NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations. IEEE Trans. Intell. Transp. Syst. 23(2): 1171-1183 (2022) - 2020
- [j2]Xiaobin Hu, Rui Guo, Jieneng Chen, Hongwei Li, Diana Waldmannstetter, Yu Zhao, Biao Li, Kuangyu Shi, Bjoern H. Menze:
Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images. IEEE J. Biomed. Health Informatics 24(9): 2599-2608 (2020) - 2019
- [j1]Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu:
Toward a Brain-Inspired System: Deep Recurrent Reinforcement Learning for a Simulated Self-Driving Agent. Frontiers Neurorobotics 13: 40 (2019)
Conference and Workshop Papers
- 2024
- [c14]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CVPR 2024: 12954-12966 - 2023
- [c13]Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CVPR 2023: 7422-7432 - [c12]Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille:
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation. CVPR 2023: 11259-11268 - [c11]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. ICCV 2023: 21095-21107 - [c10]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - 2022
- [c9]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang:
TransFG: A Transformer Architecture for Fine-Grained Recognition. AAAI 2022: 852-860 - [c8]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CVPR 2022: 12125-12134 - [c7]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. ECCV (8) 2022: 128-145 - 2021
- [c6]Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. AAAI 2021: 8801-8809 - [c5]Minhao Hu, Tao Song, Yujun Gu, Xiangde Luo, Jieneng Chen, Yinan Chen, Ya Zhang, Shaoting Zhang:
Fully Test-Time Adaptation for Image Segmentation. MICCAI (3) 2021: 251-260 - [c4]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang:
Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency. MICCAI (2) 2021: 318-329 - [c3]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - 2020
- [c2]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR 2020: 3832-3841 - [c1]Tao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang:
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans. MICCAI (6) 2020: 550-559
Informal and Other Publications
- 2024
- [i23]Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou:
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. CoRR abs/2403.15735 (2024) - [i22]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR abs/2404.02132 (2024) - [i21]Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan L. Yuille:
LLaVolta: Efficient Multi-modal Models via Stage-wise Visual Context Compression. CoRR abs/2406.20092 (2024) - 2023
- [i20]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. CoRR abs/2301.00785 (2023) - [i19]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i18]Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Label-Free Liver Tumor Segmentation. CoRR abs/2303.14869 (2023) - [i17]Ju He, Jieneng Chen, Ming-Xian Lin, Qihang Yu, Alan L. Yuille:
Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation. CoRR abs/2306.07404 (2023) - [i16]Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou:
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers. CoRR abs/2310.07781 (2023) - [i15]Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille:
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR abs/2311.18266 (2023) - 2022
- [i14]Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou:
Synthetic Tumors Make AI Segment Tumors Better. CoRR abs/2210.14845 (2022) - [i13]Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip H. S. Torr, Song Bai:
LUMix: Improving Mixup by Better Modelling Label Uncertainty. CoRR abs/2211.15846 (2022) - 2021
- [i12]Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L. Yuille, Yuyin Zhou:
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. CoRR abs/2102.04306 (2021) - [i11]Boxiang Yun, Yan Wang, Jieneng Chen, Huiyu Wang, Wei Shen, Qingli Li:
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation. CoRR abs/2103.03604 (2021) - [i10]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i9]Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan L. Yuille:
TransFG: A Transformer Architecture for Fine-grained Recognition. CoRR abs/2103.07976 (2021) - [i8]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching. CoRR abs/2104.05215 (2021) - [i7]Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai:
TransMix: Attend to Mix for Vision Transformers. CoRR abs/2111.09833 (2021) - [i6]Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jieneng Chen, Shuai Liu, Cheng Yang, Alan L. Yuille:
PartImageNet: A Large, High-Quality Dataset of Parts. CoRR abs/2112.00933 (2021) - [i5]Jingye Chen, Jieneng Chen, Zongwei Zhou, Bin Li, Alan L. Yuille, Yongyi Lu:
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification. CoRR abs/2112.01767 (2021) - 2020
- [i4]Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. CoRR abs/2009.04448 (2020) - [i3]Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang:
Semi-supervised Segmentation via Uncertainty Rectified Pyramid Consistency and Its Application to Gross Target Volume of Nasopharyngeal Carcinoma. CoRR abs/2012.07042 (2020) - 2019
- [i2]Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu:
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent. CoRR abs/1903.12517 (2019) - [i1]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CoRR abs/1912.03383 (2019)
Coauthor Index
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