Jieneng Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 44

Top Topics

Reinforcement Learning

Organ Segmentation

Image Segmentation

Top Venues

Medical Image Anal.

Publications

Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR (2024)
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 (2024)
Siwei Yang, Xianhang Li, Jieru Mei, Jieneng Chen, Cihang Xie, Yuyin Zhou
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge. CoRR (2024)
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 (2024)
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) (2024)
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 (2023)
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)
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou
Label-Free Liver Tumor Segmentation. CoRR (2023)
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 (2023)
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)
Ruxiao Duan, Yaoyao Liu, Jieneng Chen, Adam Kortylewski, Alan L. Yuille
Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning. CoRR (2023)
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)
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 (2023)
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 (2023)
Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou
Label-Free Liver Tumor Segmentation. CVPR (2023)
Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai
TransMix: Attend to Mix for Vision Transformers. CVPR (2022)
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) (2022)
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 (2022)
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 (2022)
Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jieneng Chen, Alan L. Yuille, Zongwei Zhou
Synthetic Tumors Make AI Segment Tumors Better. CoRR (2022)
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)
Ju He, Jieneng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang
TransFG: A Transformer Architecture for Fine-Grained Recognition. AAAI (2022)
Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip Torr, Song Bai
LUMix: Improving Mixup by Better Modelling Label Uncertainty. CoRR (2022)
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 (2022)
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)
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 (2021)
Boxiang Yun, Yan Wang, Jieneng Chen, Huiyu Wang, Wei Shen, Qingli Li
SpecTr: Spectral Transformer for Hyperspectral Pathology Image Segmentation. CoRR (2021)
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)
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 (2021)
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)
Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai
TransMix: Attend to Mix for Vision Transformers. CoRR (2021)
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 (2021)
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 (2021)
Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang
Semi-supervised Medical Image Segmentation through Dual-task Consistency. AAAI (2021)
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 (2021)
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 (2021)
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)
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)
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) (2020)
Xiangde Luo, Jieneng Chen, Tao Song, Yinan Chen, Guotai Wang, Shaoting Zhang
Semi-supervised Medical Image Segmentation through Dual-task Consistency. CoRR (2020)
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 (2020)
Jieneng Chen, Jingye Chen, Ruiming Zhang, Xiaobin Hu
Towards Brain-inspired System: Deep Recurrent Reinforcement Learning for Simulated Self-driving Agent. CoRR (2019)
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 (2019)
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 (2019)